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Lee R, McMillan D, Delgadillo J, Alexander R, Lucock M. Cognitive change before sudden gains in cognitive behavioural therapy for panic disorder. Behav Cogn Psychother 2024; 52:107-118. [PMID: 37821240 DOI: 10.1017/s1352465823000449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
BACKGROUND Sudden gains occur in a range of disorders and treatments and are of clinical and theoretical significance if they can shed light on therapeutic change processes. This study investigated the relationship between sudden gains in panic symptoms and preceding cognitive change during cognitive behavioural therapy (CBT) for panic disorder. METHOD Participants with panic disorder completed in session measures of panic symptoms and catastrophic cognitions. Independent samples t-tests were used to compare the post-treatment score of those who met criteria for one or more sudden gain during treatment with those who did not, and to compare within-session cognitive change between pre-sudden gain sessions and the previous (control) session. RESULTS Twenty-two (42%) of 53 participants experienced a sudden gain during treatment. Participants demonstrating a sudden gain showed more improvement in panic symptoms from pre- to post-treatment than those without a sudden gain. The within-session cognitive change score in the pre-gain session was significantly greater than in the control session. CONCLUSIONS Sudden gains occurred in individual CBT for panic disorder and within-session cognitive change was associated with sudden gains. This is consistent with the cognitive model of panic disorder and highlights how sudden gains can help to identify key change processes.
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Affiliation(s)
- Rachel Lee
- South West Yorkshire Partnership NHS Foundation Trust, Fieldhead, Wakefield, UK
| | - Dean McMillan
- Hull York Medical School and Department of Health Sciences, Mental Health and Addiction Research Group, University of York, Heslington, York, UK
| | - Jaime Delgadillo
- Clinical and Applied Psychology Unit, Department of Psychology, University of Sheffield, Sheffield, UK
| | - Rachael Alexander
- South West Yorkshire Partnership NHS Foundation Trust, Fieldhead, Wakefield, UK
| | - Mike Lucock
- University of Huddersfield, Huddersfield, UK
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Camacho EM, Shields GE, Chew-Graham CA, Eisner E, Gilbody S, Littlewood E, McMillan D, Watson K, Fearon P, Sharp DJ. Generating EQ-5D-3L health utility scores from the Edinburgh Postnatal Depression Scale: a perinatal mapping study. Eur J Health Econ 2024; 25:319-332. [PMID: 37093502 PMCID: PMC10858827 DOI: 10.1007/s10198-023-01589-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 04/11/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Perinatal depression (PND) describes depression experienced by parents during pregnancy or in the first year after a baby is born. The EQ-5D instrument (a generic measure of health status) is not often collected in perinatal research, however disease-specific measures, such as the Edinburgh Postnatal Depression Scale (EPDS) are widely used. Mapping can be used to estimate generic health utility index values from disease-specific measures like the EPDS. OBJECTIVE To develop a mapping algorithm to estimate EQ-5D utility index values from the EPDS. METHODS Patient-level data from the BaBY PaNDA study (English observational cohort study) provided 1068 observations with paired EPDS and EQ-5D (3-level version; EQ-5D-3L) responses. We compared the performance of six alternative regression model types, each with four specifications of covariates (EPDS score and age: base, squared, and cubed). Model performance (ability to predict utility values) was assessed by ranking mean error, mean absolute error, and root mean square error. Algorithm performance in 3 external datasets was also evaluated. RESULTS There was moderate correlation between EPDS score and utility values (coefficient: - 0.42). The best performing model type was a two-part model, followed by ordinary least squared. Inclusion of squared and cubed covariates improved model performance. Based on graphs of observed and predicted utility values, the algorithm performed better when utility was above 0.6. CONCLUSIONS This direct mapping algorithm allows the estimation of health utility values from EPDS scores. The algorithm has good external validity but is likely to perform better in samples with higher health status.
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Affiliation(s)
- Elizabeth M Camacho
- School of Health Sciences, University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PT, UK.
| | - Gemma E Shields
- School of Health Sciences, University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PT, UK
| | | | - Emily Eisner
- School of Health Sciences, University of Manchester, Jean McFarlane Building, Oxford Road, Manchester, M13 9PT, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Simon Gilbody
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
| | | | - Dean McMillan
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
| | - Kylie Watson
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Pasco Fearon
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Deborah J Sharp
- Centre for Academic Primary Care, University of Bristol, Bristol, UK
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Gilbody S, Littlewood E, McMillan D, Atha L, Bailey D, Baird K, Brady S, Burke L, Chew-Graham CA, Coventry P, Crosland S, Fairhurst C, Henry A, Hollingsworth K, Newbronner E, Ryde E, Shearsmith L, Wang HI, Webster J, Woodhouse R, Clegg A, Dexter-Smith S, Gentry T, Hewitt C, Hill A, Lovell K, Sloan C, Traviss-Turner G, Pratt S, Ekers D. Behavioural activation to mitigate the psychological impacts of COVID-19 restrictions on older people in England and Wales (BASIL+): a pragmatic randomised controlled trial. Lancet Healthy Longev 2024; 5:e97-e107. [PMID: 38310902 PMCID: PMC10834375 DOI: 10.1016/s2666-7568(23)00238-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/27/2023] [Accepted: 11/09/2023] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Older adults were more likely to be socially isolated during the COVID-19 pandemic, with increased risk of depression and loneliness. We aimed to investigate whether a behavioural activation intervention delivered via telephone could mitigate depression and loneliness in at-risk older people during the COVID-19 pandemic. METHODS BASIL+ (Behavioural Activation in Social Isolation) was a pragmatic randomised controlled trial conducted among patients recruited from general practices in England and Wales, and was designed to assess the effectiveness of behavioural activation in mitigating depression and loneliness among older people during the COVID-19 pandemic. Eligible participants were aged 65 years and older, socially isolated, with a score of 5 or higher on the Patient Health Questionnaire-9 (PHQ-9), and had multiple long-term conditions. Participants were allocated in a 1:1 ratio to the intervention (behavioural activation) or control groups by use of simple randomisation without stratification. Behavioural activation was delivered by telephone; participants were offered up to eight weekly sessions with trained BASIL+ Support Workers. Behavioural activation was adapted to maintain social connections and encourage socially reinforcing activities. Participants in the control group received usual care with existing COVID-19 wellbeing resources. The primary clinical outcome was self-reported depression severity, assessed by the PHQ-9, at 3 months. Outcomes were assessed masked to allocation and analysis was by treatment allocation. This trial is registered with the ISRCTN registry (ISRCTN63034289). FINDINGS Between Feb 8, 2021, and Feb 28, 2022, 449 eligible participants were identified and 435 from 26 general practices were recruited and randomly assigned (1:1) to the behavioural activation intervention (n=218) or to the control group (usual care with signposting; n=217). The mean age of participants was 75·7 years (SD 6·7); 270 (62·1%) of 435 participants were female, and 418 (96·1%) were White. Participants in the intervention group attended an average of 5·2 (SD 2·9) of eight remote behavioural activation sessions. The adjusted mean difference in PHQ-9 scores between the control and intervention groups at 3 months was -1·65 (95% CI -2·54 to -0·75, p=0·0003). No adverse events were reported that were attributable to the behavioural activation intervention. INTERPRETATION Behavioural activation is an effective and potentially scalable intervention that can reduce symptoms of depression and emotional loneliness in at-risk groups in the short term. The findings of this trial add to the range of strategies to improve the mental health of older adults with multiple long-term conditions. These results can be helpful to policy makers beyond the pandemic in reducing the global burden of depression and addressing the health impacts of loneliness, particularly in at-risk groups. FUNDING UK National Institute for Health and Care Research.
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Affiliation(s)
- Simon Gilbody
- Department of Health Sciences, University of York, York, UK; Hull York Medical School, University of York, York, UK.
| | - Elizabeth Littlewood
- Department of Health Sciences, University of York, York, UK; Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
| | - Dean McMillan
- Department of Health Sciences, University of York, York, UK; Hull York Medical School, University of York, York, UK; Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
| | - Lucy Atha
- Department of Health Sciences, University of York, York, UK
| | - Della Bailey
- Department of Health Sciences, University of York, York, UK
| | - Kalpita Baird
- Department of Health Sciences, University of York, York, UK
| | - Samantha Brady
- Department of Health Sciences, University of York, York, UK
| | - Lauren Burke
- Department of Health Sciences, University of York, York, UK
| | | | - Peter Coventry
- Department of Health Sciences, University of York, York, UK; York Environmental Sustainability Institute, University of York, York, UK
| | | | | | - Andrew Henry
- Department of Health Sciences, University of York, York, UK; Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
| | - Kelly Hollingsworth
- Department of Health Sciences, University of York, York, UK; Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
| | | | - Eloise Ryde
- Department of Health Sciences, University of York, York, UK; Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
| | | | - Han-I Wang
- Department of Health Sciences, University of York, York, UK
| | | | | | - Andrew Clegg
- School of Medicine, University of Leeds, Leeds, UK
| | - Sarah Dexter-Smith
- Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
| | | | | | - Andrew Hill
- School of Medicine, University of Leeds, Leeds, UK
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, UK
| | - Claire Sloan
- Department of Health Sciences, University of York, York, UK
| | | | | | - David Ekers
- Department of Health Sciences, University of York, York, UK; Tees, Esk and Wear Valleys NHS Foundation Trust, Research & Development, Flatts Lane Centre, Middlesbrough, UK
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Camacho EM, Shields GE, Eisner E, Littlewood E, Watson K, Chew-Graham CA, McMillan D, Ali S, Gilbody S. An economic evaluation of universal and targeted case-finding strategies for identifying antenatal depression: a model-based analysis comparing common case-finding instruments. Arch Womens Ment Health 2023:10.1007/s00737-023-01377-2. [PMID: 37851079 DOI: 10.1007/s00737-023-01377-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 09/30/2023] [Indexed: 10/19/2023]
Abstract
Half of women with depression in the perinatal period are not identified in routine care, and missed cases reflect inequalities in other areas of maternity care. Case finding (screening) for depression in pregnant women may be a cost-effective strategy to improve identification, and targeted case finding directs finite resources towards the greatest need. We compared the cost-effectiveness of three case-finding strategies: no case finding, universal (all pregnant women), and targeted (only pregnant women with risk factors for antenatal depression, i.e. history of anxiety/depression, age < 20 years, and adverse life events). A decision tree model was developed to represent case finding (at around 20 weeks gestation) and subsequent treatment for antenatal depression (up to 40 weeks gestation). Costs include case finding and treatment. Health benefits are measured as quality-adjusted life years (QALYs). The sensitivity and specificity of case-finding instruments and prevalence and severity of antenatal depression were estimated from a cohort study of pregnant women. Other model parameters were derived from published literature and expert consultation. The most cost-effective case-finding strategy was a two-stage strategy comprising the Whooley questions followed by the PHQ-9. The mean costs were £52 (universal), £61 (no case finding), and £62 (targeted case finding). Both case-finding strategies improve health compared with no case finding. Universal case finding is cost-saving. Costs associated with targeted case finding are similar to no case finding, with greater health gains, although targeted case finding is not cost-effective compared with universal case finding. Universal case finding for antenatal depression is cost-saving compared to no case finding and more cost-effective than targeted case finding.
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Affiliation(s)
- Elizabeth M Camacho
- School of Health Sciences, University of Manchester, Manchester, UK.
- Institute of Population Health, University of Liverpool, Liverpool, UK.
| | - Gemma E Shields
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Emily Eisner
- School of Health Sciences, University of Manchester, Manchester, UK
- Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | | | - Kylie Watson
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Dean McMillan
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
| | - Shehzad Ali
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
- Schulich School of Medicine & Dentistry, Western University, London, Canada
| | - Simon Gilbody
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
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Richardson R, Dale HE, Robertson L, Meader N, Wellby G, McMillan D, Churchill R. Mental Health First Aid as a tool for improving mental health and well-being. Cochrane Database Syst Rev 2023; 8:CD013127. [PMID: 37606172 PMCID: PMC10444982 DOI: 10.1002/14651858.cd013127.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
BACKGROUND The prevalence of mental health problems is high, and they have a wide-ranging and deleterious effect on many sectors in society. As well as the impact on individuals and families, mental health problems in the workplace negatively affect productivity. One of the factors that may exacerbate the impact of mental health problems is a lack of 'mental health literacy' in the general population. This has been defined as 'knowledge and beliefs about mental disorders, which aid their recognition, management, or prevention'. Mental Health First Aid (MHFA) is a brief training programme developed in Australia in 2000; its aim is to improve mental health literacy and teach mental health first aid strategies. The course has been adapted for various contexts, but essentially covers the symptoms of various mental health disorders, along with associated mental health crisis situations. The programmes also teach trainees how to provide immediate help to people experiencing mental health difficulties, as well as how to signpost to professional services. It is theorised that improved knowledge will encourage the trainees to provide support, and encourage people to actively seek help, thereby leading to improvements in mental health. This review focuses on the effects of MHFA on the mental health and mental well-being of individuals and communities in which MHFA training has been provided. We also examine the impact on mental health literacy. This information is essential for decision-makers considering the role of MHFA training in their organisations. OBJECTIVES To examine mental health and well-being, mental health service usage, and adverse effects of MHFA training on individuals in the communities in which MHFA training is delivered. SEARCH METHODS We developed a sensitive search strategy to identify randomised controlled trials (RCTs) of MHFA training. This approach used bibliographic databases searching, using a search strategy developed for Ovid MEDLINE (1946 -), and translated across to Ovid Embase (1974 -), Ovid PsycINFO (1967 -), the Cochrane Central Register of Controlled Trials (CENTRAL) and the Cochrane Common Mental Disorders Group's Specialised Register (CCMDCTR). We also searched online clinical trial registries (ClinicalTrials.gov and WHO ICTRP), grey literature and reference lists of included studies, and contacted researchers in the field to identify additional and ongoing studies. Searches are current to 13th June 2023. SELECTION CRITERIA We included RCTs and cluster-RCTs comparing any type of MHFA-trademarked course to no intervention, active or attention control (such as first aid courses), waiting list control, or alternative mental health literacy interventions. Participants were individuals in the communities in which MHFA training is delivered and MHFA trainees. Primary outcomes included mental health and well-being of individuals, mental health service usage and adverse effects of MHFA training. Secondary outcomes related to individuals, MHFA trainees, and communities or organisations in which MHFA training has been delivered DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. We analysed categorical outcomes as risk ratios (RRs) and odds ratios (ORs), and continuous outcomes as mean differences (MDs) or standardised mean differences (SMDs), with 95% confidence intervals (CIs). We pooled data using a random-effects model. Two review authors independently assessed the key results using the Risk of Bias 2 tool and applied the GRADE criteria to assess the certainty of evidence MAIN RESULTS: Twenty-one studies involving a total of 22,604 participants were included in the review. Fifteen studies compared MHFA training with no intervention/waiting list, two studies compared MHFA training with an alternative mental health literacy intervention, and four studies compared MHFA training with an active or an attention control intervention. Our primary time point was between six and 12 months. When MHFA training was compared with no intervention, it may have little to no effect on the mental health of individuals at six to 12 months, but the evidence is very uncertain (OR 0.88, 95% CI 0.61 to 1.28; 3 studies; 3939 participants). We judged all the results that contributed to this outcome as being at high risk of bias. No study measured mental health service usage at six to 12 months. We did not find published data on adverse effects. Only one study with usable data compared MHFA training with an alternative mental health literacy intervention. The study did not measure outcomes in individuals in the community. It also did not measure outcomes at our primary time point of six to 12 months. Four studies with usable data compared MHFA training to an active or attention control. None of the studies measured outcomes at our primary time point of six to 12 months. AUTHORS' CONCLUSIONS We cannot draw conclusions about the effects of MHFA training on our primary outcomes due to the lack of good quality evidence. This is the case whether it is compared to no intervention, to an alternative mental health literacy intervention, or to an active control. Studies are at high risk of bias and often not sufficiently large to be able to detect differences.
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Affiliation(s)
| | - Holly Eve Dale
- Berkshire Healthcare NHS Foundation Trust, Bracknell, UK
| | | | | | - George Wellby
- Department of Psychiatry, West London Mental Health NHS Trust, London, UK
| | - Dean McMillan
- Department of Health Sciences, University of York, York, UK
| | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, York, UK
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Paton LW, Tiffin PA, Barkham M, Bewick BM, Broglia E, Edwards L, Knowles L, McMillan D, Heron PN. Mental health trajectories in university students across the COVID-19 pandemic: findings from the Student Wellbeing at Northern England Universities prospective cohort study. Front Public Health 2023; 11:1188690. [PMID: 37529437 PMCID: PMC10387533 DOI: 10.3389/fpubh.2023.1188690] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/12/2023] [Indexed: 08/03/2023] Open
Abstract
Introduction Psychological wellbeing in university students is receiving increased focus. However, to date, few longitudinal studies in this population have been conducted. As such, in 2019, we established the Student Wellbeing At Northern England Universities (SWANS) cohort at the University of York, United Kingdom aiming to measure student mental health and wellbeing every six months. Furthermore, the study period included the COVID-19 pandemic, giving an opportunity to track student wellbeing over time, including over the pandemic. Methods Eligible participants were invited to participate via email. Data were collected, using Qualtrics, from September 2019 to April 2021, across five waves (W1 to W5). In total, n = 4,622 students participated in at least one wave of the survey. Data collection included sociodemographic, educational, personality measures, and mental health and wellbeing. Latent profile analyses were performed, exploring trajectories of student wellbeing over the study period for those who had completed at least three of the five waves of the survey (n = 765), as measured by the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS). Results Five latent profile trajectories of student wellbeing were identified. Of these, the two latent classes with initially higher wellbeing scores had broadly stable wellbeing across time (total n = 505, 66%). Two classes had lower initial scores, which lowered further across time (total n = 227, 30%). Additionally, a fifth class of students was identified who improved substantially over the study period, from a mean WEMWBS of 30.4 at W1, to 49.4 at W5 (n = 33, 4%). Risk factors for having less favourable wellbeing trajectories generally included identifying as LGBT+, self-declaring a disability, or previously being diagnosed with a mental health condition. Conclusion Our findings suggest a mixed picture of the effect of the COVID-19 pandemic on student wellbeing, with a majority showing broadly consistent levels of wellbeing across time, a smaller but still substantial group showing a worsening of wellbeing, and a small group that showed a very marked improvement in wellbeing. Those from groups traditionally underrepresented in higher education were most at risk of poorer wellbeing. This raises questions as to whether future support for wellbeing should target specific student subpopulations.
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Affiliation(s)
- Lewis W. Paton
- Hull York Medical School, University of York, York, United Kingdom
- Department of Health Sciences, University of York, York, United Kingdom
| | - Paul A. Tiffin
- Hull York Medical School, University of York, York, United Kingdom
- Department of Health Sciences, University of York, York, United Kingdom
| | - Michael Barkham
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
| | | | - Emma Broglia
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
- Student Mental Health, Counselling and Therapies Service, The University of Sheffield, Sheffield, United Kingdom
| | - Lisa Edwards
- Faculty of Health Studies, University of Bradford, Bradford, United Kingdom
| | - Louise Knowles
- Student Mental Health, Counselling and Therapies Service, The University of Sheffield, Sheffield, United Kingdom
| | - Dean McMillan
- Hull York Medical School, University of York, York, United Kingdom
- Department of Health Sciences, University of York, York, United Kingdom
| | - Paul N. Heron
- Department of Health Sciences, University of York, York, United Kingdom
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Camacho E, Shields G, Eisner E, Chew-Graham C, Gilbody S, Littlewood E, McMillan D, Watson K. Exploring the cost-effectiveness of case-finding for antenatal depression: an economic modelling study. Br J Gen Pract 2023; 73:bjgp23X733977. [PMID: 37479293 DOI: 10.3399/bjgp23x733977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND The NHS has limited human and financial resources, with particular pressures in primary care. The National Institute for Health and Care Excellence (NICE) makes decisions on which services can be commissioned within the NHS. Many women experiencing antenatal depression are not identified as such in routine care and so may not access support. Current NICE guidance does not recommend universal case-finding for antenatal depression; however, a programme targeted towards pregnant women with risk factors (for example, previous mental illness, traumatic life events) has not been considered. AIM To explore the cost-effectiveness of case-finding for antenatal depression: targeted vs. universal vs. no case-finding. METHOD The following case-finding tools were evaluated: Edinburgh Postnatal Depression Scale, Whooley questions, PHQ-9. One- and two-stage strategies were considered (second tool administered following positive response to Whooley questions). A decision tree model of costs and health outcomes from 20-40 weeks' gestation was developed. Health was measured as quality-adjusted-life-years (QALYs). Costs included case-finding and treatment for depression. RESULTS The two-stage Whooley/PHQ-9 option was the most cost-effective case-finding strategy. Implementing a universal case-finding strategy was associated with lower costs than no case-finding (£52 vs £61) and more QALYs (0.3458 vs 0.3455). Targeted case-finding has similar costs to no case-finding and more QALYs (0.3459), requiring a spend of £1775 to improve health by 1 QALY. CONCLUSION Universal case-finding for antenatal depression is cost-saving and improves health compared with no case-finding. It should be considered by policymakers to improve the identification and support of women experiencing antenatal depression in primary and maternity care.
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Camacho EM, Shields GE, Eisner E, Littlewood E, Watson K, Chew-Graham CA, McMillan D, Ali S, Gilbody S. An economic evaluation of targeted case-finding strategies for identifying postnatal depression: A model-based analysis comparing common case-finding instruments. J Affect Disord 2023; 334:26-34. [PMID: 37142002 DOI: 10.1016/j.jad.2023.04.106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 04/20/2023] [Accepted: 04/28/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Half of women with postnatal depression (PND) are not identified in routine care. We aimed to estimate the cost-effectiveness of PND case-finding in women with risk factors for PND. METHODS A decision tree was developed to represent the one-year costs and health outcomes associated with case-finding and treatment for PND. The sensitivity and specificity of case-finding instruments, and prevalence and severity of PND, for women with ≥1 PND risk factor were estimated from a cohort of postnatal women. Risk factors were history of anxiety/depression, age < 20 years, and adverse life events. Other model parameters were derived from published literature and expert consultation. Case-finding for high-risk women only was compared with no case-finding and universal case-finding. RESULTS More than half of the cohort had one or more PND risk factor (57.8 %; 95 % CI 52.7 %-62.7 %). The most cost-effective case-finding strategy was the Edinburgh Postnatal Depression Scale with a cut-off of ≥10 (EPDS-10). Among high-risk women, there is a high probability that EPDS-10 case-finding for PND is cost-effective compared to no case-finding (78.5 % at a threshold of £20,000/QALY), with an ICER of £8146/QALY gained. Universal case-finding is even more cost-effective at £2945/QALY gained (versus no case-finding). There is a greater health improvement with universal rather than targeted case-finding. LIMITATIONS The model includes costs and health benefits for mothers in the first year postpartum, the broader (e.g. families, societal) and long-term impacts are also important. CONCLUSIONS Universal PND case-finding is more cost-effective than targeted case-finding which itself is more cost-effective than not case-finding.
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Affiliation(s)
| | - Gemma E Shields
- School of Health Sciences, University of Manchester, United Kingdom
| | - Emily Eisner
- School of Health Sciences, University of Manchester, United Kingdom; Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | | | - Kylie Watson
- Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | | | - Dean McMillan
- Hull York Medical School and Department of Health Sciences, University of York, United Kingdom
| | - Shehzad Ali
- Hull York Medical School and Department of Health Sciences, University of York, United Kingdom; Schulich School of Medicine & Dentistry, Western University, Canada
| | - Simon Gilbody
- Hull York Medical School and Department of Health Sciences, University of York, United Kingdom
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Sullivan E, Daly L, Dolan R, McMillan D, Ní Bhuachalla É, Power D, Fallon M, Simmons C, Laird B, Ryan A. Nutritional And Inflammatory Prognosticators In Advanced Cancer. Clin Nutr ESPEN 2023. [DOI: 10.1016/j.clnesp.2022.09.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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Shearsmith L, Coventry PA, Sloan C, Henry A, Newbronner L, Littlewood E, Bailey D, Gascoyne S, Burke L, Ryde E, Woodhouse R, McMillan D, Ekers D, Gilbody S, Chew-Graham C. Acceptability of a behavioural intervention to mitigate the psychological impacts of COVID-19 restrictions in older people with long-term conditions: a qualitative study. BMJ Open 2023; 13:e064694. [PMID: 36914198 PMCID: PMC10015671 DOI: 10.1136/bmjopen-2022-064694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2023] Open
Abstract
OBJECTIVES The COVID-19 pandemic heightened the need to address loneliness, social isolation and associated incidence of depression among older adults. Between June and October 2020, the Behavioural Activation in Social IsoLation (BASIL) pilot study investigated the acceptability and feasibility of a remotely delivered brief psychological intervention (behavioural cctivation) to prevent and reduce loneliness and depression in older people with long-term conditions during the COVID-19 pandemic. DESIGN An embedded qualitative study was conducted. Semi-structured interviews generated data that was analysed inductively using thematic analysis and then deductively using the theoretical framework of acceptability (TFA). SETTING NHS and third sector organisations in England. PARTICIPANTS Sixteen older adults and nine support workers participating in the BASIL pilot study. RESULTS Acceptability of the intervention was high across all constructs of the TFA: Older adults and BASIL Support Workers described a positive Affective Attitude towards the intervention linked to altruism, however the activity planning aspect of the intervention was limited due to COVID-19 restrictions. A manageable Burden was involved with delivering and participating in the intervention. For Ethicality, older adults valued social contact and making changes, support workers valued being able to observe those changes. The intervention was understood by older adults and support workers, although less understanding in older adults without low mood (Intervention Coherence). Opportunity Cost was low for support workers and older adults. Behavioural Activation was perceived to be useful in the pandemic and likely to achieve its aims (Perceived Effectiveness), especially if tailored to people with both low mood and long-term conditions. Self-efficacy developed over time and with experience for both support workers and older adults. CONCLUSIONS Overall, BASIL pilot study processes and the intervention were acceptable. Use of the TFA provided valuable insights into how the intervention was experienced and how the acceptability of study processes and the intervention could be enhanced ahead of the larger definitive trial (BASIL+).
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Affiliation(s)
| | - Peter A Coventry
- Department of Health Sciences, University of York, York, UK
- York Environmental Sustainability Institute, University of York, York, UK
| | - Claire Sloan
- Department of Health Sciences, University of York, York, UK
| | - Andrew Henry
- Department of Health Sciences, University of York, York, UK
- Research and Development, Tees Esk and Wear Valleys NHS Foundation Trust, Flatts Lane Centre, Middlesbrough, UK
| | - Liz Newbronner
- Department of Health Sciences, University of York, York, UK
| | | | - Della Bailey
- Department of Health Sciences, University of York, York, UK
| | | | - Lauren Burke
- Department of Health Sciences, University of York, York, UK
| | - Eloise Ryde
- Department of Health Sciences, University of York, York, UK
- Research and Development, Tees Esk and Wear Valleys NHS Foundation Trust, Flatts Lane Centre, Middlesbrough, UK
| | | | - Dean McMillan
- Department of Health Sciences, University of York, York, UK
- Mental Health and Addiction Research Group, Hull York Medical School, Hull, UK
| | - David Ekers
- Department of Health Sciences, University of York, York, UK
- Research and Development, Tees Esk and Wear Valleys NHS Foundation Trust, Flatts Lane Centre, Middlesbrough, UK
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK
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11
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Wu Y, Levis B, Daray FM, Ioannidis JPA, Patten SB, Cuijpers P, Ziegelstein RC, Gilbody S, Fischer FH, Fan S, Sun Y, He C, Krishnan A, Neupane D, Bhandari PM, Negeri Z, Riehm KE, Rice DB, Azar M, Yan XW, Imran M, Chiovitti MJ, Boruff JT, McMillan D, Kloda LA, Markham S, Henry M, Ismail Z, Loiselle CG, Mitchell ND, Al-Adawi S, Beck KR, Beraldi A, Bernstein CN, Boye B, Büel-Drabe N, Bunevicius A, Can C, Carter G, Chen CK, Cheung G, Clover K, Conroy RM, Costa-Requena G, Cukor D, Dabscheck E, De Souza J, Downing M, Feinstein A, Ferentinos PP, Flint AJ, Gallagher P, Gandy M, Grassi L, Härter M, Hernando A, Jackson ML, Jenewein J, Jetté N, Julião M, Kjærgaard M, Köhler S, König HH, Krishna LKR, Lee Y, Löbner M, Loosman WL, Love AW, Löwe B, Malt UF, Marrie RA, Massardo L, Matsuoka Y, Mehnert A, Michopoulos I, Misery L, Nelson CJ, Ng CG, O'Donnell ML, O'Rourke SJ, Öztürk A, Pabst A, Pasco JA, Peceliuniene J, Pintor L, Ponsford JL, Pulido F, Quinn TJ, Reme SE, Reuter K, Riedel-Heller SG, Rooney AG, Sánchez-González R, Saracino RM, Schellekens MPJ, Scherer M, Benedetti A, Thombs BD, Et Al. Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis. Psychol Assess 2023; 35:95-114. [PMID: 36689386 DOI: 10.1037/pas0001181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data meta-analysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from -0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02-0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Federico M Daray
- Institute of Pharmacology, School of Medicine, University of Buenos Aires
| | | | - Scott B Patten
- Department of Community Health Sciences, University of Calgary
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit
| | | | - Simon Gilbody
- Department of Health Sciences, Hull York Medical School, University of York
| | - Felix H Fischer
- Department of Psychosomatic Medicine, Charité-Universitätsmedizin Berlin
| | - Suiqiong Fan
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | | | - Zelalem Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Xin Wei Yan
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | | | - Jill T Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University
| | - Dean McMillan
- Department of Health Sciences, Hull York Medical School, University of York
| | | | - Sarah Markham
- Department of Biostatistics and Health Informatics, King's College London
| | - Melissa Henry
- Lady Davis Institute for Medical Research, Jewish General Hospital
| | - Zahinoor Ismail
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary
| | | | | | - Samir Al-Adawi
- Department of Behavioural Medicine, College of Medicine & Health Sciences, Sultan Qaboos University
| | - Kevin R Beck
- Department of Psychiatry, Singapore General Hospital, Singapore
| | - Anna Beraldi
- kbo Lech-Mangfall-Klinik für Psychatrie, Psychotherapie und Psychsomatik, Garmisch-Partenkirchen
| | | | - Birgitte Boye
- Department of Behavioural Medicine, University of Oslo
| | | | | | - Ceyhun Can
- Adana City Training and Research Hospital
| | - Gregory Carter
- School of Medicine and Public Health, University of Newcastle
| | - Chih-Ken Chen
- Community Medicine Research Center, Keelung Chang Gung Memorial Hospital, Chang Gung University College of Medicine
| | - Gary Cheung
- Department of Psychological Medicine, University of Auckland
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle
| | - Ronán M Conroy
- Division of Population Health Sciences, Royal College of Surgeons in Ireland
| | - Gema Costa-Requena
- Department of Psychiatry, Clinical Psychology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Centro de Investigacióo Biomédica en Red de Salud Mental
| | | | | | | | | | | | - Panagiotis P Ferentinos
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens
| | | | | | - Milena Gandy
- The School of Psychological Sciences, Macquarie University
| | - Luigi Grassi
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara
| | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg, University of Hamburg
| | | | | | - Josef Jenewein
- Department of Medical Psychology and Psychotherapy, Medical University of Graz
| | - Nathalie Jetté
- Department of Neurology, Icahn School of Medicine at Mount Sinai
| | - Miguel Julião
- Equipa Comunitária de Suporte em Cuidados Paliativos de Sintra
| | - Marie Kjærgaard
- Endocrinology Research Group, Medical Clinic, University Hospital of North Norway
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf
| | | | - Yu Lee
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine
| | - Margrit Löbner
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig
| | | | | | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf
| | - Ulrik F Malt
- Department of Research and Education Division of Surgery and Clinical Neuroscience, University of Oslo
| | - Ruth Ann Marrie
- Department of Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba
| | - Loreto Massardo
- Centro de Biología Celular y Biomedicina, Facultad de Medicina y Ciencia, Universidad San Sebastián
| | - Yutaka Matsuoka
- Division of Health Care Research, Center for Public Health Sciences, National Cancer Center
| | - Anja Mehnert
- Department of Medical Psychology and Medical Sociology, University of Leipzig
| | - Ioannis Michopoulos
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens
| | | | - Christian J Nelson
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Chong Guan Ng
- Department of Psychological Medicine, Faculty of Medicine, University of Malaya
| | | | | | | | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig
| | - Julie A Pasco
- The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University
| | - Jurate Peceliuniene
- Faculty of Medicine, Clinic of Internal Diseases, Family Medicine and Oncology, Vilnius University
| | - Luis Pintor
- Instituto de Investigaciones Biomédicas Augusto Pi i Sunyer
| | | | | | - Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow
| | - Silje E Reme
- Department of Psychology, Faculty of Social Sciences, University of Oslo
| | - Katrin Reuter
- Private Practice for Psychotherapy and Psycho-oncology, Freiburg, Baden-Württemberg
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig
| | | | - Roberto Sánchez-González
- Department of Psychiatry, Institut de Neuropsiquiatria i Addiccions, Centre Emili Mira, Parc de Salut Mar
| | - Rebecca M Saracino
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | | | - Martin Scherer
- Institute of Primary Medical Care, University Medical Center Hamburg-Eppendorf
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital
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12
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Wright B, Fearon P, Garside M, Tsappis E, Amoah E, Glaser D, Allgar V, Minnis H, Woolgar M, Churchill R, McMillan D, Fonagy P, O’Sullivan A, McHale M. Routinely used interventions to improve attachment in infants and young children: a national survey and two systematic reviews. Health Technol Assess 2023; 27:1-226. [PMID: 36722615 PMCID: PMC9900465 DOI: 10.3310/ivcn8847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Attachment refers to an infant's innate tendency to seek comfort from their caregiver. Research shows that attachment is important in promoting healthy social and emotional development. Many parenting interventions have been developed to improve attachment outcomes for children. However, numerous interventions used in routine practice have a limited evidence base, meaning that we cannot be sure if they are helpful or harmful. OBJECTIVES This research aimed to conduct a large-scale survey to identify what interventions are being used in UK services to improve child attachment; conduct a systematic review to evaluate the evidence for parenting attachment interventions; and develop recommendations for future research and practice. DESIGN AND METHODS We worked closely with our Expert Reference Group to plan a large-scale survey focused on relevant UK services. We then conducted two systematic reviews. One searched for all randomised controlled trial evidence for any attachment parenting intervention. The second searched for all research for the top 10 routinely used interventions identified from the survey. RESULTS The survey collected 625 responses covering 734 UK services. The results identified the 10 most commonly used interventions. The responses showed a limited use of validated measures and a wide variety of definitions of attachment. For the first review, seven studies were included from 2516 identified records. These were combined with results from previous reviews conducted by the team. Meta-analyses showed that, overall, parenting interventions are effective in reducing disorganised attachment (pooled odds ratio 0.54, 95% confidence interval 0.39 to 0.77) and increasing secure attachment (pooled odds ratio 1.85, 95% confidence interval 1.36 to 2.52). The second review searched the literature for the top 10 routinely used interventions identified by the survey; 61 studies were included from 1198 identified records. The results showed that many of the most commonly used interventions in UK services have a weak evidence base and those with the strongest evidence base are not as widely used. CONCLUSIONS There is a need for better links between research and practice to ensure that interventions offered to families are safe and effective. Possible reasons for the disparity include the cost and accessibility of training. There is also a need for improved understanding by professionals regarding the meaning of attachment. LIMITATIONS Although the survey had good geographical spread, most respondents were based in England. For review 2 we were unable to access a large number of papers; however, we conducted extensive reference checking to account for this. FUTURE WORK There is a need for robust research to test the efficacy of routinely used attachment interventions. Research could also explore why routinely used interventions are not consistently subject to thorough evaluation; how to embed dissemination, cost-effectiveness, fidelity and sustainability into research; and how to keep clinical practice up to date with research developments. STUDY REGISTRATION This study is registered as PROSPERO CRD42019137362. FUNDING This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 2. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Barry Wright
- Hull York Medical School, University of York, York, UK
| | - Pasco Fearon
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Megan Garside
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Eleni Tsappis
- Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Elaine Amoah
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Danya Glaser
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Victoria Allgar
- Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Helen Minnis
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, York, UK
| | | | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
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13
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Wright B, Tindall L, Scott AJ, Lee E, Cooper C, Biggs K, Bee P, Wang HI, Gega L, Hayward E, Solaiman K, Teare MD, Davis T, Wilson J, Lovell K, McMillan D, Barr A, Edwards H, Lomas J, Turtle C, Parrott S, Teige C, Chater T, Hargate R, Ali S, Parkinson S, Gilbody S, Marshall D. One session treatment (OST) is equivalent to multi-session cognitive behavioral therapy (CBT) in children with specific phobias (ASPECT): results from a national non-inferiority randomized controlled trial. J Child Psychol Psychiatry 2023; 64:39-49. [PMID: 35915056 PMCID: PMC10087411 DOI: 10.1111/jcpp.13665] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND 5%-10% children and young people (CYP) experience specific phobias that impact daily functioning. Cognitive Behaviour Therapy (CBT) is recommended but has limitations. One Session Treatment (OST), a briefer alternative incorporating CBT principles, has demonstrated efficacy. The Alleviating Specific Phobias Experienced by Children Trial (ASPECT) investigated the non-inferiority of OST compared to multi-session CBT for treating specific phobias in CYP. METHODS ASPECT was a pragmatic, multi-center, non-inferiority randomized controlled trial in 26 CAMHS sites, three voluntary agency services, and one university-based CYP well-being service. CYP aged 7-16 years with specific phobia were randomized to receive OST or CBT. Clinical non-inferiority and a nested cost-effectiveness evaluation was assessed 6-months post-randomization using the Behavioural Avoidance Task (BAT). Secondary outcome measures included the Anxiety Disorder Interview Schedule, Child Anxiety Impact Scale, Revised Children's Anxiety Depression Scale, goal-based outcome measure, and EQ-5DY and CHU-9D, collected blind at baseline and six-months. RESULTS 268 CYPs were randomized to OST (n = 134) or CBT (n = 134). Mean BAT scores at 6 months were similar across groups in both intention-to-treat (ITT) and per-protocol (PP) populations (CBT: 7.1 (ITT, n = 76), 7.4 (PP, n = 57), OST: 7.4 (ITT, n = 73), 7.6 (PP, n = 56), on the standardized scale-adjusted mean difference for CBT compared to OST -0.123, 95% CI -0.449 to 0.202 (ITT), mean difference -0.204, 95% CI -0.579 to 0.171 (PP)). These findings were wholly below the standardized non-inferiority limit of 0.4, suggesting that OST is non-inferior to CBT. No between-group differences were found on secondary outcomes. OST marginally decreased mean service use costs and maintained similar mean Quality Adjusted Life Years compared to CBT. CONCLUSIONS One Session Treatment has similar clinical effectiveness to CBT for specific phobias in CYP and may be a cost-saving alternative.
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Affiliation(s)
- Barry Wright
- Leeds and York Partnership NHS Foundation Trust, York, UK
| | - Lucy Tindall
- Leeds and York Partnership NHS Foundation Trust, York, UK
| | | | - Ellen Lee
- University of Sheffield, Sheffield, UK
| | | | | | - Penny Bee
- University of Manchester, Manchester, UK
| | | | | | - Emily Hayward
- Leeds and York Partnership NHS Foundation Trust, York, UK
| | | | | | | | - Jon Wilson
- Norfolk and Suffolk NHS Foundation Trust, Norwich, UK
| | | | | | - Amy Barr
- University of Sheffield, Sheffield, UK
| | - Hannah Edwards
- Leeds and York Partnership NHS Foundation Trust, York, UK
| | | | | | | | - Catarina Teige
- Leeds and York Partnership NHS Foundation Trust, York, UK
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14
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Littlewood E, McMillan D, Chew Graham C, Bailey D, Gascoyne S, Sloane C, Burke L, Coventry P, Crosland S, Fairhurst C, Henry A, Hewitt C, Baird K, Ryde E, Shearsmith L, Traviss-Turner G, Woodhouse R, Webster J, Meader N, Churchill R, Eddy E, Heron P, Hicklin N, Shafran R, Almeida O, Clegg A, Gentry T, Hill A, Lovell K, Dexter-Smith S, Ekers D, Gilbody S. Can we mitigate the psychological impacts of social isolation using behavioural activation? Long-term results of the UK BASIL urgent public health COVID-19 pilot randomised controlled trial and living systematic review. Evid Based Ment Health 2022; 25:e49-e57. [PMID: 36223980 PMCID: PMC9811092 DOI: 10.1136/ebmental-2022-300530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Behavioural and cognitive interventions remain credible approaches in addressing loneliness and depression. There was a need to rapidly generate and assimilate trial-based data during COVID-19. OBJECTIVES We undertook a parallel pilot RCT of behavioural activation (a brief behavioural intervention) for depression and loneliness (Behavioural Activation in Social Isolation, the BASIL-C19 trial ISRCTN94091479). We also assimilate these data in a living systematic review (PROSPERO CRD42021298788) of cognitive and/or behavioural interventions. METHODS Participants (≥65 years) with long-term conditions were computer randomised to behavioural activation (n=47) versus care as usual (n=49). Primary outcome was PHQ-9. Secondary outcomes included loneliness (De Jong Scale). Data from the BASIL-C19 trial were included in a metanalysis of depression and loneliness. FINDINGS The 12 months adjusted mean difference for PHQ-9 was -0.70 (95% CI -2.61 to 1.20) and for loneliness was -0.39 (95% CI -1.43 to 0.65).The BASIL-C19 living systematic review (12 trials) found short-term reductions in depression (standardised mean difference (SMD)=-0.31, 95% CI -0.51 to -0.11) and loneliness (SMD=-0.48, 95% CI -0.70 to -0.27). There were few long-term trials, but there was evidence of some benefit (loneliness SMD=-0.20, 95% CI -0.40 to -0.01; depression SMD=-0.20, 95% CI -0.47 to 0.07). DISCUSSION We delivered a pilot trial of a behavioural intervention targeting loneliness and depression; achieving long-term follow-up. Living meta-analysis provides strong evidence of short-term benefit for loneliness and depression for cognitive and/or behavioural approaches. A fully powered BASIL trial is underway. CLINICAL IMPLICATIONS Scalable behavioural and cognitive approaches should be considered as population-level strategies for depression and loneliness on the basis of a living systematic review.
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Affiliation(s)
| | - Dean McMillan
- Health Sciences, University of York, York, UK
- Centre for Health and Population Science, Hull York Medical School, Hull, UK
| | | | | | | | | | | | - Peter Coventry
- Health Sciences, University of York, York, UK
- York Environmental Sustainability Institute, University of York, York, UK
| | | | | | | | | | | | - Eloise Ryde
- Health Sciences, University of York, York, UK
- Research and Development Unit, Tees Esk and Wear Valleys NHS Foundation Trust, Darlington, UK
| | | | | | | | - Judith Webster
- Research and Development Unit, Tees Esk and Wear Valleys NHS Foundation Trust, Darlington, UK
| | - Nick Meader
- Faculty of Medical Sciences, University of Newcastle, Newcastle upon Tyne, UK
| | - Rachel Churchill
- Cochrane Common Mental Disorders Group, University of York, York, UK
| | - Elizabeth Eddy
- Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - Paul Heron
- Health Sciences, University of York, York, UK
| | - Nisha Hicklin
- Department of Psychology, Royal Holloway University of London, Egham, UK
| | - Roz Shafran
- PPP, University College London Institute of Child Health, London, UK
- Paediatric Psychology Services, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Osvaldo Almeida
- UWA Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Andrew Clegg
- Faculty of Medicine and Health, University of Leeds, Leeds, UK
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Tom Gentry
- Health and Care Policy, Age UK, London, UK
| | - Andrew Hill
- Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Sarah Dexter-Smith
- Research and Development Unit, Tees Esk and Wear Valleys NHS Foundation Trust, Darlington, UK
| | - David Ekers
- Health Sciences, University of York, York, UK
- Research and Development Unit, Tees Esk and Wear Valleys NHS Foundation Trust, Darlington, UK
| | - Simon Gilbody
- Health Sciences, University of York, York, UK
- Centre for Health and Population Sciences, Hull York Medical School, York, UK
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15
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Alsayednasser B, Widnall E, O'Mahen H, Wright K, Warren F, Ladwa A, Khazanov GK, Byford S, Kuyken W, Watkins E, Ekers D, Reed N, Fletcher E, McMillan D, Farrand P, Richards D, Dunn BD. How well do Cognitive Behavioural Therapy and Behavioural Activation for depression repair anhedonia? A secondary analysis of the COBRA randomized controlled trial. Behav Res Ther 2022; 159:104185. [PMID: 36371903 DOI: 10.1016/j.brat.2022.104185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 08/19/2022] [Accepted: 08/19/2022] [Indexed: 12/14/2022]
Abstract
A secondary analysis of the COBRA randomized controlled trial was conducted to examine how well Cognitive Behavioural Therapy (CBT) and Behavioural Activation (BA) repair anhedonia. Patients with current major depressive disorder (N = 440) were randomized to receive BA or CBT, and anhedonia and depression outcomes were measured after acute treatment (six months) and at two further follow up intervals (12 and 18 months). Anhedonia was assessed using the Snaith Hamilton Pleasure Scale (SHAPS; a measure of consummatory pleasure). Both CBT and BA led to significant improvements in anhedonia during acute treatment, with no significant difference between treatments. Participants remained above healthy population averages of anhedonia at six months, and there was no further significant improvement in anhedonia at 12-month or 18-month follow up. Greater baseline anhedonia severity predicted reduced repair of depression symptoms and fewer depression-free days across the follow-up period in both the BA and CBT arms. The extent of anhedonia repair was less marked than the extent of depression repair across both treatment arms. These findings demonstrate that CBT and BA are similarly and only partially effective in treating anhedonia. Therefore, both therapies should be further refined or novel treatments should be developed in order better to treat anhedonia.
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Affiliation(s)
| | | | | | - Kim Wright
- Mood Disorders Centre, University of Exeter, UK
| | - Fiona Warren
- College of Medicine and Health, University of Exeter, UK
| | - Asha Ladwa
- Mood Disorders Centre, University of Exeter, UK
| | | | - Sarah Byford
- Health Service & Population Research Department, Kings College London, UK
| | | | - Ed Watkins
- Mood Disorders Centre, University of Exeter, UK
| | - David Ekers
- Department of Health Science, University of York, UK; Tees Esk and Wear Valleys NHS Foundation Trust, UK
| | - Nigel Reed
- Mood Disorders Centre, University of Exeter, UK
| | - Emily Fletcher
- College of Medicine and Health, University of Exeter, UK
| | - Dean McMillan
- Department of Health Sciences and Hull York Medical School, University of York, UK
| | | | - David Richards
- College of Medicine and Health, University of Exeter, UK; Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Norway
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16
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Sweetman J, Knapp P, McMillan D, Fairhurst C, Delgadillo J, Hewitt C. Risk factors for initial appointment non-attendance at Improving Access to Psychological Therapy (IAPT) services: A retrospective analysis. Psychother Res 2022; 33:535-550. [DOI: 10.1080/10503307.2022.2140616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - Peter Knapp
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
| | - Dean McMillan
- Hull York Medical School and Department of Health Sciences, University of York, York, UK
| | - Caroline Fairhurst
- Department of Health Sciences, University of York, York, UK
- York Trials Unit, University of York, York, UK
| | - Jaime Delgadillo
- Clinical and Applied Psychology Unit, Department of Psychology, University of Sheffield, Sheffield, UK
- Rotherham Doncaster and South Humber NHS Foundation Trust, Doncaster, UK
| | - Catherine Hewitt
- Department of Health Sciences, University of York, York, UK
- York Trials Unit, University of York, York, UK
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Wright B, Tindall L, Scott AJ, Lee E, Biggs K, Cooper C, Bee P, Wang HI, Gega L, Hayward E, Solaiman K, Teare MD, Davis T, Lovell K, Wilson J, McMillan D, Barr A, Edwards H, Lomas J, Turtle C, Parrott S, Teige C, Chater T, Hargate R, Ali S, Parkinson S, Gilbody S, Marshall D. One-session treatment compared with multisession CBT in children aged 7–16 years with specific phobias: the ASPECT non-inferiority RCT. Health Technol Assess 2022; 26:1-174. [DOI: 10.3310/ibct0609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Background
Up to 10% of children and young people have a specific phobia that can significantly affect their mental health, development and daily functioning. Cognitive–behavioural therapy-based interventions remain the dominant treatment, but limitations to their provision warrant investigation into low-intensity alternatives. One-session treatment is one such alternative that shares cognitive–behavioural therapy principles but has a shorter treatment period.
Objective
This research investigated the non-inferiority of one-session treatment to cognitive–behavioural therapy for treating specific phobias in children and young people. The acceptability and cost-effectiveness of one-session treatment were examined.
Design
A pragmatic, multicentre, non-inferiority randomised controlled trial, with embedded economic and qualitative evaluations.
Settings
There were 26 sites, including 12 NHS trusts.
Participants
Participants were aged 7–16 years and had a specific phobia defined in accordance with established international clinical criteria.
Interventions
Participants were randomised 1 : 1 to receive one-session treatment or usual-care cognitive–behavioural therapy, and were stratified according to age and phobia severity. Outcome assessors remained blind to treatment allocation.
Main outcome measures
The primary outcome measure was the Behavioural Avoidance Task at 6 months’ follow-up. Secondary outcomes included the Anxiety Disorder Interview Schedule, Child Anxiety Impact Scale, Revised Children’s Anxiety and Depression Scale, a goal-based outcome measure, Child Health Utility 9D, EuroQol-5 Dimensions Youth version and resource usage. Treatment fidelity was assessed using the Cognitive Behaviour Therapy Scale for Children and Young People and the One-Session Treatment Rating Scale.
Results
A total of 274 participants were recruited, with 268 participants randomised to one-session treatment (n = 134) or cognitive–behavioural therapy (n = 134). A total of 197 participants contributed some data, with 149 participants in the intention-to-treat analysis and 113 in the per-protocol analysis. Mean Behavioural Avoidance Task scores at 6 months were similar across treatment groups when both intention-to-treat and per-protocol analyses were applied [cognitive–behavioural therapy: 7.1 (intention to treat), 7.4 (per protocol); one-session treatment: 7.4 (intention to treat), 7.6 (per protocol); on the standardised scale adjusted mean difference for cognitive–behavioural therapy compared with one-session treatment –0.123, 95% confidence interval –0.449 to 0.202 (intention to treat), mean difference –0.204, 95% confidence interval –0.579 to 0.171 (per protocol)]. These findings were wholly below the standardised non-inferiority limit of 0.4, which suggests that one-session treatment is non-inferior to cognitive–behavioural therapy. No between-group differences in secondary outcome measures were found. The health economics evaluation suggested that, compared with cognitive–behavioural therapy, one-session treatment marginally decreased the mean service use costs and maintained similar mean quality-adjusted life-year improvement. Nested qualitative evaluation found one-session treatment to be considered acceptable by those who received it, their parents/guardians and clinicians. No adverse events occurred as a result of phobia treatment.
Limitations
The COVID-19 pandemic meant that 48 children and young people could not complete the primary outcome measure. Service waiting times resulted in some participants not starting therapy before follow-up.
Conclusions
One-session treatment for specific phobia in UK-based child mental health treatment centres is as clinically effective as multisession cognitive–behavioural therapy and highly likely to be cost-saving. Future work could involve improving the implementation of one-session treatment through training and commissioning of improved care pathways.
Trial registration
This trial is registered as ISRCTN19883421.
Funding
This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 42. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Barry Wright
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
- Mental Health and Addictions Research Group, Hull York Medical School, University of York, York, UK
| | - Lucy Tindall
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | | | - Ellen Lee
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Katie Biggs
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Cindy Cooper
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Penny Bee
- School of Nursing, Midwifery and Social Care, University of Manchester, Manchester, UK
| | - Han-I Wang
- Centre for Health Economics, University of York, York, UK
| | - Lina Gega
- Mental Health and Addictions Research Group, Hull York Medical School, University of York, York, UK
| | - Emily Hayward
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Kiera Solaiman
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - M Dawn Teare
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Thompson Davis
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA
| | - Karina Lovell
- School of Nursing, Midwifery and Social Care, University of Manchester, Manchester, UK
| | - Jon Wilson
- Central Norfolk Youth Service, Norfolk and Suffolk NHS Foundation Trust, Norwich, UK
| | - Dean McMillan
- Centre for Health Economics, University of York, York, UK
| | - Amy Barr
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Hannah Edwards
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Jennifer Lomas
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Chris Turtle
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Steve Parrott
- Centre for Health Economics, University of York, York, UK
| | - Catarina Teige
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Tim Chater
- Sheffield Clinical Trials Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Rebecca Hargate
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Shehzad Ali
- Mental Health and Addictions Research Group, Hull York Medical School, University of York, York, UK
| | - Sarah Parkinson
- COMIC Research Team, Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Simon Gilbody
- Mental Health and Addictions Research Group, Hull York Medical School, University of York, York, UK
| | - David Marshall
- Centre for Reviews and Dissemination, University of York, York, UK
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Faija CL, Bee P, Lovell K, Lidbetter N, Gellatly J, Ardern K, Rushton K, Brooks H, McMillan D, Armitage CJ, Woodhouse R, Barkham M. Using routine outcome measures as clinical process tools: Maximising the therapeutic yield in the IAPT programme when working remotely. Psychol Psychother 2022; 95:820-837. [PMID: 35570708 PMCID: PMC9540188 DOI: 10.1111/papt.12400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/02/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The objective of the study was to investigate the administration and use of routine outcome monitoring session by session in the context of improving guided-self-help interventions when delivered remotely at Step 2 care in the English Improving Access to Psychological Therapies (IAPT) services. DESIGN Qualitative research using recordings of telephone-treatment sessions. METHOD Participants (11 patients and 11 practitioners) were recruited from four nationally funded IAPT services and one-third sector organisation commissioned to deliver Step 2 IAPT services, in England. Data collection took place prior to the COVID-19 pandemic. Transcripts of telephone-treatment sessions were analysed using thematic analysis. RESULTS Four themes were identified: (1) lack of consistency in the administration of outcome measures (e.g. inconsistent wording); (2) outcome measures administered as a stand-alone inflexible task (e.g. mechanical administration); (3) outcome measures as impersonal numbers (e.g. summarising, categorising and comparing total scores); and (4) missed opportunities to use outcome measures therapeutically (e.g. lack of therapeutic use of item and total scores). CONCLUSIONS The administration of outcome measures needs to ensure validity and reliability. Therapeutic yield from session-by-session outcome measures could be enhanced by focusing on three main areas: (1) adopting a collaborative conversational approach, (2) maximising the use of total and items scores and (3) integrating outcome measures with in-session treatment decisions. Shifting the perception of outcome measures as impersonal numbers to being process clinical tools ensures a personalised delivery of psychological interventions and has the potential to enhance engagement from practitioners and patients what may reduce drop-out rates and improve clinical outcomes.
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Affiliation(s)
- Cintia L. Faija
- School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
| | - Penny Bee
- School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
| | - Karina Lovell
- School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK,Greater Manchester Mental Health NHS Foundation TrustManchesterUK
| | | | - Judith Gellatly
- School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
| | - Kerry Ardern
- Clinical and Applied Psychology Unit, Department of PsychologyUniversity of SheffieldSheffieldUK
| | - Kelly Rushton
- School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
| | - Helen Brooks
- School of Health Sciences, Division of Nursing, Midwifery and Social Work, Manchester Academic Health Science CentreUniversity of ManchesterManchesterUK
| | - Dean McMillan
- Hull York Medical School and Department of Health SciencesUniversity of YorkYorkUK
| | - Christopher J. Armitage
- Manchester University NHS Foundation TrustManchester Academic Health ScienceManchesterUK,Centre NIHR Greater Manchester Patient Safety Translational Research CentreManchesterUK,Manchester Centre for Health PsychologyUniversity of ManchesterManchesterUK
| | - Rebecca Woodhouse
- Hull York Medical School and Department of Health SciencesUniversity of YorkYorkUK
| | - Michael Barkham
- Clinical and Applied Psychology Unit, Department of PsychologyUniversity of SheffieldSheffieldUK
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19
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Wang HI, Wright B, Tindall L, Cooper C, Biggs K, Lee E, Teare MD, Gega L, Scott AJ, Hayward E, Solaiman K, Davis T, McMillan D, Gilbody S, Parrott S. Cost and effectiveness of one session treatment (OST) for children and young people with specific phobias compared to multi-session cognitive behavioural therapy (CBT): results from a randomised controlled trial. BMC Psychiatry 2022; 22:547. [PMID: 35962334 PMCID: PMC9372970 DOI: 10.1186/s12888-022-04192-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 07/29/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In the UK, around 93,000 (0.8%) children and young people (CYP) are experiencing specific phobias that have a substantial impact on daily life. The current gold-standard treatment-multi-session cognitive behavioural therapy (CBT) - is effective at reducing specific phobia severity; however, CBT is time consuming, requires specialist CBT therapists, and is often at great cost and limited availability. A briefer variant of CBT called one session treatment (OST) has been found to offer similar clinical effectiveness for specific phobia as multi-session CBT. The aim of this study was to assess the cost-effectiveness of OST compared to multi-session CBT for CYP with specific phobias through the Alleviating Specific Phobias Experienced by Children Trial (ASPECT), a two-arm, pragmatic, multi-centre, non-inferiority randomised controlled trial. METHODS CYP aged seven to 16 years with specific phobias were recruited nationally via Health and Social Care pathways, remotely randomised to the intervention group (OST) or the control group (CBT-based therapies) and analysed (n = 267). Resource use based on NHS and personal social services perspective and quality adjusted life years (QALYs) measured by EQ-5D-Y were collected at baseline and at six-month follow-up. Incremental cost-effectiveness ratio (ICER) was calculated, and non-parametric bootstrapping was conducted to capture the uncertainty around the ICER estimates. The results were presented on a cost-effectiveness acceptability curve (CEAC). A set of sensitivity analyses (including taking a societal perspective) were conducted to assess the robustness of the primary findings. RESULTS After adjustment and bootstrapping, on average CYP in the OST group incurred less costs (incremental cost was -£302.96 (95% CI -£598.86 to -£28.61)) and maintained similar improvement in QALYs (QALYs gained 0.002 (95% CI - 0.004 to 0.008)). The CEAC shows that the probability of OST being cost-effective was over 95% across all the WTP thresholds. Results of a set of sensitivity analyses were consistent with the primary outcomes. CONCLUSION Compared to CBT, OST produced a reduction in costs and maintained similar improvement in QALYs. Results from both primary and sensitivity analyses suggested that OST was highly likely to be cost saving. TRIAL REGISTRATION ISRCTN19883421 (30/11/2016).
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Affiliation(s)
- Han-I. Wang
- grid.5685.e0000 0004 1936 9668Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, YO10 5DD York UK
| | - Barry Wright
- grid.5685.e0000 0004 1936 9668Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, YO10 5DD York UK ,grid.450937.c0000 0001 1410 7560Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Lucy Tindall
- grid.450937.c0000 0001 1410 7560Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Cindy Cooper
- grid.11835.3e0000 0004 1936 9262University of Sheffield, Sheffield, UK
| | - Katie Biggs
- grid.11835.3e0000 0004 1936 9262University of Sheffield, Sheffield, UK
| | - Ellen Lee
- grid.11835.3e0000 0004 1936 9262University of Sheffield, Sheffield, UK
| | - M. Dawn Teare
- grid.1006.70000 0001 0462 7212Newcastle University, Newcastle upon Tyne, UK
| | - Lina Gega
- grid.5685.e0000 0004 1936 9668Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, YO10 5DD York UK ,grid.413631.20000 0000 9468 0801Hull York Medical School, York, UK
| | | | - Emily Hayward
- grid.450937.c0000 0001 1410 7560Leeds and York Partnership NHS Foundation Trust, Leeds, UK
| | - Kiera Solaiman
- grid.11835.3e0000 0004 1936 9262University of Sheffield, Sheffield, UK
| | - Thompson Davis
- grid.64337.350000 0001 0662 7451Louisiana State University, Baton Rouge, USA ,grid.411015.00000 0001 0727 7545The University of Alabama, Tuscaloosa, USA
| | - Dean McMillan
- grid.5685.e0000 0004 1936 9668Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, YO10 5DD York UK ,grid.413631.20000 0000 9468 0801Hull York Medical School, York, UK
| | - Simon Gilbody
- grid.5685.e0000 0004 1936 9668Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, YO10 5DD York UK ,grid.413631.20000 0000 9468 0801Hull York Medical School, York, UK
| | - Steve Parrott
- grid.5685.e0000 0004 1936 9668Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, YO10 5DD York UK
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Moriarty AS, Meader N, Snell KIE, Riley RD, Paton LW, Dawson S, Hendon J, Chew-Graham CA, Gilbody S, Churchill R, Phillips RS, Ali S, McMillan D. Predicting relapse or recurrence of depression: systematic review of prognostic models. Br J Psychiatry 2022; 221:448-458. [PMID: 35048843 DOI: 10.1192/bjp.2021.218] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Relapse and recurrence of depression are common, contributing to the overall burden of depression globally. Accurate prediction of relapse or recurrence while patients are well would allow the identification of high-risk individuals and may effectively guide the allocation of interventions to prevent relapse and recurrence. AIMS To review prognostic models developed to predict the risk of relapse, recurrence, sustained remission, or recovery in adults with remitted major depressive disorder. METHOD We searched the Cochrane Library (current issue); Ovid MEDLINE (1946 onwards); Ovid Embase (1980 onwards); Ovid PsycINFO (1806 onwards); and Web of Science (1900 onwards) up to May 2021. We included development and external validation studies of multivariable prognostic models. We assessed risk of bias of included studies using the Prediction model risk of bias assessment tool (PROBAST). RESULTS We identified 12 eligible prognostic model studies (11 unique prognostic models): 8 model development-only studies, 3 model development and external validation studies and 1 external validation-only study. Multiple estimates of performance measures were not available and meta-analysis was therefore not necessary. Eleven out of the 12 included studies were assessed as being at high overall risk of bias and none examined clinical utility. CONCLUSIONS Due to high risk of bias of the included studies, poor predictive performance and limited external validation of the models identified, presently available clinical prediction models for relapse and recurrence of depression are not yet sufficiently developed for deploying in clinical settings. There is a need for improved prognosis research in this clinical area and future studies should conform to best practice methodological and reporting guidelines.
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Affiliation(s)
- Andrew S Moriarty
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Hull York Medical School, University of York, UK
| | - Nicholas Meader
- Centre for Reviews and Dissemination, University of York, UK and Cochrane Common Mental Disorders, University of York, UK
| | - Kym I E Snell
- Centre for Prognosis Research, School of Medicine, Keele University, UK
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, UK
| | - Lewis W Paton
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK
| | - Sarah Dawson
- Cochrane Common Mental Disorders, University of York, UK and Bristol Medical School, University of Bristol, UK
| | - Jessica Hendon
- Centre for Reviews and Dissemination, University of York, UK and Cochrane Common Mental Disorders, University of York, UK
| | | | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Hull York Medical School, University of York, UK
| | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, UK and Cochrane Common Mental Disorders, University of York, UK
| | | | - Shehzad Ali
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, UK and Hull York Medical School, University of York, UK
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21
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Corpas J, Gilbody S, McMillan D. Cognitive, behavioural or cognitive-behavioural self-help interventions for subclinical depression in older adults: A systematic review and meta-analysis. J Affect Disord 2022; 308:384-390. [PMID: 35460732 DOI: 10.1016/j.jad.2022.04.085] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/04/2022] [Accepted: 04/13/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Subclinical depression is a risk factor for the development of major depression in older adults. We aimed to determine the effectiveness of pure self-help or self-help with minimal support to reduce depressive symptoms and to prevent the onset of major depression in this population. METHODS This was a systematic review and meta-analysis of trials that used self-administrated cognitive, behavioural or cognitive-behavioural interventions for older adults with subclinical depression compared to control groups. Medline, Embase, PsycInfo and Cochrane databases were searched for relevant studies. RESULTS We analysed eight trials involving 1449 participants. A small but significant effect favouring the intervention was found at short-term [d = 0.33; 95% CI (Confidence Interval): 0.20-0.47] and at long-term (d = 0.22; 95% CI: 0.04-0.40) for depressive symptoms. None of the studies looked at the preventive effect of self-help interventions in reducing the probability of a subsequent diagnosis of major depression. LIMITATIONS The low number of studies meant that it was not possible to test for publication bias. The absence of pre-published protocols for many of the studies meant that there is a possibility of selective reporting bias for some of the primary studies. CONCLUSIONS There is some evidence that cognitive-behavioural self-help interventions may reduce depressive symptoms in older adults with subclinical depression. However, no study examined whether the intervention had a preventative effect in reducing the likelihood of a subsequent diagnosis of major depression.
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Affiliation(s)
- Jorge Corpas
- Department of Psychology, University of Cordoba, Spain; Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Spain.
| | - Simon Gilbody
- Hull York Medical School, United Kingdom; Department of Health Sciences, University of York, United Kingdom
| | - Dean McMillan
- Hull York Medical School, United Kingdom; Department of Health Sciences, University of York, United Kingdom
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22
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Pinar S, Bedford H, Ersser S, McMillan D. Women's experiences of perinatal depression: symptoms, barriers and enablers to disclosure, and effects on daily life and interaction within the family. Midwifery 2022; 112:103389. [DOI: 10.1016/j.midw.2022.103389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 05/27/2022] [Accepted: 05/29/2022] [Indexed: 10/18/2022]
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Burke L, Littlewood E, Gascoyne S, McMillan D, Chew-Graham CA, Bailey D, Sloan C, Fairhurst C, Baird K, Hewitt C, Henry A, Ryde E, Shearsmith L, Coventry P, Crosland S, Newbronner E, Traviss-Turner G, Woodhouse R, Clegg A, Gentry T, Hill A, Lovell K, Dexter Smith S, Webster J, Ekers D, Gilbody S. Behavioural Activation for Social IsoLation (BASIL+) trial (Behavioural activation to mitigate depression and loneliness among older people with long-term conditions): Protocol for a fully-powered pragmatic randomised controlled trial. PLoS One 2022; 17:e0263856. [PMID: 35324908 PMCID: PMC8947398 DOI: 10.1371/journal.pone.0263856] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/07/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Depression is a leading mental health problem worldwide. People with long-term conditions are at increased risk of experiencing depression. The COVID-19 pandemic led to strict social restrictions being imposed across the UK population. Social isolation can have negative consequences on the physical and mental wellbeing of older adults. In the Behavioural Activation in Social IsoLation (BASIL+) trial we will test whether a brief psychological intervention (based on Behavioural Activation), delivered remotely, can mitigate depression and loneliness in older adults with long-term conditions during isolation. Methods We will conduct a two-arm, parallel-group, randomised controlled trial across several research sites, to evaluate the clinical and cost-effectiveness of the BASIL+ intervention. Participants will be recruited via participating general practices across England and Wales. Participants must be aged ≥65 with two or more long-term conditions, or a condition that may indicate they are within a ‘clinically extremely vulnerable’ group in relation to COVID-19, and have scored ≥5 on the Patient Health Questionnaire (PHQ9), to be eligible for inclusion. Randomisation will be 1:1, stratified by research site. Intervention participants will receive up to eight intervention sessions delivered remotely by trained BASIL+ Support Workers and supported by a self-help booklet. Control participants will receive usual care, with additional signposting to reputable sources of self-help and information, including advice on keeping mentally and physically well. A qualitative process evaluation will also be undertaken to explore the acceptability of the BASIL+ intervention, as well as barriers and enablers to integrating the intervention into participants’ existing health and care support, and the impact of the intervention on participants’ mood and general wellbeing in the context of the COVID-19 restrictions. Semi-structured interviews will be conducted with intervention participants, participant’s caregivers/supportive others and BASIL+ Support Workers. Outcome data will be collected at one, three, and 12 months post-randomisation. Clinical and cost-effectiveness will be evaluated. The primary outcome is depressive symptoms at the three-month follow up, measured by the PHQ9. Secondary outcomes include loneliness, social isolation, anxiety, quality of life, and a bespoke health services use questionnaire. Discussion This study is the first large-scale trial evaluating a brief Behavioural Activation intervention in this population, and builds upon the results of a successful external pilot trial. Trial registration ClinicalTrials.Gov identifier ISRCTN63034289, registered on 5th February 2021.
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Affiliation(s)
- Lauren Burke
- Department of Health Sciences, University of York, York, United Kingdom
| | | | - Samantha Gascoyne
- Department of Health Sciences, University of York, York, United Kingdom
| | - Dean McMillan
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, University of York, York, United Kingdom
| | | | - Della Bailey
- Department of Health Sciences, University of York, York, United Kingdom
| | - Claire Sloan
- Department of Health Sciences, University of York, York, United Kingdom
| | | | - Kalpita Baird
- Department of Health Sciences, University of York, York, United Kingdom
| | - Catherine Hewitt
- Department of Health Sciences, University of York, York, United Kingdom
| | - Andrew Henry
- Department of Health Sciences, University of York, York, United Kingdom
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | - Eloise Ryde
- Department of Health Sciences, University of York, York, United Kingdom
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | - Leanne Shearsmith
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Peter Coventry
- Department of Health Sciences, University of York, York, United Kingdom
| | - Suzanne Crosland
- Department of Health Sciences, University of York, York, United Kingdom
| | | | | | - Rebecca Woodhouse
- Department of Health Sciences, University of York, York, United Kingdom
| | - Andrew Clegg
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Tom Gentry
- Age UK, Tavis House, 1–6 Tavistock Square, London United Kingdom
| | - Andrew Hill
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom
| | - Sarah Dexter Smith
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | | | - David Ekers
- Department of Health Sciences, University of York, York, United Kingdom
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, University of York, York, United Kingdom
- * E-mail:
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Littlewood E, Chew-Graham CA, Coleman E, Gascoyne S, Sloan C, Ali S, Badenhorst J, Bailey D, Crosland S, Kitchen CEW, McMillan D, Pearson C, Todd A, Whittlesea C, Bambra C, Hewitt C, Jones C, Keding A, Newbronner E, Paterson A, Rhodes S, Ryde E, Toner P, Watson M, Gilbody S, Ekers D. A psychological intervention by community pharmacies to prevent depression in adults with subthreshold depression and long-term conditions: the CHEMIST pilot RCT. Public Health Res 2022. [DOI: 10.3310/ekze0617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background
Depression is common in people with long-term health conditions, and this combination can lead to worsened health outcomes and increased health-care costs. Subthreshold depression, a risk factor for major depression, is prevalent in this population, but many people remain untreated due to the demand on services. The community pharmacy may be an alternative setting to offer mental health support; however, insufficient evidence exists to support implementation.
Objectives
To conduct a feasibility study and pilot randomised controlled trial of a community pharmacy-delivered psychological intervention aimed at preventing depression in adults with long-term health conditions.
Design
A feasibility study with nested qualitative evaluation and an external pilot, two-arm, 1 : 1 individually randomised controlled trial with nested process and economic evaluations.
Setting
Community pharmacies in the north of England.
Participants
Adults aged ≥ 18 years with subthreshold depression and at least one long-term health condition.
Intervention
A bespoke enhanced support intervention (behavioural activation within a collaborative care framework) involving up to six sessions delivered by trained community pharmacy staff (intervention facilitators) compared with usual care.
Main outcome measures
Recruitment and retention rates, completeness of outcome measures and intervention engagement. The intended primary outcome was depression severity at 4 months, assessed by the Patient Health Questionnaire-9.
Results
In the feasibility study, 24 participants were recruited. Outcome measure completeness was 95–100%. Retention at 4 months was 83%. Seventeen participants (71%) commenced intervention sessions and all completed two or more sessions. Depression symptoms reduced slightly at 4 months. The process evaluation suggested that the intervention was acceptable to participants and intervention facilitators. In the pilot randomised controlled trial, 44 participants (target of 100 participants) were randomised (intervention, n = 24; usual care, n = 20). Outcome measure completeness was 100%. Retention at 4 months was 93%. Eighteen participants (75%) commenced intervention sessions and 16 completed two or more sessions. Depression symptoms reduced slightly at 4 months, with a slightly larger reduction in the usual-care arm, although the small sample size limits any conclusions. The process evaluation reported good acceptability of the intervention and identified barriers associated with study implementation and its impact on core pharmacy functions. The economic analysis revealed some indication of reduced resource use/costs associated with the intervention, but this is limited by the small sample size. Intervention costs were low.
Limitations
The main limitation is the small sample size due to difficulties with recruitment and barriers to implementing the study within existing pharmacy practices.
Conclusions
The community pharmacy represents a new setting to deliver a depression prevention intervention. Recruitment was a challenge and pharmacy staff encountered barriers to effective implementation of the study within busy pharmacy practice. Despite these challenges, good retention rates and intervention engagement were demonstrated, and process evaluation suggested that the intervention was acceptable in this setting. To the best of our knowledge, this is the first study to demonstrate that community pharmacy staff can be trained to deliver a depression prevention intervention.
Future work
Further work is needed to address barriers to recruitment, intervention delivery and implementation of psychological interventions in the community pharmacy setting.
Trial registration
This trial is registered as ISRCTN11290592.
Funding
This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 10, No. 5. See the NIHR Journals Library website for further project information.
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Affiliation(s)
| | | | | | | | - Claire Sloan
- Department of Health Sciences, University of York, York, UK
| | - Shehzad Ali
- Department of Health Sciences, University of York, York, UK
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Jay Badenhorst
- Whitworth Chemists Ltd, Foxhills Industrial Estate, Scunthorpe, UK
| | - Della Bailey
- Department of Health Sciences, University of York, York, UK
| | | | | | - Dean McMillan
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
| | | | - Adam Todd
- Institute of Population Health Sciences, Newcastle University, Newcastle upon Tyne, UK
- School of Pharmacy, Newcastle upon Tyne, UK
| | - Cate Whittlesea
- University College London School of Pharmacy, University College London, London, UK
| | - Clare Bambra
- Institute of Population Health Sciences, Newcastle University, Newcastle upon Tyne, UK
| | | | - Claire Jones
- Public Health Team, Adult & Health Services, Durham County Council, Durham, UK
| | - Ada Keding
- Department of Health Sciences, University of York, York, UK
| | | | - Alastair Paterson
- Pharmacy Department, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Shelley Rhodes
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Eloise Ryde
- Department of Health Sciences, University of York, York, UK
- Research and Development, Tees, Esk and Wear Valleys NHS Foundation Trust, Middlesbrough, UK
| | - Paul Toner
- Department of Health Sciences, University of York, York, UK
- Centre for Improving Health-Related Quality of Life, School of Psychology, Queen’s University Belfast, Belfast, UK
| | | | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
| | - David Ekers
- Department of Health Sciences, University of York, York, UK
- Research and Development, Tees, Esk and Wear Valleys NHS Foundation Trust, Middlesbrough, UK
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Chew-Graham CA, Kitchen CEW, Gascoyne S, Littlewood E, Coleman E, Bailey D, Crosland S, Pearson C, Ali S, Badenhorst J, Bambra C, Hewitt C, Jones C, Keding A, McMillan D, Sloan C, Todd A, Toner P, Whittlesea C, Watson M, Gilbody S, Ekers D. The feasibility and acceptability of a brief psychological intervention for adults with long-term health conditions and subthreshold depression delivered via community pharmacies: a mixed methods evaluation-the Community Pharmacies Mood Intervention Study (CHEMIST). Pilot Feasibility Stud 2022; 8:27. [PMID: 35115052 PMCID: PMC8812235 DOI: 10.1186/s40814-022-00992-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 01/25/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Adults with long-term health conditions (LTCs) are more likely to experience depressive symptoms which can worsen health outcomes and quality of life, and increase healthcare costs. Subthreshold depression may go undetected and/or untreated. The Community Pharmacies Mood Intervention Study (CHEMIST) explored whether community pharmacies represent a suitable setting to offer brief psychological support to people with LTCs and comorbid subthreshold depression. METHODS A feasibility intervention study with a nested mixed methods evaluation was employed. Adults with subthreshold depression and a minimum of one LTC were recruited from community pharmacies/local general practices and offered a brief psychological support intervention ('Enhanced Support Intervention' (ESI)), based on behavioural activation within a Collaborative Care framework. The intervention included up to six sessions supported by pharmacy staff ('ESI facilitators') trained to deliver the ESI within the community pharmacy setting. Recruitment, retention rates and engagement with the ESI were assessed. Semi-structured, one-to-one interviews with pharmacy staff and study participants, and a focus group with pharmacy staff, explored experiences and acceptability of the study and the ESI. Themes were mapped onto constructs of the Theoretical Framework of Acceptability. RESULTS Recruitment of ESI participants was challenging and slower than anticipated despite the varied methods of recruitment employed; although, this was useful in identifying barriers and enabling factors for participation. Engagament with the ESI was good with n=17 (71%) recruited participants commencing the ESI. The ESI was found to be acceptable to participants and ESI facilitators. Retention rate at 4 months was good n=20 (87.0%). The main barriers to identifying potential participants for pharmacy staff were lack of time, resources and limited experience in research. The ESI training and support manual were acceptable to ESI facilitators. The ESI and supporting patient workbook were acceptable to people with LTCs and subthreshold depression. CONCLUSIONS Community pharmacies were viewed as an acceptable setting in which to deliver preventative brief psychological support to people with LTCs at risk of depression. This feasibility study provided important data to inform the design of a pilot randomised controlled trial in this setting and highlighted important considerations for future pharmacy-based research. TRIAL REGISTRATION ISRCTN11290592.
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Affiliation(s)
| | | | | | | | | | - Della Bailey
- Department of Health Sciences, University of York, York, UK
| | | | | | - Shehzad Ali
- Department of Health Sciences, University of York, York, UK.,Department of Epidemiology and Biostatistics, Western University, Ontario, Canada
| | - Jay Badenhorst
- Whitworth Chemists Ltd, Foxhills Industrial Estate, Scunthorpe, UK
| | - Clare Bambra
- Institute of Population Health Sciences, Newcastle University, Newcastle-upon-Tyne, UK
| | | | - Claire Jones
- Public Health Team, Adult & Health Services, Durham County Council, Durham, UK
| | - Ada Keding
- Department of Health Sciences, University of York, York, UK
| | - Dean McMillan
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | - Claire Sloan
- Department of Health Sciences, University of York, York, UK
| | - Adam Todd
- Institute of Population Health Sciences, Newcastle University, Newcastle-upon-Tyne, UK.,School of Pharmacy, Newcastle upon Tyne, UK
| | - Paul Toner
- Department of Health Sciences, University of York, York, UK.,Centre for Improving Health-Related Quality of Life, School of Psychology, Queen's University Belfast, Belfast, UK
| | - Cate Whittlesea
- UCL School of Pharmacy, University College London, London, UK
| | | | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | - David Ekers
- Department of Health Sciences, University of York, York, UK.,Research and Development, Tees, Esk and Wear Valleys NHS Foundation Trust, Middlesbrough, UK
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26
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Gilbody S, Brabyn S, Mitchell A, Ekers D, McMillan D, Bailey D, Hems D, Chew Graham CA, Keding A, Bosanquet K. Can We Prevent Depression in At-Risk Older Adults Using Self-Help? The UK SHARD Trial of Behavioral Activation. Am J Geriatr Psychiatry 2022; 30:197-207. [PMID: 34266750 DOI: 10.1016/j.jagp.2021.06.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/12/2021] [Accepted: 06/14/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Treatment of established depression is the dominant approach to care of older adults, but prevention holds much promise. Self-help interventions are a feasible preventive approach, since they are scalable and low cost. There are few trials in this area. Behavioral Activation (BA) is a credible candidate psychological approach, which has been shown to work in therapist led care but not been trialled in a self-help form. AIM To test the effectiveness of an unguided self-help intervention based on BA for older adults. METHODS We compared a self-help intervention based on BA for older people (n = 172) to usual care (n = 160) in a pragmatic randomized controlled trial. Outcomes were depression status and severity (PHQ9) and health related quality of life (SF12). The primary timepoint of the primary outcome was depression at 4 months, with longer term follow up at 12 months to test sustained impact of the primary outcome. RESULTS At 4 months adjusted PHQ-9 scores for BA self-help were 0.79 lower (95% CI: -1.70 to 0.13; p = 0.09) and the proportion of participants with case-level depression was significantly reduced (BA 31/137 (22.6%) versus usual care 41/141 (29.1%); Odds Ratio 0.48; 95% CI: 0.26-0.92; p = 0.03). There was no PHQ-9 difference at 12 months or for health related quality of life at any point (4 or 12 months). DISCUSSION Self-help using BA for older people at risk of depression is a feasible and scalable intervention with potential short-term benefits in preventing depression.
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Affiliation(s)
- Simon Gilbody
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK; Hull York Medical School (SG, DM), UK.
| | - Sally Brabyn
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK
| | - Alex Mitchell
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK; York Trials Unit (AM, AD), University of York, UK
| | - David Ekers
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK; Tees Esk and Wear Valleys NHS Foundation Trust (DE), North Yorkshire, UK
| | - Dean McMillan
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK; Hull York Medical School (SG, DM), UK
| | - Della Bailey
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK
| | - Deborah Hems
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK
| | | | - Ada Keding
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK; York Trials Unit (AM, AD), University of York, UK
| | - Kate Bosanquet
- Department of Health Sciences (SG, SB, AM, DE, DM, DB, DH, AK, KB), University of York, UK
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27
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O'Mahen HA, Hayes A, Harries C, Ladwa A, Mostazir M, Ekers D, McMillan D, Richards D, Wright K. A comparison of the effects of sudden gains and depression spikes on short- and long-term depressive symptoms in a randomized controlled trial of behavioral activation and cognitive behavioural therapy. J Consult Clin Psychol 2022; 89:957-969. [PMID: 35025537 DOI: 10.1037/ccp0000577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The aim of this study was to examine the effects of sudden gains and depression spikes in a randomized controlled trial of cognitive behavioral therapy (CBT) and behavioral activation (BA) for depression (COBRA trial). METHOD This is a secondary analysis of 300 adults with major depressive disorder (MDD) who received CBT (n = 156) or BA (n = 144) (Richards et al., 2016). The Patient Health Questionnaire (PHQ-9) and Structured Clinical Interview Schedule (SCID) were used to measure depression symptoms at 6-, 12-, and 18-month follow-up. RESULTS One-hundred and ten (37%) individuals experienced sudden gains, and 77 (26%) experienced depression spikes. There were no differences in rates of gains or spikes between treatments. Individuals with sudden gains had lower PHQ-9 scores across follow-up and were less likely to meet SCID criteria than those without a sudden gain. Generalized estimating equation (GEE) models demonstrated that individuals who had a sudden gain and were in CBT had lower PHQ-9 scores at 6 and 18 months than those in BA. Conversely, individuals who had a depression spike and were in CBT had higher PHQ-9 scores across follow-up compared to those without a depression spike and also a greater chance of meeting SCID criteria for MDD at 18 months than those who received BA. CONCLUSIONS The short- and long-term impact of discontinuous change varied by type of treatment package. Identifying strategies within treatment packages and client processes that are associated with gains and spikes may help to inform treatment planning and clinical decision-making. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | - Adele Hayes
- Department of Psychology, University of Delaware
| | | | - Asha Ladwa
- Mood Disorders Centre, University of Exeter
| | | | | | - Dean McMillan
- Centre for Health and Population Sciences, Department of Health Sciences, Hull York Medical School
| | - David Richards
- Complex Interventions Group, University of Exeter Medical School
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28
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Moriarty AS, Robertson L, Mughal F, Cook N, Gilbody S, McMillan D, Chew-Graham CA, Ali S, Hetrick SE, Churchill R, Meader N. Interventions for preventing relapse or recurrence of major depressive disorder in adults in a primary care setting: a network meta-analysis. Hippokratia 2021. [DOI: 10.1002/14651858.cd014832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Andrew S Moriarty
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
- Hull York Medical School; University of York; York UK
| | - Lindsay Robertson
- Cochrane Common Mental Disorders; University of York; York UK
- Centre for Reviews and Dissemination; University of York; York UK
| | - Faraz Mughal
- School of Medicine; Keele University; Keele UK
- Unit of Academic Primary Care; Warwick Medical School, University of Warwick; Coventry UK
| | - Natalie Cook
- Tees, Esk and Wear Valleys NHS Foundation Trust; York UK
| | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
- Hull York Medical School; University of York; York UK
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | | | - Shehzad Ali
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | - Sarah E Hetrick
- Department of Psychological Medicine, Faculty of Medical and Health Sciences; The University of Auckland; Auckland New Zealand
- Children and Young People Satellite, Cochrane Common Mental Disorders; The University of Auckland; Auckland New Zealand
| | - Rachel Churchill
- Cochrane Common Mental Disorders; University of York; York UK
- Centre for Reviews and Dissemination; University of York; York UK
| | - Nicholas Meader
- Cochrane Common Mental Disorders; University of York; York UK
- Centre for Reviews and Dissemination; University of York; York UK
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Gilbody S, Littlewood E, McMillan D, Chew-Graham CA, Bailey D, Gascoyne S, Sloan C, Burke L, Coventry P, Crosland S, Fairhurst C, Henry A, Hewitt C, Joshi K, Ryde E, Shearsmith L, Traviss-Turner G, Woodhouse R, Clegg A, Gentry T, Hill AJ, Lovell K, Dexter Smith S, Webster J, Ekers D. Behavioural activation to prevent depression and loneliness among socially isolated older people with long-term conditions: The BASIL COVID-19 pilot randomised controlled trial. PLoS Med 2021; 18:e1003779. [PMID: 34637450 PMCID: PMC8509874 DOI: 10.1371/journal.pmed.1003779] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/20/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Older adults, including those with long-term conditions (LTCs), are vulnerable to social isolation. They are likely to have become more socially isolated during the Coronavirus Disease 2019 (COVID-19) pandemic, often due to advice to "shield" to protect them from infection. This places them at particular risk of depression and loneliness. There is a need for brief scalable psychosocial interventions to mitigate the psychological impacts of social isolation. Behavioural activation (BA) is a credible candidate intervention, but a trial is needed. METHODS AND FINDINGS We undertook an external pilot parallel randomised trial (ISRCTN94091479) designed to test recruitment, retention and engagement with, and the acceptability and preliminary effects of the intervention. Participants aged ≥65 years with 2 or more LTCs were recruited in primary care and randomised by computer and with concealed allocation between June and October 2020. BA was offered to intervention participants (n = 47), and control participants received usual primary care (n = 49). Assessment of outcome was made blind to treatment allocation. The primary outcome was depression severity (measured using the Patient Health Questionnaire 9 (PHQ-9)). We also measured health-related quality of life (measured by the Short Form (SF)-12v2 mental component scale (MCS) and physical component scale (PCS)), anxiety (measured by the Generalised Anxiety Disorder 7 (GAD-7)), perceived social and emotional loneliness (measured by the De Jong Gierveld Scale: 11-item loneliness scale). Outcome was measured at 1 and 3 months. The mean age of participants was aged 74 years (standard deviation (SD) 5.5) and they were mostly White (n = 92, 95.8%), and approximately two-thirds of the sample were female (n = 59, 61.5%). Remote recruitment was possible, and 45/47 (95.7%) randomised to the intervention completed 1 or more sessions (median 6 sessions) out of 8. A total of 90 (93.8%) completed the 1-month follow-up, and 86 (89.6%) completed the 3-month follow-up, with similar rates for control (1 month: 45/49 and 3 months 44/49) and intervention (1 month: 45/47and 3 months: 42/47) follow-up. Between-group comparisons were made using a confidence interval (CI) approach, and by adjusting for the covariate of interest at baseline. At 1 month (the primary clinical outcome point), the median number of completed sessions for people receiving the BA intervention was 3, and almost all participants were still receiving the BA intervention. The between-group comparison for the primary clinical outcome at 1 month was an adjusted between-group mean difference of -0.50 PHQ-9 points (95% CI -2.01 to 1.01), but only a small number of participants had completed the intervention at this point. At 3 months, the PHQ-9 adjusted mean difference (AMD) was 0.19 (95% CI -1.36 to 1.75). When we examined loneliness, the adjusted between-group difference in the De Jong Gierveld Loneliness Scale at 1 month was 0.28 (95% CI -0.51 to 1.06) and at 3 months -0.87 (95% CI -1.56 to -0.18), suggesting evidence of benefit of the intervention at this time point. For anxiety, the GAD adjusted between-group difference at 1 month was 0.20 (-1.33, 1.73) and at 3 months 0.31 (-1.08, 1.70). For the SF-12 (physical component score), the adjusted between-group difference at 1 month was 0.34 (-4.17, 4.85) and at 3 months 0.11 (-4.46, 4.67). For the SF-12 (mental component score), the adjusted between-group difference at 1 month was 1.91 (-2.64, 5.15) and at 3 months 1.26 (-2.64, 5.15). Participants who withdrew had minimal depressive symptoms at entry. There were no adverse events. The Behavioural Activation in Social Isolation (BASIL) study had 2 main limitations. First, we found that the intervention was still being delivered at the prespecified primary outcome point, and this fed into the design of the main trial where a primary outcome of 3 months is now collected. Second, this was a pilot trial and was not designed to test between-group differences with high levels of statistical power. Type 2 errors are likely to have occurred, and a larger trial is now underway to test for robust effects and replicate signals of effectiveness in important secondary outcomes such as loneliness. CONCLUSIONS In this study, we observed that BA is a credible intervention to mitigate the psychological impacts of COVID-19 isolation for older adults. We demonstrated that it is feasible to undertake a trial of BA. The intervention can be delivered remotely and at scale, but should be reserved for older adults with evidence of depressive symptoms. The significant reduction in loneliness is unlikely to be a chance finding, and replication will be explored in a fully powered randomised controlled trial (RCT). TRIAL REGISTRATION ISRCTN94091479.
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Affiliation(s)
- Simon Gilbody
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, University of York, York, United Kingdom
| | | | - Dean McMillan
- Department of Health Sciences, University of York, York, United Kingdom
- Hull York Medical School, University of York, York, United Kingdom
| | | | - Della Bailey
- Department of Health Sciences, University of York, York, United Kingdom
| | - Samantha Gascoyne
- Department of Health Sciences, University of York, York, United Kingdom
| | - Claire Sloan
- Department of Health Sciences, University of York, York, United Kingdom
| | - Lauren Burke
- Department of Health Sciences, University of York, York, United Kingdom
| | - Peter Coventry
- Department of Health Sciences, University of York, York, United Kingdom
| | - Suzanne Crosland
- Department of Health Sciences, University of York, York, United Kingdom
| | | | - Andrew Henry
- Department of Health Sciences, University of York, York, United Kingdom
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | - Catherine Hewitt
- Department of Health Sciences, University of York, York, United Kingdom
| | - Kalpita Joshi
- Department of Health Sciences, University of York, York, United Kingdom
| | - Eloise Ryde
- Department of Health Sciences, University of York, York, United Kingdom
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | - Leanne Shearsmith
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | | | - Rebecca Woodhouse
- Department of Health Sciences, University of York, York, United Kingdom
| | - Andrew Clegg
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | | | - Andrew J. Hill
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom
| | - Sarah Dexter Smith
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
| | | | - David Ekers
- Department of Health Sciences, University of York, York, United Kingdom
- Tees, Esk and Wear Valleys NHS FT, Research & Development, Flatts Lane Centre, Middlesbrough, United Kingdom
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Gilbody S, Littlewood E, Gascoyne S, McMillan D, Ekers D, Chew-Graham CA, Creswell C, Wright J. Mitigating the impacts of COVID-19: where are the mental health trials? Lancet Psychiatry 2021; 8:647-650. [PMID: 34087112 PMCID: PMC8169044 DOI: 10.1016/s2215-0366(21)00204-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 01/19/2023]
Affiliation(s)
| | | | | | - Dean McMillan
- University of York, York YO10 5DD, UK; Hull York Medical School, York, UK
| | - David Ekers
- University of York, York YO10 5DD, UK; Research and Development, Tees, Esk and Wear Valleys NHS Foundation Trust, Middlesbrough, UK
| | | | | | - John Wright
- Yorkshire and Humberside Applied Research Collaboration, Bradford Institute for Health Research, Bradford, UK
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Moriarty AS, Paton LW, Snell KIE, Riley RD, Buckman JEJ, Gilbody S, Chew-Graham CA, Ali S, Pilling S, Meader N, Phillips B, Coventry PA, Delgadillo J, Richards DA, Salisbury C, McMillan D. The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study. Diagn Progn Res 2021; 5:12. [PMID: 34215317 PMCID: PMC8254312 DOI: 10.1186/s41512-021-00101-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/19/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Most patients who present with depression are treated in primary care by general practitioners (GPs). Relapse of depression is common (at least 50% of patients treated for depression will relapse after a single episode) and leads to considerable morbidity and decreased quality of life for patients. The majority of patients will relapse within 6 months, and those with a history of relapse are more likely to relapse in the future than those with no such history. GPs see a largely undifferentiated case-mix of patients, and once patients with depression reach remission, there is limited guidance to help GPs stratify patients according to risk of relapse. We aim to develop a prognostic model to predict an individual's risk of relapse within 6-8 months of entering remission. The long-term objective is to inform the clinical management of depression after the acute phase. METHODS We will develop a prognostic model using secondary analysis of individual participant data drawn from seven RCTs and one longitudinal cohort study in primary or community care settings. We will use logistic regression to predict the outcome of relapse of depression within 6-8 months. We plan to include the following established relapse predictors in the model: residual depressive symptoms, number of previous depressive episodes, co-morbid anxiety and severity of index episode. We will use a "full model" development approach, including all available predictors. Performance statistics (optimism-adjusted C-statistic, calibration-in-the-large, calibration slope) and calibration plots (with smoothed calibration curves) will be calculated. Generalisability of predictive performance will be assessed through internal-external cross-validation. Clinical utility will be explored through net benefit analysis. DISCUSSION We will derive a statistical model to predict relapse of depression in remitted depressed patients in primary care. Assuming the model has sufficient predictive performance, we outline the next steps including independent external validation and further assessment of clinical utility and impact. STUDY REGISTRATION ClinicalTrials.gov ID: NCT04666662.
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Affiliation(s)
- Andrew S Moriarty
- Department of Health Sciences, University of York, York, England.
- Hull York Medical School, University of York, York, England.
| | - Lewis W Paton
- Department of Health Sciences, University of York, York, England
| | - Kym I E Snell
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, England
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, England
| | - Joshua E J Buckman
- Centre for Outcomes and Research Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, England
- iCope - Camden and Islington Psychological Therapies Services, Camden & Islington NHS Foundation Trust, London, England
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, England
- Hull York Medical School, University of York, York, England
| | | | - Shehzad Ali
- Department of Health Sciences, University of York, York, England
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
| | - Stephen Pilling
- Centre for Outcomes and Research Effectiveness, Research Department of Clinical, Educational and Health Psychology, University College London, London, England
- Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, England
| | - Nick Meader
- Centre for Reviews and Dissemination, University of York, York, England
| | - Bob Phillips
- Centre for Reviews and Dissemination, University of York, York, England
| | - Peter A Coventry
- Department of Health Sciences, University of York, York, England
| | - Jaime Delgadillo
- Department of Psychology, University of Sheffield, Sheffield, England
| | - David A Richards
- Institute of Health Research, College of Medicine and Health, University of Exeter, Exeter, England
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway, USA
| | - Chris Salisbury
- Centre for Academic Primary Care, University of Bristol, Bristol, England
| | - Dean McMillan
- Department of Health Sciences, University of York, York, England
- Hull York Medical School, University of York, York, England
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Moriarty AS, Meader N, Snell KI, Riley RD, Paton LW, Chew-Graham CA, Gilbody S, Churchill R, Phillips RS, Ali S, McMillan D. Prognostic models for predicting relapse or recurrence of major depressive disorder in adults. Cochrane Database Syst Rev 2021; 5:CD013491. [PMID: 33956992 PMCID: PMC8102018 DOI: 10.1002/14651858.cd013491.pub2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Relapse (the re-emergence of depressive symptoms after some level of improvement but preceding recovery) and recurrence (onset of a new depressive episode after recovery) are common in depression, lead to worse outcomes and quality of life for patients and exert a high economic cost on society. Outcomes can be predicted by using multivariable prognostic models, which use information about several predictors to produce an individualised risk estimate. The ability to accurately predict relapse or recurrence while patients are well (in remission) would allow the identification of high-risk individuals and may improve overall treatment outcomes for patients by enabling more efficient allocation of interventions to prevent relapse and recurrence. OBJECTIVES To summarise the predictive performance of prognostic models developed to predict the risk of relapse, recurrence, sustained remission or recovery in adults with major depressive disorder who meet criteria for remission or recovery. SEARCH METHODS We searched the Cochrane Library (current issue); Ovid MEDLINE (1946 onwards); Ovid Embase (1980 onwards); Ovid PsycINFO (1806 onwards); and Web of Science (1900 onwards) up to May 2020. We also searched sources of grey literature, screened the reference lists of included studies and performed a forward citation search. There were no restrictions applied to the searches by date, language or publication status . SELECTION CRITERIA We included development and external validation (testing model performance in data separate from the development data) studies of any multivariable prognostic models (including two or more predictors) to predict relapse, recurrence, sustained remission, or recovery in adults (aged 18 years and over) with remitted depression, in any clinical setting. We included all study designs and accepted all definitions of relapse, recurrence and other related outcomes. We did not specify a comparator prognostic model. DATA COLLECTION AND ANALYSIS Two review authors independently screened references; extracted data (using a template based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS)); and assessed risks of bias of included studies (using the Prediction model Risk Of Bias ASsessment Tool (PROBAST)). We referred any disagreements to a third independent review author. Where we found sufficient (10 or more) external validation studies of an individual model, we planned to perform a meta-analysis of its predictive performance, specifically with respect to its calibration (how well the predicted probabilities match the observed proportions of individuals that experience the outcome) and discrimination (the ability of the model to differentiate between those with and without the outcome). Recommendations could not be qualified using the GRADE system, as guidance is not yet available for prognostic model reviews. MAIN RESULTS We identified 11 eligible prognostic model studies (10 unique prognostic models). Seven were model development studies; three were model development and external validation studies; and one was an external validation-only study. Multiple estimates of performance measures were not available for any of the models and, meta-analysis was therefore not possible. Ten out of the 11 included studies were assessed as being at high overall risk of bias. Common weaknesses included insufficient sample size, inappropriate handling of missing data and lack of information about discrimination and calibration. One paper (Klein 2018) was at low overall risk of bias and presented a prognostic model including the following predictors: number of previous depressive episodes, residual depressive symptoms and severity of the last depressive episode. The external predictive performance of this model was poor (C-statistic 0.59; calibration slope 0.56; confidence intervals not reported). None of the identified studies examined the clinical utility (net benefit) of the developed model. AUTHORS' CONCLUSIONS Of the 10 prognostic models identified (across 11 studies), only four underwent external validation. Most of the studies (n = 10) were assessed as being at high overall risk of bias, and the one study that was at low risk of bias presented a model with poor predictive performance. There is a need for improved prognostic research in this clinical area, with future studies conforming to current best practice recommendations for prognostic model development/validation and reporting findings in line with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement.
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Affiliation(s)
- Andrew S Moriarty
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
| | - Nicholas Meader
- Centre for Reviews and Dissemination, University of York, York, UK
- Cochrane Common Mental Disorders, University of York, York, UK
| | - Kym Ie Snell
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Lewis W Paton
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
| | | | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
| | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, York, UK
- Cochrane Common Mental Disorders, University of York, York, UK
| | | | - Shehzad Ali
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Canada
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, UK
- Hull York Medical School, University of York, York, UK
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Boulton E, Kneale D, Stansfield C, Heron P, Sutcliffe K, Hayanga B, Hall A, Bower P, Casey D, Craig D, Gilbody S, Hanratty B, McMillan D, Thomas J, Todd C. Rapid systematic review of systematic reviews: what befriending, social support and low intensity psychosocial interventions, delivered remotely, may reduce social isolation and loneliness among older adults and how? F1000Res 2021. [DOI: 10.12688/f1000research.27076.2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background: During the COVID-19 pandemic ‘social distancing’ has highlighted the need to minimise loneliness and isolation among older adults (aged 50+). We wanted to know what remotely delivered befriending, social support and low intensity psychosocial interventions may help to alleviate social isolation and loneliness and how they work. Methods: We followed a systematic ‘review of reviews’ approach. Searches of 11 databases from the fields of health, social care, psychology and social science were undertaken during April 2020. Reviews meeting our PICOS criteria were included if they focussed on the evaluation of remote interventions to reduce levels of social isolation or loneliness in adults aged 50+ and were critically appraised using AMSTAR2. Narrative synthesis was used at a review and study level to develop a typology of intervention types and their effectiveness. Intervention Component Analysis (ICA) and Qualitative Comparative Analysis (QCA) were used at a study level to explore the characteristics of successful interventions. Results: We synthesised evidence from five systematic reviews and 18 primary studies. Remote befriending, social support and low intensity psychosocial interventions took the form of: (i) supported video-communication; (ii) online discussion groups and forums; (iii) telephone befriending; (iv) social networking sites; and (v) multi-tool interventions. The majority of studies utilised the first two approaches, and were generally regarded positively by older adults, although with mixed evidence around effectiveness. Focussing on processes and mechanisms, using ICA and QCA, we found that the interventions that were most successful in improving social support: (i) enabled participants to speak freely and to form close relationships; (ii) ensured participants have shared experiences/characteristics; (iii) included some form of pastoral guidance. Conclusions: The findings highlight a set of intervention processes that should be incorporated into interventions, although they do not lead us to recommend specific modes of support, due to the heterogeneity of interventions.
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Delgadillo J, McMillan D, Gilbody S, de Jong K, Lucock M, Lutz W, Rubel J, Aguirre E, Ali S. Cost-effectiveness of feedback-informed psychological treatment: Evidence from the IAPT-FIT trial. Behav Res Ther 2021; 142:103873. [PMID: 33945983 DOI: 10.1016/j.brat.2021.103873] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 02/08/2021] [Accepted: 04/19/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Feedback-informed treatment (FIT) involves using computerized routine outcome monitoring technology to alert therapists to cases that are not responding well to psychotherapy, prompting them to identify and resolve obstacles to improvement. In this study, we present the first health economic evaluation of FIT, compared to usual care, to enable decision makers to judge whether this approach represents a good investment for health systems. METHODS This randomised controlled trial included 2233 patients clustered within 77 therapists who were randomly assigned to a FIT group (n = 1176) or a usual care control group (n = 1057). Treatment response was monitored using patient-reported depression (PHQ-9) and anxiety (GAD-7) measures. Therapists in the FIT group had access to a computerized algorithm that alerted them to cases that were "not on track", compared to normative clinical data. Health service costs included the cost of training therapists to use FIT and the cost of therapy sessions in each arm. The incremental cost-effectiveness of FIT was assessed relative to usual care, using multilevel modelling. RESULTS FIT was associated with an increased probability of reliable symptomatic improvement by 8.09 percentage points (95% CI: 4.16%-12.03%) which was statistically significant. The incremental cost of FIT was £15.17 (95% CI: £6.95 to £37.29) per patient and was not statistically significant. The incremental cost-effectiveness ratio (ICER) per additional case of reliable improvement was £187.4 (95% CI: £126.7 to £501.5); this confidence interval shows that the relative cost-effectiveness is between FIT being a dominant strategy (i.e. more effective and also cost-saving) to FIT being more effective at a modest incremental cost to the health system. CONCLUSIONS The FIT strategy increases the probability of reliable improvement in routine clinical practice and may be associated with a small (but uncertain) incremental cost. FIT is likely to be a cost-effective strategy for mental health services.
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Affiliation(s)
- Jaime Delgadillo
- Clinical Psychology Unit, Department of Psychology, University of Sheffield, United Kingdom.
| | - Dean McMillan
- Department of Health Sciences and Hull York Medical School, University of York, United Kingdom
| | - Simon Gilbody
- Department of Health Sciences and Hull York Medical School, University of York, United Kingdom
| | - Kim de Jong
- Institute of Psychology, Leiden University, Netherlands
| | - Mike Lucock
- Centre for Applied Research in Health, University of Huddersfield, UK
| | - Wolfgang Lutz
- Department of Psychology, University of Trier, Germany
| | - Julian Rubel
- Department of Psychology, Justus-Liebig-University Giessen, Germany
| | - Elisa Aguirre
- North East London National Health Service (NHS) Foundation Trust, UK
| | - Shehzad Ali
- Department of Health Sciences and Hull York Medical School, University of York, United Kingdom; Department of Epidemiology and Biostatistics, Western University, Canada
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Sweetman J, Knapp P, Varley D, Woodhouse R, McMillan D, Coventry P. Barriers to attending initial psychological therapy service appointments for common mental health problems: A mixed-methods systematic review. J Affect Disord 2021; 284:44-63. [PMID: 33582432 DOI: 10.1016/j.jad.2021.01.089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 01/12/2021] [Accepted: 01/31/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Non-attendance at initial appointments is a widespread problem which affects mental health services and patients. METHODS This mixed methods systematic review identified and synthesised the available literature on factors, which could be modified either by patients or by services, that can influence early attrition to services offering psychological support for common mental health problems. Searches were conducted January 2017, updated Oct 2019, in MEDLINE, CINAHL Plus, EMBASE, Cochrane Library and PsycINFO. Screening, data extraction and quality appraisal were completed independently by two reviewers. Quality appraisals used Joanna Briggs Institute tools. RESULTS Of the 31,758 references identified (21,123 unique), 34 studies were selected for inclusion. Studies used cohort (14), cross-sectional (10) and qualitative (9) designs. An additional study reported both quantitative and qualitative components. Findings from observational studies related to the presenting problem, beliefs about symptoms and treatment, contact with services, practical challenges and social support. Themes from qualitative studies centred around individual perceptions of symptoms and support, social and cultural influences, experiences with services and practical issues. Similarities and differences between quantitative and qualitative syntheses are discussed in a combined synthesis. LIMITATIONS This review did not attempt to measure the effect of factors affecting attendance, or the effectiveness of interventions to reduce non-attendance to initial treatment appointments. CONCLUSIONS Ensuring treatments offered matched patient perceptions of problems, reducing patient concerns around engagement, and offering prompt responses with flexibility to accommodate patient circumstances consistently influenced initial attendance. More work is needed to improve perceptions of mental health services in the community.
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Affiliation(s)
| | - Peter Knapp
- Department of Health Sciences, University of York, UK; Hull York Medical School, UK
| | | | | | - Dean McMillan
- Department of Health Sciences, University of York, UK; Hull York Medical School, UK
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Coventry PA, McMillan D, Clegg A, Brown L, van der Feltz-Cornelis C, Gilbody S, Ali S. Frailty and depression predict instrumental activities of daily living in older adults: A population-based longitudinal study using the CARE75+ cohort. PLoS One 2020; 15:e0243972. [PMID: 33320913 PMCID: PMC7737980 DOI: 10.1371/journal.pone.0243972] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 12/01/2020] [Indexed: 11/20/2022] Open
Abstract
Objectives To evaluate if depression contributes, independently and/or in interaction with frailty, to loss of independence in instrumental activities of daily living (ADL) in older adults with frailty. Methods Longitudinal cohort study of people aged ≥75 years living in the community. We used multi-level linear regression model to quantify the relationship between depression (≥5 Geriatric Depression Scale) and frailty (electronic frailty index), and instrumental activities of daily living (Nottingham Extended Activities of Daily Living scale; range: 0–66; higher score implies greater independence). The model was adjusted for known confounders (age; gender; ethnicity; education; living situation; medical comorbidity). Results 553 participants were included at baseline; 53% were female with a mean age of 81 (5.0 SD) years. Depression and frailty (moderate and severe levels) were independently associated with reduced instrumental activities of daily living scores. In the adjusted analysis, the regression coefficient was -6.4 (95% CI: -8.3 to -4.5, p<0.05) for depression, -1.5 (95% CI: -3.8 to 0.9, p = 0.22) for mild frailty, -6.1 (95% CI: -8.6 to -3.6, p<0.05) for moderate frailty, and -10.1 (95% CI: -13.5 to -6.8, p<0.05) for severe frailty. Moreover, depression interacted with frailty to further reduce instrumental activities of daily living score in individuals with mild or moderate frailty. These relationships remained significant after adjusting for confounders. Conclusion Frailty and depression are independently associated with reduced independence in instrumental activities of daily living. Also, depression interacts with frailty to further reduce independence for mild to moderately frail individuals, suggesting that clinical management of frailty should integrate physical and mental health care.
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Affiliation(s)
- Peter A. Coventry
- Department of Health Sciences, University of York, York, United Kingdom
- * E-mail:
| | - Dean McMillan
- Department of Health Sciences and Hull York Medical School, University of York, York, United Kingdom
| | - Andrew Clegg
- Academic Unit of Elderly Care and Rehabilitation, University of Leeds, Bradford, United Kingdom
| | - Lesley Brown
- Academic Unit of Elderly Care and Rehabilitation, Bradford, Institute for Health Research, Bradford, United Kingdom
| | | | - Simon Gilbody
- Department of Health Sciences and Hull York Medical School, University of York, York, United Kingdom
| | - Shehzad Ali
- Department of Health Sciences, University of York, York, United Kingdom
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
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Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Boruff J, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Conwell Y, de Manvan Ginkel JM, Fann JR, Fischer FH, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Harrison PA, Härter M, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Jetté N, Khamseh ME, Kiely KM, Kwan Y, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, McGuire A, Mohd-Sidik S, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Reuter K, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van Weert HC, White J, Whooley MA, Winkley K, Yamada M, Benedetti A, Thombs BD. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis - ERRATUM. Psychol Med 2020; 50:2816. [PMID: 31423953 DOI: 10.1017/s0033291719002137] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Eddy E, Heron P, McMillan D, Dawson S, Ekers D, Hickin N, Littlewood E, Shafran R, Meader N, Gilbody S. Cognitive or behavioural interventions (or both) to prevent or mitigate loneliness in adolescents, adults, and older adults. Hippokratia 2020. [DOI: 10.1002/14651858.cd013791] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Elizabeth Eddy
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | - Paul Heron
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | - Dean McMillan
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School; University of Bristol; Bristol UK
- Cochrane Common Mental Disorders; University of York; York UK
| | - David Ekers
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
- Lanchester Road Hospital; Tees, Esk and Wear Valleys NHS Foundation Trust; Durham UK
| | - Nisha Hickin
- South West London and St George's Mental Health NHS Trust; London UK
- Great Ormond Street Institute of Child Health; University College London; London UK
| | - Elizabeth Littlewood
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
| | | | - Nicholas Meader
- Centre for Reviews and Dissemination; University of York; York UK
- Cochrane Common Mental Disorders; University of York; York UK
| | - Simon Gilbody
- Mental Health and Addiction Research Group, Department of Health Sciences; University of York; York UK
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Bonvoisin T, Paton LW, Hewitt C, McMillan D, Gilbody S, Tiffin PA. Collaborative care for depression in older adults: How much is enough? Behav Res Ther 2020; 135:103725. [PMID: 33002685 DOI: 10.1016/j.brat.2020.103725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/06/2020] [Accepted: 09/08/2020] [Indexed: 10/23/2022]
Abstract
Collaborative care in primary care has been shown to be effective for subthreshold depression in older adults in the 'CASPER' trial. However, to understand the impact of adherence, and to explore the minimum effective dose of collaborative care, we reanalysed the trial data using a complier average causal effect (CACE) analysis. Data were available for 705 participants, 519 with 12-month PHQ-9 scores. 'Compliance' could be observed for participants in the intervention group. Latent complier status in the control group was estimated. Completion of five or more sessions of care was defined as 'compliance'. Sensitivity analyses, using alternative cut-offs of two to eight sessions, assessed the impact of changing the definition of 'compliance'. Compliers in the intervention group had lower PHQ-9 scores at 12-month follow up than assumed compliers in the control group (1.75 lower, 95% confidence interval 0.29 to 3.21, p = 0.02), a greater effect than originally reported. Sensitivity analyses confirmed statistically significant differences between the intervention and control groups in those attending five or more sessions. We conclude that collaborative care is causally effective in reducing subthreshold depressive symptoms in older people who adhere to treatment. Our findings suggest the minimum effective dose is five sessions.
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Affiliation(s)
- Toby Bonvoisin
- Department of Health Sciences, University of York, Heslington, YO10 5DD, UK; Hull University Teaching Hospitals NHS Trust, Hull, HU3 2JZ, UK.
| | - Lewis W Paton
- Department of Health Sciences, University of York, Heslington, YO10 5DD, UK.
| | - Catherine Hewitt
- Department of Health Sciences, University of York, Heslington, YO10 5DD, UK.
| | - Dean McMillan
- Department of Health Sciences, University of York, Heslington, YO10 5DD, UK; Hull York Medical School, University of York, Heslington, YO10 5DD, UK.
| | - Simon Gilbody
- Department of Health Sciences, University of York, Heslington, YO10 5DD, UK; Hull York Medical School, University of York, Heslington, YO10 5DD, UK.
| | - Paul A Tiffin
- Department of Health Sciences, University of York, Heslington, YO10 5DD, UK; Hull York Medical School, University of York, Heslington, YO10 5DD, UK.
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Edwards J, McMillan D, Stallard S, Doughty J, Romics L, Savioli F. The effect of postoperative complications on survival and recurrence after surgery for breast cancer: A systematic review and meta-analysis. Eur J Cancer 2020. [DOI: 10.1016/s0959-8049(20)30826-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Melton H, Meader N, Dale H, Wright K, Jones-Diette J, Temple M, Shah I, Lovell K, McMillan D, Churchill R, Barbui C, Gilbody S, Coventry P. Interventions for adults with a history of complex traumatic events: the INCiTE mixed-methods systematic review. Health Technol Assess 2020; 24:1-312. [PMID: 32924926 DOI: 10.3310/hta24430] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND People with a history of complex traumatic events typically experience trauma and stressor disorders and additional mental comorbidities. It is not known if existing evidence-based treatments are effective and acceptable for this group of people. OBJECTIVE To identify candidate psychological and non-pharmacological treatments for future research. DESIGN Mixed-methods systematic review. PARTICIPANTS Adults aged ≥ 18 years with a history of complex traumatic events. INTERVENTIONS Psychological interventions versus control or active control; pharmacological interventions versus placebo. MAIN OUTCOME MEASURES Post-traumatic stress disorder symptoms, common mental health problems and attrition. DATA SOURCES Cumulative Index to Nursing and Allied Health Literature (CINAHL) (1937 onwards); Cochrane Central Register of Controlled Trials (CENTRAL) (from inception); EMBASE (1974 to 2017 week 16); International Pharmaceutical Abstracts (1970 onwards); MEDLINE and MEDLINE Epub Ahead of Print and In-Process & Other Non-Indexed Citations (1946 to present); Published International Literature on Traumatic Stress (PILOTS) (1987 onwards); PsycINFO (1806 to April week 2 2017); and Science Citation Index (1900 onwards). Searches were conducted between April and August 2017. REVIEW METHODS Eligible studies were singly screened and disagreements were resolved at consensus meetings. The risk of bias was assessed using the Cochrane risk-of-bias tool and a bespoke version of a quality appraisal checklist used by the National Institute for Health and Care Excellence. A meta-analysis was conducted across all populations for each intervention category and for population subgroups. Moderators of effectiveness were assessed using metaregression and a component network meta-analysis. A qualitative synthesis was undertaken to summarise the acceptability of interventions with the relevance of findings assessed by the GRADE-CERQual checklist. RESULTS One hundred and four randomised controlled trials and nine non-randomised controlled trials were included. For the qualitative acceptability review, 4324 records were identified and nine studies were included. The population subgroups were veterans, childhood sexual abuse victims, war affected, refugees and domestic violence victims. Psychological interventions were superior to the control post treatment for reducing post-traumatic stress disorder symptoms (standardised mean difference -0.90, 95% confidence interval -1.14 to -0.66; number of trials = 39) and also for associated symptoms of depression, but not anxiety. Trauma-focused therapies were the most effective interventions across all populations for post-traumatic stress disorder and depression. Multicomponent and trauma-focused interventions were effective for negative self-concept. Phase-based approaches were also superior to the control for post-traumatic stress disorder and depression and showed the most benefit for managing emotional dysregulation and interpersonal problems. Only antipsychotic medication was effective for reducing post-traumatic stress disorder symptoms; medications were not effective for mental comorbidities. Eight qualitative studies were included. Interventions were more acceptable if service users could identify benefits and if they were delivered in ways that accommodated their personal and social needs. LIMITATIONS Assessments about long-term effectiveness of interventions were not possible. Studies that included outcomes related to comorbid psychiatric states, such as borderline personality disorder, and populations from prisons and humanitarian crises were under-represented. CONCLUSIONS Evidence-based psychological interventions are effective and acceptable post treatment for reducing post-traumatic stress disorder symptoms and depression and anxiety in people with complex trauma. These interventions were less effective in veterans and had less of an impact on symptoms associated with complex post-traumatic stress disorder. FUTURE WORK Definitive trials of phase-based versus non-phase-based interventions with long-term follow-up for post-traumatic stress disorder and associated mental comorbidities. STUDY REGISTRATION This study is registered as PROSPERO CRD42017055523. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 43. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Hollie Melton
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Nick Meader
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Holly Dale
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Kath Wright
- Centre for Reviews and Dissemination, University of York, York, UK
| | | | | | | | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - Dean McMillan
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | - Rachel Churchill
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Corrado Barbui
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Simon Gilbody
- Department of Health Sciences, University of York, York, UK.,Hull York Medical School, University of York, York, UK
| | - Peter Coventry
- Centre for Reviews and Dissemination, University of York, York, UK.,Department of Health Sciences, University of York, York, UK
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Stares M, Patton R, Knowles G, Haigh R, Barrie C, Dobbs L, McMillan D, Laird B, Clive S. A biobank analysis of prognostic biomarkers of the systemic inflammatory response in patients presenting with malignancy of undefined primary origin. Eur J Cancer 2020; 139:1-9. [PMID: 32947141 DOI: 10.1016/j.ejca.2020.07.036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Survival prediction in patients presenting with malignancy of undefined primary origin (MUO) is challenging, with a lack of validated prognostic tools. Biomarkers of the systemic inflammatory response independently predict survival in other cancer types, but their role in MUO is unclear. The aim of this study was to assess biomarkers of the systemic inflammatory response in patients presenting with MUO. PATIENTS AND METHODS A biobank of 1049 patients presenting with MUO referred to a regional oncology service in Scotland was analysed. Key inflammatory biomarkers (white cell count, neutrophil count and C-reactive protein combined with albumin [to give the modified Glasgow Prognostic Score {mGPS}]) were examined. The relationship between these and survival was examined using Kaplan-Meier and Cox regression methods. RESULTS Data were available for 1049 patients. Median survival was 4.3 months (interquartile range: 1.7-16.0 months). On multivariate analysis mGPS was independently associated with survival and stratified survival from 13.6 months (mGPS: 0) to 2.3 months (mGPS: 2) (p < 0.001). The mGPS was predictive of survival on multivariate analysis in patients found to have a non-cancer diagnosis (p = 0.034), an identified primary cancer (0.002), cancer of unknown primary (CUP) (p = 0.011), those for whom biopsy was not done (MUO) (p = 0.036), those found to have an identified primary cancer (0.002) and even those found to have a non-cancer diagnosis (p = 0.034) after further detailed investigations. In patients with CUP mGPS predicted survival regardless of the recognised clinicopathological prognostic subgroup (p < 0.001). CONCLUSIONS The results of the present study demonstrate that biomarkers of the systemic inflammatory response are reliable prognostic factors in patients presenting with MUO. These simple, objective, routine clinical tests may inform clinical management.
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Affiliation(s)
- M Stares
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK; University of Edinburgh, Edinburgh, UK
| | - R Patton
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
| | - G Knowles
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
| | - R Haigh
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
| | - C Barrie
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
| | - L Dobbs
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
| | | | - B Laird
- University of Edinburgh, Edinburgh, UK
| | - S Clive
- Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK.
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43
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Savioli F, Edwards J, McMillan D, Stallard S, Doughty J, Romics L. The effect of postoperative complications on survival and recurrence after surgery for breast cancer: A systematic review and meta-analysis. Crit Rev Oncol Hematol 2020; 155:103075. [PMID: 32987333 DOI: 10.1016/j.critrevonc.2020.103075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 08/03/2020] [Indexed: 10/23/2022] Open
Abstract
BACKGROUND This systematic review investigated the impact of complications on long term outcomes for patients with primary invasive operable breast cancer. METHODS A systematic review was performed using appropriate keywords, and meta-analysis using a random effects model completed. RESULTS Ten retrospective cohort studies, including 37,657 patients were included. Five studies identified a relationship between wound complications, infection and pyrexia and recurrence or recurrence-free survival. Risk of recurrence, 1-year and 5-year recurrence-free survival and overall survival were related to complications, particularly for patients with poor Nottingham Prognostic Index. Five studies failed to demonstrate a relationship between complications and prognosis. Complication was found to significantly affect 5-year recurrence-free survival (HR 1.48 95 % CI 1.02-2.14, p = 0.04) but not recurrence (HR 2.39, 95 %CI 0.94-6.07, p = 0.07), with a high degree of heterogeneity amongst analysed studies (I2 = 95 %). DISCUSSION Further research is needed to quantify the effects of postoperative complication on prognosis following surgery for breast cancer.
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Affiliation(s)
- F Savioli
- Clinical Research Fellow, Specialty Trainee (General Surgery), Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Level 2 New Lister Building, Glasgow Royal Infirmary, 8-16 Alexandra Parade, Glasgow G31 2ER, United Kingdom.
| | - J Edwards
- Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow, G61 1QH, United Kingdom
| | - D McMillan
- Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Level 2 New Lister Building, Glasgow Royal Infirmary, 8-16 Alexandra Parade, Glasgow G31 2ER, United Kingdom
| | - S Stallard
- Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, United Kingdom
| | - J Doughty
- Gartnavel General Hospital, 1053 Great Western Road, Glasgow G12 0YN, United Kingdom
| | - L Romics
- New Victoria Hospital, 52 Grange Road, Glasgow G42 9LF, United Kingdom; Academic Unit of Surgery, School of Medical, Veterinary and Life Sciences, University of Glasgow, Level 2 New Lister Building, Glasgow Royal Infirmary, 8-16 Alexandra Parade, Glasgow G31 2ER, United Kingdom
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Wright B, Teige C, Watson J, Hodkinson R, Marshall D, Varley D, Allgar V, Mandefield L, Parrott S, Kingsley E, Hargate R, Mitchell N, Ali S, McMillan D, Wang H, Hewitt C. Autism Spectrum Social Stories In Schools Trial 2 (ASSSIST2): study protocol for a randomised controlled trial analysing clinical and cost-effectiveness of Social Stories™ in primary schools. BMC Psychol 2020; 8:60. [PMID: 32532354 PMCID: PMC7291714 DOI: 10.1186/s40359-020-00427-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 06/05/2020] [Indexed: 11/14/2022] Open
Abstract
Background Interventions designed to support children with a diagnosis of Autism Spectrum Conditions (ASC) can be time consuming, needing involvement of outside experts. Social Stories™ are a highly personalised intervention aiming to give children with ASC social information or describing an otherwise difficult situation or skill. This can be delivered daily by staff in education settings. Studies examining Social Story™ use have yielded mostly positive results but have largely been single case studies with a lack of randomised controlled trials (RCTs). Despite this numerous schools are utilising Social Stories™, and a fully powered RCT is timely. Methods A multi-site pragmatic cluster RCT comparing care as usual with Social Stories™ and care as usual. This study will recruit 278 participants (aged 4–11) with a clinical diagnosis of ASC, currently attending primary school in the North of England. Approximately 278 school based staff will be recruited to provide school based information about participating children with approximately 140 recruited to deliver the intervention. The study will be cluster randomised by school. Potential participants will be screened for eligibility prior to giving informed consent. Follow up data will be collected at 6 weeks and 6 months post randomisation and will assess changes in participants’ social responsiveness, goal based outcomes, social and emotional health. The primary outcome measure is the Social Responsiveness Scale Second Edition (SRS-2) completed by school based staff at 6 months. Approvals have been obtained from the University of York’s Research Governance Committee, Research Ethics Committee and the Health Research Authority. Study results will be submitted for publication in peer-reviewed journals and disseminated to participating families, educational staff, local authority representatives, community groups and Patient and Participant Involvement representatives. Suggestions will be made to NICE about treatment evidence dependent on findings. Discussion This study addresses a much used but currently under researched intervention and results will inform school based support for primary school children with a diagnosis of ASC. Trial registration The trial is registered on the ISRCTN registry (registration number: ISRCTN11634810). The trial was retrospectively registered on 23rd April 2019.
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Affiliation(s)
- B Wright
- Child Oriented Mental Health Intervention Centre, Leeds and York Partnership NHS Foundation Trust, York, UK. .,Hull York Medical School, University of York, York, UK. .,COMIC, IT Centre, Innovation Way, Heslington, York, YO10 5NP, UK.
| | - C Teige
- Child Oriented Mental Health Intervention Centre, Leeds and York Partnership NHS Foundation Trust, York, UK
| | - J Watson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - R Hodkinson
- Child Oriented Mental Health Intervention Centre, Leeds and York Partnership NHS Foundation Trust, York, UK
| | - D Marshall
- Centre for Reviews and Dissemination, University of York, York, UK
| | - D Varley
- Department of Health Sciences, University of York, York, UK
| | - V Allgar
- Department of Health Sciences, University of York, York, UK
| | - L Mandefield
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - S Parrott
- Department of Health Sciences, University of York, York, UK
| | - E Kingsley
- Child Oriented Mental Health Intervention Centre, Leeds and York Partnership NHS Foundation Trust, York, UK
| | - R Hargate
- Child Oriented Mental Health Intervention Centre, Leeds and York Partnership NHS Foundation Trust, York, UK
| | - N Mitchell
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - S Ali
- Department of Health Sciences, University of York, York, UK.,Department of Epidemiology and Biostatistics, Schulich School of Medicine, Western University, London, Ontario, Canada
| | - D McMillan
- Department of Health Sciences, University of York, York, UK
| | - H Wang
- Department of Health Sciences, University of York, York, UK
| | - C Hewitt
- York Trials Unit, Department of Health Sciences, University of York, York, UK
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45
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Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, Rice DB, Boruff J, Cuijpers P, Gilbody S, Ioannidis JPA, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Akena DH, Arroll B, Ayalon L, Baradaran HR, Baron M, Bombardier CH, Butterworth P, Carter G, Chagas MH, Chan JCN, Cholera R, Conwell Y, de Man-van Ginkel JM, Fann JR, Fischer FH, Fung D, Gelaye B, Goodyear-Smith F, Greeno CG, Hall BJ, Harrison PA, Härter M, Hegerl U, Hides L, Hobfoll SE, Hudson M, Hyphantis T, Inagaki M, Jetté N, Khamseh ME, Kiely KM, Kwan Y, Lamers F, Liu SI, Lotrakul M, Loureiro SR, Löwe B, McGuire A, Mohd-Sidik S, Munhoz TN, Muramatsu K, Osório FL, Patel V, Pence BW, Persoons P, Picardi A, Reuter K, Rooney AG, Santos IS, Shaaban J, Sidebottom A, Simning A, Stafford L, Sung S, Tan PLL, Turner A, van Weert HC, White J, Whooley MA, Winkley K, Yamada M, Benedetti A, Thombs BD. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis. Psychol Med 2020; 50:1368-1380. [PMID: 31298180 PMCID: PMC6954991 DOI: 10.1017/s0033291719001314] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Alexander W Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Jill Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - John P A Ioannidis
- Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA
| | - Lorie A Kloda
- Library, Concordia University, Montréal, Québec, Canada
| | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dickens H Akena
- Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda
| | - Bruce Arroll
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Hamid R Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
- Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK
| | - Murray Baron
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Charles H Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Peter Butterworth
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
- Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne, Australia
| | - Gregory Carter
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Marcos H Chagas
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region (SAR), China
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, Hong Kong SAR, China
| | - Rushina Cholera
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, New York, USA
| | - Janneke M de Man-van Ginkel
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jesse R Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Felix H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel Fung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Felicity Goodyear-Smith
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Catherine G Greeno
- School of Social Work, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Brian J Hall
- Global and Community Mental Health Research Group, Department of Psychology, Faculty of Social Sciences, University of Macau, Macau Special Administrative Region, China
- Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Martin Härter
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Hegerl
- Depression Research Center of the German Depression Foundation and Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Leanne Hides
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Stevan E Hobfoll
- STAR-Stress, Anxiety & Resilience Consultants, Chicago, Illinois, USA
| | - Marie Hudson
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
| | - Thomas Hyphantis
- Department of Psychiatry, University of Ioannina, Ioannina, Greece
| | - Masatoshi Inagaki
- Department of Psychiatry, Faculty of Medicine, Shimane University, Shimane, Japan
| | - Nathalie Jetté
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mohammad E Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Kim M Kiely
- School of Psychology, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Yunxin Kwan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Femke Lamers
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Shen-Ing Liu
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
- Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, Mackay Medical College, Taipei, Taiwan
| | - Manote Lotrakul
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sonia R Loureiro
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anthony McGuire
- Department of Nursing, St. Joseph's College, Standish, Maine, USA
| | - Sherina Mohd-Sidik
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Cancer Resource & Education Centre, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Tiago N Munhoz
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan
| | - Flávia L Osório
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- National Institute of Science and Technology, Translational Medicine, Ribeirão Preto, Brazil
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Brian W Pence
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Philippe Persoons
- Department of Adult Psychiatry, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Angelo Picardi
- Centre for Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Katrin Reuter
- Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Freiburg, Germany
| | - Alasdair G Rooney
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburg, Edinburgh, Scotland, UK
| | - Iná S Santos
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Juwita Shaaban
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | - Adam Simning
- Department of Psychiatry, University of Rochester Medical Center, New York, USA
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Parkville, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Australia
| | - Sharon Sung
- Department of Child & Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Pei Lin Lynnette Tan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, New South Wales, Newcastle, Australia
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Henk C van Weert
- Department of General Practice, Amsterdam Institute for General Practice and Public Health, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | | | - Mary A Whooley
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
- Department of Medicine, Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK
| | - Mitsuhiko Yamada
- Department of Neuropsychopharmacology, National Institute of Mental Health, National Center of Neurology and Psychiatry, Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
- Department of Psychology, McGill University, Montréal, Québec, Canada
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada
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Heslin M, Gellatly J, Pedley R, Knopp-Hoffer J, Hardy G, Arundel C, Bee P, McMillan D, Peckham E, Gega L, Barkham M, Bower P, Gilbody S, Lovell K, Byford S. Out of pocket expenses in obsessive compulsive disorder. J Ment Health 2020; 31:607-612. [PMID: 32357807 DOI: 10.1080/09638237.2020.1755028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Background: Despite anecdotal evidence that the out of pocket costs of OCD can be substantial in some cases, there is no evidence on how many people they affect, or the magnitude of these costs.Aims: This paper explores the type and quantity of out of pocket expenses reported by a large sample of adults with OCD.Methods: Data on out of pocket expenses were collected from participants taking part in the OCTET multi-centre randomised controlled trial. Participants were aged 18+, meeting DSM-IV criteria for OCD, and scoring 16+ on the Yale Brown Obsessive Compulsive Scale. Individual-level resource use data including a description and estimated cost of out of pocket expenses were measured using an adapted version of the Adult Service Use Schedule (AD-SUS): a questionnaire used to collect data on resource use.Results: Forty-five percent (208/465) reported out of pocket expenses due to their OCD. The mean cost of out of pocket expenses was £19.19 per week (SD £27.56 SD), range £0.06-£224.00.Conclusions: Future economic evaluations involving participants with OCD should include out of pocket expenses, but careful consideration of alternative approaches to the collection and costing of this data is needed.
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Affiliation(s)
- Margaret Heslin
- Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, UK
| | - Judith Gellatly
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Rebecca Pedley
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Jasmin Knopp-Hoffer
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| | - Gillian Hardy
- Centre for Psychological Services Research, Department of Psychology, University of Sheffield, Sheffield, UK
| | | | - Penny Bee
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Dean McMillan
- Hull York Medical School & Department of Health Sciences, University of York, York, UK
| | - Emily Peckham
- Department of Health Sciences, University of York, York, UK
| | - Lina Gega
- Hull York Medical School & Department of Health Sciences, University of York, York, UK
| | - Michael Barkham
- Centre for Psychological Services Research, Department of Psychology, University of Sheffield, Sheffield, UK
| | - Peter Bower
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| | - Simon Gilbody
- Hull York Medical School & Department of Health Sciences, University of York, York, UK
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Sarah Byford
- Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, UK
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47
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Irvine A, Drew P, Bower P, Brooks H, Gellatly J, Armitage CJ, Barkham M, McMillan D, Bee P. Are there interactional differences between telephone and face-to-face psychological therapy? A systematic review of comparative studies. J Affect Disord 2020; 265:120-131. [PMID: 32090733 PMCID: PMC7049904 DOI: 10.1016/j.jad.2020.01.057] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 01/07/2020] [Accepted: 01/14/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Despite comparable clinical outcomes, therapists and patients express reservations about the delivery of psychological therapy by telephone. These concerns centre around the quality of the therapeutic relationship and the ability to exercise professional skill and judgement in the absence of visual cues. However, the empirical evidence base for such perceptions has not been clearly established. METHODS We conducted a systematic review to establish what is known empirically about interactional differences between psychotherapeutic encounters conducted face-to-face vs. by telephone. RESULTS The review identified 15 studies that used situated, comparative approaches to exploring interactional aspects of telephone and face-to-face psychological therapy. These studies revealed evidence of little difference between modes in terms of therapeutic alliance, disclosure, empathy, attentiveness or participation. However, telephone therapy sessions were significantly shorter than those conducted face-to-face. LIMITATIONS We identified only a small number of heterogeneous studies, many of which used non-randomised, opportunity samples and did not use validated measures to assess the constructs under investigation. Disparate therapeutic modalities were used across studies and samples included both clinically diagnosed and non-clinical populations. CONCLUSIONS Available evidence suggests a lack of support for the viewpoint that the telephone has a detrimental effect on interactional aspects of psychological therapy. The challenge for clinical practice is to translate this evidence into a change in practitioner and patient attitudes and behaviours. In order to do so, it is important to understand and address the breadth of factors that underpin ongoing ambivalence towards the telephone mode, which pose a barrier to wider implementation.
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Affiliation(s)
- Annie Irvine
- Department of Language and Linguistic Science, University of York, Heslington, York, UK.
| | - Paul Drew
- Department of Language and Linguistic Science, University of York, Heslington, York, UK
| | - Peter Bower
- NIHR School for Primary care Research, Centre for Primary Care and Health Services Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and health, University of Manchester, Manchester Academic Health Science Centre Manchester, UK
| | - Helen Brooks
- Department of Health Services Research, Institute of Population Health Sciences, University of Liverpool, UK
| | - Judith Gellatly
- Division of Nursing, Midwifery & Social Work, School of Health Sciences, University of Manchester, UK
| | - Christopher J. Armitage
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, UK; Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Michael Barkham
- Clinical Psychology Unit, Department of Psychology, University of Sheffield, UK
| | - Dean McMillan
- Department of Health Sciences, University of York, UK
| | - Penny Bee
- Division of Nursing, Midwifery & Social Work, School of Health Sciences, University of Manchester, UK
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48
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Moriarty AS, Coventry PA, Hudson JL, Cook N, Fenton OJ, Bower P, Lovell K, Archer J, Clarke R, Richards DA, Dickens C, Gask L, Waheed W, Huijbregts KM, van der Feltz-Cornelis C, Ali S, Gilbody S, McMillan D. The role of relapse prevention for depression in collaborative care: A systematic review. J Affect Disord 2020; 265:618-644. [PMID: 31791677 DOI: 10.1016/j.jad.2019.11.105] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 10/01/2019] [Accepted: 11/21/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Relapse (the re-emergence of depression symptoms before full recovery) is common in depression and relapse prevention strategies are not well researched in primary care settings. Collaborative care is effective for treating acute phase depression but little is known about the use of relapse prevention strategies in collaborative care. We undertook a systematic review to identify and characterise relapse prevention strategies in the context of collaborative care. METHODS We searched for Randomised Controlled Trials (RCTs) of collaborative care for depression. In addition to published material, we obtained provider and patient manuals from authors to provide more detail on intervention content. We reported the extent to which collaborative care interventions addressed four relapse prevention components. RESULTS 93 RCTs were identified. 31 included a formal relapse prevention plan; 42 had proactive monitoring and follow-up after the acute phase; 39 reported strategies for optimising sustained medication adherence; and 20 of the trials reported psychological or psycho-educational treatments persisting beyond the acute phase or focussing on long-term health/relapse prevention. 30 (32.3%) did not report relapse prevention approaches. LIMITATIONS We did not receive trial materials for approximately half of the trials, which limited our ability to identify relevant features of intervention content. CONCLUSION Relapse is a significant risk amongst people treated for depression and interventions are needed that specifically address and minimise this risk. Given the advantages of collaborative care as a delivery system for depression care, there is scope for more consistency and increased effort to implement and evaluate relapse prevention strategies.
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Affiliation(s)
- Andrew S Moriarty
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
| | - Peter A Coventry
- Department of Health Sciences and Centre for Reviews and Dissemination, University of York, Heslington, York, YO10 5DD, UK.
| | - Joanna L Hudson
- King's College London, Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, 16 De Crespigny Park, London, SE5 8AF, UK.
| | - Natalie Cook
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
| | - Oliver J Fenton
- Tees, Esk and Wear Valleys NHS Foundation Trust, South and West Community Mental Health Team, Acomb Garth, 2 Oak Rise, York, YO24 4LJ, UK.
| | - Peter Bower
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Janine Archer
- School of Health and Society, University of Salford, Mary Seacole Building, Broad St, Frederick Road Campus, Salford, M6 6PU, UK.
| | - Rose Clarke
- Sheffield IAPT, St George's Community Health Centre, Winter Street, Sheffield, South Yorkshire, S3 7ND, UK.
| | - David A Richards
- Institute of Health Research, College of Medicine and Health, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
| | - Chris Dickens
- Institute of Health Research, College of Medicine and Health, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
| | - Linda Gask
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Waquas Waheed
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.
| | - Klaas M Huijbregts
- GGNet, Mental Health, RGC SKB Winterswijk, Beatrixpark 1, 7101 BN Winterswijk, The Netherlands.
| | | | - Shehzad Ali
- Epidemiology and Biostatistics Department, Schulich School of Medicine & Dentistry, Western University, Kresge Building, Room K201, London, Ontario, N6A 5C1, Canada; Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK.
| | - Simon Gilbody
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
| | - Dean McMillan
- Department of Health Sciences and the Hull York Medical School, University of York, Heslington, York, YO10 5DD, UK.
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49
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Levis B, Benedetti A, Ioannidis JPA, Sun Y, Negeri Z, He C, Wu Y, Krishnan A, Bhandari PM, Neupane D, Imran M, Rice DB, Riehm KE, Saadat N, Azar M, Boruff J, Cuijpers P, Gilbody S, Kloda LA, McMillan D, Patten SB, Shrier I, Ziegelstein RC, Alamri SH, Amtmann D, Ayalon L, Baradaran HR, Beraldi A, Bernstein CN, Bhana A, Bombardier CH, Carter G, Chagas MH, Chibanda D, Clover K, Conwell Y, Diez-Quevedo C, Fann JR, Fischer FH, Gholizadeh L, Gibson LJ, Green EP, Greeno CG, Hall BJ, Haroz EE, Ismail K, Jetté N, Khamseh ME, Kwan Y, Lara MA, Liu SI, Loureiro SR, Löwe B, Marrie RA, Marsh L, McGuire A, Muramatsu K, Navarrete L, Osório FL, Petersen I, Picardi A, Pugh SL, Quinn TJ, Rooney AG, Shinn EH, Sidebottom A, Spangenberg L, Tan PLL, Taylor-Rowan M, Turner A, van Weert HC, Vöhringer PA, Wagner LI, White J, Winkley K, Thombs BD. Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis. J Clin Epidemiol 2020; 122:115-128.e1. [PMID: 32105798 DOI: 10.1016/j.jclinepi.2020.02.002] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 02/08/2020] [Accepted: 02/18/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. STUDY DESIGN AND SETTING Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. RESULTS A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). CONCLUSION PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.
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Affiliation(s)
- Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada
| | - John P A Ioannidis
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA; Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Zelalem Negeri
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Jill Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montréal, Québec, Canada
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, NY, UK
| | - Lorie A Kloda
- Library, Concordia University, Montréal, Québec, Canada
| | - Dean McMillan
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Family Medicine, McGill University, Montréal, Québec, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sultan H Alamri
- Faculty of Medicine, King Abdulaziz University, Jeddah, Makkah, Saudi Arabia
| | - Dagmar Amtmann
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Liat Ayalon
- Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel
| | - Hamid R Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran; Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK
| | - Anna Beraldi
- Kbo-Lech-Mangfall-Klinik Garmisch-Partenkirchen, Klinik für Psychiatrie, Psychotherapie & Psychosomatik, Lehrkrankenhaus der Technischen Universität München, Munich, Germany
| | - Charles N Bernstein
- University of Manitoba IBD Clinical and Research Centre, Winnipeg, Manitoba, Canada; Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Arvin Bhana
- Centre for Rural Health, School of Nursing and Public Health, College of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa; Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Charles H Bombardier
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Gregory Carter
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Marcos H Chagas
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Dixon Chibanda
- Department of Community Medicine, University of Zimbabwe, Harare, Zimbabwe
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia
| | - Yeates Conwell
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Crisanto Diez-Quevedo
- Servei de Psiquiatria, Hospital Germans Trias i Pujol, Badalona, Spain; Departament de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Jesse R Fann
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Felix H Fischer
- Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Leila Gholizadeh
- Faculty of Health, University of Technology Sydney, Sydney, Australia
| | - Lorna J Gibson
- Tropical Epidemiology Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Eric P Green
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | | | - Brian J Hall
- Department of Psychology, Faculty of Social Sciences, Global and Community Mental Health Research Group, University of Macau, Macau Special Administrative Region, China; Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily E Haroz
- Center for American Indian Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Khalida Ismail
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London Weston Education Centre, London, UK
| | - Nathalie Jetté
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mohammad E Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Yunxin Kwan
- Department of Psychological Medicine, Tan Tock Seng Hospital, Singapore
| | - Maria Asunción Lara
- Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz. San Lorenzo Huipulco, Tlalpan, México D. F. Mexico
| | - Shen-Ing Liu
- Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore; Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medicine, Mackay Medical College, Taipei, Taiwan
| | - Sonia R Loureiro
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ruth Ann Marrie
- Departments of Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Laura Marsh
- Baylor College of Medicine, Houston and Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Anthony McGuire
- Department of Nursing, St. Joseph's College, Standish, ME, USA
| | - Kumiko Muramatsu
- Department of Clinical Psychology, Graduate School of Niigata Seiryo University, Niigata, Japan
| | - Laura Navarrete
- Department of Epidemiology and Psychosocial Research, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Ciudad de México, Mexico
| | - Flávia L Osório
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil; National Institute of Science and Technology, Translational Medicine, Ribeirão Preto, Brazil
| | - Inge Petersen
- Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Angelo Picardi
- Centre for Behavioural Sciences and Mental Health, Italian National Institute of Health, Rome, Italy
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center, Philadelphia, PA, USA; American College of Radiology, Philadelphia, PA, USA
| | - Terence J Quinn
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, Scotland, UK
| | - Alasdair G Rooney
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburg, Edinburgh, Scotland, UK
| | - Eileen H Shinn
- Department of Behavioral Science, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | | | - Lena Spangenberg
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany
| | | | - Martin Taylor-Rowan
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, Scotland, UK
| | - Alyna Turner
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Henk C van Weert
- Department of General Practice, Amsterdam Institute for General Practice and Public Health, Amsterdam University Medical Centers, Location AMC, Amsterdam, the Netherlands
| | - Paul A Vöhringer
- Department of Psychiatry and Mental Health, Clinical Hospital, Universidad de Chile, Santiago, Chile; Millennium Institute for Depression and Personality Research (MIDAP), Ministry of Economy, Macul, Santiago, Chile; Psychiatry Department, Tufts Medical Center, Tufts University, Boston, MA, USA
| | - Lynne I Wagner
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA; Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Jennifer White
- Department of Physiotherapy, School of Primary and Allied Health Care, Monash University, Melbourne, Australia
| | - Kirsty Winkley
- Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada; Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada; Biomedical Ethics Unit, McGill University, Montréal, Québec, Canada.
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Wu Y, Levis B, Sun Y, Krishnan A, He C, Riehm KE, Rice DB, Azar M, Yan XW, Neupane D, Bhandari PM, Imran M, Chiovitti MJ, Saadat N, Boruff JT, Cuijpers P, Gilbody S, McMillan D, Ioannidis JPA, Kloda LA, Patten SB, Shrier I, Ziegelstein RC, Henry M, Ismail Z, Loiselle CG, Mitchell ND, Tonelli M, Al-Adawi S, Beraldi A, Braeken APBM, Büel-Drabe N, Bunevicius A, Carter G, Chen CK, Cheung G, Clover K, Conroy RM, Cukor D, da Rocha E Silva CE, Dabscheck E, Daray FM, Douven E, Downing MG, Feinstein A, Ferentinos PP, Fischer FH, Flint AJ, Fujimori M, Gallagher P, Gandy M, Goebel S, Grassi L, Härter M, Jenewein J, Jetté N, Julião M, Kim JM, Kim SW, Kjærgaard M, Köhler S, Loosman WL, Löwe B, Martin-Santos R, Massardo L, Matsuoka Y, Mehnert A, Michopoulos I, Misery L, Navines R, O'Donnell ML, Öztürk A, Peceliuniene J, Pintor L, Ponsford JL, Quinn TJ, Reme SE, Reuter K, Rooney AG, Sánchez-González R, Schwarzbold ML, Senturk Cankorur V, Shaaban J, Sharpe L, Sharpe M, Simard S, Singer S, Stafford L, Stone J, Sultan S, Teixeira AL, Tiringer I, Turner A, Walker J, Walterfang M, Wang LJ, White J, Wong DK, Benedetti A, Thombs BD. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies. J Psychosom Res 2020; 129:109892. [PMID: 31911325 DOI: 10.1016/j.jpsychores.2019.109892] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/10/2019] [Accepted: 12/11/2019] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). METHODS Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. RESULTS There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). CONCLUSION Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Ying Sun
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Ankur Krishnan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Chen He
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Kira E Riehm
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Danielle B Rice
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Psychology, McGill University, Montréal, QC, Canada
| | - Marleine Azar
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Xin Wei Yan
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Dipika Neupane
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Parash Mani Bhandari
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Mahrukh Imran
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Matthew J Chiovitti
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Nazanin Saadat
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Jill T Boruff
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada
| | - Pim Cuijpers
- EMGO Institute, Vrije Universiteit Amsterdam, the Netherlands
| | - Simon Gilbody
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - Dean McMillan
- Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK
| | - John P A Ioannidis
- Department of Clinical, Neuro and Developmental Psychology, Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, CA, USA
| | | | - Scott B Patten
- Departments of Community Health Sciences and Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada; Cuthbertson & Fischer Chair in Pediatric Mental Health, University of Calgary, Calgary, Canada
| | - Ian Shrier
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Family Medicine, McGill University, Montréal, QC, Canada
| | - Roy C Ziegelstein
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Melissa Henry
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute & O'Brien Institute for Public Health, Calgary, AB, Canada; Department of Psychiatry, Clinical Neuroscience and Community Health Sciences, University of Calgary, Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Carmen G Loiselle
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Ingram School of Nursing, McGill University, Montréal, QC, Canada; Centre for Nursing Research, Jewish General Hospital, Montréal, QC, Canada; Department of Oncology, Faculty of Medicine, McGill University, Montréal, QC, Canada
| | - Nicholas D Mitchell
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Alberta Health Services, Edmonton, AB, Canada
| | - Marcello Tonelli
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Samir Al-Adawi
- Department of Behavioural Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, Oman, Oman
| | - Anna Beraldi
- Psychotherapie und Psychsomatik, kbo Lech-Mangfall-Klinik für Psychatrie, Garmisch-Partenkirchen, Bayern, Germany
| | - Anna P B M Braeken
- Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands; Faculty of Psychology, Open University of the Netherlands, Heerlen, the Netherlands; Department of Health Services Research, CAPHRI School for Public Health and Primary, Maastricht University, Maastricht, the Netherlands
| | - Natalie Büel-Drabe
- Department of Psychiatry and Psychotherapy, University Hospital Zürich, Zürich, Switzerland
| | - Adomas Bunevicius
- Harvard University, Boston, MA, USA; Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Gregory Carter
- University of Newcastle, Australia; Calvary Mater Newcastle, Australia
| | - Chih-Ken Chen
- Community Medicine Research Center, Keelung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Keelung, Taiwan; Department of Psychiatry, Keelung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Keelung, Taiwan
| | - Gary Cheung
- University of Auckland, Auckland, New Zealand
| | - Kerrie Clover
- Centre for Brain and Mental Health Research, University of Newcastle, NSW, Australia
| | - Ronán M Conroy
- Royal College of Surgeons in Ireland Division of Population Health Sciences, Dublin, Ireland
| | | | - Carlos E da Rocha E Silva
- Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Eli Dabscheck
- The Alfred Hospital, Prahran, VIC, Australia; Monash University, Melbourne, Australia
| | - Federico M Daray
- National Scientific and Technical Research Council, Buenos Aires, Argentina; Institute of Pharmacology, School of Medicine, University of Buenos Aires, Buenos Aires, Argentina
| | - Elles Douven
- Alzheimer Center Limburg and School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Marina G Downing
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; Monash Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, VIC, Australia
| | - Anthony Feinstein
- University of Toronto, Toronto, ON, Canada; Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Panagiotis P Ferentinos
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece; Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Felix H Fischer
- Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Alastair J Flint
- University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Maiko Fujimori
- Section of Psychological Science, Division of Health Care Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | | | - Milena Gandy
- The Department of Psychology, Macquarie University, Sydney, Australia
| | - Simone Goebel
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Christian-Albrechts University, Kiel, Germany
| | - Luigi Grassi
- Institute of Psychiatry, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy; Psychiatric Unit, Integrated Department of Mental Health and Addictive Behavior, Health Trust, University Hospital, Ferrara, Italy
| | - Martin Härter
- Department of Medical Psychology, University of Hamburg, Hamburg, Germany
| | - Josef Jenewein
- Clinic Zugersee, Center for Psychiatry and Psychotherapie, Oberwil-Zug, Switzerland; University of Zurich, Zurich, Switzerland
| | - Nathalie Jetté
- Departments of Neurology and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Miguel Julião
- Equipa Comunitária de Suporte em Cuidados Paliativos de Sintra, Portugal
| | - Jae-Min Kim
- Chonnam National University Medical School, Republic of Korea
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Republic of Korea
| | - Marie Kjærgaard
- Endocrinology Research Group, Medical Clinic, University Hospital of North Norway, Norway; Department of Internal Medicine, Kolding Hospital, Hospital Lillebaelt, Denmark
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Wim L Loosman
- Onze Lieve vrouw Gasthuis, Amsterdam, the Netherlands
| | - Bernd Löwe
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rocio Martin-Santos
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Loreto Massardo
- Centro de Biología Celular y Biomedicina, Facultad de Medicina y Ciencia, Universidad San Sebastián. Santiago, Chile
| | - Yutaka Matsuoka
- Division of Health Care Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; Lifestyle Medicine, Cooperative Graduate Program, The Jikei University Graduate School of Medicine, Tokyo, Japan
| | - Anja Mehnert
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany
| | - Ioannis Michopoulos
- 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Laurent Misery
- Department of Dermatology, University Hospital of Brest, Brest, France
| | - Ricard Navines
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | | | | | - Jurate Peceliuniene
- Clinic of Internal Diseases, Family Medicine and Oncology, Vilnius University Faculty of Medicine, Vilnius, Lithuania
| | - Luis Pintor
- Consultation Liaison Psychiatry Unit, Hospital Clínico de Barcelona, Barcelona, Spain; Instituto de Investigaciones Biomédicas Augusto Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Jennie L Ponsford
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; Monash Epworth Rehabilitation Research Centre, Epworth HealthCare, Melbourne, VIC, Australia
| | - Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Silje E Reme
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway; Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Katrin Reuter
- Private Practice for Psychotherapy and Psycho-oncology, Freiburg, Germany
| | - Alasdair G Rooney
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK; Robert Fergusson Unit, Royal Edinburgh Hospital, NHS Lothian, Edinburgh, UK
| | - Roberto Sánchez-González
- Department of Psychiatry, Institut de Neuropsiquiatria i Addiccions, Centre Emili Mira, Parc de Salut Mar, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Centro de Investigación Biomédica En Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Marcelo L Schwarzbold
- Department of Internal Medicine, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | | | - Juwita Shaaban
- Department of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Louise Sharpe
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
| | | | - Sébastien Simard
- Département des sciences de la santé, Université du Québec à Chicoutimi (UQAC), QC, Canada; Centre intersectoriel en santé durable (CISD), QC, Canada; Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec (IUCPQ), QC, Canada
| | - Susanne Singer
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre Mainz, Mainz, Germany
| | - Lesley Stafford
- Centre for Women's Mental Health, Royal Women's Hospital, Parkville, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Jon Stone
- University of Edinburgh, Edinburgh, UK
| | - Serge Sultan
- Université de Montréal, QC, Canada; CHU Sainte-Justine, Montréal, QC, Canada
| | - Antonio L Teixeira
- University of Texas Health Science Center at Houston, Houston, TX, USA; Santa Casa BH Ensino & Pesquisa, Belo Horizonte, Brazil
| | - Istvan Tiringer
- Institute of Behavioral Sciences, Pécs University, Medical School, Pécs, Hungary
| | - Alyna Turner
- IMPACT Strategic Research Centre and School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia; Faculty of Health and Medicine, School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia; Department of Psychiatry, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | | | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia; Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Liang-Jen Wang
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | | | - Dana K Wong
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; School of Psychology & Public Health, La Trobe University, Melbourne, Australia
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, QC, Canada; Department of Medicine, McGill University, Montréal, QC, Canada.
| | - Brett D Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Psychiatry, McGill University, Montréal, QC, Canada; Department of Psychology, McGill University, Montréal, QC, Canada; Department of Medicine, McGill University, Montréal, QC, Canada; Department of Educational and Counselling Psychology, McGill University, Montréal, QC, Canada.
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