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Rognstad K, Engell T, Fjermestad K, Wentzel-Larsen T, Kjøbli J. Process and Implementation Elements of Measurement Feedback Systems: A Systematic Review. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2025; 52:74-87. [PMID: 38153585 PMCID: PMC11703878 DOI: 10.1007/s10488-023-01325-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2023] [Indexed: 12/29/2023]
Abstract
Measurement feedback systems (MFS) can help guide treatment and improve clinical outcomes. Studies of MFS are heterogeneous both in execution and results, and the effects of MFS seem restricted by limited attention to process and implementation elements and by limited adoption by health professionals. The current systematic review mapped the use of process and implementation elements in MFS studies. An overview of therapists' use of and attitudes toward MFS is provided. Three-level meta-analyses were used to test theoretically informed process and implementation elements as moderators of the effects of MFS. Hypotheses and general propositions from Clinical Performance Feedback Intervention Theory (CP-FIT) were used to organize the elements of the studies and were used as moderator variables. Previous studies on MFS interventions have had a limited focus on implementation efforts and process elements that may increase the effects of MFS and their use among therapists. Efforts have sparsely been made to reduce barriers to MFS use, and several studies have reported limited engagement with MFS among therapists. Therapists' attitudes toward MFS, feedback, or standardized measures were heterogeneously reported, making data synthesis challenging. Identified process and implementation elements were not significantly associated with effect sizes in the studies and the results did not support the propositions of CP-FIT. The lack of statistically significant associations may be due to limited reporting of details about process and implementation aspects. More research designed to test hypotheses regarding process and implementation elements is needed to improve the use and effects of MFS. Future studies should aspire to report findings in a manner that allows for an understanding of the implementation process and therapists' adoption of these systems.
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Affiliation(s)
- Kristian Rognstad
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway.
- Department of Psychology, University of Oslo, Oslo, Norway.
| | - Thomas Engell
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
| | | | - Tore Wentzel-Larsen
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - John Kjøbli
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Department of Education, University of Oslo, Oslo, Norway
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Lundqvist J, Lindberg MS, Brattmyr M, Havnen A, Hjemdal O, Solem S. The Work and Social Adjustment Scale (WSAS): An investigation of reliability, validity, and associations with clinical characteristics in psychiatric outpatients. PLoS One 2024; 19:e0311420. [PMID: 39388411 PMCID: PMC11466382 DOI: 10.1371/journal.pone.0311420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 09/18/2024] [Indexed: 10/12/2024] Open
Abstract
OBJECTIVE This study, the first to assess the reliability and validity of the Work and Social Assessment Scale (WSAS) in Norwegian routine mental health care, examines differences in functional impairment based on sick leave status, psychiatric diagnosis, and sex. METHOD Including 3573 individuals from community mental health services (n1 = 1157) and a psychiatric outpatient clinic (n2 = 2416), exploratory factor analysis (EFA) on subsample 1 and confirmatory factor analysis (CFA) on subsample 2 were utilized to replicate the identified factor structure. RESULTS EFA supported a one-factor model, replicated by the CFA, with high internal consistency (α = .82, ω = .81). Patients on sick leave reported greater impairments in all aspects of functioning, except for relationships, with the largest effect size observed in the reported ability to work (d = .39). Psychiatric outpatients with major depressive disorder were associated with difficulties in home management, private leisure activities, and forming close relationships. Patients with attention-deficit/hyperactivity disorder reported less impairment than those with other disorders. Patients with personality disorders reported more relationship difficulties than those with PTSD, ADHD, and anxiety. No differences were found in the perceived ability to work between diagnoses. Women had a higher impairment in private leisure activities, whereas men reported more impairment in relationships. CONCLUSION The demonstrated reliability and validity suggest that WSAS is a valuable assessment tool in Norwegian routine mental health care. Variations in functional impairment across sick leave status, sex, and psychiatric diagnoses highlight the importance of integrating routine assessments of functional impairment into mental health care practices. Future research should combine WSAS with register data to allow for a broader understanding of treatment effectiveness, emphasizing improvements in functional outcomes alongside symptom alleviation.
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Affiliation(s)
- Jakob Lundqvist
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Martin Schevik Lindberg
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Mental Healthcare Services, Trondheim Municipality, Trondheim, Norway
| | - Martin Brattmyr
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Audun Havnen
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Division of Psychiatry, Nidaros Community Mental Health Centre, St. Olavs University Hospital, Trondheim, Norway
| | - Odin Hjemdal
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Stian Solem
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Kendrick T, Dowrick C, Lewis G, Moore M, Leydon GM, Geraghty AW, Griffiths G, Zhu S, Yao GL, May C, Gabbay M, Dewar-Haggart R, Williams S, Bui L, Thompson N, Bridewell L, Trapasso E, Patel T, McCarthy M, Khan N, Page H, Corcoran E, Hahn JS, Bird M, Logan MX, Ching BCF, Tiwari R, Hunt A, Stuart B. Depression follow-up monitoring with the PHQ-9: an open cluster-randomised controlled trial. Br J Gen Pract 2024; 74:e456-e465. [PMID: 38408790 PMCID: PMC11221421 DOI: 10.3399/bjgp.2023.0539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 02/19/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Outcome monitoring of depression treatment is recommended but there is a lack of evidence on patient benefit in primary care. AIM To test monitoring depression using the Patient Health Questionnaire (PHQ-9) with patient feedback. DESIGN AND SETTING An open cluster-randomised controlled trial was undertaken in 141 group practices. METHOD Adults with new depressive episodes were recruited through record searches and opportunistically. The exclusion criteria were as follows: dementia; psychosis; substance misuse; and suicide risk. The PHQ-9 was administered soon after diagnosis, and 10-35 days later. The primary outcome was the Beck Depression Inventory (BDI-II) score at 12 weeks. The secondary outcomes were as follows: BDI-II at 26 weeks; Work and Social Adjustment Scale (WSAS) and EuroQol EQ-5D-5L quality of life at 12 and 26 weeks; antidepressant treatment; mental health and social service contacts; adverse events, and Medical Interview Satisfaction Scale (MISS) over 26 weeks. RESULTS In total, 302 patients were recruited to the intervention arm and 227 to the controls. At 12 weeks, 254 (84.1%) and 199 (87.7%) were followed-up, respectively. Only 40.9% of patients in the intervention had a GP follow-up PHQ-9 recorded. There was no significant difference in BDI-II score at 12 weeks (mean difference -0.46; 95% confidence interval [CI] = -2.16 to 1.26; adjusted for baseline depression, baseline anxiety, sociodemographic factors, and clustering by practice). EQ-5D-5L quality-of-life scores were higher in the intervention arm at 26 weeks (adjusted mean difference 0.053; 95% CI = 0.013 to 0.093. A clinically significant difference in depression at 26 weeks could not be ruled out. No significant differences were found in social functioning, adverse events, or satisfaction. In a per-protocol analysis, antidepressant use and mental health contacts were significantly greater in patients in the intervention arm with a recorded follow-up PHQ-9 (P = 0.025 and P = 0.010, respectively). CONCLUSION No evidence was found of improved depression outcome at 12 weeks from monitoring. The findings of possible benefits over 26 weeks warrant replication, investigating possible mechanisms, preferably with automated delivery of monitoring and more instructive feedback.
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Affiliation(s)
- Tony Kendrick
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Christopher Dowrick
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Glyn Lewis
- Division of Psychiatry, University College London, London. Division of Psychiatry, University College London, London
| | - Michael Moore
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Geraldine M Leydon
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Adam Wa Geraghty
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Gareth Griffiths
- Southampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton
| | - Shihua Zhu
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Guiqing Lily Yao
- Leicester Clinical Trials Unit, University of Leicester, Leicester
| | - Carl May
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London
| | - Mark Gabbay
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Rachel Dewar-Haggart
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Samantha Williams
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Lien Bui
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Natalie Thompson
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Lauren Bridewell
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Emilia Trapasso
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Tasneem Patel
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Molly McCarthy
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Naila Khan
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Helen Page
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool
| | - Emma Corcoran
- Division of Psychiatry, University College London, London. Division of Psychiatry, University College London, London
| | - Jane Sungmin Hahn
- Division of Psychiatry, University College London, London. Division of Psychiatry, University College London, London
| | - Molly Bird
- Division of Psychiatry, University College London, London. Division of Psychiatry, University College London, London
| | - Mekeda X Logan
- Division of Psychiatry, University College London, London. Division of Psychiatry, University College London, London
| | - Brian Chi Fung Ching
- Division of Psychiatry, University College London, London. Division of Psychiatry, University College London, London
| | - Riya Tiwari
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Anna Hunt
- School of Primary Care, Population Science, and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton
| | - Beth Stuart
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London
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Kendrick T, Dowrick C, Lewis G, Moore M, Leydon GM, Geraghty AW, Griffiths G, Zhu S, Yao GL, May C, Gabbay M, Dewar-Haggart R, Williams S, Bui L, Thompson N, Bridewell L, Trapasso E, Patel T, McCarthy M, Khan N, Page H, Corcoran E, Hahn JS, Bird M, Logan MX, Ching BCF, Tiwari R, Hunt A, Stuart B. Patient-reported outcome measures for monitoring primary care patients with depression: the PROMDEP cluster RCT and economic evaluation. Health Technol Assess 2024; 28:1-95. [PMID: 38551155 PMCID: PMC11017630 DOI: 10.3310/plrq4216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Abstract
Background Guidelines on the management of depression recommend that practitioners use patient-reported outcome measures for the follow-up monitoring of symptoms, but there is a lack of evidence of benefit in terms of patient outcomes. Objective To test using the Patient Health Questionnaire-9 questionnaire as a patient-reported outcome measure for monitoring depression, training practitioners in interpreting scores and giving patients feedback. Design Parallel-group, cluster-randomised superiority trial; 1 : 1 allocation to intervention and control. Setting UK primary care (141 group general practices in England and Wales). Inclusion criteria Patients aged ≥ 18 years with a new episode of depressive disorder or symptoms, recruited mainly through medical record searches, plus opportunistically in consultations. Exclusions Current depression treatment, dementia, psychosis, substance misuse and risk of suicide. Intervention Administration of the Patient Health Questionnaire-9 questionnaire with patient feedback soon after diagnosis, and at follow-up 10-35 days later, compared with usual care. Primary outcome Beck Depression Inventory, 2nd edition, symptom scores at 12 weeks. Secondary outcomes Beck Depression Inventory, 2nd edition, scores at 26 weeks; antidepressant drug treatment and mental health service contacts; social functioning (Work and Social Adjustment Scale) and quality of life (EuroQol 5-Dimension, five-level) at 12 and 26 weeks; service use over 26 weeks to calculate NHS costs; patient satisfaction at 26 weeks (Medical Informant Satisfaction Scale); and adverse events. Sample size The original target sample of 676 patients recruited was reduced to 554 due to finding a significant correlation between baseline and follow-up values for the primary outcome measure. Randomisation Remote computerised randomisation with minimisation by recruiting university, small/large practice and urban/rural location. Blinding Blinding of participants was impossible given the open cluster design, but self-report outcome measures prevented observer bias. Analysis was blind to allocation. Analysis Linear mixed models were used, adjusted for baseline depression, baseline anxiety, sociodemographic factors, and clustering including practice as random effect. Quality of life and costs were analysed over 26 weeks. Qualitative interviews Practitioner and patient interviews were conducted to reflect on trial processes and use of the Patient Health Questionnaire-9 using the Normalization Process Theory framework. Results Three hundred and two patients were recruited in intervention arm practices and 227 patients were recruited in control practices. Primary outcome data were collected for 252 (83.4%) and 195 (85.9%), respectively. No significant difference in Beck Depression Inventory, 2nd edition, score was found at 12 weeks (adjusted mean difference -0.46, 95% confidence interval -2.16 to 1.26). Nor were significant differences found in Beck Depression Inventory, 2nd Edition, score at 26 weeks, social functioning, patient satisfaction or adverse events. EuroQol-5 Dimensions, five-level version, quality-of-life scores favoured the intervention arm at 26 weeks (adjusted mean difference 0.053, 95% confidence interval 0.013 to 0.093). However, quality-adjusted life-years over 26 weeks were not significantly greater (difference 0.0013, 95% confidence interval -0.0157 to 0.0182). Costs were lower in the intervention arm but, again, not significantly (-£163, 95% confidence interval -£349 to £28). Cost-effectiveness and cost-utility analyses, therefore, suggested that the intervention was dominant over usual care, but with considerable uncertainty around the point estimates. Patients valued using the Patient Health Questionnaire-9 to compare scores at baseline and follow-up, whereas practitioner views were more mixed, with some considering it too time-consuming. Conclusions We found no evidence of improved depression management or outcome at 12 weeks from using the Patient Health Questionnaire-9, but patients' quality of life was better at 26 weeks, perhaps because feedback of Patient Health Questionnaire-9 scores increased their awareness of improvement in their depression and reduced their anxiety. Further research in primary care should evaluate patient-reported outcome measures including anxiety symptoms, administered remotely, with algorithms delivering clear recommendations for changes in treatment. Study registration This study is registered as IRAS250225 and ISRCTN17299295. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/42/02) and is published in full in Health Technology Assessment; Vol. 28, No. 17. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Tony Kendrick
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Christopher Dowrick
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Glyn Lewis
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Michael Moore
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Geraldine M Leydon
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Adam Wa Geraghty
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Gareth Griffiths
- Southampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Shihua Zhu
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Guiqing Lily Yao
- Leicester Clinical Trials Unit, University of Leicester, Leicester, UK
| | - Carl May
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Mark Gabbay
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Rachel Dewar-Haggart
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Samantha Williams
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Lien Bui
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Natalie Thompson
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Lauren Bridewell
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Emilia Trapasso
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Tasneem Patel
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Molly McCarthy
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Naila Khan
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Helen Page
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Emma Corcoran
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Jane Sungmin Hahn
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Molly Bird
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Mekeda X Logan
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Brian Chi Fung Ching
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Riya Tiwari
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Anna Hunt
- School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK
| | - Beth Stuart
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
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Staab EM, Franco MI, Zhu M, Wan W, Gibbons RD, Vinci LM, Beckman N, Yohanna D, Laiteerapong N. Population Health Management Approach to Depression Symptom Monitoring in Primary Care via Patient Portal: A Randomized Controlled Trial. Am J Med Qual 2023; 38:188-195. [PMID: 37314235 DOI: 10.1097/jmq.0000000000000126] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Depression is undertreated in primary care. Using patient portals to administer regular symptom assessments could facilitate more timely care. At an urban academic medical center outpatient clinic, patients with active portal accounts and depression on their problem list or a positive screen in the past year were randomized to assessment during triage at visits (usual care) versus usual care plus assessment via portal (population health care). Portal invitations were sent regardless of whether patients had scheduled appointments. More patients completed assessments in the population health care arm than usual care: 59% versus 18%, P < 0.001. Depression symptoms were more common among patients who completed their initial assessment via the portal versus in the clinic. In the population health care arm, 57% (N = 80/140) of patients with moderate-to-severe symptoms completed at least 1 follow-up assessment versus 37% (N = 13/35) in usual care. A portal-based population health approach could improve depression monitoring in primary care.
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Affiliation(s)
- Erin M Staab
- Department of Medicine, University of Chicago, Chicago, IL
| | | | - Mengqi Zhu
- Department of Medicine, University of Chicago, Chicago, IL
| | - Wen Wan
- Department of Medicine, University of Chicago, Chicago, IL
| | - Robert D Gibbons
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Lisa M Vinci
- Department of Medicine, University of Chicago, Chicago, IL
| | - Nancy Beckman
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
| | - Daniel Yohanna
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
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Jamieson C, Popova V, Daly E, Cooper K, Drevets WC, Rozjabek HM, Singh J. Assessment of health-related quality of life and health status in patients with treatment-resistant depression treated with esketamine nasal spray plus an oral antidepressant. Health Qual Life Outcomes 2023; 21:40. [PMID: 37158911 PMCID: PMC10169482 DOI: 10.1186/s12955-023-02113-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 03/20/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Patients with treatment-resistant depression (TRD) report significant deficits in physical and mental health, as well as severely impaired health-related quality of life (HRQoL) and functioning. Esketamine effectively enhances the daily functioning in these patients while also improving their depressive symptoms. This study assessed HRQoL and health status of patients with TRD, who were treated with esketamine nasal spray and an oral antidepressant (ESK + AD) vs. placebo nasal spray and an AD (AD + PBO). METHODS Data from TRANSFORM-2, a phase 3, randomized, double-blind, short-term flexibly dosed study, were analyzed. Patients (aged 18-64 years) with TRD were included. The outcome assessments included the European Quality of Life Group, Five Dimension, Five Level (EQ-5D-5L), EQ-Visual Analogue Scale (EQ-VAS), and Sheehan Disability Scale (SDS). The health status index (HSI) was calculated using EQ-5D-5L scores. RESULTS The full analysis set included 223 patients (ESK + AD: 114; AD + PBO: 109; mean [SD] age: 45.7 [11.89]). At Day 28, a lower percentage of patients reported impairment in the ESK + AD vs. AD + PBO group in all five EQ-5D-5L dimensions: mobility (10.6% vs. 25.0%), self-care (13.5% vs. 32.0%), usual activities (51.9% vs. 72.0%), pain/discomfort (35.6% vs. 54.0%), and anxiety/depression (69.2% vs. 78.0%). The mean (SD) change from baseline in HSI at Day 28 was 0.310 (0.219) for ESK + AD and 0.235 (0.252) for AD + PBO, with a higher score reflecting better levels of health. The mean (SD) change from baseline in EQ-VAS score at Day 28 was greater in ESK + AD (31.1 [25.67]) vs. AD + PBO (22.1 [26.43]). The mean (SD) change in the SDS total score from baseline to Day 28 also favored ESK + AD (-13.6 [8.31]) vs. AD + PBO (-9.4 [8.43]). CONCLUSIONS Greater improvements in HRQoL and health status were observed among patients with TRD treated with ESK + AD vs. AD + PBO. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02418585.
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Affiliation(s)
- Carol Jamieson
- Janssen Research & Development, LLC, Milpitas, CA, 95035, USA.
| | | | - Ella Daly
- Janssen Scientific Affairs, LLC, Titusville, NJ, USA
| | | | | | | | - Jaskaran Singh
- Janssen Research & Development, LLC, Spring House, PA, USA
- Present Address: Neurocrine Biosciences, San Diego, CA, USA
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Rognstad K, Wentzel-Larsen T, Neumer SP, Kjøbli J. A Systematic Review and Meta-Analysis of Measurement Feedback Systems in Treatment for Common Mental Health Disorders. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2023; 50:269-282. [PMID: 36434313 PMCID: PMC9931854 DOI: 10.1007/s10488-022-01236-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 11/27/2022]
Abstract
To investigate the effects of measurement feedback systems (MFSs) in therapy on mental health outcomes through a literature review and meta-analysis. Using a three-level modeling approach, we conducted a meta-analysis of all effect sizes from randomized controlled studies of MFSs used in the treatment of common mental health disorders. Eighty-two effect sizes were extracted from the thirty-one included studies. Analyses were performed to consider the post-treatment effects of the MFS-assisted treatment compared to treatment as usual. A separate analysis was done for the subgroup "not-on-track" patients as it is theorized that MFSs will be clinically useful because they make therapists aware of patients who fail to progress. MFSs had a significant effect on mental health outcomes (d = 0.14, 95% CI [0.082-0.206], p < .001). Further analysis found a larger effect in patients identified as less respondent to therapy, the "not-on-track" group (d = 0.29, 95% CI [0.114, 0.464], p = .003). Moderation analyses indicated that the type of outcome measurement and type of feedback system used, and whether it was used for a child and youth or adult population, influenced effect sizes. MFSs seem to have a small positive effect on treatment outcomes. The effects seem to be larger for "not-on-track" patients, the group of patients that would usually not benefit much from treatment.
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Affiliation(s)
- Kristian Rognstad
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway.
- Department of Psychology, University of Oslo, Oslo, Norway.
| | - Tore Wentzel-Larsen
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Simon-Peter Neumer
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Regional Centre for Child and Youth Mental Health and Child Welfare, UIT The Arctic University of Norway, Tromsø, Norway
| | - John Kjøbli
- Regional Center for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway
- Department of Education, University of Oslo, Oslo, Norway
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McMorrow R, Hunter B, Hendrieckx C, Kwasnicka D, Speight J, Cussen L, Ho FCS, Emery J, Manski-Nankervis JA. Effect of routinely assessing and addressing depression and diabetes distress on clinical outcomes among adults with type 2 diabetes: a systematic review. BMJ Open 2022; 12:e054650. [PMID: 35613752 PMCID: PMC9134162 DOI: 10.1136/bmjopen-2021-054650] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES This study examined the effect of using patient-reported outcome measures (PROMs) routinely to assess and address depressive symptoms and diabetes distress among adults with type 2 diabetes. DESIGN A systematic review of published peer-reviewed studies. DATA SOURCES Medline, Embase, CINAHL Complete, PsycINFO, The Cochrane Library and Cochrane Central Register of Controlled Trials were searched. ELIGIBILITY CRITERIA Studies including adults with type 2 diabetes, published in English, from the inception of the databases to 24 February 2022 inclusive; and where the intervention included completion of a PROM of depressive symptoms and/or diabetes distress, with feedback of the responses to a healthcare professional. DATA EXTRACTION AND SYNTHESIS Using Covidence software, screening and risk of bias assessment were conducted by two reviewers independently with any disagreements resolved by a third reviewer. RESULTS The search identified 4512 citations, of which 163 full-text citations were assessed for eligibility, and nine studies met the inclusion criteria. Five studies involved assessment of depressive symptoms only, two studies assessed diabetes distress only, and two studies assessed both. All studies had an associated cointervention. When depressive symptoms were assessed (n=7), a statistically significant between-group difference in depressive symptoms was observed in five studies; with a clinically significant (>0.5%) between-group difference in HbA1c in two studies. When diabetes distress was assessed (n=4), one study demonstrated statistically significant difference in depressive symptoms and diabetes distress; with a clinically significant between-group difference in HbA1c observed in two studies. CONCLUSION Studies are sparse in which PROMs are used to assess and address depressive symptoms or diabetes distress during routine clinical care of adults with type 2 diabetes. Further research is warranted to understand how to integrate PROMs into clinical care efficiently and determine appropriate interventions to manage identified problem areas. PROSPERO REGISTRATION NUMBER CRD42020200246.
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Affiliation(s)
- Rita McMorrow
- Department of General Practice, The University of Melbourne, Melbourne, Victoria, Australia
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, The Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Barbara Hunter
- Department of General Practice, The University of Melbourne, Melbourne, Victoria, Australia
| | - Christel Hendrieckx
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Dominika Kwasnicka
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, The Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Warszaw, Poland
| | - Jane Speight
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Leanne Cussen
- Department of Endocrinology, Beaumont Hospital, Dublin, Ireland
| | - Felicia Ching Siew Ho
- Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jon Emery
- Department of General Practice, The University of Melbourne, Melbourne, Victoria, Australia
- Centre for Cancer Research, University of Melbourne, Melbourne, Victoria, Australia
| | - Jo-Anne Manski-Nankervis
- Department of General Practice, The University of Melbourne, Melbourne, Victoria, Australia
- NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, The Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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9
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Elfeky A, Treweek S, Hannes K, Bruhn H, Fraser C, Gillies K. Using qualitative methods in pilot and feasibility trials to inform recruitment and retention processes in full-scale randomised trials: a qualitative evidence synthesis. BMJ Open 2022; 12:e055521. [PMID: 35437247 PMCID: PMC9016401 DOI: 10.1136/bmjopen-2021-055521] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 03/28/2022] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES To systematically review published pretrial qualitative research studies and explore how their findings were used to inform recruitment and retention processes in full-scale trials. DESIGN Qualitative evidence synthesis using thematic analysis. DATA SOURCES AND ELIGIBILITY CRITERIA We conducted a comprehensive search of databases; Dissertation Abstracts International, CINAHL, Embase, MEDLINE, Sociological Abstracts and PsycINFO. We included all reports of pretrial qualitative data on recruitment and retention in clinical trials up to March 2018. DATA EXTRACTION AND SYNTHESIS Two authors independently extracted data using a predefined data extraction form that captured study aims, design, methodological approach and main findings, including barriers and facilitators to recruitment and or retention. The synthesis was undertaken using Thomas and Harden's thematic synthesis method and reported following the Enhancing Transparency in Reporting the Synthesis of Qualitative Research guidelines. Confidence was assessed using Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative research approach. RESULTS Thirty-five papers (connected to 31 feasibility studies) from three different countries, published between 2010 and 2017 were included. All studies were embedded in pilot or feasibility studies to inform design aspects in preparation for a subsequent full-scale trial. Twelve themes were identified as recruitment barriers and three as recruitment facilitators. Two themes were identified as barriers for retention and none as retention facilitators. The findings from qualitative research in feasibility or pilot trials are often not explicitly linked to proposed changes to the recruitment and retention strategies to be used in the future or planned full-scale trial. CONCLUSIONS Many trial teams do pretrial qualitative work with the aim of improving recruitment and retention in future full-scale trials. Just over half of all reports of such work do not clearly show how their findings will change the recruitment and retention strategy of the future trial. The scope of pretrial work needs to expand beyond looking for problems and also look for what might help and spend more time on retention.
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Affiliation(s)
- Adel Elfeky
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Shaun Treweek
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Karin Hannes
- Research Group SoMeTHin'K, Faculty of Social Sciences, KU Leuven, Leuven, Belgium
| | - Hanne Bruhn
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Cynthia Fraser
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Katie Gillies
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
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10
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Gibbons C, Porter I, Gonçalves-Bradley DC, Stoilov S, Ricci-Cabello I, Tsangaris E, Gangannagaripalli J, Davey A, Gibbons EJ, Kotzeva A, Evans J, van der Wees PJ, Kontopantelis E, Greenhalgh J, Bower P, Alonso J, Valderas JM. Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice. Cochrane Database Syst Rev 2021; 10:CD011589. [PMID: 34637526 PMCID: PMC8509115 DOI: 10.1002/14651858.cd011589.pub2] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Patient-reported outcomes measures (PROMs) assess a patient's subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback on PROMs can support decision-making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback. OBJECTIVES To assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient-reported health outcomes and processes of care. SEARCH METHODS We searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field. SELECTION CRITERIA Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information. DATA COLLECTION AND ANALYSIS Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta-analyses of the results where possible. MAIN RESULTS We identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies. The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias. The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient-physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI -0.17 to 0.24; 2 studies, 552 participants; low-certainty evidence), social functioning (SMD 0.02, 95% CI -0.06 to 0.09; 15 studies; 2632 participants; moderate-certainty evidence), and pain (SMD 0.00, 95% CI -0.09 to 0.08; 9 studies; 2386 participants; moderate-certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion. AUTHORS' CONCLUSIONS PROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high-quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.
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Affiliation(s)
| | - Ian Porter
- Health Services & Policy Research, University of Exeter Medical School, Exeter, UK
| | - Daniela C Gonçalves-Bradley
- Center for Health Technology and Services Research (CINTESIS), Porto, Portugal
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Stanimir Stoilov
- College of Medicine and Health, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Ignacio Ricci-Cabello
- Primary Care Research Unit, Instituto de Investigación Sanitaria Illes Balears, Palma de Mallorca, Spain
| | | | | | - Antoinette Davey
- Health Services and Policy Research Group, University of Exeter Medical School, Exeter, UK
| | - Elizabeth J Gibbons
- PROM Group, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anna Kotzeva
- Health Technology Assessment Department, Agency for Health Quality and Assessment of Catalonia (AQuAS), Barcelona, Spain
| | - Jonathan Evans
- Health Services and Policy Research Group, University of Exeter Medical School, Exeter, UK
| | - Philip J van der Wees
- Radboud University Medical Center, Radboud Institute for Health Sciences, Scientific Institute for Quality of Healthcare (IQ healthcare), Nijmegen, Netherlands
| | - Evangelos Kontopantelis
- Centre for Health Informatics, Institute of Population Health, The University of Manchester, Manchester, UK
| | - Joanne Greenhalgh
- School of Sociology and Social Policy, University of Leeds, Leeds, UK
| | - Peter Bower
- NIHR School for Primary Care Research, Manchester Academic Health Science Centre, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | - Jordi Alonso
- CIBER Epidemiologia y Salud Publica (CIBERESP), IMIM-Hospital del mar, Barcelona, Spain
| | - Jose M Valderas
- Health Services & Policy Research, Exeter Collaboration for Academic Primary Care (APEx), NIHR School for Primary Care Research, NIHR ARC South West Peninsula (PenARC), University of Exeter, Exeter, UK
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11
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Heissel A, Bollmann J, Kangas M, Abdulla K, Rapp M, Sanchez A. Validation of the German version of the work and social adjustment scale in a sample of depressed patients. BMC Health Serv Res 2021; 21:593. [PMID: 34154599 PMCID: PMC8218495 DOI: 10.1186/s12913-021-06622-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 05/21/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Depression is one of the key factors contributing to difficulties in one's ability to work, and serves as one of the major reasons why employees apply for psychotherapy and receive insurance subsidization of treatments. Hence, an increasing and growing number of studies rely on workability assessment scales as their primary outcome measure. The Work and Social Assessment Scale (WSAS) has been documented as one of the most psychometrically reliable and valid tools especially developed to assess workability and social functioning in patients with mental health problems. Yet, the application of the WSAS in Germany has been limited due to the paucity of a valid questionnaire in the German language. The objective of the present study was to translate the WSAS, as a brief and easy administrable tool into German and test its psychometric properties in a sample of adults with depression. METHODS Two hundred seventy-seven patients (M = 48.3 years, SD = 11.1) with mild to moderately severe depression were recruited. A multistep translation from English into the German language was performed and the factorial validity, criterion validity, convergent validity, discriminant validity, internal consistency, and floor and ceiling effects were examined. RESULTS The confirmatory factor analysis results confirmed the one-factor structure of the WSAS. Significant correlations with the WHODAS 2-0 questionnaire, a measure of functionality, demonstrated good convergent validity. Significant correlations with depression and quality of life demonstrated good criterion validity. The WSAS also demonstrated strong internal consistency (α = .89), and the absence of floor and ceiling effects indicated good sensitivity of the instrument. CONCLUSIONS The results of the present study demonstrated that the German version of the WSAS has good psychometric properties comparable to other international versions of this scale. The findings recommend a global assessment of psychosocial functioning with the sum score of the WSAS. TRIAL REGISTRATION ISRCTN identifier: ISRCTN28972230 . Date of registration June 26th 2018.
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Affiliation(s)
- A. Heissel
- Department of Sport and Health Sciences, Intra-faculty Cognition Sciences, Faculty of Human Science, and Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
| | - J. Bollmann
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
| | - M. Kangas
- Maria Kangas, Department of Psychology, Centre for Emotional Health, Macquarie University, Sydney, 2109 Australia
| | - K. Abdulla
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
| | - M. Rapp
- Department of Sport and Health Sciences, Intra-faculty Cognition Sciences, Faculty of Human Science, and Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
| | - A. Sanchez
- Social and Preventive Medicine, Department of Sports and Health Sciences, University of Potsdam, Potsdam, Germany
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12
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Hong RH, Murphy JK, Michalak EE, Chakrabarty T, Wang Z, Parikh SV, Culpepper L, Yatham LN, Lam RW, Chen J. Implementing Measurement-Based Care for Depression: Practical Solutions for Psychiatrists and Primary Care Physicians. Neuropsychiatr Dis Treat 2021; 17:79-90. [PMID: 33469295 PMCID: PMC7813452 DOI: 10.2147/ndt.s283731] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/24/2020] [Indexed: 12/15/2022] Open
Abstract
Measurement-based care (MBC) can be defined as the clinical practice in which care providers collect patient data through validated outcome scales and use the results to guide their decision-making processes. Despite growing evidence supporting the effectiveness of MBC for depression and other mental health conditions, many physicians and mental health clinicians have yet to adopt MBC practice. In part, this is due to individual and organizational barriers to implementing MBC in busy clinical settings. In this paper, we briefly review the evidence for the efficacy of MBC focusing on pharmacological management of depression and provide example clinical scenarios to illustrate its potential clinical utility in psychiatric settings. We discuss the barriers and challenges for MBC adoption and then address these by suggesting simple solutions to implement MBC for depression care, including recommended outcome scales, monitoring tools, and technology solutions such as cloud-based MBC services and mobile health apps for mood tracking. The availability of MBC tools, ranging from paper-pencil questionnaires to mobile health technology, can allow psychiatrists and clinicians in all types of practice settings to easily incorporate MBC into their practices and improve outcomes for their patients with depression.
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Affiliation(s)
- Ran Ha Hong
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Jill K Murphy
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Erin E Michalak
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Zuowei Wang
- Hongkou Mental Health Center, Shanghai, People’s Republic of China
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Larry Culpepper
- Department of Family Medicine, Boston University, Boston, MA, USA
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Jun Chen
- Shanghai Mental Health Center, Shanghai, People’s Republic of China
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13
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Affiliation(s)
- Tony Kendrick
- Primary Care and Population Sciences, University of Southampton, Southampton, UK
| | - Emma Maund
- Primary Care and Population Sciences, University of Southampton, Southampton, UK
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14
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Kendrick T, Moore M, Leydon G, Stuart B, Geraghty AWA, Yao G, Lewis G, Griffiths G, May C, Dewar-Haggart R, Williams S, Zhu S, Dowrick C. Patient-reported outcome measures for monitoring primary care patients with depression (PROMDEP): study protocol for a randomised controlled trial. Trials 2020; 21:441. [PMID: 32471492 PMCID: PMC7257549 DOI: 10.1186/s13063-020-04344-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 04/24/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Benefits to patients from reduced depression have been shown from monitoring progress with patient-reported outcome measures (PROMs) in psychological therapy and mental health settings. This approach has not yet been researched in the United Kingdom for primary care, which is where most people with depression are treated in the United Kingdom. METHODS This is a parallel-group cluster randomised trial with 1:1 allocation to intervention and control. Patients who are age 18+ years, with a new episode of depressive disorder/symptoms, meet the inclusion criteria. Patients with current depression treatment, comorbid dementia/psychosis/substance misuse/suicidal ideas are excluded. The intervention includes the Administration of Patient Health Questionnaire (PHQ-9) as a PROM within 2 weeks of diagnosis and at follow-up 4 weeks later. General practitioners are trained in interpreting scores and asked to take them into account in their treatment decisions. Patients are given written feedback on scores and suggested treatments. The primary outcome measure is Depression on the Beck Depression Inventory BDI-II at 12 weeks. Secondary outcomes include BDI-II at 26 weeks, changes in drug treatments and referrals, social functioning (Work & Social Adjustment Scale) and quality of life (EQ-5D) at 12 and 26 weeks, service use over 26 weeks (modified Client Services Receipt Inventory) to calculate NHS costs, and patient satisfaction at 26 weeks (Medical Informant Satisfaction Scale). The sample includes 676 total participants from 113 practices across three centres. Randomisation is achieved by computerised sequence generation. Blinding is impossible given the nature of the intervention (self-report outcome measures prevent rating bias). Differences at 12 and 26 weeks between intervention and controls in depression, social functioning and quality of life are analysed using linear mixed models, adjusted for socio-demographics, baseline depression, anxiety, and clustering, while including practice as a random effect. Patient satisfaction, quality of life (QALYs) and costs over 26 weeks will be compared between arms. Qualitative process analysis includes interviews with 15-20 GP/NPs and 15-20 patients per arm to reflect trial results and implementation issues, using Normalization Process Theory as a theoretical framework. DISCUSSION If PROMs are helpful in improving patient outcomes for depression even to a small extent, then they are likely to be good value for money, given their low cost. The benefits could be considerable, given that depression is common, disabling, and costly. TRIAL REGISTRATION ISRCTN no: 17299295. Registered 1st October 2018.
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Affiliation(s)
- Tony Kendrick
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK.
| | - Michael Moore
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Geraldine Leydon
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Beth Stuart
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Adam W A Geraghty
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Guiqing Yao
- Department of Health Sciences, University of Leicester, George Davies Centre, University Road Leicester, Leicester, LE1 7RH, UK
| | - Glyn Lewis
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Rd, London, W1T 7NF, UK
| | - Gareth Griffiths
- Southampton Clinical Trials Unit, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Carl May
- Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
| | - Rachel Dewar-Haggart
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Samantha Williams
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Shihua Zhu
- Primary Care, Population Sciences, and Medical Education, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - Christopher Dowrick
- Institute of Psychology Health and Society, University of Liverpool, Liverpool, L69 3GL, UK
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