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Janssen NP, Hendriks GJ, Sens R, Lucassen P, Oude Voshaar RC, Ekers D, van Marwijk H, Spijker J, Bosmans JE. Cost-effectiveness of behavioral activation compared to treatment as usual for depressed older adults in primary care: A cluster randomized controlled trial. J Affect Disord 2024; 350:665-672. [PMID: 38244792 DOI: 10.1016/j.jad.2024.01.109] [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] [Received: 05/23/2023] [Revised: 12/23/2023] [Accepted: 01/09/2024] [Indexed: 01/22/2024]
Abstract
INTRODUCTION Depression in older adults is associated with decreased quality of life and increased utilization of healthcare services. Behavioral activation (BA) is an effective treatment for late-life depression, but the cost-effectiveness compared to treatment as usual (TAU) is unknown. METHODS An economic evaluation was performed alongside a cluster randomized controlled multicenter trial including 161 older adults (≥65 years) with moderate to severe depressive symptoms (PHQ-9 ≥ 10). Outcome measures were depression (response on the QIDS-SR), quality-adjusted life-years (QALYs) and societal costs. Missing data were imputed using multiple imputation. Cost and effect differences were estimated using bivariate linear regression models, and statistical uncertainty was estimated with bootstrapping. Cost-effectiveness acceptability curves showed the probability of cost-effectiveness at different ceiling ratios. RESULTS Societal costs were statistically non-significantly lower in BA compared to TAU (mean difference (MD) -€485, 95 % CI -3861 to 2792). There were no significant differences in response on the QIDS-SR (MD 0.085, 95 % CI -0.015 to 0.19), and QALYs (MD 0.026, 95 % CI -0.0037 to 0.055). On average, BA was dominant over TAU (i.e., more effective and less expensive), although the probability of dominance was only 0.60 from the societal perspective and 0.85 from the health care perspective for both QIDS-SR response and QALYs. DISCUSSION Although the results suggest that BA is dominant over TAU, there was considerable uncertainty surrounding the cost-effectiveness estimates which precludes firm conclusions.
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Affiliation(s)
- Noortje P Janssen
- Behavioural Science Institute, Radboud University, 6525 XZ Nijmegen, the Netherlands; Department of Primary and Community Care, Research Institute of Health Sciences, Radboud University Medical Centre Nijmegen, 6525 EZ Nijmegen, the Netherlands; Institute for Integrated Mental Health Care Pro Persona, 6525 DX Nijmegen, the Netherlands.
| | - Gert-Jan Hendriks
- Behavioural Science Institute, Radboud University, 6525 XZ Nijmegen, the Netherlands; Institute for Integrated Mental Health Care Pro Persona, 6525 DX Nijmegen, the Netherlands
| | - Renate Sens
- Department of Health Sciences, VU University, 1081 HV Amsterdam, the Netherlands
| | - Peter Lucassen
- Department of Primary and Community Care, Research Institute of Health Sciences, Radboud University Medical Centre Nijmegen, 6525 EZ Nijmegen, the Netherlands
| | - Richard C Oude Voshaar
- University of Groningen, Department of Psychiatry, University Medical Centre Groningen, 9713 GZ Groningen, the Netherlands
| | - David Ekers
- Mental Health and Addictions Research Group, Tees Esk and Wear Valleys NHS FT/University of York, TS60SZ York, UK
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, BN1 9PH Brighton, United Kingdom
| | - Jan Spijker
- Behavioural Science Institute, Radboud University, 6525 XZ Nijmegen, the Netherlands; Institute for Integrated Mental Health Care Pro Persona, 6525 DX Nijmegen, the Netherlands
| | - Judith E Bosmans
- Department of Health Sciences, VU University, 1081 HV Amsterdam, the Netherlands
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Ikhile D, Ford E, Glass D, Gremesty G, van Marwijk H. A systematic review of risk factors associated with depression and anxiety in cancer patients. PLoS One 2024; 19:e0296892. [PMID: 38551956 PMCID: PMC10980245 DOI: 10.1371/journal.pone.0296892] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 12/18/2023] [Indexed: 04/01/2024] Open
Abstract
Depression and anxiety are common comorbid conditions associated with cancer, however the risk factors responsible for the onset of depression and anxiety in cancer patients are not fully understood. Also, there is little clarity on how these factors may vary across the cancer phases: diagnosis, treatment and depression. We aimed to systematically understand and synthesise the risk factors associated with depression and anxiety during cancer diagnosis, treatment and survivorship. We focused our review on primary and community settings as these are likely settings where longer term cancer care is provided. We conducted a systematic search on PubMed, PsychInfo, Scopus, and EThOS following the PRISMA guidelines. We included cross-sectional and longitudinal studies which assessed the risk factors for depression and anxiety in adult cancer patients. Quality assessment was undertaken using the Newcastle-Ottawa assessment checklists. The quality of each study was further rated using the Agency for Healthcare Research and Quality Standards. Our search yielded 2645 papers, 21 of these were eligible for inclusion. Studies were heterogenous in terms of their characteristics, risk factors and outcomes measured. A total of 32 risk factors were associated with depression and anxiety. We clustered these risk factors into four domains using an expanded biopsychosocial model of health: cancer-specific, biological, psychological and social risk factors. The cancer-specific risk factors domain was associated with the diagnosis, treatment and survivorship phases. Multifactorial risk factors are associated with the onset of depression and anxiety in cancer patients. These risk factors vary across cancer journey and depend on factors such as type of cancer and individual profile of the patients. Our findings have potential applications for risk stratification in primary care and highlight the need for a personalised approach to psychological care provision, as part of cancer care.
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Affiliation(s)
- Deborah Ikhile
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Devyn Glass
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Georgie Gremesty
- National Institute for Health and Care Research Applied Research Collaboration Kent, Surrey and Sussex, Hove, United Kingdom
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
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Geraghty AWA, Holt S, Chew-Graham CA, Santer M, Moore M, Kendrick T, Terluin B, Little P, Stuart B, Mistry M, Richards A, Smith D, Newman S, Rathod S, Bowers H, van Marwijk H. Distinguishing emotional distress from mental disorder: A qualitative exploration of the Four-Dimensional Symptom Questionnaire (4DSQ). Br J Gen Pract 2024:BJGP.2023.0574. [PMID: 38499297 DOI: 10.3399/bjgp.2023.0574] [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] [Received: 10/31/2023] [Accepted: 03/11/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND Primary care clinicians see people experiencing the full range of mental health problems. Determining when symptoms reflect disorder is complex. The Four-Dimensional Symptom Questionnaire (4DSQ) uniquely distinguishes general distress from depressive and anxiety disorders. It may support diagnostic conversations and targeting of treatment. AIM We aimed to explore peoples' experiences of completing the 4DSQ and their perceptions of their resulting score profile across distress, depression, anxiety and physical symptoms. DESIGN AND SETTING A qualitative study conducted in the UK with people recruited from primary care and community settings. METHOD Participants completed the 4DSQ then took part in semi-structured telephone interviews. They were interviewed about their experience of completing the 4DSQ, their perceptions of their scores across four dimensions, and the perceived utility if used with a clinician. Interviews were transcribed verbatim and data were analysed thematically. RESULTS Twenty-four interviews were conducted. Most participants found the 4DSQ easy to complete and reported that scores across the four dimensions aligned well with their symptom experience. Distinct scores for distress, depression and anxiety appeared to support improved self-understanding. Some valued the opportunity to discuss their scores and provide relevant context. Many felt the use of the 4DSQ with clinicians would be helpful and likely to support treatment decisions, although some were concerned about time-limited consultations. CONCLUSION Distinguishing general distress from depressive and anxiety disorders aligned well with people's experience of symptoms. Use of the 4DSQ as part of mental health consultations may support targeting of treatment and personalisation of care.
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Affiliation(s)
- Adam W A Geraghty
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Sian Holt
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Carolyn A Chew-Graham
- Keele University, Research Institute, Primary Care and Health Sciences, Keele, United Kingdom
- Midlands Partnership Foundation Trust
| | - Miriam Santer
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Michael Moore
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Tony Kendrick
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | | | - Paul Little
- University of Southampton, Primary Care Research Centre, Southampton, United Kingdom
| | - Beth Stuart
- Queen Mary University of London, London, United Kingdom
| | - Manoj Mistry
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Al Richards
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Debs Smith
- Cardiff University, Wales COVID-19 Evidence Centre, Division of Population Medicine, Cardiff, United Kingdom
| | - Sonia Newman
- University of Southampton, Primary Care and Population Sciences, Southampton, United Kingdom
| | - Shanaya Rathod
- Southern Health NHS Foundation Trust, Southampton, United Kingdom
| | - Hannah Bowers
- University of Southampton, Southampton, United Kingdom
| | - Harm van Marwijk
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
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Aslan A, Mold F, van Marwijk H, Armes J. What are the determinants of older people adopting communicative e-health services: a meta-ethnography. BMC Health Serv Res 2024; 24:60. [PMID: 38212713 PMCID: PMC10785477 DOI: 10.1186/s12913-023-10372-3] [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] [Received: 03/24/2023] [Accepted: 11/23/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Gradually, society has shifted more services online, with COVID-19 highlighting digital inequalities in access to services such as healthcare. Older adults can experience such digital inequalities, yet this group is also more likely to need medical appointments, compared to younger people. With the growing digitalisation of healthcare, it is increasingly important to understand how older people can best use communicative e-health services to interact with healthcare services. This is especially if older adults are to access, and actively interact with health professionals/clinicians due to their general health decline. This review aims to synthesise older adults' experiences and perceptions of communicative e-health services and, in turn, identify barriers and facilitators to using communicative e-health services. METHODS A meta-ethnography was conducted to qualitatively synthesise literature on older adults' experiences of using communicative e-health services. A systematic search, with terms relating to 'older adults', 'e-health', 'technology', and 'communication', was conducted on six international databases between January 2014 and May 2022. The search yielded a total of 10 empirical studies for synthesis. RESULTS The synthesis resulted in 10 themes that may impact older adults' perceptions and/or experiences of using communicative e-health services. These were: 1) health barriers, 2) support networks, 3) application interface/design, 4) digital literacy, 5) lack of awareness, 6) online security, 7) access to digital devices and the internet, 8) relationship with healthcare provider(s), 9) in-person preference and 10) convenience. These themes interlink with each other. CONCLUSION The findings suggest older adults' experiences and perceptions of communicative e-health services are generally negative, with many reporting various barriers to engaging with online services. However, many of these negative experiences are related to limited support networks and low digital literacy, along with complicated application interfaces. This supports previous literature identifying barriers and facilitators in which older adults experience general technology adoption and suggests a greater emphasis is needed on providing support networks to increase the adoption and usage of communicative e-health services.
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Affiliation(s)
- Ayse Aslan
- School of Health Sciences, University of Surrey, Guildford, UK.
| | - Freda Mold
- School of Health Sciences, University of Surrey, Guildford, UK
| | | | - Jo Armes
- School of Health Sciences, University of Surrey, Guildford, UK
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Goulding R, Birtwell K, Hann M, Peters S, van Marwijk H, Bower P. Safer Patients Empowered to Engage and Communicate about Health (SPEECH) in primary care: a feasibility study and process evaluation of an intervention for older people with multiple long-term conditions (multimorbidity). BMC Prim Care 2024; 25:12. [PMID: 38178010 PMCID: PMC10768368 DOI: 10.1186/s12875-023-02221-3] [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: 06/26/2023] [Accepted: 11/22/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Older people with multiple long-term conditions (multimorbidity) (MLTC-M) experience difficulties accessing and interacting with health and care services. Breakdowns in communication between patients and staff can threaten patient safety. To improve communication and reduce risks to patient safety in primary care, we developed an intervention: Safer Patients Empowered to Engage and Communicate about Health (SPEECH). SPEECH comprises a booklet for patients and an associated guide for staff. The booklet is designed to provide patients with information about staff and services, skills to prepare and explain, and confidence to speak up and ask. METHODS A single-arm mixed methods feasibility study with embedded process evaluation. General practices in the North West of England were recruited. Participating practices invited patients aged 65+ with MLTC-M who had an appointment scheduled during the study period. Patients were asked to complete questionnaires at baseline and follow-up (four to eight weeks after being sent the patient booklet), including the Consultation and Relational Empathy measure, Empowerment Scale, Multimorbidity Treatment Burden Questionnaire, and Primary Care Patient Measure of Safety. Staff completed questionnaires at the end of the study period. A sub-sample of patients and staff were interviewed about the study processes and intervention. Patients and the public were involved in all aspects of the study, from generation of the initial idea to interpretation of findings. RESULTS Our target of four general practices were recruited within 50 days of the study information being sent out. A fifth practice was recruited later to boost patient recruitment. We received expressions of interest from 55 patients (approx. 12% of those invited). Our target of 40 patient participants completed baseline questionnaires and were sent the SPEECH booklet. Of these, 38 (95%) completed follow-up. Patients found the intervention and study processes acceptable, and staff found the intervention acceptable and feasible to deliver. CONCLUSIONS Our findings suggest the intervention is acceptable, and it would be feasible to deliver a trial to assess effectiveness. Prior to further evaluation, study processes and the intervention will be updated to incorporate suggestions from participants. TRIAL REGISTRATION The study was registered on the ISRCTN registry (ISRCTN13196605: https://doi.org/10.1186/ISRCTN13196605 ).
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Affiliation(s)
- Rebecca Goulding
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, School of Health Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, England.
| | - Kelly Birtwell
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, School of Health Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, England.
| | - Mark Hann
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, School of Health Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, England
| | - Sarah Peters
- Manchester Centre for Health Psychology, School of Health Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, England
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Watson Building, Brighton, England
| | - Peter Bower
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, School of Health Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, England
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Ikhile D, Glass D, Frere‐Smith K, Fraser S, Turner K, Ramji H, Gremesty G, Ford E, van Marwijk H. A virtuous cycle of co-production: Reflections from a community priority-setting exercise. Health Expect 2023; 26:2514-2524. [PMID: 37602918 PMCID: PMC10632611 DOI: 10.1111/hex.13851] [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] [Received: 03/30/2023] [Revised: 08/03/2023] [Accepted: 08/05/2023] [Indexed: 08/22/2023] Open
Abstract
INTRODUCTION Co-production is gaining increasing recognition as a good way of facilitating collaboration among different stakeholders, including members of the public. However, it remains an ambiguous concept as there is no definitive or universal model of co-production or clarity on what constitutes a good co-production approach. This paper draws on the reflections of the academic researchers, practitioners and public advisors involved in co-producing a priority-setting exercise. The exercise was conducted by the Primary and Community Health Services (PCHS) Theme of the National Institute for Health and Care Research Applied Research Collaboration for Kent, Surrey and Sussex (NIHR ARC KSS). METHODS We collected data through written and verbal reflections from seven collaborators involved in the PCHS priority-setting exercise. We used Gibbs' model of reflection to guide the data collection. We then analysed the data through an inductive, reflexive thematic analysis. RESULTS A common thread through our reflections was the concept of 'sharing'. Although co-production is inherently shared, we used the virtuous cycle to illustrate a sequence of sharing concepts during the research cycle, which provides the underpinnings of positive co-production outcomes. We identified six themes to denote the iterative process of a shared approach within the virtuous cycle: shared values, shared understanding, shared power, shared responsibilities, shared ownership and positive outcomes. CONCLUSION Our results present a virtuous cycle of co-production, which furthers the conceptual underpinnings of co-production. Through our reflections, we propose that positive co-production outcomes require foundations of shared values and a shared understanding of co-production as a concept. These foundations facilitate a process of shared power, shared responsibilities and shared ownership. We argue that when these elements are present in a co-production exercise, there is a greater potential for implementable outcomes in the communities in which the research serves and the empowerment of collaborators involved in the co-production process. PUBLIC MEMBERS' CONTRIBUTIONS Three members of the public who are public advisors in the NIHR ARC KSS were involved in the priority-setting exercise that informed this paper. The public advisors were involved in the design of the priority-setting exercise and supported participants' recruitment. They also co-facilitated the focus groups during data collection and were involved in the data analysis, interpretation and preparation of the priority-setting report. For this current manuscript, two of them are co-authors. They provided reflections and contributed to the writing and reviewing of this manuscript.
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Affiliation(s)
- Deborah Ikhile
- Department of Primary Care and Public HealthBrighton and Sussex Medical School, University of SussexBrightonUK
| | - Devyn Glass
- Department of Primary Care and Public HealthBrighton and Sussex Medical School, University of SussexBrightonUK
| | - Kat Frere‐Smith
- Department of Primary Care and Public HealthBrighton and Sussex Medical School, University of SussexBrightonUK
| | - Sam Fraser
- Academic Health Science Network for Kent, Surrey and SussexSurreyUK
| | - Keith Turner
- Primary Care and Community Health Services, NIHR ARC KSS (Applied Research Collaboration Kent, Surrey, and Sussex)SurreyUK
| | - Hasu Ramji
- Primary Care and Community Health Services, NIHR ARC KSS (Applied Research Collaboration Kent, Surrey, and Sussex)SurreyUK
| | - Georgie Gremesty
- National Institute for Health and Care Research Applied Research Collaboration for Kent, Surrey and Sussex (NIHR ARC KSS)SurreyUK
| | - Elizabeth Ford
- Department of Primary Care and Public HealthBrighton and Sussex Medical School, University of SussexBrightonUK
| | - Harm van Marwijk
- Department of Primary Care and Public HealthBrighton and Sussex Medical School, University of SussexBrightonUK
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Rogers I, Grice-Jackson T, Ford E, Howat J, Salimkumar R, Frere-Smith K, O’Connor N, Bastiaens H, van Marwijk H. The Healthy Hearts Project: Development and evaluation of a website for cardiovascular risk assessment and visualisation and self-management through healthy lifestyle goal-setting. PLOS Digit Health 2023; 2:e0000395. [PMID: 38019808 PMCID: PMC10686463 DOI: 10.1371/journal.pdig.0000395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023]
Abstract
Materially deprived communities in the UK have excess morbidity and mortality from cardiovascular disease (CVD) but are less likely to engage with formal care pathways. Community engagement and e-health may be more effective ways to promote risk-reducing lifestyle change. The "Healthy Hearts Project" website was designed for use by community health workers (CHWs) for cardiovascular risk assessment and lifestyle goal setting, or for independent use by community members. This paper describes the website's development and evaluation. The website was developed using interactive wire frame prototypes in a user-led approach. Qualitative evaluation of the completed website's usability and acceptability was conducted using the "Thinking Aloud" method in a purposive sample of 10 participants (one voluntary sector employee, three CHWs, two community members and four healthcare professionals). Thinking Aloud interview transcripts were thematically analysed using an inductive approach. A separate quantitative evaluation of usability and the effect of using the website on CVD knowledge and beliefs was conducted. A random sample of 134 participants, recruited using the online platform Prolific, completed the "Attitudes and Beliefs About Cardiovascular Disease" (ABCD) questionnaire before and after using the website, along with the System Usability Scale (SUS). Qualitative evaluation-Four key themes were identified: 1) Website functionality and design-participants generally found the website easy to use and understood the risk communication graphics and the feedback and goal-setting features,; 2) Inclusivity and representation-most participants considered the website inclusive of a range of users/cultures; 3) Language and comprehension-participants found the language used easy to understand but suggested reducing the amount of text; 4) Motivation and barriers to change-participants liked the personalized feedback and empowerment offered by goal-setting but commented on the need for self-motivation. Quantitative evaluation-The mean score across all domains of the ABCD questionnaire (from 2.99 to 3.11, p<0.001) and in the sub-domains relating to attitudes and beliefs around healthy eating and exercise increased after using the website. The mean(sd) score on the SUS was 77.5 (13.5). The website's usability was generally rated well by both quantitative and qualitative measures, and measures of CVD knowledge improved after use. A number of general recommendations for the design of eHealth behaviour change tools are made based on participants' suggestions to improve the website.
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Affiliation(s)
- Imogen Rogers
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Tom Grice-Jackson
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
| | - John Howat
- Brighton and Sussex Medical School, Brighton, United Kingdom
| | | | - Kat Frere-Smith
- Centre for Health Services Studies, University of Kent, Canterbury, United Kingdom
| | | | - Hilde Bastiaens
- Department of Primary and Interdisciplinary Care, Universiteit Antwerpen, Antwerp, Belgium
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
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Lingervelder D, Koffijberg H, Emery JD, Fennessy P, Price CP, van Marwijk H, Eide TB, Sandberg S, Cals JW, Derksen JT, Kusters R, IJzerman MJ. How to Realize the Benefits of Point-of-Care Testing at the General Practice: A Comparison of Four High-Income Countries. Int J Health Policy Manag 2022; 11:2248-2260. [PMID: 34814677 PMCID: PMC9808289 DOI: 10.34172/ijhpm.2021.143] [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] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 10/12/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND In some countries, such as the Netherlands and Norway, point-of-care testing (POCT) is more widely implemented in general practice compared to countries such as England and Australia. To comprehend what is necessary to realize the benefits of POCT, regarding its integration in primary care, it would be beneficial to have an overview of the structure of healthcare operations and the transactions between stakeholders (also referred to as value networks). The aim of this paper is to identify the current value networks in place applying to POCT implementation at general practices in England, Australia, Norway and the Netherlands and to compare these networks in terms of seven previously published factors that support the successful implementation, sustainability and scale-up of innovations. METHODS The value networks were described based on formal guidelines and standards published by the respective governments, organizational bodies and affiliates. The value network of each country was validated by at least two relevant stakeholders from the respective country. RESULTS The analysis revealed that the biggest challenge for countries with low POCT uptake was the lack of effective communication between the several organizations involved with POCT as well as the high workload for general practitioners (GPs) aiming to implement POCT. It is observed that countries with a single national authority responsible for POCT have a better uptake as they can govern the task of POCT roll-out and management and reduce the workload for GPs by assisting with set-up, quality control, training and support. CONCLUSION Setting up a single national authority may be an effective step towards realizing the full benefits of POCT. Although it is possible for day-to-day operations to fall under the responsibility of the GP, this is only feasible if support and guidance are readily available to ensure that the workload associated with POCT is limited and as low as possible.
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Affiliation(s)
- Deon Lingervelder
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Hendrik Koffijberg
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Jon D. Emery
- Department of General Practice and Centre for Cancer Research, University of Melbourne, Melbourne, VIC, Australia
| | - Paul Fennessy
- Department of Health & Human Services, State Government of Victoria, Melbourne, VIC, Australia
| | - Christopher P. Price
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Sussex, Falmer, UK
| | - Torunn B. Eide
- Department of General Practice, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Sverre Sandberg
- The Norwegian Organisation for Quality Improvement of Laboratory Examinations (NOKLUS), Haraldsplass Deaconess Hospital, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Norwegian Porphyria Centre, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Jochen W.L. Cals
- Department of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | | | - Ron Kusters
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands
- Laboratory for Clinical Chemistry and Haematology, Jeroen Bosch Hospital, ‘s-Hertogenbosch, The Netherlands
| | - Maarten J. IJzerman
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands
- Cancer Health Services Research, School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
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Hodkinson A, Kontopantelis E, Zghebi SS, Grigoroglou C, McMillan B, Marwijk HV, Bower P, Tsimpida D, Emery CF, Burge MR, Esmiol H, Cupples ME, Tully MA, Dasgupta K, Daskalopoulou SS, Cooke AB, Fayehun AF, Houle J, Poirier P, Yates T, Henson J, Anderson DR, Grey EB, Panagioti M. Association Between Patient Factors and the Effectiveness of Wearable Trackers at Increasing the Number of Steps per Day Among Adults With Cardiometabolic Conditions: Meta-analysis of Individual Patient Data From Randomized Controlled Trials. J Med Internet Res 2022; 24:e36337. [PMID: 36040779 PMCID: PMC9472038 DOI: 10.2196/36337] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/14/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Current evidence supports the use of wearable trackers by people with cardiometabolic conditions. However, as the health benefits are small and confounded by heterogeneity, there remains uncertainty as to which patient groups are most helped by wearable trackers. OBJECTIVE This study examined the effects of wearable trackers in patients with cardiometabolic conditions to identify subgroups of patients who most benefited and to understand interventional differences. METHODS We obtained individual participant data from randomized controlled trials of wearable trackers that were conducted before December 2020 and measured steps per day as the primary outcome in participants with cardiometabolic conditions including diabetes, overweight or obesity, and cardiovascular disease. We used statistical models to account for clustering of participants within trials and heterogeneity across trials to estimate mean differences with the 95% CI. RESULTS Individual participant data were obtained from 9 of 25 eligible randomized controlled trials, which included 1481 of 3178 (47%) total participants. The wearable trackers revealed that over the median duration of 12 weeks, steps per day increased by 1656 (95% CI 918-2395), a significant change. Greater increases in steps per day from interventions using wearable trackers were observed in men (interaction coefficient -668, 95% CI -1157 to -180), patients in age categories over 50 years (50-59 years: interaction coefficient 1175, 95% CI 377-1973; 60-69 years: interaction coefficient 981, 95% CI 222-1740; 70-90 years: interaction coefficient 1060, 95% CI 200-1920), White patients (interaction coefficient 995, 95% CI 360-1631), and patients with fewer comorbidities (interaction coefficient -517, 95% CI -1188 to -11) compared to women, those aged below 50, non-White patients, and patients with multimorbidity. In terms of interventional differences, only face-to-face delivery of the tracker impacted the effectiveness of the interventions by increasing steps per day. CONCLUSIONS In patients with cardiometabolic conditions, interventions using wearable trackers to improve steps per day mostly benefited older White men without multimorbidity. TRIAL REGISTRATION PROSPERO CRD42019143012; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=143012.
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Affiliation(s)
- Alexander Hodkinson
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
| | - Evangelos Kontopantelis
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom.,Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, United Kingdom
| | - Salwa S Zghebi
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
| | - Christos Grigoroglou
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
| | - Brian McMillan
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, United Kingdom
| | - Peter Bower
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
| | - Dialechti Tsimpida
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
| | - Charles F Emery
- Department of Psychology, The Ohio State University College of Arts and Sciences, Columbus, OH, United States
| | - Mark R Burge
- Department of Medicine, Endocrinology and Metabolism, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Hunter Esmiol
- Department of Medicine, Endocrinology and Metabolism, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Margaret E Cupples
- Department of General Practice and Primary Care, Centre for Public Heath, Queen's University Belfast, Belfast, United Kingdom
| | - Mark A Tully
- School of Medicine, Ulster University, Londonderry, United Kingdom
| | - Kaberi Dasgupta
- Department of Medicine, McGill University, Montreal, QC, Canada.,Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Stella S Daskalopoulou
- Department of Medicine, McGill University, Montreal, QC, Canada.,Centre for Translational Biology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | | | - Ayorinde F Fayehun
- Department of Family Medicine, University College Hospital, Ibadan, Nigeria
| | - Julie Houle
- Department of Nursing, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Paul Poirier
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Laval, QC, Canada
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
| | - Joseph Henson
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
| | - Derek R Anderson
- Department of Psychology, The Ohio State University College of Arts and Sciences, Columbus, OH, United States
| | - Elisabeth B Grey
- Centre for Motivation and Health Behaviour Change, Department for Health, University of Bath, Bath, United Kingdom
| | - Maria Panagioti
- Division of Population Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Health Services Research and Primary Care, National Institute for Health Research School for Primary Care Research, Manchester, United Kingdom
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10
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Alharbi K, Blakeman T, van Marwijk H, Reeves D, Tsang JY. Understanding the implementation of interventions to improve the management of frailty in primary care: a rapid realist review. BMJ Open 2022; 12:e054780. [PMID: 35649605 PMCID: PMC9161080 DOI: 10.1136/bmjopen-2021-054780] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 01/24/2022] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE Identifying and managing the needs of frail people in the community is an increasing priority for policy makers. We sought to identify factors that enable or constrain the implementation of interventions for frail older persons in primary care. DESIGN A rapid realist review. DATA SOURCES Cochrane Library, SCOPUS and EMBASE, and grey literature. The search was conducted in September 2019 and rerun on 8 January 2022. ELIGIBILITY CRITERIA FOR SELECTING STUDIES We considered all types of empirical studies describing interventions targeting frailty in primary care. ANALYSIS We followed the Realist and Meta-narrative Evidence Syntheses: Evolving Standards quality and publication criteria for our synthesis to systematically analyse and synthesise the existing literature and to identify (intervention-context-mechanism-outcome) configurations. We used normalisation processes theory to illuminate mechanisms surrounding implementation. RESULTS Our primary research returned 1755 articles, narrowed down to 29 relevant frailty intervention studies conducted in primary care. Our review identified two families of interventions. They comprised: (1) interventions aimed at the comprehensive assessment and management of frailty needs; and (2) interventions targeting specific frailty needs. Key factors that facilitate or inhibit the translation of frailty interventions into practice related to the distribution of resources; patient engagement and professional skill sets to address identified need. CONCLUSION There remain challenges to achieving successful implementation of frailty interventions in primary care. There were a key learning points under each family. First, targeted allocation of resources to address specific needs allows a greater alignment of skill sets and reduces overassessment of frail individuals. Second, earlier patient involvement may also improve intervention implementation and adherence. PROSPERO REGISTRATION NUMBER The published protocol for the review is registered with PROSPERO (CRD42019161193).
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Affiliation(s)
- Khulud Alharbi
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Thomas Blakeman
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, UK
| | - Harm van Marwijk
- Division of Primary Care and Public Health, University of Brighton, Falmer, UK
- Brighton and Sussex Medical School, Brighton, UK
| | - David Reeves
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, UK
| | - Jung Yin Tsang
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, UK
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11
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Hafdi M, Eggink E, Hoevenaar-Blom MP, Witvliet MP, Andrieu S, Barnes L, Brayne C, Brooks R, Coley N, Georges J, van der Groep A, van Marwijk H, van der Meijden M, Song L, Song M, Wang Y, Wang W, Wang W, Wimo A, Ye X, Moll van Charante EP, Richard E. Design and Development of a Mobile Health (mHealth) Platform for Dementia Prevention in the Prevention of Dementia by Mobile Phone Applications (PRODEMOS) Project. Front Neurol 2021; 12:733878. [PMID: 34975710 PMCID: PMC8716458 DOI: 10.3389/fneur.2021.733878] [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] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/22/2021] [Indexed: 01/28/2023] Open
Abstract
Background: Mobile health (mHealth) has the potential to bring preventive healthcare within reach of populations with limited access to preventive services, by delivering personalized support at low cost. Although numerous mHealth interventions are available, very few have been developed following an evidence-based rationale or have been tested for efficacy. This article describes the systematic development of a coach-supported mHealth application to improve healthy lifestyles for the prevention of dementia and cardiovascular disease in the United Kingdom (UK) and China. Methods: Development of the Prevention of Dementia by Mobile Phone applications (PRODEMOS) platform built upon the experiences with the Healthy Aging Through Internet Counseling in the Elderly (HATICE) eHealth platform. In the conceptualization phase, experiences from the HATICE trial and needs and wishes of the PRODEMOS target population were assessed through semi-structured interviews and focus group sessions. Initial technical development of the platform was based on these findings and took place in consecutive sprint sessions. Finally, during the evaluation and adaptation phase, functionality and usability of the platform were evaluated during pilot studies in UK and China. Results: The PRODEMOS mHealth platform facilitates self-management of a healthy lifestyle by goal setting, progress monitoring, and educational materials on healthy lifestyles. Participants receive remote coaching through a chat functionality. Based on lessons learned from the HATICE study and end-users, we made the intervention easy-to-use and included features to personalize the intervention. Following the pilot studies, in which in total 77 people used the mobile application for 6 weeks, the application was made more intuitive, and we improved its functionalities. Conclusion: Early involvement of end-users in the development process and during evaluation phases improved acceptability of the mHealth intervention. The actual use and usability of the PRODEMOS intervention will be assessed during the ongoing PRODEMOS randomized controlled trial, taking a dual focus on effectiveness and implementation outcomes.
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Affiliation(s)
- Melanie Hafdi
- Department of Neurology, Amsterdam University Medical Center (UMC) Location Academic Medical Center (AMC), Amsterdam, Netherlands,*Correspondence: Melanie Hafdi
| | - Esmé Eggink
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Marieke P. Hoevenaar-Blom
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - M. Patrick Witvliet
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Sandrine Andrieu
- Center for Epidemiology and Research in Population Health (CERPOP), University of Toulouse-INSERM UMR1295, Toulouse, France,Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Linda Barnes
- Cambridge Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Rachael Brooks
- Cambridge Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Nicola Coley
- Center for Epidemiology and Research in Population Health (CERPOP), University of Toulouse-INSERM UMR1295, Toulouse, France,Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | | | | | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom
| | | | - Libin Song
- Fuzhou Comvee Network &Technology Co., Ltd, Fuzhou, China
| | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Wenzhi Wang
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing, China
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China,School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia,School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China,Centre for Precision Health, Edith Cowan University, Perth, WA, Australia
| | - Anders Wimo
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Xiaoyan Ye
- Fuzhou Comvee Network &Technology Co., Ltd, Fuzhou, China
| | - Eric P. Moll van Charante
- Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands,Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Edo Richard
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands,Department of Neurology, Radboud University Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
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12
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Alharbi K, Blakeman T, van Marwijk H, Reeves D. Identification and management of frail patients in English primary care: an analysis of the General Medical Services 2018/2019 contract dataset. BMJ Open 2021; 11:e041091. [PMID: 34408025 PMCID: PMC8375730 DOI: 10.1136/bmjopen-2020-041091] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVES The aim of this study was to explore the extent of implementation of the General Medical Services 2018/2019 'frailty identification and management' contract in general practitioner (GP) practices in England, and link implementation outcomes to a range of practice and Clinical Commissioning Group (CCG) factors. DESIGN A cross-sectional study design using publicly available datasets relating to the year 2018 for all GP practices in England. SETTINGS English general practices. DATA The analysis was conducted across 6632 practices in 193 CCGs with 9 995 558 patients aged 65 years or older. OUTCOMES Frailty assessment rates, frailty coding rates and frailty prevalence rates, plus rates of medication reviews, falls assessments and enriched Summary Care Records (SCRs). ANALYSIS Summary statistics were calculated and multilevel negative binomial regression analysis was used to investigate relationships of the six outcomes with explanatory factors. RESULTS 14.3% of people aged 65 years or older were assessed for frailty, with 35.4% of these-totalling 5% of the eligible population-coded moderately or severely frail. 59.2% received a medications review, but rates of falls assessments (3.7%) and enriched SCRs (21%) were low. However, percentages varied widely across practices and CCGs. Practice differences in contract implementation were most strongly accounted for by their grouping within CCGs, with weaker but still important associations with some practice and CCG factors, particularly healthcare demand-related factors of chronic caseload and (negatively) % of patients aged 65 years or older. CONCLUSION CCG appears the strongest determinant of practice engagement with the frailty contract, and fuller implementation may depend on greater engagement of CCGs themselves, particularly in commissioning suitable interventions. Practices understandably targeted frailty assessments at patients more likely to be found severely frail, resulting in probable underidentification of moderately frail individuals who might benefit most from early interventions. Frailty prevalence estimates based on the contract data may not reflect actual rates.
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Affiliation(s)
- Khulud Alharbi
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, University of Manchester, Manchester, UK
| | - Thomas Blakeman
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, University of Manchester, Manchester, UK
| | - Harm van Marwijk
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK
| | - David Reeves
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, University of Manchester, Manchester, UK
- Centre for Biostatistics, School of Health Sciences, University of Manchester, Manchester, UK
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13
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Hodkinson A, Kontopantelis E, Adeniji C, van Marwijk H, McMillian B, Bower P, Panagioti M. Interventions Using Wearable Physical Activity Trackers Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis. JAMA Netw Open 2021; 4:e2116382. [PMID: 34283229 PMCID: PMC9387744 DOI: 10.1001/jamanetworkopen.2021.16382] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
IMPORTANCE Wearable physical activity (PA) trackers, such as accelerometers, fitness trackers, and pedometers, are accessible technologies that may encourage increased PA levels in line with current recommendations. However, whether their use is associated with improvements in PA levels in participants who experience 1 or more cardiometabolic conditions, such as diabetes, prediabetes, obesity, and cardiovascular disease, is unknown. OBJECTIVE To assess the association of interventions using wearable PA trackers (accelerometers, fitness trackers, and pedometers) with PA levels and other health outcomes in adults with cardiometabolic conditions. DATA SOURCES For this systematic review and meta-analysis, searches of MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and PsycINFO were performed from January 1, 2000, until December 31, 2020, with no language restriction. A combination of Medical Subject Heading terms and text words of diabetes, obesity, cardiovascular disease, pedometers, accelerometers, and Fitbits were used. STUDY SELECTION Randomized clinical trials or cluster randomized clinical trials that evaluated the use of wearable PA trackers, such as pedometers, accelerometers, or fitness trackers, were included. Trials were excluded if they assessed the trackers only as measuring tools of PA before and after another intervention, they required participants to be hospitalized, assessors were not blinded to the trackers, or they used a tracker to measure the effect of a pharmacological treatment on PA among individuals. DATA EXTRACTION AND SYNTHESIS The study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. A random-effects model was used for the meta-analysis. MAIN OUTCOMES AND MEASURES The primary outcome was mean difference in PA levels. When the scale was different across studies, standardized mean differences were calculated. Heterogeneity was quantified using the I2 statistic and explored using mixed-effects metaregression. RESULTS A total of 38 randomized clinical trials with 4203 participants were eligible in the systematic review; 29 trials evaluated pedometers, and 9 evaluated accelerometers or fitness trackers. Four studies did not provide amenable outcome data, leaving 34 trials (3793 participants) for the meta-analysis. Intervention vs comparator analysis showed a significant association of wearable tracker use with increased PA levels overall (standardized mean difference, 0.72; 95% CI, 0.46-0.97; I2 = 88%; 95% CI, 84.3%-90.8%; P < .001) in studies with short to medium follow-up for median of 15 (range, 12-52) weeks. Multivariable metaregression showed an association between increased PA levels and interventions that involved face-to-face consultations with facilitators (23 studies; β = -0.04; 95% CI, -0.11 to -0.01), included men (23 studies; β = 0.48; 95% CI, 0.01-0.96), and assessed pedometer-based interventions (26 studies; β = 0.20; 95% CI, 0.02-0.32). CONCLUSIONS AND RELEVANCE In this systematic review and meta-analysis, interventions that combined wearable activity trackers with health professional consultations were associated with significant improvements in PA levels among people with cardiometabolic conditions.
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Affiliation(s)
- Alexander Hodkinson
- National Institute for Health Research, School
for Primary Care Research, Manchester Academic Health Science Centre, University of
Manchester, Manchester, United Kingdom
| | - Evangelos Kontopantelis
- National Institute for Health Research, School
for Primary Care Research, Manchester Academic Health Science Centre, University of
Manchester, Manchester, United Kingdom
| | - Charles Adeniji
- National Institute for Health Research, School
for Primary Care Research, Manchester Academic Health Science Centre, University of
Manchester, Manchester, United Kingdom
| | - Harm van Marwijk
- Department of Primary Care and Public Health,
Brighton and Sussex Medical School, University of Brighton, Brighton, United
Kingdom
| | - Brian McMillian
- National Institute for Health Research, School
for Primary Care Research, Manchester Academic Health Science Centre, University of
Manchester, Manchester, United Kingdom
| | - Peter Bower
- National Institute for Health Research, School
for Primary Care Research, Manchester Academic Health Science Centre, University of
Manchester, Manchester, United Kingdom
| | - Maria Panagioti
- National Institute for Health Research, School
for Primary Care Research, Manchester Academic Health Science Centre, University of
Manchester, Manchester, United Kingdom
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14
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Ford E, Edelman N, Somers L, Shrewsbury D, Lopez Levy M, van Marwijk H, Curcin V, Porat T. Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners. BMC Med Inform Decis Mak 2021; 21:193. [PMID: 34154580 PMCID: PMC8215812 DOI: 10.1186/s12911-021-01557-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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: 10/16/2020] [Accepted: 05/31/2021] [Indexed: 11/29/2022] Open
Abstract
Background Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient risk, help with prescribing safety, improve diagnosis and prompt clinicians to record extra data. However, there is persistent evidence of low uptake of CDSSs in the clinic. We interviewed UK General Practitioners (GPs) to understand what features of CDSSs, and the contexts of their use, facilitate or present barriers to their use. Methods We interviewed 11 practicing GPs in London and South England using a semi-structured interview schedule and discussed a hypothetical CDSS that could detect early signs of dementia. We applied thematic analysis to the anonymised interview transcripts. Results We identified three overarching themes: trust in individual CDSSs; usability of individual CDSSs; and usability of CDSSs in the broader practice context, to which nine subthemes contributed. Trust was affected by CDSS provenance, perceived threat to autonomy and clear management guidance. Usability was influenced by sensitivity to the patient context, CDSS flexibility, ease of control, and non-intrusiveness. CDSSs were more likely to be used by GPs if they did not contribute to alert proliferation and subsequent fatigue, or if GPs were provided with training in their use. Conclusions Building on these findings we make a number of recommendations for CDSS developers to consider when bringing a new CDSS into GP patient records systems. These include co-producing CDSS with GPs to improve fit within clinic workflow and wider practice systems, ensuring a high level of accuracy and a clear clinical pathway, and providing CDSS training for practice staff. These recommendations may reduce the proliferation of unhelpful alerts that can result in important decision-support being ignored. Supplementary Information The online version contains supplementary material available at 10.1186/s12911-021-01557-z.
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Affiliation(s)
- Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK.
| | - Natalie Edelman
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK.,School of Sport and Health Sciences, University of Brighton, Brighton, UK
| | - Laura Somers
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK
| | - Duncan Shrewsbury
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK
| | - Marcela Lopez Levy
- Psychosocial Department, Centre for Researching and Embedding Human Rights (CREHR), Birkbeck College, London, UK
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK
| | - Vasa Curcin
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Talya Porat
- Dyson School of Design Engineering, Imperial College London, London, UK
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15
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Eggink E, Hafdi M, Hoevenaar-Blom MP, Song M, Andrieu S, Barnes LE, Birck C, Brooks RL, Coley N, Ford E, Georges J, van der Groep A, van Gool WA, Handels R, Hou H, Li D, Liu H, Lyu J, van Marwijk H, van der Meijden M, Niu Y, Sadhwani S, Wang W, Wang Y, Wimo A, Ye X, Yu Y, Zeng Q, Zhang W, Wang W, Brayne C, Moll van Charante EP, Richard E. Prevention of dementia using mobile phone applications (PRODEMOS): protocol for an international randomised controlled trial. BMJ Open 2021; 11:e049762. [PMID: 34108173 PMCID: PMC8191602 DOI: 10.1136/bmjopen-2021-049762] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/14/2021] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Profiles of high risk for future dementia are well understood and are likely to concern mostly those in low-income and middle-income countries and people at greater disadvantage in high-income countries. Approximately 30%-40% of dementia cases have been estimated to be attributed to modifiable risk factors, including hypertension, smoking and sedentary lifestyle. Tailored interventions targeting these risk factors can potentially prevent or delay the onset of dementia. Mobile health (mHealth) improves accessibility of such prevention strategies in hard-to-reach populations while at the same time tailoring such approaches. In the current study, we will investigate the effectiveness and implementation of a coach-supported mHealth intervention, targeting dementia risk factors, to reduce dementia risk. METHODS AND ANALYSIS The prevention of dementia using mobile phone applications (PRODEMOS) randomised controlled trial will follow an effectiveness-implementation hybrid design, taking place in the UK and China. People are eligible if they are 55-75 years old, of low socioeconomic status (UK) or from the general population (China); have ≥2 dementia risk factors; and own a smartphone. 2400 participants will be randomised to either a coach-supported, interactive mHealth platform, facilitating self-management of dementia risk factors, or a static control platform. The intervention and follow-up period will be 18 months. The primary effectiveness outcome is change in the previously validated Cardiovascular Risk Factors, Ageing and Incidence of Dementia dementia risk score. The main secondary outcomes include improvement of individual risk factors and cost-effectiveness. Implementation outcomes include acceptability, adoption, feasibility and sustainability of the intervention. ETHICS AND DISSEMINATION The PRODEMOS trial is sponsored in the UK by the University of Cambridge and is granted ethical approval by the London-Brighton and Sussex Research Ethics Committee (reference: 20/LO/01440). In China, the trial is approved by the medical ethics committees of Capital Medical University, Beijing Tiantan Hospital, Beijing Geriatric Hospital, Chinese People's Liberation Army General Hospital, Taishan Medical University and Xuanwu Hospital. Results will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER ISRCTN15986016.
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Affiliation(s)
- Esmé Eggink
- Department of General Practice, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Melanie Hafdi
- Department of Neurology, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | | | - Manshu Song
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University School of Public Health, Beijing, China
- Edith Cowan University School of Medical and Health Sciences, Joondalup, Western Australia, Australia
| | - Sandrine Andrieu
- INSERM-University of Toulouse UMR1027, Toulouse, France
- Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Linda E Barnes
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | | | | | - Nicola Coley
- INSERM-University of Toulouse UMR1027, Toulouse, France
- Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK
| | | | | | - Willem A van Gool
- Department of Public and Occupational Health, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Ron Handels
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Haifeng Hou
- Edith Cowan University School of Medical and Health Sciences, Joondalup, Western Australia, Australia
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Science, Tai'an, China
| | - Dong Li
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Science, Tai'an, China
| | - Hongmei Liu
- Beijing Neurosurgical Institute, Beijing, China
| | - Jihui Lyu
- Center for Cognitive Disorders, Beijing Geriatric Hospital, Beijing, China
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK
| | | | - Yixuan Niu
- Department of Geriatrics, The Second Medical Centre and National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Shanu Sadhwani
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK
| | - Wenzhi Wang
- Beijing Neurosurgical Institute, Beijing, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University School of Public Health, Beijing, China
- Edith Cowan University School of Medical and Health Sciences, Joondalup, Western Australia, Australia
| | - Anders Wimo
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Xiaoyan Ye
- Fuzhou Comvee Network & Technology Co., Ltd, Fuzhou, China
| | - Yueyi Yu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qiang Zeng
- Health Management Institute, The Second Medical Centre and National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Wei Zhang
- Centre for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University School of Public Health, Beijing, China
- Edith Cowan University School of Medical and Health Sciences, Joondalup, Western Australia, Australia
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Eric P Moll van Charante
- Department of General Practice, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
| | - Edo Richard
- Department of Public and Occupational Health, Amsterdam UMC Locatie AMC, Amsterdam, The Netherlands
- Department of Neurology, Radboud University Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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Eggink E, van Charante EPM, Hoevenaar‐Blom MP, Andrieu S, Hafdi M, Coley N, Sadhwani S, Wimo A, Barnes L, Handels R, Kivipelto M, Song M, Georges J, van Der Groep B, van der Meijden M, Wang Y, Wang W, van Gool WA, van Marwijk H, Brayne C, Richard E. Prevention of dementia using mobile phone applications (PRODEMOS): A randomized controlled trial in progress. Alzheimers Dement 2020. [DOI: 10.1002/alz.043039] [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: 11/07/2022]
Affiliation(s)
- Esmé Eggink
- Amsterdam University Medical Center Amsterdam Netherlands
| | | | | | | | - Melanie Hafdi
- Amsterdam University Medical Center Academic Medical Center Amsterdam Netherlands
| | | | | | - Anders Wimo
- Karolinska Institutet, Dept for Neurobiology, Care Sciences and Society, Center for Alzheimer Research Div of Neurogeriatrics Solna Sweden
| | - Linda Barnes
- University of Cambridge Cambridge United Kingdom
| | - Ron Handels
- Karolinska Institutet, Dept for Neurobiology, Care Sciences and Society, Center for Alzheimer Research Div of Neurogeriatrics Solna Sweden
| | - Miia Kivipelto
- Aging Research Center Karolinska Institutet and Stockholm University Stockholm Sweden
| | | | | | | | | | | | - Wei Wang
- Edith Cowan University Joondalup Australia
| | - Willem A van Gool
- Amsterdam University Medical Center Academic Medical Center Amsterdam Netherlands
| | | | - Carol Brayne
- University of Cambridge Cambridge United Kingdom
| | - Edo Richard
- Radboud University Medical Center Nijmegen Netherlands
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Hodkinson A, Kontopantelis E, Adeniji C, van Marwijk H, McMillan B, Bower P, Panagioti M. Notice of Retraction. Hodkinson et al. Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis. JAMA Netw Open. 2019;2(10):e1912895. JAMA Netw Open 2020; 3:e2032700. [PMID: 33337497 DOI: 10.1001/jamanetworkopen.2020.32700] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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)
- Alexander Hodkinson
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Evangelos Kontopantelis
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Charles Adeniji
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, United Kingdom
| | - Brian McMillan
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Peter Bower
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Maria Panagioti
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
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Petrazzuoli F, Vinker S, Palmqvist S, Midlöv P, Lepeleire JD, Pirani A, Frese T, Buono N, Ahrensberg J, Asenova R, Boreu QF, Peker GC, Collins C, Hanževački M, Hoffmann K, Iftode C, Koskela TH, Kurpas D, Reste JYL, Lichtwarck B, Petek D, Schrans D, Soler JK, Streit S, Tatsioni A, Torzsa P, Unalan PC, van Marwijk H, Thulesius H. Unburdening dementia - a basic social process grounded theory based on a primary care physician survey from 25 countries. Scand J Prim Health Care 2020; 38:253-264. [PMID: 32720874 PMCID: PMC7470166 DOI: 10.1080/02813432.2020.1794166] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVE To explore dementia management from a primary care physician perspective. DESIGN One-page seven-item multiple choice questionnaire; free text space for every item; final narrative question of a dementia case story. Inductive explorative grounded theory analysis. Derived results in cluster analyses. Appropriateness of dementia drugs assessed by tertiary care specialist. SETTING Twenty-five European General Practice Research Network member countries. SUBJECTS Four hundred and forty-five key informant primary care physician respondents of which 106 presented 155 case stories. MAIN OUTCOME MEASURES Processes and typologies of dementia management. Proportion of case stories with drug treatment and treatment according to guidelines. RESULTS Unburdening dementia - a basic social process - explained physicians' dementia management according to a grounded theory analysis using both qualitative and quantitative data. Unburdening starts with Recognizing the dementia burden by Burden Identification and Burden Assessment followed by Burden Relief. Drugs to relieve the dementia burden were reported for 130 of 155 patients; acetylcholinesterase inhibitors or memantine treatment in 89 of 155 patients - 60% appropriate according to guidelines and 40% outside of guidelines. More Central and Northern primary care physicians were allowed to prescribe, and more were engaged in dementia management than Eastern and Mediterranean physicians according to cluster analyses. Physicians typically identified and assessed the dementia burden and then tried to relieve it, commonly by drug prescriptions, but also by community health and home help services, mentioned in more than half of the case stories. CONCLUSIONS Primary care physician dementia management was explained by an Unburdening process with the goal to relieve the dementia burden, mainly by drugs often prescribed outside of guideline indications. Implications: Unique data about dementia management by European primary care physicians to inform appropriate stakeholders. Key points Dementia as a syndrome of cognitive and functional decline and behavioural and psychological symptoms causes a tremendous burden on patients, their families, and society. •We found that a basic social process of Unburdening dementia explained dementia management according to case stories and survey comments from primary care physicians in 25 countries. •First, Burden Recognition by Identification and Assessment and then Burden Relief - often by drugs. •Prescribing physicians repeatedly broadened guideline indications for dementia drugs. The more physicians were allowed to prescribe dementia drugs, the more they were responsible for the dementia work-up. Our study provides unique data about dementia management in European primary care for the benefit of national and international stakeholders.
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Affiliation(s)
- Ferdinando Petrazzuoli
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
- CONTACT Ferdinando Petrazzuoli Center for Primary Health Care Research, Clinical Research Center, Lund University, Box 50332, Malmö202 13, Sweden
| | - Shlomo Vinker
- Department of Family Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Sweden
| | - Patrik Midlöv
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Jan De Lepeleire
- Department of Public Health and Primary Care, General Practice, University of Leuven, Leuven, Belgium
| | - Alessandro Pirani
- Family and Nursing Home Practice – Memory Clinic, Alzheimer’s Association “Francesco Mazzucca” Onlus, Ferrara, Italy
| | - Thomas Frese
- Institute of General Practice and Family Medicine, Medical Faculty, Martin-Luther-University Halle-Wittenberg, Halle/Saale, Germany
| | - Nicola Buono
- SNAMID (National Society of Medical Education in General Practice), Caserta, Italy
| | - Jette Ahrensberg
- Research Center for Emergency Medicine, Aarhus University, Aarhus, Denmark
| | - Radost Asenova
- Department of Urology and General Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Quintí Foguet Boreu
- Institut Universitari d’Investigació en Atenció Primària- IDIAP Jordi Gol, Universitat Autònoma de Barcelona, Catalonia, Spain
| | - Gülsen Ceyhun Peker
- Department of Family Medicine, Ankara University School of Medicine, Ankara, Turkey
| | | | | | - Kathryn Hoffmann
- Department of General Practice and Family Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | | | | | - Donata Kurpas
- Family Medicine Department, Wroclaw Medical University, Wroclaw, Poland
| | - Jean Yves Le Reste
- EA 7479 SPURBO. Department of General Practice, Université de Bretagne Occidentale, Brest, France
| | - Bjørn Lichtwarck
- The Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway
| | - Davorina Petek
- Department of Family medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Diego Schrans
- Department of Family Medicine and Primary, Health Care Ghent University, Ghent, Belgium
| | | | - Sven Streit
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Athina Tatsioni
- Department of Internal Medicine, General Medicine, Faculty of Medicine, University of Ioannina School of Health Sciences, Ioannina, Greece
| | - Péter Torzsa
- Department of Family Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Pemra C. Unalan
- Department of Family Medicine, Marmara University Medical Faculty, Istanbul, Turkey
| | | | - Hans Thulesius
- Center for Primary Health Care Research, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
- Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
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Musinguzi G, Ndejjo R, Ssinabulya I, Bastiaens H, van Marwijk H, Wanyenze RK. Cardiovascular risk factor mapping and distribution among adults in Mukono and Buikwe districts in Uganda: small area analysis. BMC Cardiovasc Disord 2020; 20:284. [PMID: 32522155 PMCID: PMC7288476 DOI: 10.1186/s12872-020-01573-3] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 06/03/2020] [Indexed: 11/11/2022] Open
Abstract
Background Sub-Saharan Africa (SSA) is experiencing an increasing burden of Cardiovascular Diseases (CVDs). Modifiable risk factors including hypertension, diabetes, obesity, central obesity, sedentary behaviours, smoking, poor diet (characterised by inadequate vegetable and fruit consumption), and psychosocial stress are attributable to the growing burden of CVDs. Small geographical area mapping and analysis of these risk factors for CVD is lacking in most of sub-Saharan Africa and yet such data has the potential to inform monitoring and exploration of patterns of morbidity, health-care use, and mortality, as well as the epidemiology of risk factors. In the current study, we map and describe the distribution of the CVD risk factors in 20 parishes in two neighbouring districts in Uganda. Methods A baseline survey benchmarking a type-2 hybrid stepped wedge cluster randomised trial design was conducted in December 2018 and January 2019. A sample of 4372 adults aged 25–70 years was drawn from 3689 randomly selected households across 80 villages in 20 parishes in Mukono and Buikwe districts in Uganda. Descriptive statistics and generalized linear modelling controlled for clustering were conducted for this analysis in Stata 13.0, and a visual map showing risk factor distribution developed in QGIS. Results Mapping the prevalence of selected CVD risk factors indicated substantial gender and small area geographic heterogeneity which was masked on aggregate analysis. Patterns and clustering were observed for hypertension, physical inactivity, smoking, alcohol consumption and risk factor combination. Prevalence of unhealthy diet was very high across all parishes with no significant observable differences across areas. Conclusion Modifiable cardiovascular risk factors are common in this low-income context. Moreover, across small area geographic setting, it appears significant differences in distribution of risk factors exist. These differences suggest that underlying drivers such as sociocultural, environmental and economic determinants may be promoting or inhibiting the observed risk factor prevalences which should be further explored. In addition, the differences emphasize the value of small geographical area mapping and analysis to inform more targeted risk reduction interventions.
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Affiliation(s)
- Geofrey Musinguzi
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda. .,Department of Primary and Interdisciplinary care, University of Antwerp, Antwerp, Belgium.
| | - Rawlance Ndejjo
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.,Department of Primary and Interdisciplinary care, University of Antwerp, Antwerp, Belgium
| | | | - Hilde Bastiaens
- Department of Primary and Interdisciplinary care, University of Antwerp, Antwerp, Belgium
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex University Medical School, Sussex, UK
| | - Rhoda K Wanyenze
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
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Ford E, Starlinger J, Rooney P, Oliver S, Banerjee S, van Marwijk H, Cassell J. Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study. Wellcome Open Res 2020; 5:120. [PMID: 32766457 PMCID: PMC7385545 DOI: 10.12688/wellcomeopenres.15903.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2020] [Indexed: 12/18/2022] Open
Abstract
Background: Timely diagnosis of dementia is a policy priority in the United Kingdom (UK). Primary care physicians receive incentives to diagnose dementia; however, 33% of patients are still not receiving a diagnosis. We explored automating early detection of dementia using data from patients' electronic health records (EHRs). We investigated: a) how early a machine-learning model could accurately identify dementia before the physician; b) if models could be tuned for dementia subtype; and c) what the best clinical features were for achieving detection. Methods: Using EHRs from Clinical Practice Research Datalink in a case-control design, we selected patients aged >65y with a diagnosis of dementia recorded 2000-2012 (cases) and matched them 1:1 to controls; we also identified subsets of Alzheimer's and vascular dementia patients. Using 77 coded concepts recorded in the 5 years before diagnosis, we trained random forest classifiers, and evaluated models using Area Under the Receiver Operating Characteristic Curve (AUC). We examined models by year prior to diagnosis, subtype, and the most important features contributing to classification. Results: 95,202 patients (median age 83y; 64.8% female) were included (50% dementia cases). Classification of dementia cases and controls was poor 2-5 years prior to physician-recorded diagnosis (AUC range 0.55-0.65) but good in the year before (AUC: 0.84). Features indicating increasing cognitive and physical frailty dominated models 2-5 years before diagnosis; in the final year, initiation of the dementia diagnostic pathway (symptoms, screening and referral) explained the sudden increase in accuracy. No substantial differences were seen between all-cause dementia and subtypes. Conclusions: Automated detection of dementia earlier than the treating physician may be problematic, if using only primary care data. Future work should investigate more complex modelling, benefits of linking multiple sources of healthcare data and monitoring devices, or contextualising the algorithm to those cases that the GP would need to investigate.
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Affiliation(s)
- Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK
| | - Johannes Starlinger
- Department of Computer Science, Humboldt University of Berlin, Rudower Chaussee 25, Berlin, 12489, Germany
| | - Philip Rooney
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9RQ, UK
| | - Seb Oliver
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9RQ, UK
| | - Sube Banerjee
- Faculty of Health, University of Plymouth, Drake Circus, Plymouth, Devon, PL4 8AA, UK
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK
| | - Jackie Cassell
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK
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21
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Nahar P, van Marwijk H, Gibson L, Musinguzi G, Anthierens S, Ford E, Bremner SA, Bowyer M, Le Reste JY, Sodi T, Bastiaens H. A protocol paper: community engagement interventions for cardiovascular disease prevention in socially disadvantaged populations in the UK: an implementation research study. Glob Health Res Policy 2020; 5:12. [PMID: 32190745 PMCID: PMC7068925 DOI: 10.1186/s41256-020-0131-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 08/04/2019] [Accepted: 01/05/2020] [Indexed: 12/27/2022] Open
Abstract
Background Cardiovascular disorders (CVD) are the single greatest cause of mortality worldwide. In the UK, the National Health Service (NHS) has launched an initiative of health checks over and above current care to tackle CVD. However, the uptake of Health Checks is poor in disadvantaged communities. This protocol paper sets out a UK-based study (Sussex and Nottingham) aiming to co-produce a community delivered CVD risk assessment and coaching intervention to support community members to reduce their risk of CVD. The overall aim of the project is to implement a tailored-to-context community engagement (CE) intervention on awareness of CVD risks in vulnerable populations in high, middle and low-income countries. The specific objectives of the study are to enhance stakeholder’ engagement; to implement lifestyle interventions for cardiovascular primary prevention, in disadvantaged populations and motivate uptake of NHS health checks. Methods This study uses both qualitative and quantitative methods in three phases of evaluation, including pre-, per- and post-implementation. To ensure contextual appropriateness the ‘Scaling-up Packages of Interventions for Cardiovascular disease prevention in selected sites in Europe and Sub-Saharan Africa: An implementation research’ (SPICES) project will organize a multi-component community-engagement intervention. For the qualitative component, the pre-implementation phase will involve a contextual assessment and stakeholder mapping, exploring potentials for CVD risk profiling strategies and led by trained Community Health Volunteers (CHV) to identify accessibility and acceptability. The per-implementation phase will involve healthy lifestyle counselling provided by CHVs and evaluation of the outcome to identify fidelity and scalability. The post-implementation phase will involve developing sustainable community-based strategies for CVD risk reduction. All three components will include a process evaluation. A stepped wedge cluster randomised trial of the roll out will focus on implementation outcomes including uptake and engagement and changes in risk profiles. The quantitative component includes pre and post-intervention surveys. The theory of the socio-ecological framework will be applied to analyse the community engagement approach. Discussion Based on the results ultimately a sustainable community engagement-based strategy for the primary prevention of CVD risk will be developed to enhance the performance of NHS health care in the UK. The Trial Registration number is ISRCTN68334579.
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Affiliation(s)
- Papreen Nahar
- 1Department of Global Health and Infection, Brighton and Sussex Medical School, The University of Sussex, Brighton, UK
| | - Harm van Marwijk
- 2Department of Primary Care and Public Health, Brighton and Sussex Medical School, The University of Sussex, Brighton, UK
| | - Linda Gibson
- 3School of Social Sciences, Nottingham Trent University, Nottingham, UK
| | - Geofrey Musinguzi
- 4Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.,5Department of Primary and Interdisciplinary Care, University of Antwerp, Antwerp, Belgium
| | - Sibyl Anthierens
- 5Department of Primary and Interdisciplinary Care, University of Antwerp, Antwerp, Belgium
| | - Elizabeth Ford
- 2Department of Primary Care and Public Health, Brighton and Sussex Medical School, The University of Sussex, Brighton, UK
| | - Stephen A Bremner
- 2Department of Primary Care and Public Health, Brighton and Sussex Medical School, The University of Sussex, Brighton, UK
| | - Mark Bowyer
- 3School of Social Sciences, Nottingham Trent University, Nottingham, UK
| | - Jean Yves Le Reste
- 6EA 7479 SPURBO, Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale, Brest, France
| | - Tholene Sodi
- 7Department of Psychology, University of Limpopo, Mankweng, South Africa
| | - Hilde Bastiaens
- 5Department of Primary and Interdisciplinary Care, University of Antwerp, Antwerp, Belgium
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22
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Ford E, Rooney P, Oliver S, Hoile R, Hurley P, Banerjee S, van Marwijk H, Cassell J. Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches. BMC Med Inform Decis Mak 2019; 19:248. [PMID: 31791325 PMCID: PMC6889642 DOI: 10.1186/s12911-019-0991-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 11/21/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the disease process, there is ample room for improvement. The policy of the UK government and National Health Service (NHS) is to increase rates of timely dementia diagnosis. We used data from general practice (GP) patient records to create a machine-learning model to identify patients who have or who are developing dementia, but are currently undetected as having the condition by the GP. METHODS We used electronic patient records from Clinical Practice Research Datalink (CPRD). Using a case-control design, we selected patients aged >65y with a diagnosis of dementia (cases) and matched them 1:1 by sex and age to patients with no evidence of dementia (controls). We developed a list of 70 clinical entities related to the onset of dementia and recorded in the 5 years before diagnosis. After creating binary features, we trialled machine learning classifiers to discriminate between cases and controls (logistic regression, naïve Bayes, support vector machines, random forest and neural networks). We examined the most important features contributing to discrimination. RESULTS The final analysis included data on 93,120 patients, with a median age of 82.6 years; 64.8% were female. The naïve Bayes model performed least well. The logistic regression, support vector machine, neural network and random forest performed very similarly with an AUROC of 0.74. The top features retained in the logistic regression model were disorientation and wandering, behaviour change, schizophrenia, self-neglect, and difficulty managing. CONCLUSIONS Our model could aid GPs or health service planners with the early detection of dementia. Future work could improve the model by exploring the longitudinal nature of patient data and modelling decline in function over time.
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Affiliation(s)
- Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH England
| | - Philip Rooney
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9RQ England
| | - Seb Oliver
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9RQ England
| | - Richard Hoile
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH England
| | - Peter Hurley
- Department of Physics and Astronomy, University of Sussex, Brighton, BN1 9RQ England
| | - Sube Banerjee
- Faculty of Health, University of Plymouth, Plymouth, PL4 8AA England
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH England
| | - Jackie Cassell
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH England
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23
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Hodkinson A, Kontopantelis E, Adeniji C, van Marwijk H, McMillan B, Bower P, Panagioti M. Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis. JAMA Netw Open 2019; 2:e1912895. [PMID: 31596494 PMCID: PMC6802237 DOI: 10.1001/jamanetworkopen.2019.12895] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 08/19/2019] [Indexed: 01/15/2023] Open
Abstract
Importance Accelerometers and pedometers are accessible technologies that could have a role in encouraging physical activity (PA) in line with current recommendations. However, there is no solid evidence of their association with PA in participants with 1 or more cardiometabolic conditions such as diabetes, prediabetes, obesity, and cardiovascular disease. Objectives To assess the association of accelerometer- and pedometer-based interventions with increased activity and other improved health outcomes in adults with cardiometabolic conditions and to examine characteristics of the studies that could influence the association of both interventions in improving PA. Data Sources Records from MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the Cumulative Index to Nursing and Allied Health, and PsycINFO were searched from inception until August 2018 with no language restriction. Study Selection Randomized clinical trials or cluster randomized clinical trials evaluating the use of wearable technology devices such as pedometers and accelerometers as motivating and monitoring tools for increasing PA were included. After removing duplicates, the searches retrieved 5762 references. Following abstract and title screening of 1439 references and full-text screening of 107 studies, 36 studies met inclusion criteria. Data Extraction and Synthesis Mean difference in PA was assessed by random-effects meta-analysis. Where the scale was different across studies, the standardized mean difference was used instead. Heterogeneity was quantified using the I2 statistic and explored using mixed-effects metaregression. This study was registered with PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Main Outcomes and Measures The primary outcome was objectively measured PA in the short to medium term (postintervention to 8 months' follow-up). Results Thirty-six randomized clinical trials (20 using accelerometers and 16 using pedometers) involving 5208 participants were eligible for review. Meta-analysis involving 32 of these trials (4856 participants) showed medium improvements in PA: accelerometers and pedometers combined vs comparator showed a small significant increase in PA overall (standardized mean difference, 0.39 [95% CI, 0.28-0.51]; I2 = 60% [95% CI, 41%-73%]) in studies of short to medium follow-up over a mean (SD) of 32 (28.6) weeks. Multivariable metaregression showed improved association with PA for complex interventions that involved face-to-face consultation sessions with facilitators (β = 0.36; 95% CI, 0.17-0.55; P < .001) and pedometer-based interventions (β = 0.30; 95% CI, 0.08-0.52; P = .002). Conclusions and Relevance In this study, complex accelerometer- and pedometer-based interventions led to significant small to medium improvements in PA levels of people with cardiometabolic conditions. However, longer-term trials are needed to assess their performance over time. This study found no evidence that simple self-monitored interventions using either pedometers or accelerometers are associated with improvements in PA.
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Affiliation(s)
- Alexander Hodkinson
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Evangelos Kontopantelis
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Charles Adeniji
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Harm van Marwijk
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, United Kingdom
| | - Brian McMillan
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Peter Bower
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
| | - Maria Panagioti
- National Institute for Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, United Kingdom
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Musinguzi G, Wanyenze RK, Ndejjo R, Ssinabulya I, van Marwijk H, Ddumba I, Bastiaens H, Nuwaha F. An implementation science study to enhance cardiovascular disease prevention in Mukono and Buikwe districts in Uganda: a stepped-wedge design. BMC Health Serv Res 2019; 19:253. [PMID: 31023311 PMCID: PMC6482572 DOI: 10.1186/s12913-019-4095-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Accepted: 04/12/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Uganda is experiencing a shift in major causes of death with cases of stroke, heart attack, and heart failure reportedly on the rise. In a study in Mukono and Buikwe in Uganda, more than one in four adults were reportedly hypertensive. Moreover, very few (36.5%) reported to have ever had a blood pressure measurement. The rising burden of CVD is compounded by a lack of integrated primary health care for early detection and treatment of people with increased risk. Many people have less access to effective and equitable health care services which respond to their needs. Capacity gaps in human resources, equipment, and drug supply, and laboratory capabilities are evident. Prevention of risk factors for CVD and provision of effective and affordable treatment to those who require it prevent disability and death and improve quality of life. The aim of this study is to improve health profiles for people with intermediate and high risk factors for CVD at the community and health facility levels. The implementation process and effectiveness of interventions will be evaluated. METHODS The overall study is a type 2-hybrid stepped-wedge (SW) design. The design employs mixed methods evaluations with incremental execution and adaptation. Sequential crossover take place from control to intervention until all are exposed. The study will take place in Mukono and Buikwe districts in Uganda, home to more than 1,000,000 people at the community and primary healthcare facility levels. The study evaluation will be guided by; 1) RE-AIM an evaluation framework and 2) the CFIR a determinant framework. The primary outcomes are implementation - acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, coverage, and sustainability. DISCUSSION The study is envisioned to provide important insight into barriers and facilitators of scaling up CVD prevention in a low income context. This project is registered at the ISRCTN Registry with number ISRCTN15848572. The trial was first registered on 03/01/2019.
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Affiliation(s)
- Geofrey Musinguzi
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
- Department of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Rhoda K. Wanyenze
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rawlance Ndejjo
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Isaac Ssinabulya
- Department of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Harm van Marwijk
- Department of Primary and Interdisciplinary Care, Briton and Sussex University Medical School, Sussex, UK
| | - Isaac Ddumba
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
- Department of Health, Mukono, District, Uganda
| | - Hilde Bastiaens
- Department of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Fred Nuwaha
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
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Bolton M, Hodkinson A, Boda S, Mould A, Panagioti M, Rhodes S, Riste L, van Marwijk H. Serious adverse events reported in placebo randomised controlled trials of oral naltrexone: a systematic review and meta-analysis. BMC Med 2019; 17:10. [PMID: 30642329 PMCID: PMC6332608 DOI: 10.1186/s12916-018-1242-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 12/17/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Naltrexone is an opioid antagonist used in many different conditions, both licensed and unlicensed. It is used at widely varying doses from 3 to 250 mg. The aim of this review was to extensively evaluate the safety of oral naltrexone by examining the risk of serious adverse events and adverse events in randomised controlled trials of naltrexone compared to placebo. METHODS A systematic search of the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, other databases and clinical trials registries was undertaken up to May 2018. Parallel placebo-controlled randomised controlled trials longer than 4 weeks published after 1 January 2001 of oral naltrexone at any dose were selected. Any condition or age group was included, excluding only studies in opioid or ex-opioid users owing to possible opioid/opioid antagonist interactions. The systematic review used the guidance of the Cochrane Handbook and Preferred Reporting Items for Systematic Reviews and Meta-analyses harms checklist throughout. Numerical data were independently extracted by two people and cross-checked. Risk of bias was assessed with the Cochrane risk-of-bias tool. Meta-analyses were performed in R using random effects models throughout. RESULTS Eighty-nine randomised controlled trials with 11,194 participants were found, studying alcohol use disorders (n = 38), various psychiatric disorders (n = 13), impulse control disorders (n = 9), other addictions including smoking (n = 18), obesity or eating disorders (n = 6), Crohn's disease (n = 2), fibromyalgia (n = 1) and cancers (n = 2). Twenty-six studies (4,960 participants) recorded serious adverse events occurring by arm of study. There was no evidence of increased risk of serious adverse events for naltrexone compared to placebo (risk ratio 0.84, 95% confidence interval 0.66-1.06). Sensitivity analyses pooling risk differences supported this conclusion (risk difference -0.01, 95% confidence interval -0.02-0.00) and subgroup analyses showed that results were consistent across different doses and disease groups. Secondary analysis revealed only six marginally significant adverse events for naltrexone compared to placebo, which were of mild severity. CONCLUSIONS Naltrexone does not appear to increase the risk of serious adverse events over placebo. These findings confirm the safety of oral naltrexone when used in licensed indications and encourage investments to undertake efficacy studies in unlicensed indications. TRIAL REGISTRATION PROSPERO 2017 CRD42017054421 .
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Affiliation(s)
- Monica Bolton
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Alex Hodkinson
- Centre for Primary Care, Division of Population Health, Health Services Research & Primary Care, Williamson Building, Oxford Road, Manchester, M13 9PL, UK.
| | - Shivani Boda
- School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Alan Mould
- Centre for Primary Care, Division of Population Health, Health Services Research & Primary Care, Williamson Building, Oxford Road, Manchester, M13 9PL, UK
| | - Maria Panagioti
- NIHR School for Primary Care Research, NIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, University of Manchester, Brighton, M13 9PL, UK
| | - Sarah Rhodes
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Lisa Riste
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Harm van Marwijk
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
- Brighton and Sussex Medical School, Watson Building, University of Brighton, Brighton, BN1 9PH, UK
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26
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Affiliation(s)
- Harm van Marwijk
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK
| | - Wesley Scott-Smith
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK
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27
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Khanassov V, Hu J, Reeves D, van Marwijk H. Selective serotonin reuptake inhibitor and selective serotonin and norepinephrine reuptake inhibitor use and risk of fractures in adults: A systematic review and meta-analysis. Int J Geriatr Psychiatry 2018; 33:1688-1708. [PMID: 30247774 DOI: 10.1002/gps.4974] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [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: 10/01/2017] [Accepted: 08/06/2018] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To evaluate the association between selective serotonin reuptake inhibitor (SSRI) and selective serotonin and norepinephrine reuptake inhibitor (SNRI) use and risk of fractures in older adults. METHODS We systematically identified and analyzed observational studies comparing SSRI/SNRI use for depression with non-SSRI/SNRI use with a primary outcome of risk of fractures in older adults. We searched for studies in MEDLINE, PsycINFO, Embase, DARE (Database of Abstracts or Reviews of Effects), the Cochrane Library, and Web of Science clinical trial research registers from 2011 for SSRIs and 1990 for SNRIs to November 29, 2016. RESULTS Thirty-three studies met our inclusion criteria; 23 studies were included in meta-analysis: 9 case-control studies and 14 cohort studies. A 1.67-fold increase in the risk of fracture for SSRI users compared with nonusers was observed (relative risk 1.67, 95% CI 1.56-1.79, P = .000). The risk of fracture increases with their long-term use: within 1 year, the risk is 2.9% or 1 additional fracture in every 85 users; within 5 years, the risk is 13.4% or 1 additional fracture in every 19 users. In meta-regression, we found that the increase in risk did not differ across age groups (odds ratio = 1.006; P = .173). A limited number of studies on SNRI use and the risk of fractures prevented us from conducting a meta-analysis. CONCLUSIONS Our systematic review showed an association between risk of fracture and the use of SSRIs, especially with increasing use. Age does not increase this risk. No such conclusions can be drawn about the effect of SNRIs on the risk of fracture because of a lack of studies.
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Affiliation(s)
| | - Jingyi Hu
- University of Manchester, Manchester, UK
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Reeves D, Pye S, Ashcroft DM, Clegg A, Kontopantelis E, Blakeman T, van Marwijk H. The challenge of ageing populations and patient frailty: can primary care adapt? BMJ 2018; 362:k3349. [PMID: 30154082 DOI: 10.1136/bmj.k3349] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- David Reeves
- University of Manchester-NIHR School for Primary Care Research, Manchester Academic Health Science Centre, Manchester, UK
- University of Manchester, Division of Population Health, Health Services Research and Primary Care, Manchester, UK
| | - Stephen Pye
- University of Manchester-NIHR School for Primary Care Research, Manchester Academic Health Science Centre, Manchester, UK
- University of Manchester, Division of Population Health, Health Services Research and Primary Care, Manchester, UK
| | - Darren M Ashcroft
- University of Manchester-School of Pharmacy and Pharmaceutical Sciences, Manchester, UK
| | - Andrew Clegg
- University of Leeds-Academic Unit of Elderly Care and Rehabilitation, Leeds, UK
| | - Evangelos Kontopantelis
- University of Manchester-NIHR School for Primary Care Research, Manchester Academic Health Science Centre, Manchester, UK
- University of Manchester, Division of Population Health, Health Services Research and Primary Care, Manchester, UK
| | - Tom Blakeman
- University of Manchester-NIHR School for Primary Care Research, Manchester Academic Health Science Centre, Manchester, UK
- University of Manchester, Division of Population Health, Health Services Research and Primary Care, Manchester, UK
| | - Harm van Marwijk
- University of Manchester-NIHR School for Primary Care Research, Manchester Academic Health Science Centre, Manchester, UK
- Brighton and Sussex Medical School-Division of Primary Care and Public Health, Brighton, UK
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Kontopantelis E, Mamas MA, van Marwijk H, Buchan I, Ryan AM, Doran T. Increasing socioeconomic gap between the young and old: temporal trends in health and overall deprivation in England by age, sex, urbanity and ethnicity, 2004-2015. J Epidemiol Community Health 2018; 72:636-644. [PMID: 29555873 PMCID: PMC6031281 DOI: 10.1136/jech-2017-209895] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 02/13/2018] [Accepted: 03/01/2018] [Indexed: 11/04/2022]
Abstract
BACKGROUND At a low geographical level, little is known about the associations between population characteristics and deprivation, and their trends, which would be directly affected by the house market, labour pressures and government policies. We describe temporal trends in health and overall deprivation in England by age, sex, urbanity and ethnicity. METHODS Repeated cross-sectional whole population study for England, 2004-2015, at a low geographical level (average 1500 residents). We calculated weighted medians of the Index of Multiple Deprivation (IMD) for each subgroup of interest. RESULTS Over time, we observed increases in relative deprivation for people aged under 30, and aged 30-59, while median deprivation decreased for those aged 60 or over. Subgroup analyses indicated that relative overall deprivation was consistently higher for young adults (aged 20-29) and infants (aged 0-4), with increases in deprivation for the latter. Levels of overall deprivation in 2004 greatly varied by ethnicity, with the lowest levels observed for White British and the highest for Blacks. Over time, small reductions were observed in the deprivation gap between White British and all other ethnic groups. Findings were consistent across overall IMD and its health and disability subdomain, but large regional variability was also observed. CONCLUSIONS Government policies, the financial crisis of 2008, education funding and the increasing cost of houses relative to real wages are important parameters in interpreting our findings. Socioeconomic deprivation is an important determinant of health and the inequalities this work highlights may have significant implications for future fiscal and healthcare policy.
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Affiliation(s)
- Evangelos Kontopantelis
- Faculty of Biology Medicine and Health, University of Manchester, Greater Manchester, UK
- NIHR School for Primary Care Research, University of Manchester, Greater Manchester, UK
| | - Mamas A Mamas
- Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Stoke-on-Trent, UK
| | - Harm van Marwijk
- Faculty of Biology Medicine and Health, University of Manchester, Greater Manchester, UK
- NIHR School for Primary Care Research, University of Manchester, Greater Manchester, UK
| | - Iain Buchan
- Faculty of Biology Medicine and Health, University of Manchester, Greater Manchester, UK
- Healthcare Research, Microsoft Research Cambridge, Cambridge, UK
| | - Andrew M Ryan
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Tim Doran
- Department of Health Sciences, University of York, York, UK
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30
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Zghebi SS, Rutter MK, Ashcroft DM, Salisbury C, Mallen C, Chew-Graham CA, Reeves D, van Marwijk H, Qureshi N, Weng S, Peek N, Planner C, Nowakowska M, Mamas M, Kontopantelis E. Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open 2018; 8:e020926. [PMID: 29961021 PMCID: PMC6042592 DOI: 10.1136/bmjopen-2017-020926] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION The increasing prevalence of type 2 diabetes mellitus (T2DM) presents a significant burden on affected individuals and healthcare systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM severity and validate it using clinical adverse outcomes. METHODS AND ANALYSIS Primary care data from the Clinical Practice Research Datalink, linked hospitalisation and mortality records between April 2007 and March 2017 for patients with T2DM in England will be used to develop a clinical algorithm to grade T2DM severity. The EHR-based algorithm will incorporate main risk factors (severity domains) for adverse outcomes to stratify T2DM cohorts by baseline and longitudinal severity scores. Provisionally, T2DM severity domains, identified through a systematic review and expert opinion, are: diabetes duration, glycated haemoglobin, microvascular complications, comorbidities and coprescribed treatments. Severity scores will be developed by two approaches: (1) calculating a count score of severity domains; (2) through hierarchical stratification of complications. Regression models estimates will be used to calculate domains weights. Survival analyses for the association between weighted severity scores and future outcomes-cardiovascular events, hospitalisation (diabetes-related, cardiovascular) and mortality (diabetes-related, cardiovascular, all-cause mortality)-will be performed as statistical validation. The proposed EHR-based approach will quantify the T2DM severity for primary care performance management and inform the methodology for measuring severity of other primary care-managed chronic conditions. We anticipate that the developed algorithm will be a practical tool for practitioners, aid clinical management decision-making, inform stratified medicine, support future clinical trials and contribute to more effective service planning and policy-making. ETHICS AND DISSEMINATION The study protocol was approved by the Independent Scientific Advisory Committee. Some data were presented at the National Institute for Health Research School for Primary Care Research Showcase, September 2017, Oxford, UK and the Diabetes UK Professional Conference March 2018, London, UK. The study findings will be disseminated in relevant academic conferences and peer-reviewed journals.
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Affiliation(s)
- Salwa S Zghebi
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Martin K Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Darren M Ashcroft
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Chris Salisbury
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christian Mallen
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - Carolyn A Chew-Graham
- Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK
| | - David Reeves
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Harm van Marwijk
- Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK
| | - Nadeem Qureshi
- Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen Weng
- Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Niels Peek
- Division of Informatics, Imaging & Data Sciences (L5), School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Claire Planner
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Magdalena Nowakowska
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
| | - Mamas Mamas
- Keele Cardiovascular Research group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Stoke-on-Trent, UK
| | - Evangelos Kontopantelis
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK
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Abstract
Mindfulness has transdiagnostic applicability, but little is known about how people first begin to practice mindfulness and what sustains practice in the long term. The aim of the present research was to explore the experiences of a large sample of people practicing mindfulness, including difficulties with practice and associations between formal and informal mindfulness practice and wellbeing. In this cross-sectional study, 218 participants who were practicing mindfulness or had practiced in the past completed an online survey about how they first began to practice mindfulness, difficulties and supportive factors for continuing to practice, current wellbeing, and psychological flexibility. Participants had practiced mindfulness from under a year up to 43 years. There was no significant difference in the frequency of formal mindfulness practice between those who had attended a face-to-face taught course and those who had not. Common difficulties included finding time to practice formally and falling asleep during formal practice. Content analysis revealed “practical resources,” “time/routine,” “support from others,” and “attitudes and beliefs,” which were supportive factors for maintaining mindfulness practice. Informal mindfulness practice was related to positive wellbeing and psychological flexibility. Frequency (but not duration) of formal mindfulness practice was associated with positive wellbeing; however, neither frequency nor duration of formal mindfulness practice was significantly associated with psychological flexibility. Mindfulness teachers will be able to use the present findings to further support their students by reminding them of the benefits as well as normalising some of the challenges of mindfulness practice including falling asleep.
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Affiliation(s)
- Kelly Birtwell
- 1University of Manchester, Manchester, England.,NIHR School for Primary Care Research, Manchester, England
| | | | - Harm van Marwijk
- 3Brighton and Sussex Medical School, University of Brighton, Brighton, England
| | - Christopher J Armitage
- 1University of Manchester, Manchester, England.,NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, England
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Kontopantelis E, Mamas MA, van Marwijk H, Ryan AM, Bower P, Guthrie B, Doran T. Chronic morbidity, deprivation and primary medical care spending in England in 2015-16: a cross-sectional spatial analysis. BMC Med 2018; 16:19. [PMID: 29439705 PMCID: PMC5812046 DOI: 10.1186/s12916-017-0996-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [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: 08/25/2017] [Accepted: 12/15/2017] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Primary care provides the foundation for most modern health-care systems, and in the interests of equity, it should be resourced according to local need. We aimed to describe spatially the burden of chronic conditions and primary medical care funding in England at a low geographical level, and to measure how much variation in funding is explained by chronic condition prevalence and other patient and regional factors. METHODS We used multiple administrative data sets including chronic condition prevalence and management data (2014/15), funding for primary-care practices (2015-16), and geographical and area deprivation data (2015). Data were assigned to a low geographical level (average 1500 residents). We investigated the overall morbidity burden across 19 chronic conditions and its regional variation, spatial clustering and association with funding and area deprivation. A linear regression model was used to explain local variation in spending using patient demographics, morbidity, deprivation and regional characteristics. RESULTS Levels of morbidity varied within and between regions, with several clusters of very high morbidity identified. At the regional level, morbidity was modestly associated with practice funding, with the North East and North West appearing underfunded. The regression model explained 39% of the variability in practice funding, but even after adjusting for covariates, a large amount of variability in funding existed across regions. High morbidity and, especially, rural location were very strongly associated with higher practice funding, while associations were more modest for high deprivation and older age. CONCLUSIONS Primary care funding in England does not adequately reflect the contemporary morbidity burden. More equitable resource allocation could be achieved by making better use of routinely available information and big data resources. Similar methods could be deployed in other countries where comparable data are collected, to identify morbidity clusters and to target funding to areas of greater need.
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Affiliation(s)
- Evangelos Kontopantelis
- Division of Population Health, Health Services Research & Primary Care; Faculty of Biology, Medicine and Health, University of Manchester, Greater Manchester, UK. .,NIHR School for Primary Care Research, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Williamson Building, Greater Manchester, UK.
| | - Mamas A Mamas
- Science and Technology in Medicine, Keele University, Staffordshire, UK
| | - Harm van Marwijk
- Division of Population Health, Health Services Research & Primary Care; Faculty of Biology, Medicine and Health, University of Manchester, Greater Manchester, UK.,NIHR School for Primary Care Research, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Williamson Building, Greater Manchester, UK
| | - Andrew M Ryan
- School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Peter Bower
- Division of Population Health, Health Services Research & Primary Care; Faculty of Biology, Medicine and Health, University of Manchester, Greater Manchester, UK.,NIHR School for Primary Care Research, Faculty of Biology, Medicine and Health, University of Manchester, 5th Floor Williamson Building, Greater Manchester, UK
| | - Bruce Guthrie
- Population Health Sciences Division, School of Medicine, University of Dundee, Dundee, UK
| | - Tim Doran
- Department of Health Sciences, University of York, Yorkshire, UK
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Kontopantelis E, Mamas MA, van Marwijk H, Ryan AM, Buchan IE, Ashcroft DM, Doran T. Geographical epidemiology of health and overall deprivation in England, its changes and persistence from 2004 to 2015: a longitudinal spatial population study. J Epidemiol Community Health 2017; 72:140-147. [PMID: 29263178 DOI: 10.1136/jech-2017-209999] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [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: 09/18/2017] [Revised: 11/20/2017] [Accepted: 11/21/2017] [Indexed: 11/04/2022]
Abstract
BACKGROUND Socioeconomic deprivation is a key determinant for health. In England, the Index of Multiple Deprivation (IMD) is a widely used composite measure of deprivation. However, little is known about its spatial clustering or persistence across time. METHODS Data for overall IMD and its health domain were analysed for 2004-2015 at a low geographical area (average of 1500 people). Levels and temporal changes were spatially visualised for the whole of England and its 10 administrative regions. Spatial clustering was quantified using Moran's I, correlations over time were quantified using Pearson's r. RESULTS Between 2004 and 2015 we observed a strong persistence for both overall (r=0.94) and health-related deprivation (r=0.92). At the regional level, small changes were observed over time, but with areas slowly regressing towards the mean. However, for the North East, North West and Yorkshire, where health-related deprivation was the highest, the decreasing trend in health-related deprivation reversed and we noticed increases in 2015. Results did not support our hypothesis of increasing spatial clustering over time. However, marked regional variability was observed in both aggregate deprivation outcomes. The lowest autocorrelation was seen in the North East and changed very little over time, while the South East had the highest autocorrelation at all time points. CONCLUSIONS Overall and health-related deprivation patterns persisted in England, with large and unchanging health inequalities between the North and the South. The spatial aspect of deprivation can inform the targeting of health and social care interventions, particularly in areas with high levels of deprivation clustering.
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Affiliation(s)
- Evangelos Kontopantelis
- Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK.,NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| | - Mamas A Mamas
- Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Keele, UK
| | - Harm van Marwijk
- Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK.,NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| | - Andrew M Ryan
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Iain E Buchan
- Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK.,Microsoft Research, American College of Medical Informatics, Cambridge, UK
| | - Darren M Ashcroft
- Division of Pharmacy and Optometry, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Tim Doran
- Department of Health Sciences, University of York, Yorkshire, UK
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Janssen N, Huibers MJ, Lucassen P, Voshaar RO, van Marwijk H, Bosmans J, Pijnappels M, Spijker J, Hendriks GJ. Behavioural activation by mental health nurses for late-life depression in primary care: a randomized controlled trial. BMC Psychiatry 2017; 17:230. [PMID: 28651589 PMCID: PMC5485578 DOI: 10.1186/s12888-017-1388-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Depressive symptoms are common in older adults. The effectiveness of pharmacological treatments and the availability of psychological treatments in primary care are limited. A behavioural approach to depression treatment might be beneficial to many older adults but such care is still largely unavailable. Behavioural Activation (BA) protocols are less complicated and more easy to train than other psychological therapies, making them very suitable for delivery by less specialised therapists. The recent introduction of the mental health nurse in primary care centres in the Netherlands has created major opportunities for improving the accessibility of psychological treatments for late-life depression in primary care. BA may thus address the needs of older patients while improving treatment outcome and lowering costs.The primary objective of this study is to compare the effectiveness and cost-effectiveness of BA in comparison with treatment as usual (TAU) for late-life depression in Dutch primary care. A secondary goal is to explore several potential mechanisms of change, as well as predictors and moderators of treatment outcome of BA for late-life depression. METHODS/DESIGN Cluster-randomised controlled multicentre trial with two parallel groups: a) behavioural activation, and b) treatment as usual, conducted in primary care centres with a follow-up of 52 weeks. The main inclusion criterion is a PHQ-9 score > 9. Patients are excluded from the trial in case of severe mental illness that requires specialized treatment, high suicide risk, drug and/or alcohol abuse, prior psychotherapy, change in dosage or type of prescribed antidepressants in the previous 12 weeks, or moderate to severe cognitive impairment. The intervention consists of 8 weekly 30-min BA sessions delivered by a trained mental health nurse. DISCUSSION We expect BA to be an effective and cost-effective treatment for late-life depression compared to TAU. BA delivered by mental health nurses could increase the availability and accessibility of non-pharmacological treatments for late-life depression in primary care. TRIAL REGISTRATION This study is retrospectively registered in the Dutch Clinical Trial Register NTR6013 on August 25th 2016.
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Affiliation(s)
- Noortje Janssen
- 0000000122931605grid.5590.9Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands ,0000 0004 0444 9382grid.10417.33Department of Primary and Community Care, Radboud University Medical Centre Nijmegen, Nijmegen, The Netherlands ,Institute for Integrated Mental Health Care “Pro Persona, Nijmegen, The Netherlands
| | - Marcus J.H. Huibers
- 0000 0004 1754 9227grid.12380.38Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Peter Lucassen
- 0000 0004 0444 9382grid.10417.33Department of Primary and Community Care, Radboud University Medical Centre Nijmegen, Nijmegen, The Netherlands
| | - Richard Oude Voshaar
- 0000 0004 0407 1981grid.4830.fUniversity Medical Center Groningen, Interdisciplinary Center for Psychopathology of Emotion regulation (ICPE), University of Groningen, Groningen, The Netherlands
| | - Harm van Marwijk
- 0000000121662407grid.5379.8Centre for Primary Care, Institute for Population Health, University of Manchester, Manchester, UK ,0000 0004 1754 9227grid.12380.38Department of Health Sciences and EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU university Amsterdam, Amsterdam, The Netherlands
| | - Judith Bosmans
- 0000 0004 1754 9227grid.12380.38Department of Health Sciences and EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU university Amsterdam, Amsterdam, The Netherlands
| | - Mirjam Pijnappels
- 0000 0004 1754 9227grid.12380.38MOVE Research Institute Amsterdam, Faculty of Human Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands
| | - Jan Spijker
- 0000000122931605grid.5590.9Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands ,Institute for Integrated Mental Health Care “Pro Persona, Nijmegen, The Netherlands ,0000 0004 0444 9382grid.10417.33Department of Psychiatry, Radboud University Medical Centre Nijmegen, Nijmegen, The Netherlands
| | - Gert-Jan Hendriks
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands. .,Institute for Integrated Mental Health Care "Pro Persona, Nijmegen, The Netherlands. .,Department of Psychiatry, Radboud University Medical Centre Nijmegen, Nijmegen, The Netherlands.
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Kolovos S, Bosmans JE, van Dongen JM, van Esveld B, Magai D, van Straten A, van der Feltz-Cornelis C, van Steenbergen-Weijenburg KM, Huijbregts KM, van Marwijk H, Riper H, van Tulder MW. Utility scores for different health states related to depression: individual participant data analysis. Qual Life Res 2017; 26:1649-1658. [PMID: 28260149 PMCID: PMC5486895 DOI: 10.1007/s11136-017-1536-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2017] [Indexed: 01/30/2023]
Abstract
OBJECTIVES Depression is associated with considerable impairments in health-related quality-of-life. However, the relationship between different health states related to depression severity and utility scores is unclear. The aim of this study was to evaluate whether utility scores are different for various health states related to depression severity. METHODS We gathered individual participant data from ten randomized controlled trials evaluating depression treatments. The UK EQ-5D and SF-6D tariffs were used to generate utility scores. We defined five health states that were proposed from American Psychiatric Association and National Institute for Clinical Excellence guidelines: remission, minor depression, mild depression, moderate depression, and severe depression. We performed multilevel linear regression analysis. RESULTS We included 1629 participants in the analyses. The average EQ-5D utility scores for the five health states were 0.70 (95% CI 0.67-0.73) for remission, 0.62 (95% CI 0.58-0.65) for minor depression, 0.57 (95% CI 0.54-0.61) for mild depression, 0.52 (95%CI 0.49-0.56) for moderate depression, and 0.39 (95% CI 0.35-0.43) for severe depression. In comparison with the EQ-5D, the utility scores based on the SF-6D were similar for remission (EQ-5D = 0.70 vs. SF-6D = 0.69), but higher for severe depression (EQ-5D = 0.39 vs. SF-6D = 0.55). CONCLUSIONS We observed statistically significant differences in utility scores between depression health states. Individuals with less severe depressive symptoms had on average statistically significant higher utility scores than individuals suffering from more severe depressive symptomatology. In the present study, EQ-5D had a larger range of values as compared to SF-6D.
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Affiliation(s)
- Spyros Kolovos
- Department of Health Sciences, and the EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
| | - Judith E Bosmans
- Department of Health Sciences, and the EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Johanna M van Dongen
- Department of Health Sciences, and the EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Birre van Esveld
- Department of Health Sciences, and the EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Dorcas Magai
- Department of Clinical, Neuro and Developmental Psychology, and the EMGO Institute for Health and Care Research, Faculty of Behavioural and Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands
| | - Annemieke van Straten
- Department of Clinical, Neuro and Developmental Psychology, and the EMGO Institute for Health and Care Research, Faculty of Behavioural and Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands
| | - Christina van der Feltz-Cornelis
- Department of Social Psychiatry Tranzo, Tilburg University, Tilburg, The Netherlands
- Clinical Centre of Excellence for Body, Mind and Health, GGz Breburg, Tilburg, The Netherlands
| | | | | | - Harm van Marwijk
- Centre for Primary Care, Institute for Population Health, University of Manchester, Manchester, UK
- Department of General Practice and Elderly Care Medicine, VU University Medical Centre, Amsterdam, The Netherlands
| | - Heleen Riper
- Department of Clinical, Neuro and Developmental Psychology, and the EMGO Institute for Health and Care Research, Faculty of Behavioural and Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands
| | - Maurits W van Tulder
- Department of Health Sciences, and the EMGO Institute for Health and Care Research, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
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Panagioti M, Panagopoulou E, Bower P, Lewith G, Kontopantelis E, Chew-Graham C, Dawson S, van Marwijk H, Geraghty K, Esmail A. Controlled Interventions to Reduce Burnout in Physicians: A Systematic Review and Meta-analysis. JAMA Intern Med 2017; 177:195-205. [PMID: 27918798 DOI: 10.1001/jamainternmed.2016.7674] [Citation(s) in RCA: 680] [Impact Index Per Article: 97.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Burnout is prevalent in physicians and can have a negative influence on performance, career continuation, and patient care. Existing evidence does not allow clear recommendations for the management of burnout in physicians. OBJECTIVE To evaluate the effectiveness of interventions to reduce burnout in physicians and whether different types of interventions (physician-directed or organization-directed interventions), physician characteristics (length of experience), and health care setting characteristics (primary or secondary care) were associated with improved effects. DATA SOURCES MEDLINE, Embase, PsycINFO, CINAHL, and Cochrane Register of Controlled Trials were searched from inception to May 31, 2016. The reference lists of eligible studies and other relevant systematic reviews were hand searched. STUDY SELECTION Randomized clinical trials and controlled before-after studies of interventions targeting burnout in physicians. DATA EXTRACTION AND SYNTHESIS Two independent reviewers extracted data and assessed the risk of bias. The main meta-analysis was followed by a number of prespecified subgroup and sensitivity analyses. All analyses were performed using random-effects models and heterogeneity was quantified. MAIN OUTCOMES AND MEASURES The core outcome was burnout scores focused on emotional exhaustion, reported as standardized mean differences and their 95% confidence intervals. RESULTS Twenty independent comparisons from 19 studies were included in the meta-analysis (n = 1550 physicians; mean [SD] age, 40.3 [9.5] years; 49% male). Interventions were associated with small significant reductions in burnout (standardized mean difference [SMD] = -0.29; 95% CI, -0.42 to -0.16; equal to a drop of 3 points on the emotional exhaustion domain of the Maslach Burnout Inventory above change in the controls). Subgroup analyses suggested significantly improved effects for organization-directed interventions (SMD = -0.45; 95% CI, -0.62 to -0.28) compared with physician-directed interventions (SMD = -0.18; 95% CI, -0.32 to -0.03). Interventions delivered in experienced physicians and in primary care were associated with higher effects compared with interventions delivered in inexperienced physicians and in secondary care, but these differences were not significant. The results were not influenced by the risk of bias ratings. CONCLUSIONS AND RELEVANCE Evidence from this meta-analysis suggests that recent intervention programs for burnout in physicians were associated with small benefits that may be boosted by adoption of organization-directed approaches. This finding provides support for the view that burnout is a problem of the whole health care organization, rather than individuals.
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Affiliation(s)
- Maria Panagioti
- National Institute of Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, England
| | - Efharis Panagopoulou
- Laboratory of Hygiene, Aristotle Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Peter Bower
- National Institute of Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, England
| | - George Lewith
- Complementary and Integrated Medicine Research Unit, Primary Medical Care Aldermoor Health Centre, Southampton, England
| | - Evangelos Kontopantelis
- National Institute of Health Research School for Primary Care Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, England4Farr Institute for Health Informatics Research, Vaughan House, University of Manchester, Manchester, England
| | - Carolyn Chew-Graham
- Research Institute, Primary Care and Health Sciences, Keele University, Staffordshire, England
| | - Shoba Dawson
- National Institute of Health Research Greater Manchester Primary Care Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, England
| | - Harm van Marwijk
- National Institute of Health Research Greater Manchester Primary Care Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, England
| | - Keith Geraghty
- National Institute of Health Research School for Primary Care Research, Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, England
| | - Aneez Esmail
- National Institute of Health Research Greater Manchester Primary Care Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, England
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Tylee A, Barley EA, Walters P, Achilla E, Borschmann R, Leese M, McCrone P, Palacios J, Smith A, Simmonds R, Rose D, Murray J, van Marwijk H, Williams P, Mann A. UPBEAT-UK: a programme of research into the relationship between coronary heart disease and depression in primary care patients. Programme Grants Appl Res 2016. [DOI: 10.3310/pgfar04080] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BackgroundDepression is common in patients with coronary heart disease (CHD) but the relationship is uncertain. In the UK, general practitioners (GPs) have been remunerated for finding depression in CHD patients; however, it is unclear how to manage these patients.ObjectivesOur aim was to explore the relationship between CHD and depression in a GP population and to develop nurse-led personalised care (PC) for patients with CHD and depression.DesignThe UPBEAT-UK study consisted of four related studies. A cohort study of patients from CHD registers to explore the relationship between CHD and depression. A metasynthesis of relevant literature and two qualitative studies [patients’ perspectives and GP/practice nurse (PN) views on management of CHD and depression] helped develop an intervention. A pilot randomised controlled trial (RCT) of PC was conducted.SettingThirty-three GP surgeries in south London.ParticipantsAdult patients on GP CHD registers.InterventionsFrom the qualitative studies, we developed nurse-led PC, combining case management and self-management theory. Following biopsychosocial assessment, a PC plan was devised for each patient with chest pain and depressive symptoms. Nurses helped patients address their most important related problems. Use of existing resources was promoted. Nurse time was conserved through telephone follow-up.Main outcome measuresThe main outcome of the pilot study of our newly developed PC for people with depression and CHD was to assess the acceptability and feasibility of the intervention and to decide on the best outcome measures. Depression, measured by the Hospital Anxiety and Depression Scale – depression subscale, and chest pain, measured by the Rose angina questionnaire, were the main outcome measures for the feasibility and cohort studies. Cardiac outcomes in the cohort study included: attendance at rapid access chest pain clinics, stent insertion, bypass graft surgery, myocardial infarction and cardiovascular death. Service use and costs were measured and linked to quality-adjusted life-years (QALYs). Data for the pilot RCT were obtained by research assistants from patient interviews at baseline, 1, 6 and 12 months for the pilot RCT and at baseline and 6-monthly interviews for up to 36 months for the cohort study, using standard questionnaires.ResultsPersonalised care was acceptable to patients and proved feasible. The reporting of chest pain in the intervention group was half that of the control group at 6 months, and this reduction was maintained at 1 year. There was also a small improvement in self-efficacy measures in the intervention group at 12 months. Anxiety was more prevalent than depression in our CHD cohort over the 3 years. Nearly half of the cohort complained of chest pain at outset, with two-thirds of these being suggestive of angina. Baseline exertional chest pain (suggestive of angina), anxiety and depression were independent predictors of adverse cardiac outcome. Psychosocial factors predicted the continued reporting of exertional chest pain across the 3 years of follow-up. Costs were slightly lower for the PC group but QALYs were also lower. Neither difference was statistically significant.ConclusionsChest pain, anxiety, depression and social problems are common in patients on CHD registers in primary care and predict adverse cardiac outcomes. Together they pose a complex management problem for GPs and PNs. Our pilot trial of PC suggests a promising approach for treatment of these patients. Generalisation is limited because of the selection bias in recruitment of the practices and the subsequent participation rate of the CHD register patients, and the fact that the research took place in south London boroughs. Future work should explicitly explore methods for effective implementation of the intervention, including staff training needs and changes to practice.Trial registrationCurrent Controlled Trials ISRCTN21615909.FundingThis project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full inProgramme Grants for Applied Research; Vol. 4, No. 8. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- André Tylee
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Elizabeth A Barley
- Florence Nightingale School of Nursing and Midwifery, King’s College London, London, UK
| | - Paul Walters
- Weymouth and Portland Community Mental Health Team, Dorset HealthCare University NHS Foundation Trust and Bournemouth University, Dorset, UK
| | - Evanthia Achilla
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Rohan Borschmann
- Centre of Adolescent Health, The Royal Children’s Hospital, Melbourne, VIC, Australia
| | - Morven Leese
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paul McCrone
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jorge Palacios
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Alison Smith
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Rosemary Simmonds
- Academic Unit of Primary Health Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Diana Rose
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Joanna Murray
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Harm van Marwijk
- Department of General Practice and Elderly Care Medicine, VU University Medical Centre, Amsterdam, the Netherlands
| | - Paul Williams
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Anthony Mann
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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van Eck van der Sluijs J, ten Have M, Rijnders C, van Marwijk H, de Graaf R, van der Feltz-Cornelis C. Medically unexplained and explained physical symptoms in the general population: association with prevalent and incident mental disorders. PLoS One 2015; 10:e0123274. [PMID: 25853676 PMCID: PMC4390312 DOI: 10.1371/journal.pone.0123274] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Accepted: 02/18/2015] [Indexed: 12/02/2022] Open
Abstract
Background Clinical studies have shown that Medically Unexplained Symptoms (MUS) are related to common mental disorders. It is unknown how often common mental disorders occur in subjects who have explained physical symptoms (PHY), MUS or both, in the general population, what the incidence rates are, and whether there is a difference between PHY and MUS in this respect. Aim To study the prevalence and incidence rates of mood, anxiety and substance use disorders in groups with PHY, MUS and combined MUS and PHY compared to a no-symptoms reference group in the general population. Method Data were derived from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a nationally representative face-to-face survey of the general population aged 18-64 years. We selected subjects with explained physical symptoms only (n=1952), with MUS only (n=177), with both MUS and PHY (n=209), and a reference group with no physical symptoms (n=4168). The assessment of common mental disorders was through the Composite International Diagnostic Interview 3.0. Multivariate logistic regression analyses were used to examine the association between group membership and the prevalence and first-incidence rates of comorbid mental disorders, adjusted for socio-demographic characteristics. Results MUS were associated with the highest prevalence rates of mood and anxiety disorders, and combined MUS and PHY with the highest prevalence rates of substance disorder. Combined MUS and PHY were associated with a higher incidence rate of mood disorder only (OR 2.9 (95%CI:1.27,6.74)). Conclusion In the general population, PHY, MUS and the combination of both are related to mood and anxiety disorder, but odds are highest for combined MUS and PHY in relation to substance use disorder. Combined MUS and PHY are related to a greater incidence of mood disorder. These findings warrant further research into possibilities to improve recognition and early intervention in subjects with combined MUS and PHY.
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Affiliation(s)
- Jonna van Eck van der Sluijs
- Topclinical Centre for Body, Mind and Health, GGz Breburg, Tilburg, The Netherlands
- Tranzo department, Tilburg University, Tilburg, the Netherlands
- * E-mail:
| | - Margreet ten Have
- Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Cees Rijnders
- Department of Residency training, GGz Breburg, Tilburg, The Netherlands
| | - Harm van Marwijk
- Centre for Primary Care, Institute of Population Health, University of Manchester, Manchester, United Kingdom
- Department of General Practice & Elderly Care Medicine and the EMGO+-Institute for Health and Care Research of VU University medical centre (VUmc), Amsterdam, The Netherlands
| | - Ron de Graaf
- Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Christina van der Feltz-Cornelis
- Topclinical Centre for Body, Mind and Health, GGz Breburg, Tilburg, The Netherlands
- Tranzo department, Tilburg University, Tilburg, the Netherlands
- Department of Residency training, GGz Breburg, Tilburg, The Netherlands
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Kok G, Burger H, Riper H, Cuijpers P, Dekker J, van Marwijk H, Smit F, Beck A, Bockting CLH. The Three-Month Effect of Mobile Internet-Based Cognitive Therapy on the Course of Depressive Symptoms in Remitted Recurrently Depressed Patients: Results of a Randomized Controlled Trial. Psychother Psychosom 2015; 84:90-99. [PMID: 25721915 DOI: 10.1159/000369469] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Accepted: 10/15/2014] [Indexed: 11/19/2022]
Abstract
Background: Internet-based cognitive therapy with monitoring via text messages (mobile CT), in addition to treatment as usual (TAU), might offer a cost-effective way to treat recurrent depression. Method: Remitted patients with at least 2 previous episodes of depression were randomized to mobile CT in addition to TAU (n = 126) or TAU only (n = 113). A linear mixed model was used to examine the effect of the treatment condition on a 3-month course of depressive symptoms after remission. Both an intention-to-treat analysis (n = 239) and a completer analysis (n = 193) were used. Depressive symptoms were assessed using the Inventory of Depressive Symptomatology (IDS-SR30) at baseline and 1.5 and 3 months after randomization. Results: Residual depressive symptoms showed a small but statistically significant decrease in the intention-to-treat group over 3 months in the mobile CT group relative to the TAU group (difference: -1.60 points on the IDS-SR30 per month, 95% CI = -2.64 to -0.56, p = 0.003). The effect of the treatment condition on the depressive symptomatology at the 3-month follow-up was small to moderate (Cohen's d = 0.44). All analyses among completers (≥5 modules) showed more pronounced treatment effects. Adjustment for unequally distributed variables did not markedly affect the results. Conclusions: Residual depressive symptoms after remission showed a more favorable course over 3 months in the mobile CT group compared to the TAU group. These results are a first indication that mobile CT in addition to TAU is effective in treating recurrently depressed patients in remission. However, demonstration of its long-term effectiveness and replication remains necessary. © 2015 S. Karger AG, Basel.
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Affiliation(s)
- Gemma Kok
- Department of Clinical Psychology, University of Groningen, University Medical Center Groningen, Groningen, Germany
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Abstract
BACKGROUND Somatoform disorders are characterised by chronic, medically unexplained physical symptoms (MUPS). Although different medications are part of treatment routines for people with somatoform disorders in clinics and private practices, there exists no systematic review or meta-analysis on the efficacy and tolerability of these medications. We aimed to synthesise to improve optimal treatment decisions. OBJECTIVES To assess the effects of pharmacological interventions for somatoform disorders (specifically somatisation disorder, undifferentiated somatoform disorder, somatoform autonomic dysfunction, and pain disorder) in adults. SEARCH METHODS We searched the Cochrane Depression, Anxiety and Neurosis Review Group's Specialised Register (CCDANCTR) (to 17 January 2014). This register includes relevant randomised controlled trials (RCTs) from The Cochrane Library (all years), MEDLINE (1950 to date), EMBASE (1974 to date), and PsycINFO (1967 to date). To identify ongoing trials, we searched ClinicalTrials.gov, Current Controlled Trials metaRegister, the World Health Organization International Clinical Trials Registry Platform, and the Chinese Clinical Trials Registry. For grey literature, we searched ProQuest Dissertation & Theses Database, OpenGrey, and BIOSIS Previews. We handsearched conference proceedings and reference lists of potentially relevant papers and systematic reviews and contacted experts in the field. SELECTION CRITERIA We selected RCTs or cluster RCTs of pharmacological interventions versus placebo, treatment as usual, another medication, or a combination of different medications for somatoform disorders in adults. We included people fulfilling standardised diagnostic criteria for somatisation disorder, undifferentiated somatoform disorder, somatoform autonomic dysfunction, or somatoform pain disorder. DATA COLLECTION AND ANALYSIS One review author and one research assistant independently extracted data and assessed risk of bias. Primary outcomes included the severity of MUPS on a continuous measure, and acceptability of treatment. MAIN RESULTS We included 26 RCTs (33 reports), with 2159 participants, in the review. They examined the efficacy of different types of antidepressants, the combination of an antidepressant and an antipsychotic, antipsychotics alone, or natural products (NPs). The duration of the studies ranged between two and 12 weeks.One meta-analysis of placebo-controlled studies showed no clear evidence of a significant difference between tricyclic antidepressants (TCAs) and placebo for the outcome severity of MUPS (SMD -0.13; 95% CI -0.39 to 0.13; 2 studies, 239 participants; I(2) = 2%; low-quality evidence). For new-generation antidepressants (NGAs), there was very low-quality evidence showing they were effective in reducing the severity of MUPS (SMD -0.91; 95% CI -1.36 to -0.46; 3 studies, 243 participants; I(2) = 63%). For NPs there was low-quality evidence that they were effective in reducing the severity of MUPS (SMD -0.74; 95% CI -0.97 to -0.51; 2 studies, 322 participants; I(2) = 0%).One meta-analysis showed no clear evidence of a difference between TCAs and NGAs for severity of MUPS (SMD -0.16; 95% CI -0.55 to 0.23; 3 studies, 177 participants; I(2) = 42%; low-quality evidence). There was also no difference between NGAs and other NGAs for severity of MUPS (SMD -0.16; 95% CI -0.45 to 0.14; 4 studies, 182 participants; I(2) = 0%).Finally, one meta-analysis comparing selective serotonin reuptake inhibitors (SSRIs) with a combination of SSRIs and antipsychotics showed low-quality evidence in favour of combined treatment for severity of MUPS (SMD 0.77; 95% CI 0.32 to 1.22; 2 studies, 107 participants; I(2) = 23%).Differences regarding the acceptability of the treatment (rate of all-cause drop-outs) were neither found between NGAs and placebo (RR 1.01, 95% CI 0.64 to 1.61; 2 studies, 163 participants; I(2) = 0%; low-quality evidence) or NPs and placebo (RR 0.85, 95% CI 0.40 to 1.78; 3 studies, 506 participants; I(2) = 0%; low-quality evidence); nor between TCAs and other medication (RR 1.48, 95% CI 0.59 to 3.72; 8 studies, 556 participants; I(2) =14%; low-quality evidence); nor between antidepressants and the combination of an antidepressant and an antipsychotic (RR 0.80, 95% CI 0.25 to 2.52; 2 studies, 118 participants; I(2) = 0%; low-quality evidence). Percental attrition rates due to adverse effects were high in all antidepressant treatments (0% to 32%), but low for NPs (0% to 1.7%).The risk of bias was high in many domains across studies. Seventeen trials (65.4%) gave no information about random sequence generation and only two (7.7%) provided information about allocation concealment. Eighteen studies (69.2%) revealed a high or unclear risk in blinding participants and study personnel; 23 studies had high risk of bias relating to blinding assessors. For the comparison NGA versus placebo, there was relatively high imprecision and heterogeneity due to one outlier study. Although we identified 26 studies, each comparison only contained a few studies and small numbers of participants so the results were imprecise. AUTHORS' CONCLUSIONS The current review found very low-quality evidence for NGAs and low-quality evidence for NPs being effective in treating somatoform symptoms in adults when compared with placebo. There was some evidence that different classes of antidepressants did not differ in efficacy; however, this was limited and of low to very low quality. These results had serious shortcomings such as the high risk of bias, strong heterogeneity in the data, and small sample sizes. Furthermore, the significant effects of antidepressant treatment have to be balanced against the relatively high rates of adverse effects. Adverse effects produced by medication can have amplifying effects on symptom perceptions, particularly in people focusing on somatic symptoms without medical causes. We can only draw conclusions about short-term efficacy of the pharmacological interventions because no trial included follow-up assessments. For each of the comparisons where there were available data on acceptability rates (NGAs versus placebo, NPs versus placebo, TCAs versus other medication, and antidepressants versus a combination of an antidepressant and an antipsychotic), no clear differences between the intervention and comparator were found.Future high-quality research should be carried out to determine the effectiveness of medications other than antidepressants, to compare antidepressants more thoroughly, and to follow-up participants over longer periods (the longest follow up was just 12 weeks). Another idea for future research would be to include other outcomes such as functional impairment or dysfunctional behaviours and cognitions as well as the classical outcomes such as symptom severity, depression, or anxiety.
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Affiliation(s)
- Maria Kleinstäuber
- Philipps‐University MarburgDepartment of Clinical Psychology and PsychotherapyGutenbergstr. 18MarburgHessenGermanyD‐35032
| | - Michael Witthöft
- Johannes Gutenberg‐University MainzDepartment of Clinical Psychology and PsychotherapyWallstr. 3MainzRheinland‐PfalzGermanyD‐55122
| | - Andrés Steffanowski
- University of MannheimDepartment of PsychologySchloss Ehrenhof Ost (2.OG)MannheimBaden‐WürttembergGermanyD‐68131
| | - Harm van Marwijk
- VU University Medical CenterDepartment of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care ResearchPO Box 7057AmsterdamNetherlands1007 MB
| | - Wolfgang Hiller
- Johannes Gutenberg‐University MainzDepartment of Clinical Psychology and PsychotherapyWallstr. 3MainzRheinland‐PfalzGermanyD‐55122
| | - Michael J Lambert
- Brigham Young UniversityDepartment of PsychologyOffice TLRB 2721001 Kimball TowerProvoUtahUSAUT 84602‐5543
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van Dessel N, den Boeft M, van der Wouden JC, Kleinstäuber M, Leone SS, Terluin B, Numans ME, van der Horst HE, van Marwijk H. Non-pharmacological interventions for somatoform disorders and medically unexplained physical symptoms (MUPS) in adults. Cochrane Database Syst Rev 2014; 2014:CD011142. [PMID: 25362239 PMCID: PMC10984143 DOI: 10.1002/14651858.cd011142.pub2] [Citation(s) in RCA: 85] [Impact Index Per Article: 8.5] [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: 11/05/2022]
Abstract
BACKGROUND Medically unexplained physical symptoms (MUPS) are physical symptoms for which no adequate medical explanation can be found after proper examination. The presence of MUPS is the key feature of conditions known as 'somatoform disorders'. Various psychological and physical therapies have been developed to treat somatoform disorders and MUPS. Although there are several reviews on non-pharmacological interventions for somatoform disorders and MUPS, a complete overview of the whole spectrum is missing. OBJECTIVES To assess the effects of non-pharmacological interventions for somatoform disorders (specifically somatisation disorder, undifferentiated somatoform disorder, somatoform disorders unspecified, somatoform autonomic dysfunction, pain disorder, and alternative somatoform diagnoses proposed in the literature) and MUPS in adults, in comparison with treatment as usual, waiting list controls, attention placebo, psychological placebo, enhanced or structured care, and other psychological or physical therapies. SEARCH METHODS We searched the Cochrane Depression, Anxiety and Neurosis Review Group's Specialised Register (CCDANCTR) to November 2013. This register includes relevant randomised controlled trials (RCTs) from The Cochrane Library, EMBASE, MEDLINE, and PsycINFO. We ran an additional search on the Cochrane Central Register of Controlled Trials and a cited reference search on the Web of Science. We also searched grey literature, conference proceedings, international trial registers, and relevant systematic reviews. SELECTION CRITERIA We included RCTs and cluster randomised controlled trials which involved adults primarily diagnosed with a somatoform disorder or an alternative diagnostic concept of MUPS, who were assigned to a non-pharmacological intervention compared with usual care, waiting list controls, attention or psychological placebo, enhanced care, or another psychological or physical therapy intervention, alone or in combination. DATA COLLECTION AND ANALYSIS Four review authors, working in pairs, conducted data extraction and assessment of risk of bias. We resolved disagreements through discussion or consultation with another review author. We pooled data from studies addressing the same comparison using standardised mean differences (SMD) or risk ratios (RR) and a random-effects model. Primary outcomes were severity of somatic symptoms and acceptability of treatment. MAIN RESULTS We included 21 studies with 2658 randomised participants. All studies assessed the effectiveness of some form of psychological therapy. We found no studies that included physical therapy.Fourteen studies evaluated forms of cognitive behavioural therapy (CBT); the remainder evaluated behaviour therapies, third-wave CBT (mindfulness), psychodynamic therapies, and integrative therapy. Fifteen included studies compared the studied psychological therapy with usual care or a waiting list. Five studies compared the intervention to enhanced or structured care. Only one study compared cognitive behavioural therapy with behaviour therapy.Across the 21 studies, the mean number of sessions ranged from one to 13, over a period of one day to nine months. Duration of follow-up varied between two weeks and 24 months. Participants were recruited from various healthcare settings and the open population. Duration of symptoms, reported by nine studies, was at least several years, suggesting most participants had chronic symptoms at baseline.Due to the nature of the intervention, lack of blinding of participants, therapists, and outcome assessors resulted in a high risk of bias on these items for most studies. Eleven studies (52% of studies) reported a loss to follow-up of more than 20%. For other items, most studies were at low risk of bias. Adverse events were seldom reported.For all studies comparing some form of psychological therapy with usual care or a waiting list that could be included in the meta-analysis, the psychological therapy resulted in less severe symptoms at end of treatment (SMD -0.34; 95% confidence interval (CI) -0.53 to -0.16; 10 studies, 1081 analysed participants). This effect was considered small to medium; heterogeneity was moderate and overall quality of the evidence was low. Compared with usual care, psychological therapies resulted in a 7% higher proportion of drop-outs during treatment (RR acceptability 0.93; 95% CI 0.88 to 0.99; 14 studies, 1644 participants; moderate-quality evidence). Removing one outlier study reduced the difference to 5%. Results for the subgroup of studies comparing CBT with usual care were similar to those in the whole group.Five studies (624 analysed participants) assessed symptom severity comparing some psychological therapy with enhanced care, and found no clear evidence of a difference at end of treatment (pooled SMD -0.19; 95% CI -0.43 to 0.04; considerable heterogeneity; low-quality evidence). Five studies (679 participants) showed that psychological therapies were somewhat less acceptable in terms of drop-outs than enhanced care (RR 0.93; 95% CI 0.87 to 1.00; moderate-quality evidence). AUTHORS' CONCLUSIONS When all psychological therapies included this review were combined they were superior to usual care or waiting list in terms of reduction of symptom severity, but effect sizes were small. As a single treatment, only CBT has been adequately studied to allow tentative conclusions for practice to be drawn. Compared with usual care or waiting list conditions, CBT reduced somatic symptoms, with a small effect and substantial differences in effects between CBT studies. The effects were durable within and after one year of follow-up. Compared with enhanced or structured care, psychological therapies generally were not more effective for most of the outcomes. Compared with enhanced care, CBT was not more effective. The overall quality of evidence contributing to this review was rated low to moderate.The intervention groups reported no major harms. However, as most studies did not describe adverse events as an explicit outcome measure, this result has to be interpreted with caution.An important issue was that all studies in this review included participants who were willing to receive psychological treatment. In daily practice, there is also a substantial proportion of participants not willing to accept psychological treatments for somatoform disorders or MUPS. It is unclear how large this group is and how this influences the relevance of CBT in clinical practice.The number of studies investigating various treatment modalities (other than CBT) needs to be increased; this is especially relevant for studies concerning physical therapies. Future studies should include participants from a variety of age groups; they should also make efforts to blind outcome assessors and to conduct follow-up assessments until at least one year after the end of treatment.
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Affiliation(s)
- Nikki van Dessel
- EMGO Institute for Health and Care Research, VU University Medical CenterDepartment of General Practice and Elderly Care MedicineVan der Boechorststraat 7, room D‐550AmsterdamNetherlands1081 BT
| | - Madelon den Boeft
- EMGO Institute for Health and Care Research, VU University Medical CenterDepartment of General Practice and Elderly Care MedicineVan der Boechorststraat 7, room D‐550AmsterdamNetherlands1081 BT
| | - Johannes C van der Wouden
- VU University Medical CenterDepartment of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care ResearchPO Box 7057AmsterdamNetherlands1007 MB
| | - Maria Kleinstäuber
- Philipps‐University MarburgDepartment of Clinical Psychology and PsychotherapyGutenbergstr. 18MarburgHessenGermanyD‐35032
| | - Stephanie S Leone
- Netherlands Institute of Mental Health and Addiction (Trimbos Institute)Department of Public Mental HealthDa Costakade 45UtrechtNetherlands3521 VS
| | - Berend Terluin
- EMGO Institute for Health and Care Research, VU University Medical CenterDepartment of General Practice and Elderly Care MedicineVan der Boechorststraat 7, room D‐550AmsterdamNetherlands1081 BT
| | - Mattijs E Numans
- LUMCDepartment of Public Health and Primary CarePO Box 9600LeidenNetherlands2300 RC
| | - Henriëtte E van der Horst
- EMGO Institute for Health and Care Research, VU University Medical CenterDepartment of General Practice and Elderly Care MedicineVan der Boechorststraat 7, room D‐550AmsterdamNetherlands1081 BT
| | - Harm van Marwijk
- VU University Medical CenterDepartment of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care ResearchPO Box 7057AmsterdamNetherlands1007 MB
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Muntingh A, van der Feltz-Cornelis C, van Marwijk H, Spinhoven P, Assendelft W, de Waal M, Adèr H, van Balkom A. Effectiveness of collaborative stepped care for anxiety disorders in primary care: a pragmatic cluster randomised controlled trial. Psychother Psychosom 2014; 83:37-44. [PMID: 24281396 DOI: 10.1159/000353682] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Accepted: 06/11/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND Collaborative stepped care (CSC) may be an appropriate model to provide evidence-based treatment for anxiety disorders in primary care. METHODS In a cluster randomised controlled trial, the effectiveness of CSC compared to care as usual (CAU) for adults with panic disorder (PD) or generalised anxiety disorder (GAD) in primary care was evaluated. Thirty-one psychiatric nurses who provided their services to 43 primary care practices in the Netherlands were randomised to deliver CSC (16 psychiatric nurses, 23 practices) or CAU (15 psychiatric nurses, 20 practices). CSC was provided by the psychiatric nurses (care managers) in collaboration with the general practitioner and a consultant psychiatrist. The intervention consisted of 3 steps, namely guided self-help, cognitive behavioural therapy and antidepressants. Anxiety symptoms were measured with the Beck Anxiety Inventory (BAI) at baseline and after 3, 6, 9 and 12 months. RESULTS We recruited 180 patients with a DSM-IV diagnosis of PD or GAD, of whom 114 received CSC and 66 received usual primary care. On the BAI, CSC was superior to CAU [difference in gain scores from baseline to 3 months: -5.11, 95% confidence interval (CI) -8.28 to -1.94; 6 months: -4.65, 95% CI -7.93 to -1.38; 9 months: -5.67, 95% CI -8.97 to -2.36; 12 months: -6.84, 95% CI -10.13 to -3.55]. CONCLUSIONS CSC, with guided self-help as a first step, was more effective than CAU for primary care patients with PD or GAD.
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Affiliation(s)
- Anna Muntingh
- Netherlands Institute of Mental Health and Addiction (Trimbos Institute), Utrecht, The Netherlands
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Goorden M, Muntingh A, van Marwijk H, Spinhoven P, Adèr H, van Balkom A, van der Feltz-Cornelis C, Hakkaart-van Roijen L. Cost utility analysis of a collaborative stepped care intervention for panic and generalized anxiety disorders in primary care. J Psychosom Res 2014; 77:57-63. [PMID: 24913343 DOI: 10.1016/j.jpsychores.2014.04.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [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: 02/17/2014] [Revised: 04/11/2014] [Accepted: 04/14/2014] [Indexed: 10/25/2022]
Abstract
OBJECTIVE Generalized anxiety and panic disorders are a burden on the society because they are costly and have a significant adverse effect on quality of life. The aim of this study was to evaluate the cost-utility of a collaborative stepped care intervention for panic disorder and generalized anxiety disorder in primary care compared to care as usual from a societal perspective. METHODS The design of the study was a two armed cluster randomized controlled trial. In total 43 primary care practices in the Netherlands participated in the study. Eventually, 180 patients were included (114 collaborative stepped care, 66 care as usual). Baseline measures and follow-up measures (3, 6, 9 and 12 months) were assessed using questionnaires. We applied the TiC-P, the SF-HQL and the EQ-5D respectively measuring health care utilization, production losses and health related quality of life. RESULTS The average annual direct medical costs in the collaborative stepped care group were 1854 Euro (95% C.I., 1726 to 1986) compared to €1503 (95% C.I., 1374 to 1664) in the care as usual group. The average quality of life years (QALYs) gained was 0.05 higher in the collaborative stepped care group, leading to an incremental cost effectiveness ratio (ICER) of 6965 Euro per QALY. Inclusion of the productivity costs, consequently reflecting the full societal costs, decreased the ratio even more. CONCLUSION The study showed that collaborative stepped care was a cost effective intervention for panic disorder and generalized anxiety disorder and was even dominant when a societal perspective was taken. TRIAL REGISTRATION trialregister.nl, Netherlands Trial Register NTR107.
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Affiliation(s)
- Maartje Goorden
- Institute for Medical Technology Assessment, Institute of Health Policy & Management, PO Box 1783, Rotterdam, The Netherlands.
| | - Anna Muntingh
- Netherlands Institute of Mental Health and Addiction (Trimbos Institute), PO Box 725, Utrecht, The Netherlands; Faculty of Social Sciences, Tranzo Department, Tilburg University, PO Box 90153, Tilburg, The Netherlands; Department of Psychiatry, VU University Medical Centre, Amsterdam, The Netherlands
| | - Harm van Marwijk
- Department of General Practice, VU University Medical Centre, Amsterdam, The Netherlands; EMGO Institute for Health and Care Research (EMGO+), PO Box 7057, Amsterdam, The Netherlands
| | - Philip Spinhoven
- Institute of Psychology, Leiden University, PO Box 9555, Leiden, The Netherlands; Department of Psychiatry, Leiden University Medical Centre, PO Box 9600, Leiden, The Netherlands
| | - Herman Adèr
- Johannes van Kessel Advising, Huizen, The Netherlands
| | - Anton van Balkom
- Department of Psychiatry, VU University Medical Centre, Amsterdam, The Netherlands
| | - Christina van der Feltz-Cornelis
- Netherlands Institute of Mental Health and Addiction (Trimbos Institute), PO Box 725, Utrecht, The Netherlands; Clinical Centre for Body, Mind and Health, GGZ Breburg, Tilburg, The Netherlands; Faculty of Social Sciences, Tranzo Department, Tilburg University, PO Box 90153, Tilburg, The Netherlands
| | - Leona Hakkaart-van Roijen
- Institute for Medical Technology Assessment, Institute of Health Policy & Management, PO Box 1783, Rotterdam, The Netherlands
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Van Dessel N, Den Boeft M, van der Wouden JC, Kleinstäuber M, Leone SS, Terluin B, Numans ME, van der Horst HE, van Marwijk H. Non-pharmacological interventions for somatoform disorders and medically-unexplained physical symptoms (MUPS) in adults. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2014. [DOI: 10.1002/14651858.cd011142] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Le Reste JY, Nabbe P, Lygidakis C, Doerr C, Lingner H, Czachowski S, Munoz M, Argyriadou S, Claveria A, Calvez A, Barais M, Lietard C, Van Royen P, van Marwijk H. A Research Group from the European General Practice Research Network (EGPRN) Explores the Concept of Multimorbidity for Further Research into Long Term Care. J Am Med Dir Assoc 2013; 14:132-3. [DOI: 10.1016/j.jamda.2012.07.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2012] [Accepted: 07/30/2012] [Indexed: 10/27/2022]
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Abstract
BACKGROUND The 'off-label' effect of alprazolam on depression has not been systematically evaluated. OBJECTIVES To determine the antidepressant effect, including tolerability and acceptability, of alprazolam as monotherapy for major depression, when compared to placebo and conventional antidepressants in outpatients and patients in primary care. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials and the Cochrane Depression, Anxiety and Neurosis Group Register, which includes relevant randomised controlled trials from the following bibliographic databases: The Cochrane Library (all years to February 2012); EMBASE (1970 to February 2012); MEDLINE (1950 to February 2012) and PsycINFO (1960 to February 2012). Two review authors identified relevant trials by assessing the abstracts of all possible studies. We applied no language restrictions. SELECTION CRITERIA We selected randomised controlled trials (RCTs) of alprazolam versus placebo or conventional antidepressants for depression in adults, excluding studies with inpatients only. DATA COLLECTION AND ANALYSIS Two review authors performed the data extraction and 'Risk of bias' assessment independently with disagreements resolved through discussion with a third review author. Primary outcomes included the mean difference (MD) in reduction of depression on a continuous measure of depression symptoms, and the risk ratio (RR) of the clinical response based on a dichotomous measure, with 95% confidence intervals (CI). MAIN RESULTS We identified 21 alprazolam studies (22 reports) with a total of 2693 participants. Seven studies used a placebo (n = 771) and 20 used cyclic antidepressants (n = 1765). The typical duration of the studies was four to six weeks. We considered six studies to have a high risk of bias.When alprazolam was compared with placebo for reduction in symptoms all estimates indicated a positive effect for alprazolam. Pooled estimates of efficacy data showed a moderately large continuous mean difference (MD) at the end of trial (-5.34, 95% CI -7.48 to -3.20; I(2) = 68%). The risk difference (RD) for the dichotomous measure of clinical response (50% improvement) was 0.32 in favour of alprazolam (95% CI 0.22 to 0.42; I(2) = 0%), with a number needed to treat to benefit (NNTB) of 3 (95% CI 2 to 5). The RD of all-cause withdrawals did not differ between alprazolam and placebo.When depression severity was measured as a continuum the effect of alprazolam did not differ statistically or clinically from the effects of any of the conventional antidepressants combined (MD 0.25, 95% CI -0.93 to 1.43; I(2) = 55%). However, for dichotomised depression severity, alprazolam had less effect than antidepressants (RR 0.86, 95% CI 0.75 to 0.99; I(2) = 37%; RD -0.11, 95% CI -0.24 to 0.01; I(2) = 58%; NNTB 9, 95% CI 4 to 100). The RD of all-cause withdrawals was -0.04 (95% CI -0.07 to 0.00; I(2) = 35%), in favour of alprazolam. AUTHORS' CONCLUSIONS Alprazolam appears to reduce depressive symptoms more effectively than placebo and as effectively as tricyclic antidepressants. However, the studies included in the review were heterogeneous, of poor quality and only addressed short-term effects, thus limiting our confidence in the findings. Whilst the rate of all-cause withdrawals did not appear to differ between alprazolam and placebo, and withdrawals were less frequent in the alprazolam group than in any of the conventional antidepressants combined group, these findings should be interpreted with caution, given the dependency properties of benzodiazepines.
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Affiliation(s)
- Harm van Marwijk
- Department of General Practice, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, Netherlands.
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Prins M, Bosmans J, Verhaak P, van der Meer K, van Tulder M, van Marwijk H, Laurant M, Smolders M, Penninx B, Bensing J. The costs of guideline-concordant care and of care according to patients' needs in anxiety and depression. J Eval Clin Pract 2011; 17:537-46. [PMID: 20586845 DOI: 10.1111/j.1365-2753.2010.01490.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIM To describe the direct and indirect costs for people with anxiety and depressive disorders where guidelines are adhered to and patients' perceived needs are fully met. METHOD Data were derived from the Netherlands Study of Depression and Anxiety. At baseline, adult patients were interviewed and they completed questionnaires to measure DSM-IV diagnoses, socio-demographic characteristics and perceived need for care. Actual care data were also derived from electronic medical records. Criteria for guideline adherence were based on general practice guidelines, issued by the Dutch College of General Practitioners. Direct and indirect costs were inferred from the Perceived Need for Care Questionnaire administered at baseline, and the Trimbos and iMTA questionnaire on Costs associated with Psychiatric illness administered at 1-year follow-up. RESULTS For 568 patients with a current anxiety or depressive disorder a complete dataset on health care use and absenteeism was available. Guideline adherence was significantly associated with increased care use and corresponding costs, while fully met perceived need was unrelated to costs. Socio-demographic characteristics, severity of symptoms and guideline adherence all affected the societal costs of patients with fully met perceived needs compared with patients with perceived unmet needs. CONCLUSION It appears that guideline-concordant care for anxiety and depression costs more than non-concordant care, while care that has fulfilled all of a patient's needs seems not to be more expensive than care that has not met all perceived needs. However, randomized controlled trials should first confirm this conclusion.
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Affiliation(s)
- Marijn Prins
- NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
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Seekles W, van Straten A, Beekman A, van Marwijk H, Cuijpers P. Stepped care treatment for depression and anxiety in primary care. a randomized controlled trial. Trials 2011; 12:171. [PMID: 21736720 PMCID: PMC3152524 DOI: 10.1186/1745-6215-12-171] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2011] [Accepted: 07/07/2011] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Depressive and anxiety disorders are common in general practice but not always treated adequately. Introducing stepped care might improve this. In this randomized trial we examined the effectiveness of such a stepped care model. METHODS The study population consisted of primary care attendees aged 18-65 years with minor or major DSM-IV depressive and/or anxiety disorders, recruited through screening. We randomized 120 patients to either stepped care or care as usual. The stepped care program consisted of (1) watchful waiting, (2) guided self-help, (3) short face-to-face problem solving treatment and (4) pharmacotherapy and/or specialized mental health care. Patients were assessed at baseline and after 8, 16 and 24 weeks. RESULTS Symptoms of depression and anxiety decreased significantly over time for both groups. However, there was no statistically significant difference between the two groups (IDS: P = 0.35 and HADS: P = 0.64). The largest, but not significant, effect (d = -0.21) was found for anxiety on T3. In both groups approximately 48% of the patients were recovered from their DSM-IV diagnosis at the final 6 months assessment. CONCLUSIONS In summary we could not demonstrate that stepped care for depression and anxiety in general practice was more effective than care as usual. Possible reasons are discussed. TRIAL REGISTRATION Current Controlled Trails: ISRCTN17831610.
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Affiliation(s)
- Wike Seekles
- Department of Clinical Psychology, VU University, Amsterdam, The Netherlands.
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Seekles W, van Straten A, Beekman A, van Marwijk H, Cuijpers P. Effectiveness of guided self-help for depression and anxiety disorders in primary care: a pragmatic randomized controlled trial. Psychiatry Res 2011; 187:113-20. [PMID: 21145112 DOI: 10.1016/j.psychres.2010.11.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2010] [Revised: 11/02/2010] [Accepted: 11/11/2010] [Indexed: 11/16/2022]
Abstract
The objective of this study is to evaluate the effectiveness of (guided) self-help in primary care for patients diagnosed with a minor or major mood and/or anxiety disorder. The study population consists of 120 (screened) primary care patients aged 18-65 years with at least one mood and/or anxiety disorder. The primary focus is the reduction of depressive and anxiety symptoms. The self-help courses (Problem Solving Treatment and exposure) took 6 weeks to complete. The self-help group reported slightly better outcomes than the care-as-usual group but these results were not significant: d=-0.18 (95% CI=-2.29 to 7.31) for symptoms of depression and d=-0.20 (95% CI=-0.74 to 2.29) for symptoms of anxiety. For patients with an anxiety disorder only, the anxiety symptoms decreased significantly compared to the care-as-usual group (d=-0.68; 95% CI=0.25 to 4.77). Self-help seems only slightly superior to care-as-usual and therefore might not be an effective tool in general practice. But the lack of results could also be due to our selection of patients or to our selection of GPs (with interest in psychiatric disorders). Nonetheless the promising signals with respect to anxiety disorders warrant further research.
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Affiliation(s)
- Wike Seekles
- Department of Clinical Psychology, VU University, Amsterdam, The Netherlands.
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Bockting CLH, Kok GD, Kamp LVD, Smit F, van Valen E, Schoevers R, van Marwijk H, Cuijpers P, Riper H, Dekker J, Beck AT. Disrupting the rhythm of depression using Mobile Cognitive Therapy for recurrent depression: randomized controlled trial design and protocol. BMC Psychiatry 2011; 11:12. [PMID: 21235774 PMCID: PMC3036590 DOI: 10.1186/1471-244x-11-12] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2010] [Accepted: 01/14/2011] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is projected to rank second on a list of 15 major diseases in terms of burden in 2030. The major contribution of MDD to disability and health care costs is largely due to its highly recurrent nature. Accordingly, efforts to reduce the disabling effects of this chronic condition should shift to preventing recurrence, especially in patients at high risk of recurrence. Given its high prevalence and the fact that interventions are necessary during the remitted phase, new approaches are needed to prevent relapse in depression. METHODS/DESIGN The best established effective and available psychological intervention is cognitive therapy. However, it is costly and not available for most patients. Therefore, we will compare the effectiveness and cost-effectiveness of self-management supported by online CT accompanied by SMS based tele-monitoring of depressive symptomatology, i.e. Mobile Cognitive Therapy (M-CT) versus treatment as us usual (TAU). Remitted patients (n = 268) with at least two previous depressive episodes will be recruited and randomized over (1) M-CT in addition to TAU versus (2) TAU alone, with follow-ups at 3, 12, and 24 months. Randomization will be stratified for number of previous episodes and type of treatment as usual. Primary outcome is time until relapse/recurrence over 24 months using DSM-IV-TR criteria as assessed by the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID). For the economic evaluation the balance between costs and health outcomes will be compared across strategies using a societal perspective. DISCUSSION Internet-based interventions might be helpful in empowering patients to become their own disease managers in this lifelong recurrent disorder. This is, as far as we are aware of, the first study that examines the (cost) effectiveness of an E-mental health program using SMS monitoring of symptoms with therapist support to prevent relapse in remitted recurrently depressed patients. TRIAL REGISTRATION Netherlands Trial Register (NTR): NTR2503.
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Affiliation(s)
- Claudi LH Bockting
- Department of Clinical and Experimental Psychology, Groningen University, Groningen, The Netherlands
| | - Gemma D Kok
- Department of Clinical and Experimental Psychology, Groningen University, Groningen, The Netherlands
| | - Lillian van der Kamp
- Centre of Prevention and Early Intervention, Trimbos Institute (Netherlands Institute of Mental health and Addiction), Utrecht, The Netherlands
| | - Filip Smit
- Centre of Prevention and Early Intervention, Trimbos Institute (Netherlands Institute of Mental health and Addiction), Utrecht, The Netherlands,Department of Epidemiology and Biostatistics, VU University medical centre, Amsterdam, The Netherlands
| | - Evelien van Valen
- Netherlands Center for Occupational Diseases, Coronel Institute of Occupational Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Robert Schoevers
- Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Harm van Marwijk
- Department of General Practice and the EMGO Institute for Health and Care Research (EMGO+), VU University medical centre, Amsterdam, The Netherlands
| | - Pim Cuijpers
- Department of Clinical Psychology of the Vrije Universiteit, Amsterdam, The Netherlands
| | - Heleen Riper
- Department of Epidemiology and Biostatistics, VU University medical centre, Amsterdam, The Netherlands
| | - Jack Dekker
- Department of Clinical Psychology of the Vrije Universiteit, Amsterdam, The Netherlands,Mental Health Care Center Arkin/PuntP, Amsterdam, The Netherlands
| | - Aaron T Beck
- Department of Psychiatry, University of Pennsylvania, Philadelphia, USA
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