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Skivington K, Matthews L, Simpson SA, Craig P, Baird J, Blazeby JM, Boyd KA, Craig N, French DP, McIntosh E, Petticrew M, Rycroft-Malone J, White M, Moore L. A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance. Int J Nurs Stud 2024; 154:104705. [PMID: 38564982 DOI: 10.1016/j.ijnurstu.2024.104705] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The UK Medical Research Council's widely used guidance for developing and evaluating complex interventions has been replaced by a new framework, commissioned jointly by the Medical Research Council and the National Institute for Health Research, which takes account of recent developments in theory and methods and the need to maximise the efficiency, use, and impact of research.
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Affiliation(s)
- Kathryn Skivington
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Lynsay Matthews
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Sharon Anne Simpson
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Peter Craig
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Janis Baird
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Jane M Blazeby
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research and Bristol Biomedical Research Centre, Bristol, UK
| | - Kathleen Anne Boyd
- Health Economics and Health Technology Assessment Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - David P French
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Emma McIntosh
- Health Economics and Health Technology Assessment Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Mark Petticrew
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Martin White
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Laurence Moore
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Price O, Papastavrou Brooks C, Johnston I, McPherson P, Goodman H, Grundy A, Cree L, Motala Z, Robinson J, Doyle M, Stokes N, Armitage CJ, Barley E, Brooks H, Callaghan P, Carter LA, Davies LM, Drake RJ, Lovell K, Bee P. Development and evaluation of a de-escalation training intervention in adult acute and forensic units: the EDITION systematic review and feasibility trial. Health Technol Assess 2024; 28:1-120. [PMID: 38343036 PMCID: PMC11017147 DOI: 10.3310/fggw6874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024] Open
Abstract
Background Containment (e.g. physical restraint and seclusion) is used frequently in mental health inpatient settings. Containment is associated with serious psychological and physical harms. De-escalation (psychosocial techniques to manage distress without containment) is recommended to manage aggression and other unsafe behaviours, for example self-harm. All National Health Service staff are trained in de-escalation but there is little to no evidence supporting training's effectiveness. Objectives Objectives were to: (1) qualitatively investigate de-escalation and identify barriers and facilitators to use across the range of adult acute and forensic mental health inpatient settings; (2) co-produce with relevant stakeholders an intervention to enhance de-escalation across these settings; (3) evaluate the intervention's preliminary effect on rates of conflict (e.g. violence, self-harm) and containment (e.g. seclusion and physical restraint) and understand barriers and facilitators to intervention effects. Design Intervention development informed by Experience-based Co-design and uncontrolled pre and post feasibility evaluation. Systematic reviews and qualitative interviews investigated contextual variation in use and effects of de-escalation. Synthesis of this evidence informed co-design of an intervention to enhance de-escalation. An uncontrolled feasibility trial of the intervention followed. Clinical outcome data were collected over 24 weeks including an 8-week pre-intervention phase, an 8-week embedding and an 8-week post-intervention phase. Setting Ten inpatient wards (including acute, psychiatric intensive care, low, medium and high secure forensic) in two United Kingdom mental health trusts. Participants In-patients, clinical staff, managers, carers/relatives and training staff in the target settings. Interventions Enhancing de-escalation techniques in adult acute and forensic units: Development and evaluation of an evidence-based training intervention (EDITION) interventions included de-escalation training, two novel models of reflective practice, post-incident debriefing and feedback on clinical practice, collaborative prescribing and ward rounds, practice changes around admission, shift handovers and the social and physical environment, and sensory modulation and support planning to reduce patient distress. Main outcome measures Outcomes measured related to feasibility (recruitment and retention, completion of outcome measures), training outcomes and clinical and safety outcomes. Conflict and containment rates were measured via the Patient-Staff Conflict Checklist. Clinical outcomes were measured using the Attitudes to Containment Measures Questionnaire, Attitudes to Personality Disorder Questionnaire, Violence Prevention Climate Scale, Capabilities, Opportunities, and Motivation Scale, Coercion Experience Scale and Perceived Expressed Emotion in Staff Scale. Results Completion rates of the proposed primary outcome were very good at 68% overall (excluding remote data collection), which increased to 76% (excluding remote data collection) in the post-intervention period. Secondary outcomes had high completion rates for both staff and patient respondents. Regression analyses indicated that reductions in conflict and containment were both predicted by study phase (pre, embedding, post intervention). There were no adverse events or serious adverse events related to the intervention. Conclusions Intervention and data-collection procedures were feasible, and there was a signal of an effect on the proposed primary outcome. Limitations Uncontrolled design and self-selecting sample. Future work Definitive trial determining intervention effects. Trial registration This trial is registered as ISRCTN12826685 (closed to recruitment). Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 16/101/02) and is published in full in Health Technology Assessment; Vol. 28, No. 3. See the NIHR Funding and Awards website for further award information. Context Conflict (a term used to describe a range of potentially unsafe events including violence, self-harm, rule-breaking, medication refusal, illicit drug and alcohol use and absconding) in mental health settings causes serious physical and psychological harm. Containment interventions which are intended to minimise harm from violence (and other conflict behaviours) such as restraint, seclusion and rapid tranquilisation can result in serious injuries to patients and, occasionally, death. Involvement in physical restraint is the most common cause of serious physical injury to National Health Service mental health staff in the United Kingdom. Violence to staff results in substantial costs to the health service in sickness and litigation payments. Containment interventions are also expensive (e.g. physical restraint costs mental health services £6.1 million and enhanced observations £88 million per annum). Despite these harms, recent findings indicate containment interventions such as seclusion and physical restraint continue to be used frequently in mental health settings. Clinical trials have demonstrated that interventions can reduce containment without increasing violence and other conflict behaviours (e.g. verbal aggression, self-harm). Substantial cost-savings result from reducing containment use. De-escalation, as an intervention to manage aggression and potential violence without restrictive practices, is a core intervention. 'De-escalation' is a collective term for a range of psychosocial techniques designed to reduce distress and anger without the need to use 'containment' interventions (measures to prevent harm through restricting a person's ability to act independently, such as physical restraint and seclusion). Evidence indicates that de-escalation involves ensuring conditions for safe intervention and effective communication are established, clarifying and attempting to resolve the patient's concern, conveyance of respect and empathy and regulating unhelpful emotions such as anxiety and anger. Despite featuring prominently in clinical guidelines and training policy domestically and internationally and being a component of mandatory National Health Service training, there is no evidence-based model on which to base training. A systematic review of de-escalation training effectiveness and acceptability conducted in 2015 concluded: (1) no model of training has demonstrated effectiveness in a sufficiently rigorous evaluation, (2) the theoretical underpinning of evaluated models was often unclear and (3) there has been inadequate investigation of the characteristics of training likely to enhance acceptability and uptake. Despite all National Health Service staff being trained in de-escalation there have been no high-quality trials evaluating the effectiveness and cost-effectiveness of training. Feasibility studies are needed to establish whether it is possible to conduct a definitive trial that can determine the clinical, safety and cost-effectiveness of this intervention.
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Affiliation(s)
- Owen Price
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | | | - Isobel Johnston
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Peter McPherson
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK
| | - Helena Goodman
- School of Health Sciences, University of Surrey, Guildford, UK
| | - Andrew Grundy
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Lindsey Cree
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Zahra Motala
- Atherleigh Park Hospital, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Jade Robinson
- School of Health Sciences, University of Surrey, Guildford, UK
| | - Michael Doyle
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
| | - Nicholas Stokes
- West London Forensic Service, St Bernard's Hospital, West London Mental Health NHS Trust, Southall, UK
| | - Christopher J Armitage
- Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK
| | | | - Helen Brooks
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Patrick Callaghan
- School of Applied Sciences, London South Bank University, London, UK
| | | | - Linda M Davies
- Division of Population Health, Health Services Research and Primary Care, Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Richard J Drake
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Penny Bee
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
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Price A, de Bell S, Shaw N, Bethel A, Anderson R, Coon JT. What is the volume, diversity and nature of recent, robust evidence for the use of peer support in health and social care? An evidence and gap map. CAMPBELL SYSTEMATIC REVIEWS 2022; 18:e1264. [PMID: 36909883 PMCID: PMC9316011 DOI: 10.1002/cl2.1264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Background Peer support interventions involve people drawing on shared personal experience to help one another improve their physical or mental health, or reduce social isolation. If effective, they may also lessen the demand on health and social care services, reducing costs. However, the design and delivery of peer support varies greatly, from the targeted problem or need, the setting and mode of delivery, to the number and content of sessions. Robust evidence is essential for policymakers commissioning peer support and practitioners delivering services in health care and community settings. This map draws together evidence on different types of peer support to support the design and delivery of interventions. Objectives The aim of this map was to provide an overview of the volume, diversity and nature of recent, high quality evidence on the effectiveness and cost-effectiveness of the use of peer support in health and social care. Search Methods We searched MEDLINE, seven further bibliographic databases, and Epistemonikos for systematic reviews (in October 2020), randomised controlled trials (in March 2021) and economic evaluations (in May 2021) on the effectiveness of peer support interventions in health and social care. We also conducted searches of Google Scholar, two trial registers, PROSPERO, and completed citation chasing on included studies. Selection Criteria Systematic reviews, randomised controlled trials and economic evaluations were included in the map. Included studies focused on adult populations with a defined health or social care need, were conducted in high-income countries, and published since 2015. Any measure of effectiveness was included, as was any form of peer support providing the peer had shared experience with the participant and a formalised role. Data Collection and Analysis Data were extracted on the type of peer support intervention and outcomes assessed in included studies. Standardised tools were used to assess study quality for all studies: assessing the methodological quality of systematic reviews 2 for systematic reviews; Cochrane risk of bias tool for randomised controlled trials; and consensus health economic criteria list for economic evaluations. Main Results We included 91 studies: 32 systematic reviews; 52 randomised controlled trials; and 7 economic evaluations. Whilst most included systematic reviews and economic evaluations were assessed to be of low or medium quality, the majority of randomised controlled trials were of higher quality. There were concentrations of evidence relating to different types of peer support, including education, psychological support, self-care/self-management and social support. Populations with long-term health conditions were most commonly studied. The majority of studies measured health-related indicators as outcomes; few studies assessed cost-effectiveness. Studies were unevenly distributed geographically, with most being conducted in the USA. Several gaps were evident regarding the delivery of peer support, particularly the integration of peers and professionals in delivering support and interventions of longer duration. Authors' Conclusions Although there is evidence available to inform the commissioning and delivery of peer support in health and social care, there are also clear gaps that need to be addressed to further support provision, particularly regarding cost-effectiveness. The effectiveness of peer support in different countries, with varying health and social care systems, is a priority for future research, as is the integration of peers with professionals in delivering peer support.
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Affiliation(s)
- Anna Price
- Exeter HS&DR Evidence Synthesis CentreUniversity of Exeter Medical School, University of ExeterExeterUK
| | - Siân de Bell
- Exeter HS&DR Evidence Synthesis CentreUniversity of Exeter Medical School, University of ExeterExeterUK
| | - Naomi Shaw
- Exeter HS&DR Evidence Synthesis CentreUniversity of Exeter Medical School, University of ExeterExeterUK
| | - Alison Bethel
- Exeter HS&DR Evidence Synthesis CentreUniversity of Exeter Medical School, University of ExeterExeterUK
| | - Rob Anderson
- Exeter HS&DR Evidence Synthesis CentreUniversity of Exeter Medical School, University of ExeterExeterUK
| | - Jo Thompson Coon
- Exeter HS&DR Evidence Synthesis CentreUniversity of Exeter Medical School, University of ExeterExeterUK
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Skivington K, Matthews L, Simpson SA, Craig P, Baird J, Blazeby JM, Boyd KA, Craig N, French DP, McIntosh E, Petticrew M, Rycroft-Malone J, White M, Moore L. A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance. BMJ 2021; 374:n2061. [PMID: 34593508 PMCID: PMC8482308 DOI: 10.1136/bmj.n2061] [Citation(s) in RCA: 1567] [Impact Index Per Article: 522.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/09/2021] [Indexed: 11/25/2022]
Affiliation(s)
- Kathryn Skivington
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Lynsay Matthews
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Sharon Anne Simpson
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Peter Craig
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Janis Baird
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Jane M Blazeby
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research and Bristol Biomedical Research Centre, Bristol, UK
| | - Kathleen Anne Boyd
- Health Economics and Health Technology Assessment Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - David P French
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Emma McIntosh
- Health Economics and Health Technology Assessment Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Mark Petticrew
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Martin White
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Laurence Moore
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Skivington K, Matthews L, Simpson SA, Craig P, Baird J, Blazeby JM, Boyd KA, Craig N, French DP, McIntosh E, Petticrew M, Rycroft-Malone J, White M, Moore L. Framework for the development and evaluation of complex interventions: gap analysis, workshop and consultation-informed update. Health Technol Assess 2021; 25:1-132. [PMID: 34590577 PMCID: PMC7614019 DOI: 10.3310/hta25570] [Citation(s) in RCA: 163] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The Medical Research Council published the second edition of its framework in 2006 on developing and evaluating complex interventions. Since then, there have been considerable developments in the field of complex intervention research. The objective of this project was to update the framework in the light of these developments. The framework aims to help research teams prioritise research questions and design, and conduct research with an appropriate choice of methods, rather than to provide detailed guidance on the use of specific methods. METHODS There were four stages to the update: (1) gap analysis to identify developments in the methods and practice since the previous framework was published; (2) an expert workshop of 36 participants to discuss the topics identified in the gap analysis; (3) an open consultation process to seek comments on a first draft of the new framework; and (4) findings from the previous stages were used to redraft the framework, and final expert review was obtained. The process was overseen by a Scientific Advisory Group representing the range of relevant National Institute for Health Research and Medical Research Council research investments. RESULTS Key changes to the previous framework include (1) an updated definition of complex interventions, highlighting the dynamic relationship between the intervention and its context; (2) an emphasis on the use of diverse research perspectives: efficacy, effectiveness, theory-based and systems perspectives; (3) a focus on the usefulness of evidence as the basis for determining research perspective and questions; (4) an increased focus on interventions developed outside research teams, for example changes in policy or health services delivery; and (5) the identification of six 'core elements' that should guide all phases of complex intervention research: consider context; develop, refine and test programme theory; engage stakeholders; identify key uncertainties; refine the intervention; and economic considerations. We divide the research process into four phases: development, feasibility, evaluation and implementation. For each phase we provide a concise summary of recent developments, key points to address and signposts to further reading. We also present case studies to illustrate the points being made throughout. LIMITATIONS The framework aims to help research teams prioritise research questions and design and conduct research with an appropriate choice of methods, rather than to provide detailed guidance on the use of specific methods. In many of the areas of innovation that we highlight, such as the use of systems approaches, there are still only a few practical examples. We refer to more specific and detailed guidance where available and note where promising approaches require further development. CONCLUSIONS This new framework incorporates developments in complex intervention research published since the previous edition was written in 2006. As well as taking account of established practice and recent refinements, we draw attention to new approaches and place greater emphasis on economic considerations in complex intervention research. We have introduced a new emphasis on the importance of context and the value of understanding interventions as 'events in systems' that produce effects through interactions with features of the contexts in which they are implemented. The framework adopts a pluralist approach, encouraging researchers and research funders to adopt diverse research perspectives and to select research questions and methods pragmatically, with the aim of providing evidence that is useful to decision-makers. FUTURE WORK We call for further work to develop relevant methods and provide examples in practice. The use of this framework should be monitored and the move should be made to a more fluid resource in the future, for example a web-based format that can be frequently updated to incorporate new material and links to emerging resources. FUNDING This project was jointly funded by the Medical Research Council (MRC) and the National Institute for Health Research (Department of Health and Social Care 73514).
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Affiliation(s)
- Kathryn Skivington
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Lynsay Matthews
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Sharon Anne Simpson
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Peter Craig
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Janis Baird
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Jane M Blazeby
- Medical Research Council ConDuCT-II Hub for Trials Methodology Research and Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
| | - Kathleen Anne Boyd
- Health Economics and Health Technology Assessment Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - David P French
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Emma McIntosh
- Health Economics and Health Technology Assessment Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Mark Petticrew
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Martin White
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Laurence Moore
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Ropaj E, Jones A, Dickson JM, Gill Z, Taylor PJ. Are negative beliefs about psychosis associated with emotional distress in adults and young people with such experiences? A meta-analysis. Psychol Psychother 2021; 94 Suppl 2:242-267. [PMID: 32271989 PMCID: PMC8246979 DOI: 10.1111/papt.12271] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 02/06/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Emotional distress, including depression and anxiety, is commonly reported amongst individuals experiencing psychosis. The beliefs individuals hold about the meaning of their psychosis may explain the distress they experience. The current meta-analysis aimed to review the association between beliefs about psychosis experiences and emotional distress. METHOD Three electronic databases (PsycINFO, MEDLINE, and CINAHL) were searched using keywords and controlled vocabulary (e.g., Medical Subject Headings) from date of inception to August 2019. A total of 19 eligible papers were identified. RESULTS Our random-effects meta-analysis revealed that depression and anxiety held moderate association with psychosis beliefs, with perceptions concerning a lack of control over experiences having the strongest association with distress. Longitudinal studies suggest that negative beliefs at baseline are associated with depressive symptoms at follow-up. CONCLUSIONS The results suggest that the endorsement of negative beliefs about psychosis is associated with current level of depression and anxiety. The results are consistent with theories of emotional distress in psychosis. However, the small number of longitudinal papers limits what can be concluded about the direction or other temporal characteristics of these relationships. Therapies that target unhelpful beliefs about psychosis may beneficial. PRACTITIONER POINTS Negative beliefs about experiences of psychosis are associated with greater emotional distress such as depression and anxiety. Beliefs about a lack of control over experiences had the strongest association with distress. Interventions that aim to modify or prevent the formation of unhelpful beliefs about psychosis may be beneficial for this population.
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Affiliation(s)
- Esmira Ropaj
- Department of Psychological SciencesUniversity of LiverpoolUK,Division of Psychology & Mental HealthSchool of Health SciencesManchester Academic Health Sciences CentreUniversity of ManchesterUK
| | - Andrew Jones
- Department of Psychological SciencesUniversity of LiverpoolUK
| | - Joanne M. Dickson
- Department of Psychological SciencesUniversity of LiverpoolUK,School of Arts and HumanitiesPsychology DisciplineEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Zabina Gill
- Pennine Care NHS Foundation TrustGreater ManchesterUK
| | - Peter J. Taylor
- Division of Psychology & Mental HealthSchool of Health SciencesManchester Academic Health Sciences CentreUniversity of ManchesterUK
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Shields GE, Wells A, Doherty P, Reeves D, Capobianco L, Heagerty A, Buck D, Davies LM. Protocol for the economic evaluation of metacognitive therapy for cardiac rehabilitation participants with symptoms of anxiety and/or depression. BMJ Open 2020; 10:e035552. [PMID: 32912974 PMCID: PMC7485258 DOI: 10.1136/bmjopen-2019-035552] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 04/29/2020] [Accepted: 07/21/2020] [Indexed: 11/09/2022] Open
Abstract
INTRODUCTION Cardiac rehabilitation (CR) is offered to reduce the risk of further cardiac events and to improve patients' health and quality of life following a cardiac event. Psychological care is a common component of CR as symptoms of depression and/or anxiety are more prevalent in this population, however evidence for the cost-effectiveness of current interventions is limited. Metacognitive therapy (MCT), is a recent treatment development that is effective in treating anxiety and depression in mental health settings and is being evaluated in CR patients. This protocol describes the planned approach to the economic evaluation of MCT for CR patients. METHODS AND ANALYSIS The economic evaluation work will consist of a within-trial analysis and an economic model. The PATHWAY Group MCT study has been prospectively designed to collect comprehensive self-reported resource use and health outcome data, including the EQ-5D, within a randomised controlled trial study design (UK Clinical Trials Gateway). A within-trial economic evaluation and economic model will compare the cost-effectiveness of MCT plus usual care (UC) to UC, from a health and social care perspective in the UK. The within-trial analysis will use intention-to-treat and estimate total costs and quality-adjusted life-years (QALYs) for the trial follow-up. Single imputation will be used to impute missing baseline variables. Multiple imputation will be used to impute values missing at follow-up. Items of resource use will be multiplied by published national healthcare costs. Regression analysis will be used to estimate net costs and net QALYs and these estimates will be bootstrapped to generate 10 000 net pairs of costs and QALYs to inform the probability of cost-effectiveness. A decision analytical economic model will be developed to synthesise trial data with the published literature over a longer time frame. Sensitivity analysis will explore uncertainty. Guidance of the methods for economic models will be followed and dissemination will adhere to reporting guidelines. ETHICS AND DISSEMINATION The economic evaluation includes a within-trial analysis. The trial which included the collection of this data was reviewed and approved by Ethics. Ethics approval was obtained by the Preston Research Ethics Committee (project ID 156862). The modelling analysis is not applicable for Ethics as it will use data from the trial (secondary analysis) and the published literature. Results of the main trial and economic evaluation will be published in the peer-reviewed National Institute for Health Research (NIHR) journals library (Programme Grants for Applied Research), submitted to a peer-reviewed journal and presented at appropriate conferences. TRIAL REGISTRATION NUMBER ISRCTN74643496; Pre-results.
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Affiliation(s)
- Gemma E Shields
- Manchester Centre for Health Economics, The University of Manchester, Manchester, UK
| | - Adrian Wells
- Faculty of Biology, Medicine and Health, School of Psychological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, Manchester, UK
- Research & Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, Manchester, UK
| | - Patrick Doherty
- Department of Health Sciences, University of York, York, North Yorkshire, UK
| | - David Reeves
- Centre for Primary Care, The University of Manchester, Manchester, Manchester, UK
| | - Lora Capobianco
- Research & Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, Manchester, UK
| | - Anthony Heagerty
- Institute of Cardiovascular Sciences, The University of Manchester, Manchester, Manchester, UK
| | - Deborah Buck
- Manchester Centre for Health Economics, The University of Manchester, Manchester, UK
| | - Linda M Davies
- Manchester Centre for Health Economics, The University of Manchester, Manchester, UK
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