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Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study
INTRODUCTION: As an increasing number of people are living with more than 1 long-term condition, identifying effective interventions for the management of multimorbidity in primary care has become a matter of urgency. Interventions are challenging to evaluate due to intervention complexity and the n...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861104/ https://www.ncbi.nlm.nih.gov/pubmed/27147391 http://dx.doi.org/10.1136/bmjopen-2016-011260 |
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author | Mann, Cindy Shaw, Alison Guthrie, Bruce Wye, Lesley Man, Mei-See Hollinghurst, Sandra Brookes, Sara Bower, Peter Mercer, Stewart Salisbury, Chris |
author_facet | Mann, Cindy Shaw, Alison Guthrie, Bruce Wye, Lesley Man, Mei-See Hollinghurst, Sandra Brookes, Sara Bower, Peter Mercer, Stewart Salisbury, Chris |
author_sort | Mann, Cindy |
collection | PubMed |
description | INTRODUCTION: As an increasing number of people are living with more than 1 long-term condition, identifying effective interventions for the management of multimorbidity in primary care has become a matter of urgency. Interventions are challenging to evaluate due to intervention complexity and the need for adaptability to different contexts. A process evaluation can provide extra information necessary for interpreting trial results and making decisions about whether the intervention is likely to be successful in a wider context. The 3D (dimensions of health, drugs and depression) study will recruit 32 UK general practices to a cluster randomised controlled trial to evaluate effectiveness of a patient-centred intervention. Practices will be randomised to intervention or usual care. METHODS AND ANALYSIS: The aim of the process evaluation is to understand how and why the intervention was effective or ineffective and the effect of context. As part of the intervention, quantitative data will be collected to provide implementation feedback to all intervention practices and will contribute to evaluation of implementation fidelity, alongside case study data. Data will be collected at the beginning and end of the trial to characterise each practice and how it provides care to patients with multimorbidity. Mixed methods will be used to collect qualitative data from 4 case study practices, purposively sampled from among intervention practices. Qualitative data will be analysed using techniques of constant comparison to develop codes integrated within a flexible framework of themes. Quantitative and qualitative data will be integrated to describe case study sites and develop possible explanations for implementation variation. Analysis will take place prior to knowing trial outcomes. ETHICS AND DISSEMINATION: Study approved by South West (Frenchay) National Health Service (NHS) Research Ethics Committee (14/SW/0011). Findings will be disseminated via a final report, peer-reviewed publications and practical guidance to healthcare professionals, commissioners and policymakers. TRIAL REGISTRATION NUMBER: ISRCTN06180958. |
format | Online Article Text |
id | pubmed-4861104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48611042016-05-27 Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study Mann, Cindy Shaw, Alison Guthrie, Bruce Wye, Lesley Man, Mei-See Hollinghurst, Sandra Brookes, Sara Bower, Peter Mercer, Stewart Salisbury, Chris BMJ Open General practice / Family practice INTRODUCTION: As an increasing number of people are living with more than 1 long-term condition, identifying effective interventions for the management of multimorbidity in primary care has become a matter of urgency. Interventions are challenging to evaluate due to intervention complexity and the need for adaptability to different contexts. A process evaluation can provide extra information necessary for interpreting trial results and making decisions about whether the intervention is likely to be successful in a wider context. The 3D (dimensions of health, drugs and depression) study will recruit 32 UK general practices to a cluster randomised controlled trial to evaluate effectiveness of a patient-centred intervention. Practices will be randomised to intervention or usual care. METHODS AND ANALYSIS: The aim of the process evaluation is to understand how and why the intervention was effective or ineffective and the effect of context. As part of the intervention, quantitative data will be collected to provide implementation feedback to all intervention practices and will contribute to evaluation of implementation fidelity, alongside case study data. Data will be collected at the beginning and end of the trial to characterise each practice and how it provides care to patients with multimorbidity. Mixed methods will be used to collect qualitative data from 4 case study practices, purposively sampled from among intervention practices. Qualitative data will be analysed using techniques of constant comparison to develop codes integrated within a flexible framework of themes. Quantitative and qualitative data will be integrated to describe case study sites and develop possible explanations for implementation variation. Analysis will take place prior to knowing trial outcomes. ETHICS AND DISSEMINATION: Study approved by South West (Frenchay) National Health Service (NHS) Research Ethics Committee (14/SW/0011). Findings will be disseminated via a final report, peer-reviewed publications and practical guidance to healthcare professionals, commissioners and policymakers. TRIAL REGISTRATION NUMBER: ISRCTN06180958. BMJ Publishing Group 2016-05-04 /pmc/articles/PMC4861104/ /pubmed/27147391 http://dx.doi.org/10.1136/bmjopen-2016-011260 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | General practice / Family practice Mann, Cindy Shaw, Alison Guthrie, Bruce Wye, Lesley Man, Mei-See Hollinghurst, Sandra Brookes, Sara Bower, Peter Mercer, Stewart Salisbury, Chris Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study |
title | Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study |
title_full | Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study |
title_fullStr | Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study |
title_full_unstemmed | Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study |
title_short | Protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3D study |
title_sort | protocol for a process evaluation of a cluster randomised controlled trial to improve management of multimorbidity in general practice: the 3d study |
topic | General practice / Family practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861104/ https://www.ncbi.nlm.nih.gov/pubmed/27147391 http://dx.doi.org/10.1136/bmjopen-2016-011260 |
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