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Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments

INTRODUCTION: Value-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models t...

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Autores principales: Sarkies, Mitchell N, Francis-Auton, Emilie, Long, Janet C, Partington, Andrew, Pomare, Chiara, Nguyen, Hoa Mi, Wu, Wendy, Westbrook, Johanna, Day, Richard O, Levesque, Jean-Frederic, Mitchell, Rebecca, Rapport, Frances, Cutler, Henry, Tran, Yvonne, Clay-Williams, Robyn, Watson, Diane E, Arnolda, Gaston, Hibbert, Peter D, Lystad, Reidar, Mumford, Virginia, Leipnik, George, Sutherland, Kim, Hardwick, Rebecca, Braithwaite, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757496/
https://www.ncbi.nlm.nih.gov/pubmed/33371049
http://dx.doi.org/10.1136/bmjopen-2020-044049
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author Sarkies, Mitchell N
Francis-Auton, Emilie
Long, Janet C
Partington, Andrew
Pomare, Chiara
Nguyen, Hoa Mi
Wu, Wendy
Westbrook, Johanna
Day, Richard O
Levesque, Jean-Frederic
Mitchell, Rebecca
Rapport, Frances
Cutler, Henry
Tran, Yvonne
Clay-Williams, Robyn
Watson, Diane E
Arnolda, Gaston
Hibbert, Peter D
Lystad, Reidar
Mumford, Virginia
Leipnik, George
Sutherland, Kim
Hardwick, Rebecca
Braithwaite, Jeffrey
author_facet Sarkies, Mitchell N
Francis-Auton, Emilie
Long, Janet C
Partington, Andrew
Pomare, Chiara
Nguyen, Hoa Mi
Wu, Wendy
Westbrook, Johanna
Day, Richard O
Levesque, Jean-Frederic
Mitchell, Rebecca
Rapport, Frances
Cutler, Henry
Tran, Yvonne
Clay-Williams, Robyn
Watson, Diane E
Arnolda, Gaston
Hibbert, Peter D
Lystad, Reidar
Mumford, Virginia
Leipnik, George
Sutherland, Kim
Hardwick, Rebecca
Braithwaite, Jeffrey
author_sort Sarkies, Mitchell N
collection PubMed
description INTRODUCTION: Value-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models to achieve large-system transformation are challenging and require consideration of complexity and context. Realist studies enable researchers to explore factors beyond ‘what works’ towards more nuanced understanding of ‘what tends to work for whom under which circumstances’. This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts. METHODS AND ANALYSIS: This exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. Stage 1 will formulate initial programme theories from review of existing literature, analysis of programme documents and qualitative interviews with programme designers, implementation support staff and evaluators. Stage 2 envisages testing and refining these hypothesised programme theories through qualitative interviews with local hospital network staff running initiatives, and analyses of quantitative data from the programme evaluation, hospital administrative systems and an implementation outcome survey. Stage 3 proposes to produce generalisable middle-range theories by synthesising data from context–mechanism–outcome configurations across initiatives. Qualitative data will be analysed retroductively and quantitative data will be analysed to identify relationships between the implementation strategies and processes, and implementation and programme outcomes. Mixed methods triangulation will be performed. ETHICS AND DISSEMINATION: Ethical approval has been granted by Macquarie University (Project ID 23816) and Hunter New England (Project ID 2020/ETH02186) Human Research Ethics Committees. The findings will be published in peer-reviewed journals. Results will be fed back to partner organisations and roundtable discussions with other health jurisdictions will be held, to share learnings.
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spelling pubmed-77574962020-12-28 Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments Sarkies, Mitchell N Francis-Auton, Emilie Long, Janet C Partington, Andrew Pomare, Chiara Nguyen, Hoa Mi Wu, Wendy Westbrook, Johanna Day, Richard O Levesque, Jean-Frederic Mitchell, Rebecca Rapport, Frances Cutler, Henry Tran, Yvonne Clay-Williams, Robyn Watson, Diane E Arnolda, Gaston Hibbert, Peter D Lystad, Reidar Mumford, Virginia Leipnik, George Sutherland, Kim Hardwick, Rebecca Braithwaite, Jeffrey BMJ Open Health Services Research INTRODUCTION: Value-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models to achieve large-system transformation are challenging and require consideration of complexity and context. Realist studies enable researchers to explore factors beyond ‘what works’ towards more nuanced understanding of ‘what tends to work for whom under which circumstances’. This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts. METHODS AND ANALYSIS: This exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. Stage 1 will formulate initial programme theories from review of existing literature, analysis of programme documents and qualitative interviews with programme designers, implementation support staff and evaluators. Stage 2 envisages testing and refining these hypothesised programme theories through qualitative interviews with local hospital network staff running initiatives, and analyses of quantitative data from the programme evaluation, hospital administrative systems and an implementation outcome survey. Stage 3 proposes to produce generalisable middle-range theories by synthesising data from context–mechanism–outcome configurations across initiatives. Qualitative data will be analysed retroductively and quantitative data will be analysed to identify relationships between the implementation strategies and processes, and implementation and programme outcomes. Mixed methods triangulation will be performed. ETHICS AND DISSEMINATION: Ethical approval has been granted by Macquarie University (Project ID 23816) and Hunter New England (Project ID 2020/ETH02186) Human Research Ethics Committees. The findings will be published in peer-reviewed journals. Results will be fed back to partner organisations and roundtable discussions with other health jurisdictions will be held, to share learnings. BMJ Publishing Group 2020-12-22 /pmc/articles/PMC7757496/ /pubmed/33371049 http://dx.doi.org/10.1136/bmjopen-2020-044049 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Services Research
Sarkies, Mitchell N
Francis-Auton, Emilie
Long, Janet C
Partington, Andrew
Pomare, Chiara
Nguyen, Hoa Mi
Wu, Wendy
Westbrook, Johanna
Day, Richard O
Levesque, Jean-Frederic
Mitchell, Rebecca
Rapport, Frances
Cutler, Henry
Tran, Yvonne
Clay-Williams, Robyn
Watson, Diane E
Arnolda, Gaston
Hibbert, Peter D
Lystad, Reidar
Mumford, Virginia
Leipnik, George
Sutherland, Kim
Hardwick, Rebecca
Braithwaite, Jeffrey
Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
title Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
title_full Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
title_fullStr Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
title_full_unstemmed Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
title_short Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
title_sort implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757496/
https://www.ncbi.nlm.nih.gov/pubmed/33371049
http://dx.doi.org/10.1136/bmjopen-2020-044049
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