Conceptualising contexts, mechanisms and outcomes for implementing large-scale, multisite hospital improvement initiatives: a realist synthesis.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
19 05 2022
Historique:
entrez: 19 5 2022
pubmed: 20 5 2022
medline: 24 5 2022
Statut: epublish

Résumé

Realist synthesis. Large-scale hospital improvement initiatives can standardise healthcare across multiple sites but results are contingent on the implementation strategies that complement them. The benefits of these implemented interventions are rarely able to be replicated in different contexts. Realist studies explore this phenomenon in depth by identifying underlying context-mechanism-outcome interactions. To review implementation strategies used in large-scale hospital initiatives and hypothesise initial programme theories for how they worked across different contexts. An iterative, four-step process was applied. Step 1 explored the concepts inherent in large-scale interventions using database searches and snowballing. Step 2 identified strategies used in their implementation. Step 3 identified potential initial programme theories that may explain strategies' mechanisms. Step 4 focused on one strategy-theory pairing to develop and test context-mechanism-outcome hypotheses. Data was drawn from searches (March-May 2020) of MEDLINE, Embase, PubMed and CINAHL, snowballed from key papers, implementation support websites and the expertise of the research team and experts. reported implementation of a large-scale, multisite hospital intervention. RAMESES reporting standards were followed. Concepts were identified from 51 of 381 articles. Large-scale hospital interventions were characterised by a top-down approach, external and internal support and use of evidence-based interventions. We found 302 reports of 28 different implementation strategies from 31 reviews (from a total of 585). Formal theories proposed for the implementation strategies included Diffusion of Innovation, and Organisational Readiness Theory. Twenty-three context-mechanism-outcome statements for implementation strategies associated with planning and assessment activities were proposed. Evidence from the published literature supported the hypothesised programme theories and were consistent with Organisational Readiness Theory's tenets. This paper adds to the literature exploring why large-scale hospital interventions are not always successfully implemented and suggests 24 causative mechanisms and contextual factors that may drive outcomes in the planning and assessment stage.

Sections du résumé

DESIGN
Realist synthesis.
STUDY BACKGROUND
Large-scale hospital improvement initiatives can standardise healthcare across multiple sites but results are contingent on the implementation strategies that complement them. The benefits of these implemented interventions are rarely able to be replicated in different contexts. Realist studies explore this phenomenon in depth by identifying underlying context-mechanism-outcome interactions.
OBJECTIVES
To review implementation strategies used in large-scale hospital initiatives and hypothesise initial programme theories for how they worked across different contexts.
METHODS
An iterative, four-step process was applied. Step 1 explored the concepts inherent in large-scale interventions using database searches and snowballing. Step 2 identified strategies used in their implementation. Step 3 identified potential initial programme theories that may explain strategies' mechanisms. Step 4 focused on one strategy-theory pairing to develop and test context-mechanism-outcome hypotheses. Data was drawn from searches (March-May 2020) of MEDLINE, Embase, PubMed and CINAHL, snowballed from key papers, implementation support websites and the expertise of the research team and experts.
INCLUSION CRITERIA
reported implementation of a large-scale, multisite hospital intervention. RAMESES reporting standards were followed.
RESULTS
Concepts were identified from 51 of 381 articles. Large-scale hospital interventions were characterised by a top-down approach, external and internal support and use of evidence-based interventions. We found 302 reports of 28 different implementation strategies from 31 reviews (from a total of 585). Formal theories proposed for the implementation strategies included Diffusion of Innovation, and Organisational Readiness Theory. Twenty-three context-mechanism-outcome statements for implementation strategies associated with planning and assessment activities were proposed. Evidence from the published literature supported the hypothesised programme theories and were consistent with Organisational Readiness Theory's tenets.
CONCLUSION
This paper adds to the literature exploring why large-scale hospital interventions are not always successfully implemented and suggests 24 causative mechanisms and contextual factors that may drive outcomes in the planning and assessment stage.

Identifiants

pubmed: 35589340
pii: bmjopen-2021-058158
doi: 10.1136/bmjopen-2021-058158
pmc: PMC9126051
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e058158

Informations de copyright

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Janet C Long (JC)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia janet.long@mq.edu.au.

Mitchell N Sarkies (MN)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Emilie Francis Auton (E)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Hoa Mi Nguyen (HM)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Chiara Pomare (C)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Rebecca Hardwick (R)

Medical School, University of Exeter, Exeter, Devon, UK.

Jeffrey Braithwaite (J)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

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Classifications MeSH