Evidence map›Paper›PMID 35589340›Full record

ArticleBMJ open2022

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

Janet C Long, Mitchell N Sarkies, Emilie Francis Auton, Hoa Mi Nguyen, Chiara Pomare, Rebecca Hardwick, Jeffrey Braithwaite

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Janet C LongAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia janet.long@mq.edu.au.ORCID 0000-0002-0553-682X
Mitchell N SarkiesAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0001-7318-3598
Emilie Francis AutonAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Hoa Mi NguyenAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-8431-9160
Chiara PomareAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-9118-7207
Rebecca HardwickMedical School, University of Exeter, Exeter, Devon, UK.ORCID 0000-0002-2488-829X
Jeffrey BraithwaiteAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0003-0296-4957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

designRealist synthesis. STUDY

backgroundLarge-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.

objectivesTo review implementation strategies used in large-scale hospital initiatives and hypothesise initial programme theories for how they worked across different contexts.

methodsAn 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.

resultsConcepts 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.

conclusionThis 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.

Indexed as

Delivery of Health CareOrganizationsHealth FacilitiesHospitalsHumanschange managementhealth policyquality in health care

Identifiers

PMID35589340
PMCPMC9126051

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.