Evidence map›Paper›PMID 28701409›Full record

SynthesisBMJ open2017

What outcomes are associated with developing and implementing co-produced interventions in acute healthcare settings? A rapid evidence synthesis.

David Clarke, Fiona Jones, Ruth Harris, Glenn Robert, Collaborative Rehabilitation Environments in Acute Stroke (CREATE) team

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 10 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

88 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  5. Service user involvement in mental health service commissioning, development and delivery: A systematic review of service level outcomes.Health expectations : an international journal of public participation in health care and health policy · 2023
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  7. Evaluating the role and effectiveness of co-produced community-based mental health interventions that aim to reduce suicide among adults: A systematic review.Health expectations : an international journal of public participation in health care and health policy · 2023
    Pooled it
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  11. Experience-based co-design-Adapting the method for a researcher-initiated study in a multi-site setting.Health expectations : an international journal of public participation in health care and health policy · 2020
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  18. Continuity Is Essential: The Experiences of Co-Design Participants During the Implementation of a New Health Service.Health expectations : an international journal of public participation in health care and health policy · 2025
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28 more citing papers are in PubMed but not listed here.

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

5 authors.

David ClarkeAcademic Unit of Elderly Care and Rehabilitation, Leeds Institute of Health Sciences, Bradford, UK.
Fiona JonesFaculty of Health Social Care and Education, St George's University of London, London, UK.
Ruth HarrisFlorence Nightingale Faculty of Nursing and Midwifery, King's College London, London, UK.
Glenn RobertFlorence Nightingale Faculty of Nursing and Midwifery, King's College London, London, UK.
Collaborative Rehabilitation Environments in Acute Stroke (CREATE) team

Funding

Department of Health HS&DR/13/114/95
6 · The paper itself

Abstract

backgroundCo-production is defined as the voluntary or involuntary involvement of users in the design, management, delivery and/or evaluation of services. Interest in co-production as an intervention for improving healthcare quality is increasing. In the acute healthcare context, co-production is promoted as harnessing the knowledge of patients, carers and staff to make changes about which they care most. However, little is known regarding the impact of co-production on patient, staff or organisational outcomes in these settings.

aimsTo identify and appraise reported outcomes of co-production as an intervention to improve quality of services in acute healthcare settings.

designRapid evidence synthesis. DATA SOURCES: Medline, Cinahl, Web of Science, Embase, HMIC, Cochrane Database of Systematic Reviews, SCIE, Proquest Dissertation and Theses, EThOS, OpenGrey; STUDY SELECTION: Studies reporting patient, staff or organisational outcomes associated with using co-production in an acute healthcare setting.

findings712 titles and abstracts were screened; 24 papers underwent full-text review, and 11 papers were included in the evidence synthesis. One study was a feasibility randomised controlled trial, three were process evaluations and seven used descriptive qualitative approaches. Reported outcomes related to (a) the value of patient and staff involvement in co-production processes; (b) the generation of ideas for changes to processes, practices and clinical environments; and (c) tangible service changes and impacts on patient experiences. Only one study included cost analysis; none reported an economic evaluation. No studies assessed the sustainability of any changes made.

conclusionsDespite increasing interest in and advocacy for co-production, there is a lack of rigorous evaluation in acute healthcare settings. Future studies should evaluate clinical and service outcomes as well as the cost-effectiveness of co-production relative to other forms of quality improvement. Potentially broader impacts on the values and behaviours of participants should also be considered.

Indexed as

Intersectoral CollaborationDelivery of Health CareEvaluation Studies as TopicHumansQuality ImprovementRandomized Controlled Trials as Topicacute healthcareco-productionrapid evidence synthesissystematic review

Identifiers

PMID28701409
PMCPMC5734495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.