Evidence map›Paper›PMID 38638421›Full record

ReviewPEC innovation2024

Public involvement and public engagement: An example of convergent evolution? Findings from a conceptual qualitative review of patient and public involvement, and public engagement, in health and scientific research.

Clare Wilkinson, Andy Gibson, Michele Biddle, Laura Hobbs

Abstract readReview
In one paragraph

Review in PEC innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
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  7. Article
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

4 authors.

Clare WilkinsonScience Communication Unit, University of the West of England, Bristol BS16 1QY, UK.
Andy GibsonCentre for Public Health and Wellbeing, University of the West of England, Bristol BS16 1QY, UK.
Michele BiddleCentre for Public Health and Wellbeing, University of the West of England, Bristol BS16 1QY, UK.
Laura HobbsScience Communication Unit, University of the West of England, Bristol BS16 1QY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patient and public involvement (PPI) in health research is now well-established, whilst science, technology, engineering and mathematics (STEM) research has shifted from a focus on science communication alone to public engagement (PE) within its research processes. Despite frequently drawing on similar theoretical influences, and practical motivations, there is often a lack of dialogue between such settings meaning shared learning, practice and evidence from these two sectors are rarely pooled. Methods: In this article, we examine findings from a conceptual review of literature gathered between 1996 and 2019. Results: Analyzing 142 peer-reviewed articles, we ascertain shared definitions and concepts in patient and public involvement and public engagement, identifying key differences and similarities. Conclusion: The literature we review supports the notion that, in terms of origins, there are two distinct traditions, one based in science communication and one based in what we describe as public involvement in shared decision-making. Innovation: We find evidence that the two traditions are converging but our work also calls for the need for further conversations between these two settings, which are exploring intersecting issues but from parallel pathways.

Indexed as

Health researchPatient involvementPublic engagementPublic involvementScience communicationScientific research

Identifiers

PMID38638421
PMCPMC11024997

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.