Evidence map›Paper›PMID 31782588›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2020

How is knowledge shared in Public involvement? A qualitative study of involvement in a health technology assessment.

Emma J Cockcroft, Nicky Britten, Linda Long, Kristin Liabo

Open access · goldAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2020. 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
5.8field-weighted citation impact, top 4% of its field
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, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Contributors are representative, as long as they agree: How confirmation logic overrides effort to achieve synthesis in applied health research.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  4. Article
  5. Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care?Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  6. Article
  7. How is knowledge shared in Public involvement? A qualitative study of involvement in a health technology assessment.Health expectations : an international journal of public participation in health care and health policy · 2020
    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 at 1 institution in 1 country.

Emma J CockcroftNIHR Applied Research Collaboration (ARC) South West Peninsula, University of Exeter Medical School, Exeter, UK.ORCID 0000-0003-3798-9492
Nicky BrittenNIHR Applied Research Collaboration (ARC) South West Peninsula, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-7533-414X
Linda LongPeninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK.ORCID 0000-0001-6889-1426
Kristin LiaboNIHR Applied Research Collaboration (ARC) South West Peninsula, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-7052-1261
University of Exeter · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundPublic involvement in research is seen as a quality marker by funders. To understand the process and impact of involvement, more in-depth studies are needed on how members of the public contribute in meetings with researchers.

objectivesThis study aimed to observe and reflect on what is said by public advisers in involvement. We wanted to understand (a) what knowledge and experience is shared during research meetings, and (b) how this knowledge is shared with researchers.

methodsData were collected in November 2016 as part of the public involvement in a health technology assessment of lung cancer screening using low-dose computed tomography. Three meetings were audio recorded and observed with the purpose of understanding how members of the public contributed during the meetings. Audio recordings were transcribed verbatim and data analysed using a thematic approach, with the coding framework developed inductively. We also included reflections from a community drop-in session.

resultsMembers of the public brought three different 'sources' of knowledge and experience to meetings with researchers: direct lived personal experience; learnt knowledge; and the experience and values of others. The data suggest that group settings allow for dynamic discussions and sharing of different types of knowledge.

conclusionGroup-based involvement meetings allow for the synergistic combination of individual knowledge and experience. This gives researchers a broader understanding of the topic, which can be the vehicle for patient impact on the research. A combination of group meeting and community drop-in can enable more varied input into research planning and conduct.

Indexed as

Lung NeoplasmsTechnology Assessment, BiomedicalEarly Detection of CancerHumansQualitative ResearchResearch Personnelexperiential knowledgehealth technology assessmenthybrid knowledgepublic and patient involvement

Identifiers

PMID31782588
PMCPMC7104644
OpenAlexW2990921666

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.