Evidence map›Paper›PMID 36335575›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2023

Public contributors' preferences for the organization of remote public involvement meetings in health and social care: A discrete choice experiment study.

Luis E Loria-Rebolledo, Verity Watson, Shaima Hassan, Mark Gabbay, Naheed Tahir, Muhammad Hossain, Mark Goodall, Lucy Frith

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Adapting Patient and Public Involvement processes in response to the Covid-19 pandemic.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  4. Public contributors' preferences for the organization of remote public involvement meetings in health and social care: A discrete choice experiment study.Health expectations : an international journal of public participation in health care and health policy · 2023
    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

8 authors.

Luis E Loria-RebolledoHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK.ORCID 0000-0002-1391-6478
Verity WatsonHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK.
Shaima HassanDepartment of Primary Care & Mental Health, University of Liverpool, Liverpool, UK.
Mark GabbayDepartment of Primary Care & Mental Health, University of Liverpool, Liverpool, UK.
Naheed TahirNational Institute for Health and Care Research ARC North West Coast, Liverpool, UK.
Muhammad HossainHealth and Social Care, University of Wales Trinity Saint David, Carmarthen, UK.
Mark GoodallDepartment of Primary Care & Mental Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4880-998X
Lucy FrithDepartment of Law, Centre for Social Ethics & Policy, University of Manchester, Manchester, UK.ORCID 0000-0002-8506-0699

Funding

Chief Scientist Office HERU1Department of Health
6 · The paper itself

Abstract

introductionCovid-19 expanded the use of remote working to engage with public contributors in health and social care research. These changes have the potential to limit the ability to participate in patient and public involvement and engagement (PPIE) for some public contributors. It is therefore important to understand public contributors' preferences, so that remote working can be organized in an optimal way to encourage rather than discourage participation.

methodsWe use an economic preference elicitation tool, a discrete choice experiment (DCE), via an online survey, to estimate public contributors' preferences for and trade-offs between different features of remote meetings. The features were informed by previous research to include aspects of remote meetings that were relevant to public contributors and amenable to change by PPIE organizers.

resultsWe found that public contributors are more likely to participate in a PPIE project involving remote meetings if they are given feedback about participation; allowed to switch their camera off during meetings and step away if/when needed; were under 2.5 h long; organized during working hours, and are chaired by a moderator who can ensure that everyone contributes. Different combinations of these features can cause estimated project participation to range from 23% to 94%. When planning PPIE and engaging public contributors, we suggest that resources are focused on training moderators and ensuring public contributors receive meeting feedback. DISCUSSION AND

conclusionProject resources should be allocated to maximize project participation. We provide recommendations for those who work in public involvement and organize meetings on how resources, such as time and financial support, should be allocated. These are based on the preferences of existing public contributors who have been involved in health and social care research. PATIENT OR PUBLIC CONTRIBUTION: We had a public contributor (Naheed Tahir) as a funded coapplicant on the UKRI ESRC application and involved members of the North West Coast Applied Research Collaboration (NWC ARC) Public Advisor Forum at every stage of the project. The survey design was informed from three focus groups held with NWC ARC public contributors. The survey was further edited and improved based on the results of six one-to-one meetings with public contributors.

Indexed as

COVID-19HumansPatient ParticipationSocial SupportSurveys and Questionnairescovid-19preferencepublic contributorspublic participationremote

Identifiers

PMID36335575
PMCPMC9854307

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.