Evidence map›Paper›PMID 30864216›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2019

Developing and applying a deductive coding framework to assess the goals of Citizen/Community Jury deliberations.

Anna Mae Scott, Rebecca Sims, Chris Degeling, Stacy Carter, Rae Thomas

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Towards Evidence of Rigour in Empirical Deliberative Democratic Methods: Development and Piloting of the C-JuRI Framework.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  2. Assessing the Quality of Community Jury Deliberations in Online and In-Person Community Juries Using a Deductive Coding Framework.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  3. Methods for Involving People With Dementia in Health Policy and Guideline Development: A Scoping Review.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
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  8. Public perspectives on acquired brain injury rehabilitation and components of care: A Citizens' Jury.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  9. Developing and applying a deductive coding framework to assess the goals of Citizen/Community Jury deliberations.Health expectations : an international journal of public participation in health care and health policy · 2019
    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

5 authors.

Anna Mae ScottFaculty of Health Sciences and Medicine, Centre for research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia.ORCID 0000-0002-0109-9001
Rebecca SimsFaculty of Health Sciences and Medicine, Centre for research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia.
Chris DegelingResearch for Social Change, University of Wollongong, Wollongong, New South Wales, Australia.
Stacy CarterResearch for Social Change, University of Wollongong, Wollongong, New South Wales, Australia.
Rae ThomasFaculty of Health Sciences and Medicine, Centre for research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia.ORCID 0000-0002-2165-5917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic participation in health policy decision making is thought to improve the quality of the decisions and enhance their legitimacy. Citizen/Community Juries (CJs) are a form of public participation that aims to elicit an informed community perspective on controversial topics. Reporting standards for CJ processes have already been proposed. However, less clarity exists about the standards for what constitutes a good quality CJ deliberation-we aim to begin to address this gap here.

methodsWe identified the goals that underlie CJs and searched the literature to identify existing frameworks assessing the quality of CJ deliberations. We then mapped the items constituting these frameworks onto the CJ goals; where none of the frameworks addressed one of the CJ goals, we generated additional items that did map onto the goal.

resultsThis yielded a single operationalized deductive coding framework, consisting of four deliberation elements and four recommendation elements. The deliberation elements focus on the following: jurors' preferences and values, engagement with each other, referencing expert information and enrichment of the deliberation. The recommendation elements focus on the following: reaching a clear and identifiable recommendation, whether the recommendation directly addresses the CJ question, justification for the recommendation and adoption of societal (rather than individual) perspective. To explore the alignment between this framework and the goals underlying CJs, we mapped the operationalized framework onto the transcripts of a CJ.

conclusionResults suggest that framework items map well onto what transpires in an actual CJ deliberation. Further testing of the validity, generalizability and reliability of the framework is planned.

Indexed as

Decision MakingGoalsHealth PolicyCommunity ParticipationHumanscitizens jurycommunity juryhealthpublic deliberationpublic engagementqualitystakeholder involvement

Identifiers

PMID30864216
PMCPMC6543138

What OpenQuestion holds

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LicenceCC BY
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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.