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Record W2167033557 · doi:10.1111/1468-0009.12060

What Are the Key Ingredients for Effective Public Involvement in Health Care Improvement and Policy Decisions? A Randomized Trial Process Evaluation

2014· article· en· W2167033557 on OpenAlex
Antoine Boivin, Pascale Lehoux, Jako Burgers, Richard Grol

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMilbank Quarterly · 2014
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
FundersUniversité de SherbrookeCanadian Institutes of Health ResearchCanadian Foundation for Healthcare Improvement
KeywordsKey (lock)Randomized controlled trialProcess (computing)Process managementBusinessPublic healthHealth careMedicinePublic relationsNursingComputer sciencePolitical scienceComputer security

Abstract

fetched live from OpenAlex

CONTEXT: In the past 50 years, individual patient involvement at the clinical consultation level has received considerable attention. More recently, patients and the public have increasingly been involved in collective decisions concerning the improvement of health care and policymaking. However, rigorous evaluation guiding the development and implementation of effective public involvement interventions is lacking. This article describes those key ingredients likely to affect public members' ability to deliberate productively with professionals and influence collective health care choices. METHOD: We conducted a trial process evaluation of public involvement in setting priorities for health care improvement. In all, 172 participants (including 83 patients and public members and 89 professionals) from 6 Health and Social Services Centers in Canada participated in the trial. We video-recorded 14 one-day meetings, and 2 nonparticipant observers took structured notes. Using qualitative analysis, we show how public members influenced health care improvement priorities. FINDINGS: Legitimacy, credibility, and power explain the variations in the public members' influence. Their credibility was supported by their personal experience as patients and caregivers, the provision of a structured preparation meeting, and access to population-based data from their community. Legitimacy was fostered by the recruitment of a balanced group of participants and by the public members' opportunities to draw from one another's experience. The combination of small-group deliberations, wider public consultation, and a moderation style focused on effective group process helped level out the power differences between professionals and the public. The engagement of key stakeholders in the intervention design and implementation helped build policy support for public involvement. CONCLUSIONS: A number of interacting active ingredients structure and foster the public's legitimacy, credibility, and power. By paying greater attention to them, policymakers could develop and implement more effective public involvement interventions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.121
GPT teacher head0.449
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it