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Record W4405540119 · doi:10.3917/spub.246.0075

La responsabilité sociale en santé des médecins : analyse du premier tour d’un Delphi international

2024· article· fr· W4405540119 on OpenAlexaff
Naji Mokaddem, Ségolène de Rouffignac, Robin Treutens, Maud Robert, Bernard Millette, Paul Grand’Maison, Josette Castel, Janie Giard, Maxime Sasseville, Marie‐Dominique Beaulieu

Bibliographic record

VenueSanté Publique · 2024
Typearticle
Languagefr
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité LavalUniversité de SherbrookeUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

INTRODUCTION: The definition of social accountability in health (SAH) for medical schools has raised the issue of extending its understanding to health professions. To respond to this challenge, the Réseau international francophone pour la responsabilité sociale en santé (RIFRESS) first focused on physicians, all specialties combined. PURPOSE OF THE STUDY: This article presents the first open round of a Delphi study aimed at exploring the manifestations expected of a physician engaged in SAH, according to the opinion of an international French-speaking group of medical training experts. An intentional sample of experts was invited to participate from the list of RIFRESS members to ensure diversity in relation to certain characteristics. The first round of the Delphi consisted of a questionnaire made up of open questions inviting participants to describe the specific manifestations of a physician whom they consider to be engaged in SAH. The responses were then subjected to thematic analysis. RESULTS: Thirty participants presenting a diversity of profiles provided a total of 140 verbatim statements, grouped into thirteen themes. CONCLUSIONS: The themes emerging from this study refer to medical expertise skills inherent to the profession and especially to behavioral skills essential for a medical practice engaged in social accountability. The values of SAH (quality, equity, relevance, and efficiency) are at the heart of the practitioner's commitments.

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.

How this classification was reachedexpand

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)0.006
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.011
GPT teacher head0.345
Teacher spread0.333 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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