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Record W2997425517 · doi:10.1016/j.respe.2019.09.010

Approche terminologique de l’engagement des patients : point de vue d’un établissement de santé français

2019· review· fr· W2997425517 on OpenAlexaff
Philippe Michel, A. Brudon, Mr.-P. Pomey, I. Durieu, N. Baille, Anne‐Marie Schott, Isabelle Dadon, Christian Saout, Amah Kouevi, F. Blanchardon, Brigitte Volta-Paulet, Quitterie Reynaud, Julie Haesebaert

Bibliographic record

VenueRevue d Épidémiologie et de Santé Publique · 2019
Typereview
Languagefr
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTerminologyHealth careTrainerExperiential learningAllianceMedical educationPsychologyNursingMedicinePolitical sciencePedagogyComputer science

Abstract

fetched live from OpenAlex

L’établissement d’une terminologie commune pragmatique en langue française, actuellement non-disponible, représente la première étape de structuration des démarches d’engagement des patients dans les établissements de santé. Dans le cadre du déploiement de l’engagement des patients au sein d’un centre hospitalo-universitaire, nous proposons une terminologie de l’engagement des patients. Une revue exploratoire (scoping review) de la littérature internationale visant à recenser les principaux cadres conceptuels et terminologiques de l’engagement des patients, usagers et citoyens dans le système de santé a été réalisée dans les bases de données PubMed et Cairn.info pour les articles de langue anglaise et française jusqu’en 2019. Cette revue a été complétée par un recensement des concepts et pratiques dans les organisations leader des pays où cette démarche était implantée (États-Unis, Canada et spécialement la province de Québec, Royaume-Uni) Et des échanges étroits et réflexions avec l’équipe ayant développé le modèle de Montréal. Au total, 75 références et ressources internet ont été consultées. Les termes de patients, interaction, expérience patient, savoirs expérientiels, engagement des patients, patient-partenaire et ses déclinaisons en patient-ressource, pair-aidant, formateur, chercheur et coach, ont été définis. Ce travail sur la terminologie de l’engagement des patients propose une simplification et une première stabilisation du vocabulaire avec une approche pragmatique. Cette contribution vise à promouvoir le développement d’un nouveau modèle de soins et plus largement de management du système santé, associant les savoirs scientifiques et expérientiels. The establishment of a common pragmatic terminology represents the first step in structuring patient engagement initiatives in healthcare facilities. However, none is currently available in French. As part of the deployment of patient engagement within a French University Hospital Center, we propose a terminology of patient engagement. We conducted a scoping review of the international literature that aimed at identifying the main conceptual and terminological frameworks for the engagement of patients, users and citizens in the healthcare system until 2019 in the PubMed and Cairn.info databases for English and French language articles. Additionally, we identified concepts and practices in the leading organizations of countries where this approach was implemented (United States, Canada and especially the province of Quebec, United Kingdom) and completed this approach by close exchanges and reflections with the team that developed the Montreal model. In total, 75 references and Internet resources were consulted. Patient, interaction, patient experience, experiential knowledge, patient engagement, patient partner and its variations as a resource patient, peer-supporter, trainer, researcher and coach have been defined. This terminology of patient engagement proposes an initial stabilization of the vocabulary, using a pragmatic approach. This contribution is a first step aiming at promoting the development of a new model of care and more broadly of healthcare system management, involving scientific and experiential knowledge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.080
metaresearch head score (Gemma)0.103
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.080
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.103
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0050.004
Science and technology studies0.0020.004
Scholarly communication0.0080.008
Open science0.0050.004
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.190
GPT teacher head0.431
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2019
Admission routes1
Has abstractno

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