Contributors to primary care guidelines: What are their professions and how many of them have conflicts of interest?
Notice bibliographique
Résumé
OBJECTIVE: To determine the professions of those who contribute to guidelines, guideline variables associated with differing contributor participation, and whether conflict of interest statements are provided in primary care guidelines. DESIGN: Retrospective analysis of the primary care guidelines from the Canadian Medical Association website. Two independent data extractors reviewed the guidelines and extracted relevant data. SETTING: Canada. MAIN OUTCOME MEASURES: Sponsors of guidelines, jurisdiction (national or provincial) of guidelines, the professions of those who contribute to guidelines, and the reported conflict of interest statements within guidelines. RESULTS: Of the 296 guidelines in the family medicine section of the CMA Infobase, 65 were duplicates and 35 had limited relevance to family medicine. Twenty did not provide contributor information, leaving 176 guidelines for analysis. In total, there were 2495 contributors (authors and committee members): 1343 (53.8%) non-family physician specialists, 423 (17.0%) family physicians, 141 (5.7%) nurses, 75 (3.0%) pharmacists, 269 (10.8%) other clinicians, 203 (8.1%) nonclinician scientists, and 41 (1.6%) unknown professions. The proportion of contributors from the various professions differed significantly between provincial and national guidelines, as well as between industry-funded and non-industry-funded guidelines (both P < .001). For provincial guidelines, 30.8% of contributors were family physicians and 37.3% were other specialists compared with 13.9% and 57.4%, respectively, for national guidelines. Of industry-funded guidelines, 7.8% of contributors were family physicians and 68.6% were other specialists compared with 19.4% and 49.9%, respectively, for non-industry-funded guidelines. Conflicts of interest were not reported in 68.9% of guidelines. When reported, conflict of interest statements were present for 48.6% of non-family physician specialists, 30.0% of pharmacists, 27.7% of family physicians, and 10.0% or less of the remaining groups; differences were statistically significant (P < .001). CONCLUSION: Non-family physician specialists outnumber all other health care providers combined and are more than 3 times more likely to contribute to primary care guidelines than family physicians are. Conflict of interest statements were provided in the minority of guidelines, and for guidelines in which conflict of interest statements were included, non-family physician specialists were most likely to report them. Guidelines targeted to primary care should have much more primary care and family medicine representation and include fewer contributors who have conflicts of interest.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,150 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,007 | 0,010 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».