College complaints against resident physicians in Canada: a retrospective analysis of Canadian Medical Protective Association data from 2013 to 2017
Notice bibliographique
Résumé
<h3>Background:</h3> An understanding of regulatory complaints against resident physicians is important for practice improvement. We describe regulatory college complaints against resident physicians using data from the Canadian Medical Protective Association (CMPA). <h3>Methods:</h3> We conducted a retrospective analysis of college complaint cases involving resident doctors closed by the CMPA, a mutual medicolegal defence organization for more than 100 000 physicians, representing an estimated 95% of Canadian physicians. Eligible cases were those closed between 2008 and 2017 (for time trends) or between 2013 and 2017 (for descriptive analyses). To explore the characteristics of college cases, we extracted the reason for complaint, the case outcome, whether the complaint involved a procedure, and whether the complaint stemmed from a single episode or multiple episodes of care. We also conducted a 10-year trend analysis of cases closed from 2008 to 2017, comparing cases involving resident doctors with cases involving only nonresident physicians. <h3>Results:</h3> Our analysis included 142 cases that involved 145 patients. Over the 10-year period, college complaints involving residents increased significantly (<i>p</i> = 0.003) from 5.4 per 1000 residents in 2008 to 7.9 per 1000 in 2017. While college complaints increased for both resident and nonresident physicians over the study period, the increase in complaints involving residents was significantly lower than the increase across all nonresident CMPA members (<i>p</i> < 0.001). For cases from the descriptive analysis (2013–2017), the top complaint was deficient patient assessment (69/142, 48.6%). Some patients (22/145, 15.2%) experienced severe outcomes. Most cases (135/142, 97.9%) did not result in severe physician sanctions. Our classification of complaints found 106 of 163 (65.0%) involved clinical problems, 95 of 163 (58.3%) relationship problems (e.g., communication) and 67 of 163 (41.1%) professionalism problems. In college decisions, 36 of 163 (22.1%) had a classification of clinical problem, 66 of 163 (40.5%) a patient–physician relationship problem and 63 of 163 (38.7%) a professionalism problem. In 63 of 163 (38.7%) college decisions, the college had no criticism. <h3>Interpretation:</h3> Problems with communication and professionalism feature prominently in resident college complaints, and we note the potential for mismatch between patient and health care provider perceptions of care. These results may direct medical education to areas of potential practice improvement.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 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 tête enseignante, 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 ».