May I long experience the joy of healing: professional and personal wellbeing among physicians from a Canadian province
Notice bibliographique
Résumé
BACKGROUND: The development of best practices to promote physician wellbeing at the individual and organisational levels is receiving increased attention. Few studies have documented how physicians perceive their wellbeing in these contexts. The purpose of this qualitative study is to identify and discuss the reported factors that hinder wellbeing, as well as the reported factors that would promote wellbeing among physicians. METHODS: There were 165 physicians from a province of Canada who wrote their open-ended responses to two questions, as part of a larger self-report questionnaire. The questions asked what causes them stress, and what interventions should be implemented at organisational/institutional levels. The largest specialty was family medicine, followed by internal medicine, and surgical disciplines, with 58% of participants male. A general inductive approach was used to analyze the data and themes and sub-themes were discovered using the socio-ecological model as the framework. RESULTS: Reponses were both personal and professional which resulted in the emergence of four major themes to reflect this diversity. These themes were external constraints on the practice of medicine, issues at the professional/institutional levels, issues at the individual practice level, and work/life balance. The work/life balance theme received the highest number of responses followed by external constraints on the practice of medicine. In the major theme of work-life balance, work-life conflict received the most responses, and in the major theme of external constraints on practice of medicine, lack of resources (human and material) and restrictions to autonomy received the most responses. Ideas for interventions in the work/life balance theme were health promotion, and healthy workplace initiatives. In the second largest theme, suggested ideas for interventions were collegiality/professionalism and policy formulation at the health care system. CONCLUSION: Our findings have implications for governance and health policy, health human resources and education. In particular, the socio-ecological framework was a useful framework to analyse physician wellbeing due to its applicability for issues at the structural, organisational, and individual levels. Future research should target interventions at the organisational and institutional levels to address work-life conflict and job dissatisfaction.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».