Latent gender inequalities in the well-being of physicians according to payment method for practicing medicine: a cross-sectional study
Notice bibliographique
Résumé
Background: Female physicians face extra challenges in their career development and tend to choose salary or other forms of alternative payment plans (APP). Fee-for-service (FFS) and APP may affect the well-being of female and male physicians differently. Three measures of well-being are: levels of career satisfaction, professional equity, and daily distress. The objectives are to identify differences in the levels of career satisfaction, fulfillment-recognition equity, and daily distress of physicians by gender and payment method, and to assess interactions between these two factors. Methods: A cross-sectional study was conducted in 2011 with physicians practicing in the Saskatoon Health Region, Saskatchewan, Canada. Resident physicians were excluded from the study. Eligible physicians completed a survey, assessing levels of daily distress, fulfillment-recognition equity, and career satisfaction as dependent variables. A multivariate analysis of variance (MANOVA), using the Wilks’ Lambda criterion, was conducted to study differences among the dependent variables by remuneration method and gender. Multiple comparisons were performed as post-hoc tests. Results: Nearly half (382) of the 794 eligible physicians completed the questionnaire; 37.2% were female. Half were remunerated by FFS, a quarter by APP, and the remainder by blended forms. Career satisfaction and fulfillment- recognition equity were positively correlated to each other and daily distress was negatively correlated with both. According to the MANOVA results, the dependent variables were affected by gender but not by payment method, and there was no evidence of an interaction effect between payment method and gender. Women reported lower levels of career satisfaction (p=0.01) and fulfillment-recognition equity (p=0.01), and higher levels of daily distress (p=0.03). Conclusion: Female physicians reported poorer well-being than male physicians. In contrast, no differences in the well-being were found among physicians paid by APP, blended methods, and FFS schemes. Further cross-national studies are recommended to study potential effects of APP on the identified gender inequalities.
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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 | 0,001 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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.
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