Latent gender inequalities in the well-being of physicians according to payment method for practicing medicine: a cross-sectional study
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".