The role of gender, profession and informational role self-efficacy in physician–nurse knowledge sharing and decision-making
Bibliographic record
Abstract
While gender and professional status influence how decisions are made, the role played by health care professionals' informational role self-efficacy appears as a central construct fostering participation in decision-making. The goal of this study is to contribute to a better understanding of how gender and profession affect the role of self-efficacy in sharing expertise and decision-making. Validated questionnaires were answered by a cross-sectional sample of 108 physicians and nurses working in mental health care teams. A moderated mediation analysis was performed. Results reveal that the impact of sharing knowledge on informational role self-efficacy is negative for nurses. Being a nurse negatively affects the relation between informational role self-efficacy and participating in decision-making. Informational role self-efficacy is also a strong positive predictor of participation in decision-making for male physicians but less so for female physicians.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".