Senior Hospital Physician Leaders’ Perspectives on Factors That Impact Physician Engagement: A Qualitative Interview Study
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Bibliographic record
Abstract
Background: Physicians are essential in health-care delivery. Physician engagement, defined as active participation in administrative and leadership activities in their organization, is a useful metric for hospital leaders to evaluate as they develop and implement strategy. The purpose of this study was to gain insight into the perspectives of senior hospital physician leaders on factors impacting physician engagement. Methods: Semi-structured interviews were conducted virtually. A purposive sample was used. Hospital physician senior leaders were recruited from Ontario public hospitals in Canada. The interviews were recorded, transcribed verbatim, and analyzed. Results: Ten participants in senior hospital physician leadership positions were interviewed. Seven themes were identified as impacting physician engagement: being seen and being heard, accountability, trust, leadership engagement, intercommunication, organizational stability, and discord within the organization . Saturation of themes was achieved. Conclusion: Two-way communication is essential to physician engagement. Physician input in decision-making processes is a vital way to improve engagement. For this to work, leadership must also be engaged. Trust and accountability are critical attributes for senior hospital physician leaders, especially during times of organizational instability. For physicians whose remuneration model is fee-for-service, new compensation models are required for them to actively participate in hospital decision-making. Keywords: physician engagement, hospitals, leadership, interviews as a topic, qualitative research
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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 it