Spousal perspectives on factors influencing recruitment and retention of rural family physicians.
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Recruiting and retaining medical personnel to rural communities is a human resource challenge. Studies suggest that the spouse's experiences and perceptions of a rural community are among the most influential factors in a physician's decision to remain in or leave a rural practice. This study describes the factors that both directly and indirectly influence spousal contentment and explores how these factors contribute toward recruitment and retention of physicians to rural practice locations. METHODS: In this explorative study, 13 interviews were conducted with spouses of rural physicians to gain a better understanding of spousal concerns and experience regarding rural living. Participants in the present study included the spouses of general practitioners and family physicians practising and living in rural communities (population<or=10,000) on the Burin and Bonavista peninsulas of Newfoundland and Labrador. Specialists, residents and locums were excluded from the study. RESULTS: The findings indicate that physician workload and community integration most highly influence spousal contentment. Other factors, including licensure, remuneration and physician demand, indirectly influence spousal contentment and, ultimately, practice location decisions. Many of the factors that directly influence spousal contentment are personal, and, as a result, it is difficult to implement policies that will influence them. CONCLUSION: The physician's spouse is highly influential in the decision to move to, remain in, or leave a rural practice location. Understanding the factors that contribute to, and detract from, spouses' contentment in rural practice offers useful insights for human resource policies.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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