Family physicians’ sick-listing practices in relation to mental disorders: A descriptive study
Bibliographic record
Abstract
BACKGROUND: Mental disorders are among the leading causes of disability for which family physicians are often required to complete sickness certificates. Yet, little is known about family physicians' sick-listing practices in Quebec. OBJECTIVE: This study aims to describe their practices, difficulties and needs. METHODS: Twenty-three family physicians completed a comprehensive questionnaire on sickness certification practices. Descriptive statistics were used. RESULTS: Despite being completed on a weekly basis, sickness certifications were deemed problematic by all participants. While they rarely refused to sick-list a patient, 43.5% reported suggesting accommodations as an alternative to sick leave. Waiting-time to access psychotherapy and delays to set-up workplace accommodations are responsible for many unnecessary sick-leave prolongations. Lack of time, long duration absences, situations where the physician held a different opinion than the patient/healthcare provider and assessing an individual's capacity to work are the most common reported problems. More than half of participants indicated medical schools do not greatly prepare them to carry out these tasks. CONCLUSION: Sickness certifications are deemed problematic, and more training might be key. Our results can be used by medical schools or bodies responsible for continuous education to improve training.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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".