Family physicians’ moral distress when caring for patients experiencing social inequities: a critical narrative inquiry in primary care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Family physicians (GPs) working with patients experiencing social inequities have witnessed patients' healthcare needs proliferate. Alongside increased workload demands fostered within current remuneration structures, this has generated concerning reports of family physician attrition and possible experiences of moral distress. AIM: To explore stories of moral distress shared by family physicians caring for patients experiencing health needs related to social inequities. DESIGN AND SETTING: A critical narrative inquiry, informed by the analytic lens of moral distress, conducted in Ontario, Canada. METHOD: Twenty family physicians were recruited through purposive and snowball sampling via word of mouth and email mailing lists relevant to addictions and mental health care. Physicians participated in two narrative interviews and had the opportunity to review the interview transcripts. RESULTS: Family physicians' accounts of moral distress were linked to policies governing physician remuneration, scope of practice, and the availability of social welfare programmes. These structural elements left physicians unable to get patients much needed support and resources. CONCLUSION: This study provides evidence that physicians experience moral distress when unable to offer crucial resources to improve the health of patients with complex social needs resulting from structural features of the Canadian health and social welfare system. Further research is needed to critically interrogate how health and social welfare systems around the world can be reformed to improve the health of patients and increase family physicians' professional quality of life, potentially improving retention.
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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 | 0.005 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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