Accommodating Immigrant Women's Preferences for Female Health Care Providers
Bibliographic record
Abstract
OBJECTIVE: To investigate obstetricians' perspectives of the importance, effect, and challenges of providing intrapartum care to immigrant women who request a female obstetrician. METHODS: A focused ethnography was conducted at a large teaching hospital, which serves a high proportion of immigrant clientele (predominantly North or East African, Middle Eastern, and South Asian) in Edmonton, Alberta, Canada. Data collection comprised single, semistructured interviews with a purposive sample of 20 obstetric health care providers (10 resident and 10 staff obstetricians). Interviews were audio-recorded and transcribed verbatim. Data were managed with Quirkos and analyzed using thematic analysis. RESULTS: A total of 13 female and seven male physicians were interviewed. Physicians recognized the validity of immigrant women's preference and requests for female health care providers and expressed sympathy for them. However, they were also resistant and expressed several concerns about accommodating these requests, including fear of perpetuating and exacerbating gender inequalities in medicine, the extent to which patient decision-making was coercion-free, the ability of the health system to meet the demands, and implications for training and quality of care. CONCLUSION: Although physicians were sympathetic to immigrant women's requests for female obstetricians, they placed greater value on maintaining gender equity both within the medical profession and in wider society and resisted accommodating gender-of-health-care-provider requests. Our qualitative study suggests a need for greater research to inform policy that meets the professional and personal values of both physicians and patients.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 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 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".