Anticipated Impact of Dobbs v Jackson Women's Health Organization on Training of Residents in Obstetrics and Gynecology: A Qualitative Analysis
Bibliographic record
Abstract
Background: ended constitutional protection for abortion, thus severely restricting access to reproductive health care for millions of individuals. Concerns have arisen about the potential impact on medical students, residents, and fellows training in restricted areas and the effect on gynecologic training and the future provision of competent comprehensive women's health care in the United States. Objective: ruling on training in obstetrics and gynecology (OB/GYN). Methods: A participatory action research approach employing methods of qualitative analysis was used. Trainees and leaders in national OB/GYN professional and academic organizations with missions related to clinical care and training of medical students, residents, and fellows in OB/GYN participated. Two focus groups were held via Zoom in July 2022. Using an iterative process, transcripts underwent coding by 2 independent researchers to identify categories and common themes. Themes were organized into categories and subcategories. An additional reviewer resolved discrepancies. Results: Twenty-six OB/GYN leaders/stakeholders representing 14 OB/GYN societies along with 4 trainees participated. Eight thematic categories were identified: competency, provision of reproductive health care, residency selection, inequity in training, alternative training, law-based vs evidence-based medicine, morality and ethics, and uncertainty about next steps. Conclusions: ruling on current and future training in OB/GYN.
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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 | 0.004 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| 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 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".