Disparities in Severe Maternal Morbidity and Mortality—A Call for Inclusion of Disability in Obstetric Research and Health Care Professional Education
Bibliographic record
Abstract
Despite advances in medicine, rates of adverse maternal outcomes, such as severe maternal morbidity and maternal mortality, are increasing in high-income countries. 1 Of particular concern is the observation that such increases include widening disparities among underserved and minoritized populations. They found women with disabilities were at elevated risk of a range of obstetric interventions, including cesarean delivery (adjusted relative risk [aRR], 1.33; 95% CI, 1.25-1.42), and adverse maternal outcomes, including individual markers of severe maternal morbidity, such as cardiovascular events (aRR, 4.02; 95% CI, 2.87-5.63), infection (aRR, 2.69; 95% CI, 1.97-3.67), and venous thromboembolism (aRR, 6.08; 95% CI, 4.03-9.16) as well as maternal
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| 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".