An Unconditional Prenatal Income Supplement Reduces Population Inequities In Birth Outcomes
Bibliographic record
Abstract
The Commission on Social Determinants of Health, sponsored by the World Health Organization, has identified measuring health inequities and evaluating interventions to reduce them as important priorities. We examined whether an unconditional prenatal income supplement for low-income women was associated with reduced population-level inequities in birth outcomes. We identified all mother-newborn pairs from the period 2003-10 in Manitoba, Canada, and divided them into the following three groups: low income exposed (received the supplement); low income unexposed (did not receive the supplement); and not low income unexposed (ineligible for the supplement). We measured inequities in low-birthweight births, preterm births, and breast-feeding initiation among these groups. The findings indicated that the socioeconomic gap in birth outcomes between low-income and other women was significantly smaller when the low-income women received the income supplement than when they did not. The prenatal income supplement may be an important driver in attaining population-level equity in birth outcomes; its success could inform strategies seeking to improve maternal and child health.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".