Maternal and fetal outcomes of intimate partner violence associated with pregnancy in the Latin American and Caribbean region
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: Very high rates of intimate partner violence during pregnancy (IPV-P) are reported in Latin America and the Caribbean (LAC) but data on prevalence and obstetric-related outcomes are limited. OBJECTIVES: To conduct a literature review on risk factors, prevalence, and adverse obstetric-related outcomes of IPV-P in LAC. SEARCH STRATEGY: Systematic review of studies in MEDLINE (1946-2012) and LILACS (1982-2012), and hand searching of reference lists of included studies. Search terms were variations of partner abuse and pregnancy in LAC. SELECTION CRITERIA: Studies were excluded if they did not include IPV-P prevalence or if the perpetrator was not an intimate partner. DATA COLLECTION AND ANALYSIS: Study quality was assessed via US Preventive Services Task Force criteria. MAIN RESULTS: In the 31 studies included, prevalence rates ranged from 3% to 44%. IPV-P was significantly associated with unintended pregnancies and adverse maternal (depression, pregnancy-related symptom distress, inadequate prenatal care, vaginal bleeding, spontaneous abortion, gestational weight gain, high maternal cortisol, hypertension, pre-eclampsia, STIs) and infant (prematurity, low birth weight, neonatal complications, stillbirth) outcomes (grade II-2 and 3 evidence). CONCLUSIONS: IPV-P is highly prevalent in LAC, with poor obstetric-related outcomes. Clinicians must identify women experiencing IPV-P and institute appropriate interventions and referrals to avoid its deleterious consequences.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 it