Interventions for preventing or reducing domestic violence against pregnant women
Bibliographic record
Abstract
BACKGROUND: Domestic violence during pregnancy is a major public health concern. This preventable risk factor threatens both the mother and baby. Routine perinatal care visits offer opportunities for healthcare professionals to screen and refer abused women for effective interventions. It is, however, not clear which interventions best serve mothers during pregnancy and postpartum to ensure their safety. OBJECTIVES: To examine the effectiveness and safety of interventions in preventing or reducing domestic violence against pregnant women. SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (19 June 2012), scanned bibliographies of published studies and corresponded with investigators. SELECTION CRITERIA: We included randomised controlled trials (RCTs) including cluster-randomised trials, and quasi-randomised controlled trials (e.g. where there was alternate allocation) investigating the effect of interventions in preventing or reducing domestic violence during pregnancy. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trial quality and extracted data. MAIN RESULTS: We included nine trials with a total of 2391 women; however, for most outcomes very few studies contributed data and results were predominantly based on findings from single studies. There was evidence from one study that the total number of women reporting episodes of partner violence during pregnancy, and in the postpartum period was reduced for women receiving a psychological therapy intervention (risk ratio (RR) 0.62, 95% confidence interval (CI) 0.48 to 0.88). There were few statistically significant differences between intervention and control groups for depression during pregnancy and the postnatal period. Only one study reported findings for neonatal outcomes such as preterm delivery and birthweight, and there were no clinically significant differences between groups. None of the studies reported results for other secondary outcomes: Apgar score less than seven at one minute and five minutes, stillbirth, neonatal death, miscarriage, maternal mortality, antepartum haemorrhage, and placental abruption. AUTHORS' CONCLUSIONS: There is insufficient evidence to assess the effectiveness of interventions for domestic violence on pregnancy outcomes. There is a need for high-quality, RCTs with adequate statistical power to determine whether intervention programs prevent or reduce domestic violence episodes during pregnancy, or have any effect on maternal and neonatal mortality and morbidity outcomes.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".