The associations between intimate partner violence and maternal health care service utilization: a systematic review and meta-analysis
Bibliographic record
Abstract
Intimate partner violence exposes women to a wide range of health problems that can either directly or indirectly lead to maternal death. Although in a number of studies intimate partner violence has been associated with inadequate utilization of antenatal care and skilled delivery care, in other studies no association has been found. Therefore, we aimed to comprehensively review the evidence, and quantify the strength and direction of the association between intimate partner violence and utilizing adequate antenatal and skilled delivery care services. We systematically searched studies from MEDLINE, Embase, Psych INFO, CINAHL, and Maternity and Infant Care. Two independent reviewers screened the articles for eligibility. Quality and risk of bias in the articles were evaluated by using the Newcastle-Ottawa scale for observational studies. Pooled odds ratios and 95% confidence intervals were computed to estimate the association of intimate partner violence and antenatal care, and skilled delivery care. Random-effects models were used to allow for the significant heterogeneity that might possibly be found between studies. The degree of heterogeneity was expressed by using the I 2 statistic. The meta-analyses have shown that women who experienced intimate partner violence had 25% decreased odds (AOR = 0.75, 95%CI = 0.61, 0.92) of using adequate antenatal care than those who did not experience IPV. Similarly, women who experienced IPV had 20% decreased odds (AOR = 0.8, 95%CI = 0.69, 0.92) of using skilled delivery care compared to those who did not experience IPV. The meta-analyses indicated that experiencing intimate partner violence is associated with a lower likelihood of receiving adequate antenatal care and skilled delivery care. Both community-based and facility-based interventions that target the reduction of partner violence, and strictly implementing proven health facility-based counselling interventions, could aid in improving utilization of maternal health care services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.039 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.042 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".