ArticleSAGE open medicine2013
Intimate partner violence influence on deliveries assisted by skilled health personnel.
Article in SAGE open medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The associations between intimate partner violence and maternal health care service utilization: a systematic review and meta-analysis.BMC women's health · 2019Pooled it
- Article
- Intimate partner violence and maternal health services utilization: evidence from 36 National Household Surveys.BMC public health · 2021Article
- Article
- Conceptualizing pathways linking women's empowerment and prematurity in developing countries.BMC pregnancy and childbirth · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMillennium Development Goal 5 calls for increasing proportions of deliveries assisted by skilled health personnel to reduce maternal mortality. This study aims to identifying the implication of exposure to intimate partner violence on these proportions. METHODOLOGY: This study used domestic violence modules data of Demographic and Health Surveys of six countries from 2005 to 2007. Proportions of assisted deliveries were examined by sociodemographic characteristics and exposure to intimate partner violence in the studied countries. Influence on the proportion was examined against exposure to intimate partner violence through odds ratio and 95% of logistic regression analysis after controlling for women age, residence (urban/rural), household wealth level, economic level of country, educational level and working status of women and their husbands/partners.
resultsData sets of 18,507 participants over 20 years of age showed that almost three-quarters (73%) of women had deliveries assisted by skilled health personnel. One-third of the women were ever exposed to intimate partner violence (37%) and 9% of them to the severe level. Exposure to intimate partner violence statistically significantly lowered this proportion to 69% (odds ratio: 0.73; 95% confidence interval: 0.67-0.78) meanwhile severe violence lowered it to 65% (odds ratio 0.64; 95% confidence interval: 0.58-0.72). When running multiple regression analysis, exposure to intimate partner violence retained its statistically significant decreasing influence on proportions and was not biased by the other stronger socioeconomic characteristics. CONCLUSION AND RECOMMENDATIONS: Intimate partner violence has an independent influence on reducing assisted deliveries by skilled health personnel. Programs working for increasing proportions of assisted deliveries by skilled health personnel are recommended to integrate protection women from violence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.