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      Estimating the Effect of Intimate Partner Violence on Women’s Use of Contraception: A Systematic Review and Meta-Analysis

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          Abstract

          Background

          Intimate partner violence (IPV) is an important global public health problem. While there is a growing literature on the association between IPV and women’s reproductive health (RH) outcomes, most studies are cross-sectional—which weakens inference about the causal effect of IPV on women’s RH. This systematic review synthesizes existing evidence from the strongest study designs to estimate the impact of IPV on women’s use of contraception.

          Methods

          We searched 11 electronic databases from January of 1980 to 3 December 2013 and reviewed reference lists from systematic reviews for studies examining IPV and contraceptive use. To be able to infer causality, we limited our review to studies that had longitudinal measures of either IPV or women’s use of contraception.

          Results

          Of the 1,574 articles identified by the search, we included 179 articles in the full text review and extracted data from 12 studies that met our inclusion criteria. We limited the meta-analysis to seven studies that could be classified as subject to low or moderate levels of bias. Women’s experience of IPV was associated with a significant reduction in the odds of using contraception (n = 14,866; OR: 0.47; 95% CI: 0.25, 0.85; I 2 = 92%; 95% CI I 2 : 87%, 96%). Restricting to studies that measured the effect of IPV on women’s use of partner dependent contraceptive methods was associated with a reduction in the heterogeneity of the overall estimate. In the three studies that examined women’s likelihood of using male condoms with their partners, experience of IPV was associated with a significant decrease in condom use (OR: 0.48; 95% CI OR: 0.32, 0.72; I 2 = 51%; 95% CI I 2 : 0%, 86%).

          Conclusions

          IPV is associated with a reduction in women’s use of contraception; women who experience IPV are less likely to report using condoms with their male partners. Family planning and HIV prevention programs should consider women’s experiences of IPV.

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          Most cited references35

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          Global health. The global prevalence of intimate partner violence against women.

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            Intimate Partner Violence and Incident Depressive Symptoms and Suicide Attempts: A Systematic Review of Longitudinal Studies

            Karen Devries and colleagues conduct a systematic review of longitudinal studies to evaluate the direction of association between symptoms of depression and intimate partner violence. Please see later in the article for the Editors' Summary
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              A structural approach to selection bias.

              The term "selection bias" encompasses various biases in epidemiology. We describe examples of selection bias in case-control studies (eg, inappropriate selection of controls) and cohort studies (eg, informative censoring). We argue that the causal structure underlying the bias in each example is essentially the same: conditioning on a common effect of 2 variables, one of which is either exposure or a cause of exposure and the other is either the outcome or a cause of the outcome. This structure is shared by other biases (eg, adjustment for variables affected by prior exposure). A structural classification of bias distinguishes between biases resulting from conditioning on common effects ("selection bias") and those resulting from the existence of common causes of exposure and outcome ("confounding"). This classification also leads to a unified approach to adjust for selection bias.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 February 2015
                2015
                : 10
                : 2
                : e0118234
                Affiliations
                [1 ]Department of Epidemiology, Biostatistics, & Occupational Health, McGill University, Montréal, Québec, Canada
                [2 ]Social and Mathematical Epidemiology Group and Gender Violence and Health Centre, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [3 ]Department of Community-Public Health, Johns Hopkins University School of Nursing, Baltimore, Maryland, United States of America
                University of Rochester, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: LM. Performed the experiments: LM DZ. Analyzed the data: LM. Contributed reagents/materials/analysis tools: LM KD. Wrote the paper: LM KD JA JC.

                Article
                PONE-D-14-32535
                10.1371/journal.pone.0118234
                4334227
                25693056
                1ddc8679-bca8-489c-91da-f0b5f88287cf
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 21 July 2014
                : 9 January 2015
                Page count
                Figures: 5, Tables: 3, Pages: 25
                Funding
                Funding support for the preparation of this manuscript was provided by the Maternal and Child Health Equity Project (MACHEquity), funded by the Canadian Institutes of Health Research. No funding bodies had any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
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                All relevant data are within the paper and its Supporting Information files.

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