ArticlePloS one2022
Help seeking behavior by women experiencing intimate partner violence in india: A machine learning approach to identifying risk factors.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.Journal of clinical nursing · 2026Pooled it
- Help-seeking among women with disabilities who experience domestic violence in Uganda: evidence from UDHS 2006, 2011, and 2016.Global health action · 2026Article
- Feasibility of a Low-Intensity Task-Shared Intervention for Common Mental Disorders in Survivors of Intimate Partner Violence in India: A Mixed Methods Study.Violence against women · 2026Article
- Are Households Affected by Intimate Partner Violence Less Likely to Enroll Children into Early Education in India: Findings from the Fifth National Family Health Survey, 2019 to 2021.Journal of interpersonal violence · 2026Article
- "Because I Am a Female": Stigma and Safety Perspectives from Racially/Ethnically Diverse Women with Serious Mental Illnesses.Community mental health journal · 2025Article
- Police-reported family violence: are there differences amongst South Asian Australians and Australian-born Australians?Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2025Article
- AI's ongoing impact: Implications of AI's effects on health equity for women's healthcare providers.Revista panamericana de salud publica = Pan American journal of public health · 2025Article
- Factors associated with help-seeking by women facing intimate partner violence in India: findings from National Family Health Survey-5 (2019-2021).BMC global and public health · 2024Article
- Men's attitude towards wife-beating: understanding the pattern and trend in India.BMC public health · 2024Article
- Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys (NFHS-4).SSM - population health · 2022Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the low prevalence of help-seeking behavior among victims of intimate partner violence (IPV) in India, quantitative evidence on risk factors, is limited. We use a previously validated exploratory approach, to examine correlates of help-seeking from anyone (e.g. family, friends, police, doctor etc.), as well as help-seeking from any formal sources.
methodsWe used data from a nationally-representative health survey conducted in 2015-16 in India, and included all variables in the dataset (~6000 variables) as independent variables. Two machine learning (ML) models were used- L-1, and L-2 regularized logistic regression models. The results from these models were qualitatively coded by researchers to identify broad themes associated with help-seeking behavior. This process of implementing ML models followed by qualitative coding was repeated until pre-specified criteria were met.
resultsIdentified themes associated with help-seeking behavior included experience of injury from violence, husband's controlling behavior, husband's consumption of alcohol, and being currently separated from husband. Themes related to women's access to social and economic resources, such as women's employment, and receipt of maternal and reproductive health services were also noted to be related factors. We observed similarity in correlates for seeking help from anyone, vs from formal sources, with a greater focus on women being separated for help-seeking from formal sources.
conclusionFindings highlight the need for community programs to reach out to women trapped in abusive relationships, as well as the importance of women's social and economic connectedness; future work should consider holistic interventions that integrate IPV screening and support services with women's health related services.
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