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Identifying health correlates of intimate partner violence against pregnant women

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Abstract

Purpose

Violence against women during pregnancy is a serious public health concern due to its significant adverse health consequences for both the mother and the baby. This study aims to systematically identify common health problems and synergistic health correlates of intimate partner violence (IPV) that specifically affect pregnant women.

Methods

We mine large-scale electronic health record (EHR) data from the IBM Explorys database to identify health problems that are prevalent in both IPV and pregnancy populations, as well those that are synergistically associated with the presence of IPV during pregnancy. For this purpose, we develop methods that enhance the statistical reliability of identified patterns by constructing confidence intervals that take into account systematic bias and measurement errors in addition to the variance in estimation.

Results

We identify with high confidence 668 and 2750 terms that are respectively prevalent in respectively IPV and pregnancy populations. Of these terms, 279 are common. We also identify 16 synergistic health correlates with high confidence. Our results suggest that mental health, substance abuse, and genitourinary complications are prevalent among pregnant women exposed to IPV. The synergistic terms we identify reveal potential conditions that can be direct consequences of trauma (e.g., tibial fracture), long-term health consequences (e.g., chronic rhinitis), markers associated with the demograhics of affected populations (e.g., acne), and risk factors that potentially increase vulnerability during pregnancy (e.g., disorders of attention and motor control).

Conclusions

Our results indicate that IPV significantly affects the well-being of pregnant women in multiple ways. The findings of this study can be useful for screening of IPV in pregnant women. Finally, the methodology presented here can also be useful for investigating the synergy between other medical conditions using EHR databases with privacy constraints.

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Acknowledgements

This work is supported by the National Institutes of Health (NIH) grant R01-LM012518 from the National Library of Medicine.

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Authors and Affiliations

  1. Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA

    Serhan Yılmaz & Ahmet Mert Hacialiefendioglu

  2. Systems Biology and Bioinformatics Program Case Western Reserve University, Cleveland, OH, USA

    Bushra Alghamdi

  3. Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA

    Srinidhi Singuri

  4. Department of Reproductive Biology, Case Western Reserve University, Cleveland, OH, USA

    Tülin Özcan

  5. University Hospitals, Cleveland, OH, USA

    Tülin Özcan & Günnur Karakurt

  6. Department of Computer and Data Sciences, Center for Proteomics and Bioinformatics Case Western Reserve University, Cleveland, OH, USA

    Mehmet Koyutürk

  7. Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA

    Günnur Karakurt

Authors
  1. Serhan Yılmaz
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  2. Bushra Alghamdi
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  3. Srinidhi Singuri
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  4. Ahmet Mert Hacialiefendioglu
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  5. Tülin Özcan
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  6. Mehmet Koyutürk
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  7. Günnur Karakurt
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Corresponding author

Correspondence to Serhan Yılmaz.

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Yılmaz, S., Alghamdi, B., Singuri, S. et al. Identifying health correlates of intimate partner violence against pregnant women. Health Inf Sci Syst 8, 36 (2020). https://doi.org/10.1007/s13755-020-00124-6

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  • DOI: https://doi.org/10.1007/s13755-020-00124-6

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