Evidence map›Paper›PMID 33088491›Full record

ArticleHealth information science and systems2020

Identifying health correlates of intimate partner violence against pregnant women.

Serhan Yılmaz, Bushra Alghamdi, Srinidhi Singuri, Ahmet Mert Hacialiefendioglu, Tülin Özcan, Mehmet Koyutürk, Günnur Karakurt

Abstract read
In one paragraph

Article in Health information science and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Comprehensive Analysis of Electronic Health Records to Characterize The Association Between Intimate Partner Violence and Mental Health.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  3. Caring for Mothers: A Narrative Review on Interpersonal Violence and Peripartum Mental Health.International journal of environmental research and public health · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Serhan YılmazDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH USA.ORCID 0000-0003-4669-9593
Bushra AlghamdiSystems Biology and Bioinformatics Program Case Western Reserve University, Cleveland, OH USA.
Srinidhi SinguriCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH USA.
Ahmet Mert HacialiefendiogluDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH USA.
Tülin ÖzcanDepartment of Reproductive Biology, Case Western Reserve University, Cleveland, OH USA.
Mehmet KoyutürkDepartment of Computer and Data Sciences, Center for Proteomics and Bioinformatics Case Western Reserve University, Cleveland, OH USA.
Günnur KarakurtUniversity Hospitals, Cleveland, OH USA.

Funding

Decision-Making Modeling for Treating Intimate Partner ViolenceR01LM012518 · NLM · CASE WESTERN RESERVE UNIVERSITY · PI KARAKURT KOYUTURK, GUNNUR · 2018 to 2022
$1.3M
NLM NIH HHS R01 LM012518
6 · The paper itself

Abstract

purposeViolence 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.

methodsWe 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.

resultsWe 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).

conclusionsOur 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.

Indexed as

Data miningEHRIPVPregnant womenSynergistic health correlates

Identifiers

PMID33088491
PMCPMC7561659

What OpenQuestion holds

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Registered trials

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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.