Evidence map›Paper›PMID 41726418›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Identifying Latent Patterns of Intimate Partner Violence Using Electronic Health Records and Association Rule Mining.

Azade Tabaie, Shelby A Wyand, Fan Cao, Lia Losonczy, Sonita S Bennett, Leah M Blackall, Alina Potts, Allan Fong

Abstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Azade TabaieCenter for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC.
Shelby A WyandCenter for Health Equity Research, MedStar Health Research Institute, Washington, DC.
Fan CaoSchool of Medicine, Georgetown University, Washington, DC.
Lia LosonczyDepartment of Emergency Medicine, George Washington University, Washington, DC.
Sonita S BennettCenter for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC.
Leah M BlackallCenter for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC.
Alina PottsGlobal Women's Institute, George Washington University, Washington, DC.
Allan FongCenter for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC.

Funding

Barriers to Screen for Domestic Violence among Women in Emergency DepartmentR21NR021040 · NINR · MEDSTAR HEALTH RESEARCH INSTITUTE · PI TABAIE, AZADE · 2024 to 2024
$433k
NINR NIH HHS R21 NR021040
6 · The paper itself

Abstract

Intimate partner violence (IPV) remains a significant public health concern, yet its identification in emergency department (ED) settings is often challenging, as IPV-related ICD-10 are infrequently and inconsistently used. This study employs electronic health record (EHR) data and association rule mining to identify latent patterns indicative of IPV among female patients in ED. We applied the Apriori algorithm to identify associations between co-occurring health conditions in confirmed IPV survivors and non-IPV patients. The analysis revealed distinct patterns in both groups, with IPV survivors showing stronger links between physical injuries, mental health conditions (e.g., depression, suicidal ideation), and socioeconomic stressors. Non-IPV cases were primarily associated with anxiety disorders and family-related stressors. These findings highlight the potential of informatics-driven approaches to improve IPV detection by revealing subtle clinical signals that may notbe overtly disclosed. Our work paves the way for developing data-driven tools to enhance IPV screening and clinical decision-making in ED.

Indexed as

Data MiningElectronic Health RecordsIntimate Partner ViolenceAdultAlgorithmsEmergency Service, HospitalFemaleHumans

Identifiers

PMID41726418
PMCPMC12919600

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.