Mining Electronic Health Records Data: Domestic Violence and Adverse Health Effects

• Published in: Journal of family violence Vol. 32; no. 1; pp. 79 - 87
• Main Authors: Karakurt, Gunnur, Patel, Vishal, Whiting, Kathleen, Koyutürk, Mehmet
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2017; Springer; Springer Nature B.V
• Subjects: Abused women; Chronic illnesses; Clinical Psychology; Computerized medical records; Conjugal violence; Criminology and Criminal Justice; Data mining; Domestic violence; Electronic health records; Females; Gender-based violence; Habits; Health aspects; Health problems; Health records; Health services; Illnesses; Injuries; Intimate partner violence; Law and Psychology; Medicine; Medicine & Public Health; Mental disorders; Mental health; Mining; Original Article; Patients; Pregnancy; Psychotherapy and Counseling; Public health; Quality of care; Quality of life; Quality of Life Research; Sex crimes; Sexual behavior; Statistical analysis; Substance abuse; Victims; Violence research; Women; Women's health; Women's issues; Womens health; United States; Cleveland Ohio; United States > US; Big data mining; Domestic violence; Health consequences; Epidemiology; Intimate partner violence; intimate partner violence; epidemiology; health consequences; domestic violence; big data mining
• ISSN: 0885-7482; 1573-2851
• DOI: 10.1007/s10896-016-9872-5

Intimate partner violence (IPV) often culminates in acute physical injury, sexual assault, and mental health issues. It is crucial to understand the healthcare habits of victims to develop interventions that can drastically improve a victim’s quality of life and prevent future abuse. The objective of this study is to mine de-identified and aggregated Electronic Health Record data to identify women’s health issues that are potentially associated with IPV. In this study we compared health issues of female domestic abuse victims to female non-domestic abuse victims. The Domestic abuse population contained 5870 patients, while the Non-Domestic Abuse population contained 14,315,140 patients. Explorys provides National Big Data from the entire USA. Statistical analysis identified 2429 terms as significantly more prevalent among victims of domestic abuse, compared to the general population. These terms were classified into broad categories, including acute injury, chronic conditions, substance abuse, mental health, disorders, gynecological and pregnancy related problems.