RESUMO
Violence in the home, including partner violence, child abuse, and elder abuse, is pervasive in the United States. An informatics approach allowing automated analysis of administrative data to identify domestic assaults and release timely and localized data would assist preventionists to identify geographic and demographic populations of need and design tailored interventions. This study examines the use of an established national dataset, the NEMSIS 2019, as a potential annual automated data source for domestic assault surveillance. An algorithm was used to identify individuals who utilized emergency medical services (EMS) for a physical assault in a private residence (N = 176,931). Descriptive analyses were conducted to define the identified population and disposition of patients. A logistic regression was performed to predict which characteristics were associated with consistent domestic assault identification by the on-scene EMS clinician and dispatcher. The sample was majority female (52.2%), White (44.7%), urban (85.5%), and 21-29 years old (24.4%). A disproportionate number of those found dead on scene were men (74.5%), and female patients more often refused treatment (57.8%) or were treated and then released against medical advice (58.4%). Domestic assaults against children and seniors had higher odds of being consistently identified by both the dispatcher and EMS clinician than those 21-49, and women had lower odds of consistent identification than men. While a more specific field to identify the type of domestic assault (e.g., intimate partner) would help inform specialized intervention planning, these data indicate an opportunity to systematically track domestic assaults in communities and describe population-specific needs.
RESUMO
Nonfatal strangulation is a prevalent, underreported, and dangerous form of intimate partner violence (IPV). It is particularly important to assess for strangulation among abused women as this form of violence may not leave visible injury. The most severe negative physical and mental health consequences of strangulation appear to be dose-related, with those strangled multiple times or to the point of altered consciousness at higher risk of negative sequelae. This research examines the relationship between multiple strangulation, loss of consciousness due to strangulation, and risk of future near-fatal violence to modify the Danger Assessment (DA) and the Danger Assessment for Immigrant women (DA-I), IPV risk assessments intended to predict near-fatal and fatal violence in intimate relationships. Data from one study (n = 619) were used to modify the DA to include an item on multiple strangulation or loss of consciousness due to strangulation. Data from an independent validation sample (n = 389) were then used to examine the predictive validity of the updated DA and DA-I. The updated version of the DA predicts near-fatal violence at 7-8 months follow-up significantly better than the original DA. Adding multiple strangulation or loss of consciousness to the DA-I increased the predictive validity slightly, but not significantly. The DA and DA-I are intended to be used as a collaboration between IPV survivors and advocates as tools for education and intervention. Whether or not an IPV survivor has been strangled, she should be educated about the dangerous nature of strangulation and the need for medical intervention should her partner use strangulation against her. This evidence-based adaptation of the DA and DA-I may assist practitioners to assess for and intervene in dangerous IPV cases.
