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- W4315628842 abstract "Among homicides in the United States, intimate partners kill almost 50% of female and 10% of male victims. Intimate partner violence (IPV) also contributes to an estimated 6% of suicides. These trends suggest that opportunities for IPV interventions prior to the fatalities may have been missed. Thus, researchers must investigate the context and circumstances of IPV-related fatalities to inform effective prevention strategy development. There are two primary national fatality databases that can be used to examine such factors: the National Violent Death Reporting System (NVDRS, homicide and suicides); and the Uniform Crime Reporting-Supplementary Homicide Reports (UCR-SHR, homicides). These datasets include data on many IPV-related violent deaths but are limited by variations in data quality. This critical review summarizes opportunities and challenges when examining IPV-related fatalities using these national datasets. To document how the current literature is conceptualizing IPV, a rapid review on IPV-related homicide and suicide articles was performed (2019–2022). Missingness analyses were conducted to describe limitations in key dataset variables. These datasets enable tracking IPV-related fatalities nationally over time. However, issues with the operationalization of variables that record IPV circumstances, particularly in the UCR-SHR, and high levels of missingness represent significant barriers to research. Novel methodologies can optimize the use of these datasets. National-level datasets enable researchers to examine IPV-related fatalities, evaluate policy differences between states, and monitor trends and disparities. This research can inform key recommendations for interventions to prevent IPV-related fatalities." @default.
- W4315628842 created "2023-01-12" @default.
- W4315628842 creator A5020622477 @default.
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- W4315628842 date "2023-01-12" @default.
- W4315628842 modified "2023-10-14" @default.
- W4315628842 title "Examining Intimate Partner Violence-Related Fatalities: Past Lessons and Future Directions Using U.S. National Data" @default.
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- W4315628842 doi "https://doi.org/10.1007/s10896-022-00487-2" @default.
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