<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T05:59:12Z</responseDate><request verb="GetRecord" identifier="oai:digital.lib.washington.edu:1773/48028" metadataPrefix="dim">https://digital.lib.washington.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:digital.lib.washington.edu:1773/48028</identifier><datestamp>2026-02-15T22:45:53Z</datestamp><setSpec>com_1773_4888</setSpec><setSpec>col_1773_4918</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Kernic, Mary A</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" authority="985d851d-bf37-48e4-b5bf-fb57281a12fb" confidence="300">Valencia, Esteban Jesus</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-10-29T16:21:03Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2021-10-29T16:21:03Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2021-10-29</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2021</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="other">Valencia_washington_0250O_23506.pdf</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1773/48028</dim:field>
   <dim:field mdschema="dc" element="description">Thesis (Master's)--University of Washington, 2021</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">Background: Domestic violence perpetrated by law enforcement is an understudied public health issue. Previous studies examining the prevalence domestic violence by law enforcement primarily rely on convenience sampling and self-reported measures, producing unreliable estimates. Homicide-suicide events, as a subset of domestic violence offenses, present a unique opportunity for study given the data collection practices of existing public health surveillance infrastructure. The present study contributes to the literature by using population-based data and vital statistics to estimate a single subset of domestic violence offenses: homicide-suicide perpetration. Methods: We joined homicide-suicide perpetration data from the National Violent Death Reporting System (NVDRS) with population data from the American Community Survey for the years 2003 – 2017, analyzing the joined data as a multiple-frame sample. Our exposure of interest was occupation type, classified as employment in (a) law enforcement, (b) military occupations, (c) other life-threateningly dangerous or traumatic occupations. Our unexposed reference group was persons in all other general occupations. To address issues of exposure misclassification, we applied conservative and anti-conservative classification methods. Our outcome of interest was perpetration of single-suspect homicide-suicide. Primary analyses used robust Poisson regression to calculate incidence ratios and 95% confidence intervals. Secondary analyses described years-of-life-lost (YLLs) to homicide victimization by homicide-suicide perpetrators, stratified by perpetrator occupation. Results: Compared to the incidence of homicide-suicide perpetration among persons employed in all other general occupations, law enforcement (aIRR = 1.6; 95% CI: 1.2 – 2.1), military personnel (aIRR = 3.7, 95% CI: 2.7 – 5.0), and persons employed other life-threateningly dangerous or traumatic occupations (aIRR = 2.9, 95% CI: 2.1 – 4.0) were at an elevated risk for homicide-suicide perpetration when exposure was classified conservatively. Using anti-conservative exposure classification yielded higher point estimates with largely overlapping confidence intervals. Altogether, homicide-suicide perpetrators from law enforcement, military, and other life-threateningly dangerous occupations were responsible for approximately 6 – 7% of the total homicide-suicide victim count and 6 – 7% of the total victim YLLs. Conclusions: Law enforcement officers commit homicide-suicide at a higher rate than the generally employed population, as do military personnel and persons employed in other life-threateningly dangerous or traumatic occupations. NVDRS and ACS data can be joined and analyzed as a multiple-frame sample for the study of rare health outcomes.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="mimetype">application/pdf</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso">en_US</dim:field>
   <dim:field mdschema="dc" element="rights">CC BY</dim:field>
   <dim:field mdschema="dc" element="subject">Homicide-suicide</dim:field>
   <dim:field mdschema="dc" element="subject">Law enforcement</dim:field>
   <dim:field mdschema="dc" element="subject">Multiple-frame sampling</dim:field>
   <dim:field mdschema="dc" element="subject">Occupational-spillover</dim:field>
   <dim:field mdschema="dc" element="subject">Officer-involved domestic violence</dim:field>
   <dim:field mdschema="dc" element="subject">Public health</dim:field>
   <dim:field mdschema="dc" element="subject">Epidemiology</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="other">Epidemiology</dim:field>
   <dim:field mdschema="dc" element="title">Examining the scope of homicide-suicide perpetrated by law enforcement: A population-based retrospective study using multiple frames, 2003 - 2017</dim:field>
   <dim:field mdschema="dc" element="type">Thesis</dim:field>
   <dim:field mdschema="dc" element="embargo" qualifier="terms">Open Access</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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