Longitudinal Associations Between Healthcare Resources, Policy, and Firearm-Related Suicide and Homicide from 2012 to 2016

• DOI: 10.1007/s11606-019-05613-3
• Publication Date: 2020-02-03T14:59:29Z
• Authors: Kristen R. Choi; Altaf Saadi; Sae Takada; Molly C. Easterlin; Liza S. Buchbinder; David C. Johnson; Frederick J. Zimm...
• Keywords: Suicide Prevention; Firearms; Clinical Sciences; Violence; Basic Behavioral and Social Science; Substance Misuse; Alcohol Use and Health; 03 medical and health sciences; 0302 clinical medicine; Clinical Research; General & Internal Medicine; Behavioral and Social Science; Humans; 360; Violence Research; Peace; Prevention; Gunshot; 1. No poverty; Health Services; 16. Peace & justice; Justice and Strong Institutions; United States; 3. Good health; Alcoholism; Suicide; Mental Health; Wounds; Wounds, Gunshot; Homicide; Delivery of Health Care

Firearm-related violence is a leading cause of mortality in the United States (US). Prior research suggests that public policy plays a role in firearm mortality, but the role of healthcare resources (physicians, insurance coverage) within the US policy context has not yet been studied.To examine how healthcare resources and social/firearm policy affect firearm-related suicide and homicide rates in the US.Longitudinal, ecological study.US.US states from 2012 to 2016 (N = 242).The outcome variables were age-adjusted, firearm-related suicide and homicide rates. Predictor variables were healthcare resources (physicians, Medicaid benefits generosity) and policy context (social policy, firearm policy) with covariates for sociodemographic factors.Healthcare provider variables did not have significant associations to firearm-related suicide or homicide. In fully saturated models, more worker protection laws, greater average population density, more alcohol regulation, and more firearm prohibition policies were associated with fewer firearm-related suicides. Higher generosity of Medicaid benefits was associated with fewer firearm-related homicides. Poverty rate was a predictor of both outcomes.This state-level study cannot make individual-level inferences. Only proxy variables were available for measuring gun ownership and actual gun ownership rates may not have been ideally captured at the state level.At the state level, there are protective associations of certain social, healthcare, and firearm policies to firearm-related suicide and homicide rates. Healthcare resources play a role in population-level firearm outcomes but alone are not sufficient to decrease firearm-related homicide or suicide.