TY - JOUR PY - 2022// TI - How combinations of state firearm laws link to low firearm suicide and homicide rates: a configurational analysis JO - Preventive medicine A1 - Rich, John A. A1 - Miech, Edward J. A1 - Semenza, Daniel C. A1 - Corbin, Theodore J. SP - ePub EP - ePub VL - ePub IS - ePub N2 - Firearm violence, including both homicide and suicide, is a major public health problem in the US (United States). To decrease firearm mortality, US states have implemented laws to restrict firearm availability. We evaluated ten state firearm laws using configurational comparative methods (CCMs) designed to uncover how multiple factors are linked to a given outcome. We applied coincidence analysis, a novel CCM, to ten firearm laws in US states in 2016, to assess how different combinations of firearm laws distinguished states with low firearm homicide or suicide rates from those states with higher rates. The suicide analysis included all 50 US states; the homicide analysis involved the 47 US states with homicide rates reported by the Center for Disease Control and Prevention (CDC) in 2016. For low firearm suicide rates, we identified three solution pathways - the presence of universal background checks OR the presence of under 21 firearm possession restrictions OR the presence of junk gun bans - which were sufficient for low firearm suicide rates with high consistency (0.87) and coverage (0.76). For low firearm homicide rates, we identified three solution pathways - presence of under 21 firearm possession restrictions OR the presence of universal background checks together with the absence of trafficking prohibited laws OR membership in the Northern Great Plains - which were sufficient for low firearm homicide rates with high consistency (0.87) and coverage (0.81). We conclude that CCM analysis can add new insights to how multiple firearm laws work together to reduce firearm violence. Keywords Firearm laws Homicide Suicide Injury Configurational comparative methods Coincidence analysis Qualitative research Download full text in PDF Data availability © 2022 The Authors. Published by Elsevier Inc.
Language: en
LA - en SN - 0091-7435 UR - http://dx.doi.org/10.1016/j.ypmed.2022.107262 ID - ref1 ER -