Preventive medicine
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Preventive medicine · Dec 2022
How Americans encounter guns: Mixed methods content analysis of YouTube and internet search data.
Firearm-related injury and death is a serious public health issue in the U. S. As more Americans consume news and media online, there is growing interest in using these channels to prevent firearm-related harms. ⋯ The vast majority of searches were related to mass shootings or police-involved shootings (e.g., "active shooter"), and virtually none were about more common firearm harm such as suicide. Searches for firearm safety information were most common among panelists affiliated with the "Hunting & Fishing" and "Guns & Gear" ecosystems, which were watched primarily by older, white men. These findings identify an opportunity for analyzing firearm-related narratives and tailoring firearm safety messaging for users affiliated with specific online content ecosystems.
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States with more gun laws have fewer gun assaults, and associations are strongest for background check laws. However, sales between private buyers and sellers (i.e., gun shows) are exempt from some background check requirements according to federal and most state laws. The aim of this study was to determine whether gun shows are more likely to take place in counties that are near states with universal background check laws. ⋯ Bayesian conditional autoregressive Poisson models estimated associations between neighboring-state universal background check law and the presence of a gun show in each county while accounting for spatial dependencies and nesting of counties within states. Of the 1869 identified gun shows, nine of the states in which they occurred had a universal background check law. The presence of excess gun shows in counties near states with universal background check laws is consistent with the hypothesis that gun shows service demand from people seeking to circumvent prohibitions against gun purchases.
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Preventive medicine · Dec 2022
Understanding factors associated with firearm possession: Examining differences between male and female adolescents and emerging adults seeking emergency department care.
Firearm possession increases the likelihood of hospital visits among adolescents and emerging adults for both males and females. To better inform prevention practices, we examine data among adolescents and emerging adults (A/EAs; ages 16 to 29) presenting to an urban emergency department for any reason to understand the differences in firearm possession between males and females (N = 1312; 29.6% male; 50.5% Black). Regression identified firearm possession correlates, such as male sex (AOR = 2.26), firearm attitudes (AOR = 1.23), peer firearm possession (AOR = 9.84), and community violence exposure (AOR = 1.02). ⋯ An interaction between sex and firearm attitudes demonstrated that firearm attitudes were differentially associated with firearm possession between female and male A/EAs (AOR = 1.28). Overall, we found that females are more likely to endorse retaliatory firearm attitudes, and both males and females are highly influenced by their perception of peer firearm possession. These results help inform prevention strategies across multiple settings, especially for hospital-based violence interventions, and suggest that tailored approaches addressing differences between male and female A/EAs are appropriate when addressing firearm violence and injury risk among A/EAs.
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Preventive medicine · Dec 2022
Reprint of "Using multiple imputation by super learning to assign intent to nonfatal firearm injuries".
The number of nonfatal firearm injuries in the US by intent (e.g., due to assault) is not reliably known: First, although the largest surveillance system for hospital-treated events, the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample (HCUP-NEDS), provides accurate data for the number of nonfatal firearm injuries, injury intent is not coded reliably. Second, the system that reliably codes intent, the CDC's National Electronic Injury Surveillance System - Firearm Injury Surveillance Study (NEISS-FISS), while large enough to produce stable estimates of the distribution of intent, is too small to produce stable estimates of the number of these events. Third, a large proportion of cases in NEISS-FISS, notably in early years of the system, are coded as of "undetermined intent." Trends in the proportion of nonfatal firearm injuries by intent in NEISS-FISS thus depend on whether these cases are treated as a distinct category, or, instead, can be re-classified through imputation. ⋯ Trends in the number of nonfatal firearm injuries by intent, 2006-2016, derived in our two-step process, are relatively flat. Multiple imputation strategies recovered intent distribution trends that differed from trends derived using methods that are not designed to account for the multiple complex relationships of missingness present in NEISS - FISS data. When applied to NEISS - FISS, MISL imputation produces plausible distributional estimates of firearm injury by intent.
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Preventive medicine · Dec 2022
Economic analysis of financial incentives for smoking cessation during pregnancy and postpartum.
Higgins and colleagues' recently-completed randomized controlled trial and pooled data with 4 related trials of smoking cessation in pregnant women in Vermont (USA) showed that abstinence-contingent financial incentives (FI) increased abstinence over control conditions from early pregnancy through 24-weeks postpartum. Control conditions were best practices (BP) alone in the recent trial and payments provided independent of smoking status (noncontingently) in the others. This paper reports economic analyses of abstinence-contingent FI. ⋯ Each dollar invested in abstinence-contingent FI over control smoking-cessation programs yielded $4.20 in economic benefits in the recent trial and $11.90 in the pooled trials (very favorable benefit-cost ratios). Medicaid and commercial insurers may wish to consider covering financial incentives for smoking abstinence as a cost-effective service for pregnant beneficiaries who smoke. Trial Registration: ClinicalTrials.gov identifier: NCT02210832.