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Firearm businesses as partners in suicide prevention: a cross-sectional study of the Gun Shop Project in Colorado, USA

Background

The Gun Shop Project aims to reduce firearm suicide and is widely implemented in the USA, yet little is known about the core firearm business practices and behaviours that might contribute to preventing firearm suicide.

Methods

Owners or managers of all firearm businesses identified as participants in Colorado’s Gun Shop Project were invited to respond to a questionnaire. Data collection occurred from March to May 2021. Analyses included unweighted descriptive statistics with CIs and Pearson 2 tests for categorical associations.

Results

54 firearm businesses participated (response rate: 28%). Under half reported practices that are Gun Shop Project core aspects (range: 14%–45%). 22% of businesses frequently engaged customers on the importance of safe firearm storage in suicide prevention while 26% had denied a firearm sale and 14% had assisted with temporary secure storage in the past year with customers perceived to be in suicidal crisis. However, high proportions reported willingness to engage in these behaviours if a customer was in crisis: 74% were willing to refuse a sale of a firearm or ammunition, 70% were willing to discuss temporary secure storage options and 70% were willing to direct customers to mental health services.

Conclusions

This study suggests that efforts to continue educating and involving firearm businesses may have an impact on the adoption of organisational suicide prevention practices and behaviours. Ongoing efforts are needed to understand core components of Gun Shop Project to inform standardised recommendations for effective firearm business practices that prevent firearm suicide.

Prediction of the mechanism of suicide among Minnesota residents using data from the Minnesota violent death reporting system (MNVDRS)

Background

Suicide remains a major public health problem, and firearms are used in approximately half of all such incidents. This study sought to predict the occurrence of suicide specifically by firearm, as opposed to any other means of suicide, in order to help inform possible life-saving interventions.

Methods

This study involved data from the Minnesota Violent Death Reporting System. Models evaluated whether data beyond basic demographics generated increased prediction accuracy. Models were built using random forests, logistic regression and data imputation. Models were evaluated for prediction accuracy using the area under the curve analysis and for proper calibration.

Results

Results showed that models constructed with social determinants and personal history data led to increased prediction accuracy in comparison to models constructed with basic demographic information only. The study identified an optimised ‘top 20’ variables model with a 73% chance of correctly discerning relative incident risk for a pair of individuals. Age, height/weight, employment industry/occupation, sex and education level were found to be most highly predictive of firearm suicide in the study’s ‘top 20’ model.

Conclusions

The study demonstrated that the use of a firearm in a death by suicide, as opposed to any other means of suicide, can be reasonably well predicted when an individual’s social determinants and personal history are considered. These predictive models could help inform many prevention strategies, such as safe storage practices, background checks for firearm purchases or red flag laws.

Employment and Earnings of Men at High Risk of Gun Violence

Since Becker (1968), economists have modeled crime as resulting from higher returns to criminal activity than legal work. Yet contemporary employment data for people engaged in crime is scarce. We surveyed men at extreme risk of gun violence in Chicago about their work in the formal, informal, and criminal sectors. Noncriminal work is common. Two-thirds of respondents specialize solely in the criminal or noncriminal sectors, both earning about minimum wage at the median. Those who mix across sectors typically earn higher wages. We describe workers by type to demonstrate how better understanding sectoral specialization could inform program design.