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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.

Spatial de-concentration of firearm violence in Boston

It is a “law” of criminology that urban crime chronically recurs at the same microplaces (i.e., street segments and intersections). An influential study found high concentrations of firearm violence at micropl…

Advances in data linkage and science for IP research

The recent COVID-19 pandemic stimulated unprecedented linkage of datasets worldwide, and while injury is endemic rather than pandemic, there is much to be learned by the injury prevention community from the data science approaches taken to respond to the pandemic to support research into the primary, secondary and tertiary prevention of injuries. The use of routinely collected data to produce real-world evidence, as an alternative to clinical trials, has been gaining in popularity as the availability and quality of digital health platforms grow and the linkage landscape, and the analytics required to make best use of linked and unstructured data, is rapidly evolving. Capitalising on existing data sources, innovative linkage and advanced analytic approaches provides the opportunity to undertake novel injury prevention research and generate new knowledge, while avoiding data waste and additional burden to participants. We provide a tangible, but not exhaustive, list of examples showing the breadth and value of data linkage, along with the emerging capabilities of natural language processing techniques to enhance injury research. To optimise data science approaches to injury prevention, injury researchers in this area need to share methods, code, models and tools to improve consistence and efficiencies in this field. Increased collaboration between injury prevention researchers and data scientists working on population data linkage systems has much to offer this field of research.

Harms and Benefits Inventory (HBI): validation of assessment

Introduction

Understanding gun owners’ perceptions of potential firearm policies’ harms and benefits is critical to successful policy development and implementation. We used national survey data to develop and validate a novel instrument, the Harms and Benefits Inventory (HBI), for policy-makers and advocates to better consider the citizen perspective.

Method

We conducted a nationally representative survey of American gun owners and non-owners (N=2007) using the Social Science Research Solutions probability panel. The survey included 31 candidate HBI items and questions about gun ownership and exposure, storage and carry behaviours, policy positions, and sociodemographic characteristics. Exploratory factor analyses (EFAs) were conducted on HBI items from a randomly selected subsample (N=1003) and then tested with a confirmatory factor analysis (CFA) on data from the second half of the sample (N=1004).

Results

The best-fitting EFA model was upheld in the CFA and included 21 items with 5 underlying factors. Underlying factors included: (1) firearm regulation, cost and accessibility, (2) special restrictions, (3) permit and education, (4) relaxed restrictions and (5) and hobby and sport. Internal consistency was good to excellent within each of the five scales. Validity was supported by correlations between HBI scales and survey questions.

Discussion

Findings support the validity of the HBI in assessing perceptions of potential harms and benefits of firearm policies and practices. Understanding perceptions of potential harms and benefits of gun policies at the time of development or implementation can improve uptake and reduce unintended consequences of these policies.

Saving Lives by Regulating Guns: Evidence for Policy

Gun violence is a leading cause of death in the United States, where over 36,000 people were killed by gunshot in 2015 [including homicide, suicide, and accident (1)]. The gun-murder rate is 25 times as high in the United States as in other high-income nations, and the gun-suicide rate is eight times as high (2). Interpersonal gun violence has deleterious effects on economic development and standard of living in heavily impacted neighborhoods (3). Given this heavy burden, it is greatly concerning that many aspects of the body of research on gun violence have been deemed inadequate and inconclusive by expert panels of the U.S. Centers for Disease Control and Prevention (CDC) and of the National Academies of Sciences, Engineering, and Medicine (4–6). Fortunately, the flow of high-quality research has increased in recent years. Although the CDC largely withdrew from funding research on gun violence more than 20 years ago (under intense congressional pressure), there are active research programs in medicine, public health, law, and the social sciences under way in universities and think tanks. This good news, often lost in the well-justified complaints about the lack of federal funding, deserves greater recognition. New findings are providing a sound evidence base for policy-making and, among other contributions, have helped demonstrate efficacy in three important domains of gun policy: add-on sentences for gun use in violent crime, bans on gun possession by those convicted of domestic violence, and restrictions on carrying concealed firearms in public.

Comprehensive Firearms Tracing: Strategic and Investigative Uses of New Data on Firearms Markets

In 1999, more than 150,000 firearms were submitted by law enforcement agencies for tracing by the ATF, three times as many as in 1993. This growth in trace requests indicates the successes of ATF’s program in persuading state and local agencies of the strategic value of comprehensive firearms tracing. About four dozen cities now submit all firearms confiscated by the police for tracing, and the growing database of trace results has provided the raw material for improved intelligence on the channels by which guns are acquired by criminals. However, the proper interpretation and use of these data remains controversial.