Systematic Review of Per Person Violence Costs.

INTRODUCTION: Data on the long-term and comprehensive cost of violence are essential for informed decision making regarding the future benefits of resources directed toward violence prevention. This review aimed to summarize original per-person estimates of the attributable cost of interpersonal violence to support public health economic research and decision making. METHODS: In 2023, English-language peer-reviewed journal articles published in 2000-2022 with a focus on high-income countries reporting original per-person average cost of violence estimates were identified using index terms in multiple databases. Study contents, including violence type (e.g., adverse childhood experiences), timeline and payer cost perspective (e.g., hospitalization event-only healthcare payer cost), and associated per-person cost estimates, were summarized. Costs were in 2022 U.S. dollars. RESULTS: Per-person cost estimates related to adverse childhood experiences, community violence, sexual violence, intimate partner violence, homicide, firearm violence, youth violence, workplace violence, and bullying from 73 studies (majority focusing on the U.S.) were summarized. For example, among 23 studies with a focus on adverse childhood experiences, monetary estimates ranged from $390 for adverse childhood experience-related annual healthcare out-of-pocket costs per U.S. adult with ≥3 adverse childhood experiences to $20.2 million for the lifetime societal economic burden of a U.S. child maltreatment fatality. CONCLUSIONS: This review provides a descriptive summary of available per-person cost of violence estimates. Results can help public health professionals to describe the economic burden of violence, identify the best available estimate for a particular public health question, and address data gaps. Ultimately, understanding the long-term and comprehensive cost of violence is necessary to anticipate the economic benefits of prevention.

Costs of Implementing Teen Dating Violence and Youth Violence Prevention Strategies: Evidence From 5 CDC-Funded Local Health Departments.

OBJECTIVES: In 2016, the Centers for Disease Control and Prevention supported 5 local health departments (LHDs) to implement teen dating violence and youth violence primary prevention strategies across multiple levels of the social-ecological model and build capacity for the expansion of such prevention efforts at the local level. The objective of this study was to estimate the total cost of implementing primary prevention strategies for all LHDs across 3 years of program implementation. METHODS: We used a microcosting analytic approach to identify resources and compute costs for all prevention strategies implemented by LHDs. We computed the total program cost, total and average cost per strategy by social-ecological model level, and average cost of implementation per participant served by the program. All costs were inflated via the monthly Consumer Price Index and reported in August 2020 dollars. RESULTS: For 3 years of program implementation, the total estimated cost of implementing teen dating violence and youth violence primary prevention strategies was >$7.1 million across all 5 LHDs. The largest shares of program-related costs were program staff (55.9%-57.0%) and contracts (22.4%-25.5%). Among prevention strategies, the largest share of total costs was for strategies implemented at the community level of the social-ecological model (42.8%). CONCLUSIONS: The findings from this analysis provide a first look at the total costs of implementing comprehensive teen dating violence and youth violence primary prevention strategies and serve as a foundation for investments in local violence prevention funding for young people.

Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art.

Suicide is a leading cause of death and a global public health problem, representing more than one in every 100 deaths in 2019. Modeling and Simulation (M&S) is widely used to address public health problems, and numerous simulation models have investigated the complex, dependent, and dynamic risk factors contributing to suicide. However, no review has been dedicated to these models, which prevents modelers from effectively learning from each other and raises the risk of redundant efforts. To guide the development of future models, in this paper we perform the first scoping review of simulation models for suicide prevention. Examining ten articles, we focus on three practical questions. First, which interventions are supported by previous models? We found that four groups of models collectively support 53 interventions. We examined these interventions through the lens of global recommendations for suicide prevention, highlighting future areas for model development. Second, what are the obstacles preventing model application? We noted the absence of cost effectiveness in all models reviewed, meaning that certain simulated interventions may be infeasible. Moreover, we found that most models do not account for different effects of suicide prevention interventions across demographic groups. Third, how much confidence can we place in the models? We evaluated models according to four best practices for simulation, leading to nuanced findings that, despite their current limitations, the current simulation models are powerful tools for understanding the complexity of suicide and evaluating suicide prevention interventions.

A systems science approach to identifying data gaps in national data sources on adolescent suicidal ideation and suicide attempt in the United States.

BACKGROUND: Suicide is currently the second leading cause of death among adolescents ages 10-14, and third leading cause of death among adolescents ages 15-19 in the United States (U.S). Although we have numerous U.S. based surveillance systems and survey data sources, the coverage offered by these data with regard to the complexity of youth suicide had yet to be examined. The recent release of a comprehensive systems map for adolescent suicide provides an opportunity to contrast the content of surveillance systems and surveys with the mechanisms listed in the map. OBJECTIVE: To inform existing data collection efforts and advance future research on the risk and protective factors relevant to adolescent suicide. METHODS: We examined data from U.S. based surveillance systems and nationally-representative surveys that included (1) observations for an adolescent population and (2) questions or indicators in the data that identified suicidal ideation or suicide attempt. Using thematic analysis, we evaluated the codebooks and data dictionaries for each source to match questions or indicators to suicide-related risk and protective factors identified through a recently published suicide systems map. We used descriptive analysis to summarize where data were available or missing and categorized data gaps by social-ecological level. RESULTS: Approximately 1-of-5 of the suicide-related risk and protective factors identified in the systems map had no supporting data, in any of the considered data sources. All sources cover less than half the factors, except the Adolescent Brain Cognitive Development Study (ABCD), which covers nearly 70% of factors. CONCLUSIONS: Examining gaps in suicide research can help focus future data collection efforts in suicide prevention. Our analysis precisely identified where data is missing and also revealed that missing data affects some aspects of suicide research (e.g., distal factors at the community and societal level) more than others (e.g., proximal factors about individual characteristics). In sum, our analysis highlights limitations in current suicide-related data availability and provides new opportunities to identify and expand current data collection efforts.

WISQARS Cost of Injury for public health research and practice.

AIM: Since 2011 the Centers for Disease Control and Prevention's Web-based Injury Statistics Query and Reporting System (WISQARS) has demonstrated per-injury average and population total medical and non-medical costs of injuries by type (such as unintentional cut/pierce) in the USA. This article describes the impact of data and methods changes in the newest version of WISQARS Cost of Injury. METHODS: Data sources and methods were compared for the legacy version of the WISQARS Cost of Injury website (available 2011-2021; most recent prior update was published in 2014 with 2010 injury incidence and costs) and the new version (published 2021; 2015-present injury incidence and costs). Cost data sources were updated for the new website and the basis for medical costs and non-fatal injury work loss costs changed from mathematical modelling (combined estimates from multiple data sources) in the legacy website to statistical modelling of actual injury-related medical and work loss financial transactions in the new website. Monetary valuation of non-medical costs for injury deaths changed from lost employment income and household work in the legacy website to value of statistical life. Quality of life loss costs were added for non-fatal injuries. Per-injury average medical and non-medical costs by injury type (mechanism and intent) and total population injury costs were compared for years 2010 (legacy website data) and 2020 (new website data) to illustrate the impact of data and methods changes on reported costs in the context of changed annual injury incidence. RESULTS: Owing to more comprehensive cost capture yielding higher per-injury average costs for most injury types-including those with high incidence in 2020 such as unintentional poisoning and unintentional falls-reported total US medical and non-medical injury costs were substantially higher in 2020 (US$4.6 trillion) compared with 2010 (US$693 billion) (both 2020 USD). CONCLUSIONS AND RELEVANCE: New data and methods increased the injury costs reported in WISQARS Cost of Injury. Researchers and public health professionals can use this information to proficiently communicate the burden of injuries and violence in terms of economic cost.

Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping.

Suicide is the second leading cause of death among youth ages 10-19 in the USA. While suicide has long been recognized as a multifactorial issue, there is limited understanding regarding the complexities linking adverse childhood experiences (ACEs) to suicide ideation, attempt, and fatality among youth. In this paper, we develop a map of these complex linkages to provide a decision support tool regarding key issues in policymaking and intervention design, such as identifying multiple feedback loops (e.g., involving intergenerational effects) or comprehensively examining the rippling effects of an intervention. We use the methodology of systems mapping to structure the complex interrelationships of suicide and ACEs based on the perceptions of fifteen subject matter experts. Specifically, systems mapping allows us to gain insight into the feedback loops and potential emergent properties of ACEs and youth suicide. We describe our methodology and the results of fifteen one-on-one interviews, which are transformed into individual maps that are then aggregated and simplified to produce our final causal map. Our map is the largest to date on ACEs and suicide among youth, totaling 361 concepts and 946 interrelationships. Using a previously developed open-source software to navigate the map, we are able to explore how trauma may be perpetuated through familial, social, and historical concepts. In particular, we identify connections and pathways between ACEs and youth suicide that have not been identified in prior research, and which are of particular interest for youth suicide prevention efforts.

Modeling the Transmission of COVID-19: Impact of Mitigation Strategies in Prekindergarten-Grade 12 Public Schools, United States, 2021.

BACKGROUND: Schools are an integral part of the community; however, congregate settings facilitate transmission of SARS-CoV-2, presenting a challenge to school administrators to provide a safe, in-school environment for students and staff. METHODS: We adapted the Centers for Disease Control and Prevention's COVIDTracer Advanced tool to model the transmission of SARS-CoV-2 in a school of 596 individuals. We estimate possible reductions in cases and hospitalizations among this population using a scenario-based analysis that accounts for (a) the risk of importation of infection from the community; (b) adherence to key Centers for Disease Control and Prevention-recommended mitigation strategies: mask wearing, cleaning and disinfection, hand hygiene, and social distancing; and (c) the effectiveness of contact tracing interventions at limiting onward transmission. RESULTS: Low impact and effectiveness of mitigation strategies (net effectiveness: 27%) result in approximately 40% of exposed staff and students becoming COVID-19 cases. When the net effectiveness of mitigation strategies was 69% or greater, in-school transmission was mostly prevented, yet importation of cases from the surrounding community could result in nearly 20% of the school's population becoming infected within 180 days. The combined effects of mitigation strategies and contact tracing were able to prevent most onward transmission. Hospitalizations were low among children and adults (<0.5% of the school population) across all scenarios examined. CONCLUSIONS: Based on our model, layering mitigation strategies and contact tracing can limit the number of cases that may occur from transmission in schools. Schools in communities with substantial levels of community spread will need to be more vigilant to ensure adherence of mitigation strategies to minimize transmission. Our results show that for school administrators, teachers, and parents to provide the safest environment, it is important to utilize multiple mitigation strategies and contract tracing that reduce SARS CoV-2 transmission by at least 69%. This will require training, reinforcement, and vigilance to ensure that the highest level of adherence is maintained over the entire school term.

Reported History of Traumatic Brain Injury Among Suicide Decedents: National Violent Death Reporting System, 2003-2017.

INTRODUCTION: Traumatic brain injury is a major cause of death and disability in the U.S., and research shows that individuals who suffer traumatic brain injury have an increased risk for suicide. This study examines the characteristics of suicide decedents with a documented traumatic brain injury history using a database containing circumstantial data on suicides and examines the differences in traumatic brain injury‒ and nontraumatic brain injury‒related suicides within the general population and within individuals with a history of military service. METHODS: Logistic regression models estimated AORs and 95% CIs of suicide among those with and without a previous traumatic brain injury using data from the 2003-2017 National Violent Death Reporting System (analyzed in 2020). RESULTS: From 2003 to 2017, a total of 203,157 suicide decedents were identified, and 993 had a documented traumatic brain injury before suicide. Among those with a documented traumatic brain injury, a higher percentage were White non-Hispanic. Firearm injuries were the most common method of suicide for both groups. Poisoning was more common among decedents with a previous traumatic brain injury than among those without. Male individuals, those who were single, and those who served in the military were 1.4 times more likely to have a documented traumatic brain injury history before the suicide. Almost 1 in 5 suicides (18.9%) documenting traumatic brain injury occurred among individuals with a history of military service. CONCLUSIONS: Comprehensive suicide prevention approaches are imperative. Healthcare providers can play a role in assessing and identifying patients at increased risk of suicide, including those who have experienced falls or injuries that often result in traumatic brain injury, and provide tailored interventions or referrals.

Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science.

Suicide rates are steadily increasing among youth in the USA. Although several theories and frameworks of suicide have been developed, they do not account for some of the features that define suicide as a complex problem, such as a large number of interrelationships and cycles. In this paper, we create the first c omprehensive m ap o f a dverse c hildhood experiences (ACEs) and suicide for youth, by combining a participatory approach (involving 15 subject-matter experts) and network science. This results in a map of 946 edges and 361 concepts, in which we identify ACEs to be the most important factor (per degree centrality). The map is openly shared with the community to support further network analyses (e.g., decomposition into clusters). Similarly to the high-impact Foresight Map developed in the context of obesity, the largest map on suicide and ACEs to date presented in this paper can start a discussion at the crossroad of suicide research and network science, thus bringing new means to address a complex public health challenge.

Estimated Resource Costs for Implementation of CDC's Recommended COVID-19 Mitigation Strategies in Pre-Kindergarten through Grade 12 Public Schools - United States, 2020-21 School Year.

As school districts across the United States consider how to safely operate during the 2020-21 academic year, CDC recommends mitigation strategies that schools can adopt to reduce the risk for transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (1). To identify the resources and costs needed to implement school-based mitigation strategies and provide schools and jurisdictions with information to aid resource allocation, a microcosting methodology was employed to estimate costs in three categories: materials and consumables, additional custodial staff members, and potential additional transportation. National average estimates, using the national pre-kindergarten through grade 12 (preK-12) public enrollment of 50,685,567 students, range between a mean of $55 (materials and consumables only) to $442 (all three categories) per student. State-by-state estimates of additional funds needed as a percentage of fiscal year 2018 student expenditures (2) range from an additional 0.3% (materials and consumables only) to 7.1% (all three categories); however, only seven states had a maximum estimate above 4.2%. These estimates, although not exhaustive, highlight the level of resources needed to ensure that schools reopen and remain open in the safest possible manner and offer administrators at schools and school districts and other decision-makers the cost information necessary to budget and prioritize school resources during the COVID-19 pandemic.

Social and Physical Environmental Characteristics Associated With Adult Current Cigarette Smoking.

INTRODUCTION: Our objective was to identify social and physical environmental factors associated with current cigarette smoking among adults by metropolitan county in the United States. METHODS: We linked cigarette smoking data from the 2012 Behavioral Risk Factor Surveillance System (BRFSS) Selected Metropolitan Area Risk Trends (SMART) data set to 7 social and physical environmental characteristics: county type (metropolitan designation), primary care physician density, income inequality, percentage of the population that was a racial/ethnic minority, violent crime rate, education, and percentage of county residents with low income and no health insurance, all obtained from several county data sets. Spatial regression and hierarchical logistic regression modeling were performed. RESULTS: Results showed that metropolitan counties with a high proportion of non-Hispanic white adults (P < .001), lower education levels (high school graduate or less) (P < .001), and high violent crime rates (P < .001) had a higher adult cigarette smoking prevalence than other metropolitan counties. Spatial models showed 63.3% of the variability in county cigarette smoking prevalence was explained by these 3 factors as well as county type (based on population size of the of metropolitan area), primary care physician density, and percentage of county residents with low income and no health insurance. At an individual level, results showed that as the density (population) of primary care physicians increased in a county, the odds of being a current smoker decreased (OR, 0.980; P = .02). CONCLUSION: We found a significant association between adult cigarette smoking and county social and physical environmental factors. These place-based factors, especially social environmental characteristics, may reveal tobacco-related disparities to be considered when developing strategies to reduce tobacco use.