Rates of fall injuries across three claims databases, 2019.

INTRODUCTION: In 2021, among all age groups, falls ranked as the third leading cause of unintentional injury death in the USA. Unlike fatal data, which rely on death certificates as the gold standard, there is not a gold standard for non-fatal data. Non-fatal falls data are often based on insurance claims or administrative billing data. The purpose of our study is to compare three claims databases to estimate rates of unintentional fall-related hospitalisations in 2019, the most recent year of available data across the three sources. METHODS: Three databases were used to produce incidence rates of fall-related hospitalisations for the year 2019: (1) Merative MarketScan research databases, (2) Centers for Medicare and Medicaid Services (CMS) data and (3) Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample. Inpatient falls were identified using International Classification of Diseases, 10th Revision, Clinical Modification codes. Incidence rates per 100 000 people were then produced across all three datasets by payer type. Unadjusted incidence rate ratios were estimated with corresponding 95% CIs. RESULTS: There were wide disparities among fall rates between the three datasets by payer type. HCUP had the highest rate of falls among Medicare (1087.6 per 100 000) and commercial enrollees (74.7 per 100 000), while CMS had the highest rates of falls among Medicaid enrollees (148.0 per 100 000). CONCLUSIONS: This study shows wide variation in fall hospitalisation rates based on the claims data used to estimate rates. This study suggests that database selection is an important consideration when determining incidence of non-fatal falls.

Association between social vulnerability factors and homicide and suicide rates - United States, 2016 - 2020.

BACKGROUND: Differences in social and environmental factors contribute to disparities in fatal injury rates. This study assessed the relationship between social vulnerability and homicide and suicide rates across United States counties. METHODS: County-level age-adjusted homicide and suicide rates for 2016-2020 were linked with data from the Centers for Disease Control and Prevention's 2020 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted negative binomial regressions to examine the association between SVI and homicide and suicide rates, overall and by Census region/division. We mapped county-level data for SVI and homicide and suicide rates in bivariate choropleth maps. RESULTS: Overall SVI was associated with homicide rates across U.S. counties. While no association was found for overall SVI and suicide rates, Socioeconomic Status and Racial & Ethnic Minority Status domains were associated. The geographic distribution of SVI and homicide and suicide rates varied spatially; notably, counties in the South had the greatest levels of social vulnerability and greatest homicide rates. CONCLUSIONS: Our findings demonstrate county-level social vulnerability is associated with homicide rates but may be more nuanced for suicide rates. A modified SVI for injury should include additional social and structural determinants and exclude variables not applicable to injuries. PRACTICAL APPLICATIONS: This study combines the SVI with homicide and suicide data, enabling researchers to examine related social and environmental factors. Modifying the SVI to include relevant predictors could improve injury prevention strategies by prioritizing efforts in areas with high social vulnerability.

Association between state minimum wage and firearm suicides in the USA, 2000-2020.

BACKGROUND: Firearm suicides constitute a major public health issue. Policies that enhance economic security and decrease community-level poverty may be effective strategies for reducing risk of firearm suicide. This study examined the association between state minimum wage and firearm suicide. METHODS: State minimum wage, obtained from Temple's Law Atlas and augmented by legal research, was conceptualised using the modified Kaitz Index and a continuous variable centred on the federal minimum wage. State-level suicide counts were obtained from 2000 to 2020 multiple-cause-of-death mortality data from the National Vital Statistics System. Log-linear regressions were conducted to model the associations between state minimum wage and firearm suicides, stratifying by demographic groups. Analyses were conducted in 2023. RESULTS: A one percentage point increase in a state's modified Kaitz Index was associated with a 0.3% (95% CI -0.6% to -0.0%) decrease in firearm suicides within a state. A US$1.00 increase in a state's minimum wage above the federal minimum wage was associated with a 1.4% (95% CI -2.1% to -0.6%) decrease in firearm suicides. When stratified by quartile of firearm ownership, the modified Kaitz Index was associated with decreases in firearm suicides most consistently in the two lowest quartiles. CONCLUSION: Increasing a state's minimum wage may be a policy option to consider as part of a comprehensive approach to reducing firearm suicides. These findings expand the evidence base for how economic policies may be leveraged to reduce firearm suicides.

Healthcare spending for non-fatal falls among older adults, USA.

BACKGROUND: The older adult (65+) population in the USA is increasing and with it the number of medically treated falls. In 2015, healthcare spending attributable to older adult falls was approximately US$50 billion. We aim to update the estimated medical expenditures attributable to older adult non-fatal falls. METHODS: Generalised linear models using 2017, 2019 and 2021 Medicare Current Beneficiary Survey and cost supplement files were used to estimate the association of falls with healthcare expenditures while adjusting for demographic characteristics and health conditions in the model. To portion out the share of total healthcare spending attributable to falls versus not, we adjusted for demographic characteristics and health conditions, including self-reported health status and certain comorbidities associated with increased risk of falling or higher healthcare expenditure. We calculated a fall-attributable fraction of expenditure as total expenditures minus total expenditures with no falls divided by total expenditures. We applied the fall-attributable fraction of expenditure from the regression model to the 2020 total expenditures from the National Health Expenditure Data to calculate total healthcare spending attributable to older adult falls. RESULTS: In 2020, healthcare expenditure for non-fatal falls was US$80.0 billion, with the majority paid by Medicare. CONCLUSION: Healthcare spending for non-fatal older adult falls was substantially higher than previously reported estimates. This highlights the growing economic burden attributable to older adult falls and these findings can be used to inform policies on fall prevention efforts in the USA.

The Association Between State Minimum Wage and Firearm Homicides, 2000-2020.

INTRODUCTION: Recent research has indicated an association between both poverty and income inequality and firearm homicides. Increased minimum wages may serve as a strategy for reducing firearm violence by increasing economic security among workers earning low wages and reducing the number of families living in poverty. This study aimed to examine the association between state minimum wage and firearm homicides in the U.S. between 2000 and 2020. METHODS: State minimum wage, obtained from Temple's Law Atlas and augmented by legal research, was conceptualized using the Kaitz Index. State-level homicide counts were obtained from 2000 to 2020 multiple-cause-of death mortality data from the National Vital Statistics System. Log-linear regressions were conducted to model the associations between state minimum wage and firearm homicides, stratifying by demographic groups. Analyses were conducted in 2023. RESULTS: A 1% point increase in a state's Kaitz Index was associated with a 1.3% (95% CI: -2.1% to -0.5%) decrease in a state's firearm homicide rate. When interacted with quartile of firearm ownership, the Kaitz Index was associated with decreases in firearm homicide in all except the lowest quartile. These findings were largely consistent across stratifications. CONCLUSIONS: Changing a state's minimum wage, whereby a full-time minimum wage worker's salary is closer to a state's median income, may be an option for reducing firearm homicides.

Costs of Fatal and Nonfatal Firearm Injuries in the U.S., 2019 and 2020.

INTRODUCTION: Firearm-related injuries are among the five leading causes of death for people aged 1-44 years in the U.S. The immediate and long-term harms of firearm injuries pose an economic burden on society. Fatal and nonfatal firearm injury costs in the U.S. were estimated providing up-to-date economic burden estimates. METHODS: Counts of nonfatal firearm injuries were obtained from the 2019-2020 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Data on nonfatal injury intent were obtained from the National Electronic Injury Surveillance System - Firearm Injury Surveillance System. Counts of deaths (firearm as underlying cause) were obtained from the 2019-2020 multiple cause-of-death mortality data from the National Vital Statistics System. Analyses were conducted in 2023. RESULTS: The total cost of firearm related injuries and deaths in the U.S. for 2020 was $493.2 billion, a 16 percent increase compared with 2019. There are significant disparities in the cost of firearm deaths in 2019-2020, with non-Hispanic Black people, males, and young and middle-aged groups being the most affected. CONCLUSIONS: Most of the nonfatal firearm injury-related costs are attributed to hospitalization. These findings highlight the racial/ethnic differences in fatal firearm injuries and the disproportionate cost burden to urban areas. Addressing this important public health problem can help ameliorate the costs to our society from the rising rates of firearm injuries.

Estimated prevalence of helmet use while bicycling, rollerblading, and skateboarding among middle school students in selected U.S. States- Youth Behavior Risk Survey, 2013-2019.

BACKGROUND: Helmet use helps prevent severe and fatal head and brain injuries from bicycle, rollerblade, and skateboard crashes. This study explores the prevalence of self-reported helmet use among middle school students while bicycling, skateboarding, and rollerblading. METHODS: Data from the Middle School Youth Risk Behavior Survey (YRBS) for selected states were analyzed. Self-reported prevalence (frequency) of helmet use while bicycling, rollerblading, or skateboarding and other variables (sex, grade level, and race/ethnicity) are reported. RESULTS: The overall prevalence of rarely or never wearing a helmet while bicycling among middle school students in selected states was 68.6%; decreasing from 71.7% in 2013 to 67.1% in 2019. The overall prevalence of rarely or never wearing a helmet while rollerblading or skateboarding in middle school students in selected states was 74.6%; decreasing from 76.4% in 2013 to 73.5% in 2019. Students in 7th and 8th grade and students of non-Hispanic race/ethnicity had significantly higher odds of rarely or never wearing a helmet while bicycling or while rollerblading and skateboarding than students in 6th grade and non-Hispanic White students. CONCLUSIONS: While helmet use among middle school students improved over time, overall helmet use during bicycling, rollerblading, and skateboarding remained low. These estimates illustrate the continued call for universal implementation of helmet use efforts among kids using established strategies. PRACTICAL APPLICATIONS: Future research on helmet use among youth who rollerblade and skateboard, as well as multi-pronged efforts to promote helmet use among middle schoolers who bicycle, skateboard, and rollerblade (inclusive of education, helmet distribution, and social marketing techniques, as well as the provision of helmets at no-cost) may be beneficial for addressing perceived risks for injury and other barriers.

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.

Association between social vulnerability factors and unintentional fatal injury rates - United States, 2015-2019.

BACKGROUND: Differences in social and environmental factors can contribute to disparities in fatal injury rates. The purpose of this study was to examine the relationship between social and environmental factors and unintentional fatal injury across counties in the United States and how this relationship varies by geography. METHODS: County-level vital statistics on age-adjusted unintentional fatal injury rates for 2015-2019 were linked with county-level data from the 2018 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted linear regression to examine the association between SVI and unintentional fatal injury, overall and by Census region/division. We mapped county-level data for SVI and unintentional fatal injury rates in bivariate choropleth maps using quartiles. RESULTS: SVI was positively associated with unintentional fatal injury (ß = 18.29, p < 0.001) across U.S. counties. The geographic distribution of SVI and unintentional fatal injury rates varied spatially and substantially for U.S. counties, with counties in the South and West regions having the greatest levels of SVI and rates of unintentional fatal injury. CONCLUSIONS: Our findings demonstrate that the social vulnerability of counties is associated with unintentional fatal injury rates. Modification of the SVI for injury research could include additional social determinants and exclude variables not applicable to injuries. A modified SVI could inform unintentional injury prevention strategies by prioritizing efforts in areas with high levels of social vulnerability. PRACTICAL APPLICATIONS: This study is the first step in combining the SVI and injury mortality data to provide researchers with an index to investigate upstream factors related to injury.

Neuroimaging for mild traumatic brain injury in children: cross-sectional study using national claims data.

BACKGROUND: Current guidelines recommend healthcare professionals avoid routine use of neuroimaging for diagnosing mild traumatic brain injury (mTBI). OBJECTIVE: This study aimed to examine current use of CT and MRI among children and young adult patients with mTBI and factors that increase likelihood of neuroimaging in this population. MATERIALS AND METHODS: Data were analyzed using the 2019 MarketScan commercial claims and encounters database for the commercially insured population for both inpatient and outpatient claims. Descriptive statistics and logistic regression models for patients ≤24 years of age who received an ICD-10-CM code indicative of a possible mTBI were analyzed. RESULTS: Neuroimaging was performed in 16.9% (CT; 95% CI=16.7-17.1) and 0.9% (MRI; 95% CI=0.8-0.9) of mTBI outpatient visits (including emergency department visits) among children (≤18 years old). Neuroimaging was performed in a higher percentage of outpatient visits for patients 19-24 years old (CT=47.1% [95% CI=46.5-47.6] and MRI=1.7% [95% CI=1.5-1.8]), and children aged 15-18 years old (CT=20.9% [95% CI=20.5-21.2] and MRI=1.4% [95% CI=1.3-1.5]). Outpatient visits for males were 1.22 (95% CI=1.10-1.25) times more likely to include CT compared to females, while there were no differences by sex for MRI or among inpatient stays. Urban residents, as compared to rural, were less likely to get CT in outpatient settings (adjusted odds ratio [aOR]=0.55, 95% CI=0.53-0.57). Rural residents demonstrated a larger proportion of inpatient admissions that had a CT. CONCLUSIONS: Despite recommendations to avoid routine use of neuroimaging for mTBI, neuroimaging remained common practice in 2019.

Firearm-Related Traumatic Brain Injury Homicides in the United States, 2000-2019.

BACKGROUND: Traumatic brain injury (TBI) is a leading cause of homicide-related death in the United States. Penetrating TBI associated with firearms is a unique injury with an exceptionally high mortality rate that requires specialized neurocritical trauma care. OBJECTIVE: To report incidence patterns of firearm-related and nonfirearm-related TBI homicides in the United States between 2000 and 2019 by demographic characteristics to provide foundational data for prevention and treatment strategies. METHODS: Data were obtained from multiple cause of death records from the National Vital Statistics System using Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database for the years 2000 to 2019. Number, age-adjusted rates, and percent of firearm and nonfirearm-related TBI homicides by demographic characteristics were calculated. Temporal trends were also evaluated. RESULTS: During the study period, there were 77 602 firearm-related TBI homicides. Firearms were involved in the majority (68%) of all TBI homicides. Overall, men, people living in metro areas, and non-Hispanic Black persons had higher rates of firearm-related TBI homicides. The rate of nonfirearm-related TBI homicides declined by 40%, whereas the rate of firearm-related TBI homicides only declined by 3% during the study period. There was a notable increase in the rate of firearm-related TBI homicides from 2012/2013 through 2019 for women (20%) and nonmetro residents (39%). CONCLUSION: Firearm-related violence is an important public health problem and is associated with the majority of TBI homicide deaths in the United States. The findings from this study may be used to inform prevention and guide further research to improve treatment strategies directed at reducing TBI homicides involving firearms.

Sports-Related Concussions and Adverse Health Behaviors Among Middle and High School Students.

BACKGROUND: Concussions affect millions of youths in the United States each year, and there is concern about long-term health effects from this injury. PURPOSE: To examine the association between sports- or physical activity-related concussion and health risk behaviors among middle and high school students in 9 states. STUDY DESIGN: Cross-sectional study; Level of evidence, 3. METHODS: Data from the 2019 middle school and high school Youth Risk Behavior Survey were used for this analysis. Nine states were identified that included the same question on concussion and similar questions on health risk behaviors in their 2019 Youth Risk Behavior Survey. Students were asked to self-report whether they had ≥1 sports- or physical activity-related concussions during the 12 months preceding the survey. Self-reported concussion was the primary outcome of interest. Other variables included sex, race/ethnicity, played on a sports team, were physically active 5 or more days/week, ever tried cigarette smoking, ever used an electronic vapor product, academic grades, drank alcohol, were in a physical fight, seriously considered attempting suicide, made a suicide plan, and attempted suicide. RESULTS: Among the 9 states, 18.2% of middle school students and 14.3% of high school students self-reported ≥1 sports- or physical activity-related concussions. Among both middle school and high school students, the prevalence of ≥1 sports- or physical activity-related concussions was higher among students who played on a sports team, were physically active 5 or more days per week, had ever tried cigarette smoking, had ever used an electronic vapor product, had seriously considered attempting suicide, had made a suicide plan, and had attempted suicide compared with those who had not engaged in those behaviors. The prevalence of sports- or physical activity-related concussion was consistently higher among middle school students than high school students across sex, race/ethnicity, and adverse health behaviors. CONCLUSION: Middle school students with a history of concussion warrant attention as an at-risk population for concussions and adverse health behaviors. Health care providers may consider screening students for adverse health behaviors during preparticipation examinations and concussion evaluations.

Association between traumatic brain injury and suicidality using a mediation approach and MarketScan.

INTRODUCTION: Negative outcomes, including suicidal ideation/attempts, are a major public health concern, particularly among individuals who sustain a traumatic brain injury (TBI). TBI is associated with high rates of postinjury substance use, psychiatric disorders, post-traumatic stress disorder and sleep disturbances. This study examines the mediation effects of substance use, psychiatric disorder and sleep disorder on the associations between TBI and suicidal ideation/attempts. METHODS: A matched case-control study using data from MarketScan databases for private health insurance and Medicaid from October 2015 to December 2018 estimated the association between TBI and suicidal ideation/attempts using a mediation approach. Individuals less than 65 years of age were included. RESULTS: In the Medicaid sample, psychiatric disorders mediated 22.4% of the total effect between TBI and suicidal ideation/attempt, while substance use disorders other than opioid use disorder mediated 7.47%. In the private health insurance sample, psychiatric disorders mediated 3.97% of the total effect, opioid use disorders mediated 2.08% of the total effect and sleep disorder mediated 1.25% of the total effect. CONCLUSIONS: Mediators explained less than 30% of the relationship between TBI and suicidal ideation/attempt. Findings reinforce the importance of primary prevention of TBI and monitoring patients with a TBI for risk of suicide in the first 6-12 months following injury.

Costs attributable to criminal justice involvement in injuries: a systematic review.

CONTEXT: Costs related to criminal justice are an important component of the economic burden of injuries; such costs could include police involvement, judicial and corrections costs, among others. If the literature has sufficient information on the criminal justice costs related to injury, it could be added to existing estimates of the economic burden of injury. OBJECTIVE: To examine research on injury-related criminal justice costs, and what extent cost information is available by type of injury. DATA SOURCES: Medline, PsycINFO, Sociological Abstracts ProQuest, EconLit and National Criminal Justice Reference Service were searched from 1998 to 2021. DATA EXTRACTION: Preferred Reporting Items for Systematic reviews and Meta-Analyses was followed for data reporting. RESULTS: Overall, 29 studies reported criminal justice costs and the costs of crime vary considerably. CONCLUSIONS: This study illustrates possible touchpoints for cost inputs and outputs in the criminal justice pathway, providing a useful conceptualisation for better estimating criminal justice costs of injury in the future. However, better understanding of all criminal justice costs for injury-related crimes may provide justification for prevention efforts and potentially for groups who are disproportionately affected. Future research may focus on criminal justice cost estimates from injuries by demographics to better understand the impact these costs have on particular populations.

Assessing Female Suicide From a Health Equity Viewpoint, U.S. 2004-2018.

INTRODUCTION: Geographic and urbanization differences in female suicide trends across the U.S. necessitates suicide prevention efforts on the basis of geographic variations. The purpose of this study was to assess female suicide rates by mechanism within Census divisions and by urbanicity to help inform geographically tailored approaches for suicide prevention strategies. METHODS: Data from 2004 to 2018 were obtained from the National Vital Statistics System (analyzed in 2021). Annual counts of female suicides were tabulated for firearm, suffocation, and drug poisoning and stratified by the U.S. Census division and urbanicity. Age-adjusted rates were calculated to describe female suicide incidence by geographic areas and urbanicity. Data were analyzed annually and by 5-year timeframes. Trends in annual female suicide rates by mechanism for 3 urbanization levels were identified using Joinpoint Regression. Annual percent change estimates were calculated for age-adjusted female suicide rates between 2004 and 2018. RESULTS: Female suicide rates by mechanism were not homogeneous within Census divisions or by urbanization levels. Suicide rates by mechanism across Census divisions within the same urbanization level varied (range=3.38-11.15 [per 100,000 person per year]). From 2014 to 2018 in large metropolitan areas in the northern divisions, rates for suffocation were higher than for firearms and drug poisoning. During the same period, in all urbanization levels in southern divisions, rates for firearms were higher than for suffocation and drug poisoning. CONCLUSIONS: Female suicide mechanisms vary by urbanization level, and this variation differs by region. These results could inform female suicide prevention strategies on the basis of mechanism, urbanization, and geographic region.

The Differential Impact of Reopening States With and Without COVID-19 Face Mask Mandates on County-Level Consumer Spending.

OBJECTIVES: By the end of 2020, 38 states and the District of Columbia had issued requirements that people wear face masks when in public settings to counter SARS-CoV-2 transmission. To examine the role face mask mandates played in economic recovery, we analyzed the interactive effect of having a state face mask mandate in place on county-level consumer spending after state reopening, adjusting for county rates of new COVID-19 cases and deaths, time trends, and county-specific effects. METHODS: We collected county-specific data from state executive orders, consumer spending data from the Opportunity Insights Economic Tracker, and COVID-19 case and death data from the Centers for Disease Control and Prevention COVID-19 tracker. Using an event study approach, we compared county-level changes in consumer spending before and after state-issued closure orders were lifted and assessed the interactive effect of state-issued face mask mandates. RESULTS: The lifting of state-issued closures was associated with an average increase in consumer spending across all counties studied within 1 month. However, the increase was 1.2-1.7 percentage points higher in counties with a state face mask mandate in place than in counties without a state face mask mandate. CONCLUSIONS: In addition to their public health benefits, face mask mandates may have assisted economic recovery during the COVID-19 pandemic, suggesting they are a strong public health strategy for policy makers to consider now and for potential future pandemics arising from airborne viruses.

Injury Prevention Activities in US Schools, School Health Policies and Practices Survey 2014.

BACKGROUND: Exposure to injury and violence early in life increases the risk of experiencing injury and violence later in life. In 2019, the top 3 leading causes of death among 15- to 18-year-olds in the United States were unintentional injury, suicide, and homicide. This study examines the extent to which schools promote injury and violence prevention. METHODS: This study examined injury- and violence-related school policies and practices using nationally representative data from the 2014 School Health Policies and Practices Study. The social ecological model served as the theoretical framework to identify level of impact. RESULTS: For many injury-related topics, more than 75% of schools nationwide had relevant policies and practices to address those topics. However, this study showed differences in schools' injury-related policies and practices by urbanicity. CONCLUSIONS: Understanding and identifying gaps in school policies and practices is essential for reducing and preventing the injury and violence children experience. Collecting data on school policies and practices allows for better monitoring and evaluation to determine which are efficacious and aligned with the best available evidence.

Monetised estimated quality-adjusted life year (QALY) losses for non-fatal injuries.

BACKGROUND: Quality-adjusted life years (QALYs) provide a means to compare injuries using a common measurement which allows quality of life and duration of life from an injury to be considered. A more comprehensive picture of the economic losses associated with injuries can be found when QALY estimates are combined with medical and work loss costs. This study provides estimates of QALY loss. METHODS: QALY loss estimates were assigned to records in the 2018 National Electronic Injury Surveillance System - All Injury Program. QALY estimates by body region and nature of injury were assigned using a combination of previous research methods. Injuries were rated on six dimensions, which identify a set of discrete qualitative impairments. Additionally, a seventh dimension, work-related disability, was included. QALY loss estimates were produced by intent and mechanism, for all emergency department-treated cases, by two disposition groups. RESULTS: Lifetime QALY losses ranged from 0.0004 to 0.388 for treated and released injuries, and from 0.031 to 3.905 for hospitalised injuries. The 1-year monetary value of QALY losses ranged from $136 to $437 000 among both treated and released and hospitalised injuries. The lifetime monetary value of QALY losses for hospitalised injuries ranged from $16 000 to $2.1 million. CONCLUSIONS: These estimates provide information to improve knowledge about the comprehensive economic burden of injuries; direct cost elements that can be measured through financial transactions do not capture the full cost of an injury. Comprehensive assessment of the long-term cost of injuries, including quality of life losses, is critical to accurately estimate the economic burden of injuries.

Risk factors for COVID-19 among persons with substance use disorder (PWSUD) with hospital visits - United States, April 2020-December 2020.

INTRODUCTION: Sociodemographic factors and chronic conditions associated with coronavirus disease 2019 (COVID-19) among persons with substance use disorder (PWSUD) are not well understood. We identified risk factors associated with COVID-19 among PWSUD with hospital visits. METHODS: Using the Premier Healthcare Database Special COVID-19 Release, we conducted a case-control study using ICD-10-CM codes to identify PWSUD aged 12 years and older with hospital visits for any reason during April-December 2020. Multivariable logistic regression was used to calculate adjusted odds ratios (aOR) and 95% confidence intervals (CI) to identify factors associated with COVID-19 diagnosis among PWSUD (age, sex, race/ethnicity, U.S. Census Region, urban/rural classification, insurance payor type, comorbidities, and substance use disorder [SUD] type), and then stratified by SUD type. RESULTS: From April-December 2020, 18,298 (1.3%) of 1,429,154 persons with SUD in the database had a COVID-19 diagnosis. Among PWSUD, opioid use disorder (OUD; aOR = 1.24, 95% CI = 1.18-1.32), alcohol use disorder (AUD; aOR = 1.16, 95% CI = 1.11-1.22), cocaine or other stimulant use disorder (COUD; aOR = 1.28, 95% CI = 1.22-1.34), and multiple SUDs (aOR = 1.20, 95% CI = 1.15-1.26) were associated with higher odds of COVID-19, as were comorbidities such as chronic lower respiratory disease (aOR = 1.32, 95% CI = 1.26-1.37), chronic hepatitis (aOR = 1.45, 95% CI = 1.34-1.57), and diabetes (aOR = 1.78, 95% CI = 1.71-1.86). CONCLUSIONS: Among a sample of PWSUD, OUD, AUD, COUD, multiple SUDs, and associated comorbidities were associated with COVID-19 diagnosis. Integration of COVID-related care, care of other comorbidities, and SUD treatment may benefit PWSUD. Future studies are needed to better understand COVID-19 prevention in this population and to reduce disparities among subpopulations at increased risk.

The Impact of Covid-19 State Closure Orders on Consumer Spending, Employment, and Business Revenue.

CONTEXT: In response to the COVID-19 pandemic, states across the United States implemented various strategies to mitigate transmission of SARS-CoV-2 (the virus that causes COVID-19). OBJECTIVE: To examine the effect of COVID-19-related state closures on consumer spending, business revenue, and employment, while controlling for changes in COVID-19 incidence and death. DESIGN: The analysis estimated a difference-in-difference model, utilizing temporal and geographic variation in state closure orders to analyze their impact on the economy, while controlling for COVID-19 incidence and death. PARTICIPANTS: State-level data on economic outcomes from the Opportunity Insights data tracker and COVID-19 cases and death data from usafacts.org. INTERVENTIONS: The mitigation strategy analyzed within this study was COVID-19-related state closure orders. Data on these orders were obtained from state government Web sites containing executive or administrative orders. MAIN OUTCOME MEASURES: Outcomes include state-level estimates of consumer spending, business revenue, and employment levels. RESULTS: Analyses showed that although state closures led to a decrease in consumer spending, business revenue, and employment, they accounted for only a small portion of the observed decreases in these outcomes over the first wave of COVID-19. CONCLUSIONS: The impact of COVID-19 on economic activity likely reflects a combination of factors, in addition to state closures, such as individuals' perceptions of risk related to COVID-19 incidence, which may play significant roles in impacting economic activity.