Refinement of a Preliminary Case Definition for Use in Traumatic Brain Injury Surveillance.

OBJECTIVE: Current methods used to measure incidence of traumatic brain injury (TBI) underestimate its true public health burden. The use of self-report surveys may be an approach to improve these estimates. An important step in public health surveillance is to define a public health problem using a case definition. The purpose of this article is to outline the process that the Centers for Disease Control and Prevention undertook to refine a TBI case definition to be used in surveillance using a self-report survey. SETTING: Survey. PARTICIPANTS: A total of 10 030 adults participated via a random digit-dial telephone survey from September 2018 to September 2019. MAIN MEASURES: Respondents were asked whether they had sustained a hit to the head in the preceding 12 months and whether they experienced a series of 12 signs and symptoms as a result of this injury. DESIGN: Head injuries with 1 or more signs/symptoms reported were initially categorized into a 3-tiered TBI case definition (probable TBI, possible TBI, and delayed possible TBI), corresponding to the level of certainty that a TBI occurred. Placement in a tier was compared with a range of severity measures (whether medical evaluation was sought, time to symptom resolution, self-rated social and work functioning); case definition tiers were then modified in a stepwise fashion to maximize differences in severity between tiers. RESULTS: There were statistically significant differences in the severity measure between cases in the probable and possible TBI tiers but not between other tiers. Timing of symptom onset did not meaningfully differentiate between cases on severity measures; therefore, the delayed possible tier was eliminated, resulting in 2 tiers: probable and possible TBI. CONCLUSION: The 2-tiered TBI case definition that was derived from this analysis can be used in future surveillance efforts to differentiate cases by certainty and from noncases for the purpose of reporting TBI prevalence and incidence estimates. The refined case definition can help researchers increase the confidence they have in reporting survey respondents' self-reported TBIs as well as provide them with the flexibility to report an expansive (probable + possible TBI) or more conservative (probable TBI only) estimate of TBI prevalence.

Rationale for the Development of a Traumatic Brain Injury Case Definition for the Pilot National Concussion Surveillance System.

BACKGROUND: Current methods of traumatic brain injury (TBI) morbidity surveillance in the United States have primarily relied on hospital-based data sets. However, these methods undercount TBIs as they do not include TBIs seen in outpatient settings and those that are untreated and undiagnosed. A 2014 National Academy of Science Engineering and Medicine report recommended that the Centers for Disease Control and Prevention (CDC) establish and manage a national surveillance system to better describe the burden of sports- and recreation-related TBI, including concussion, among youth. Given the limitations of TBI surveillance in general, CDC took this recommendation as a call to action to formulate and implement a robust pilot National Concussion Surveillance System that could estimate the public health burden of concussion and TBI among Americans from all causes of brain injury. Because of the constraints of identifying TBI in clinical settings, an alternative surveillance approach is to collect TBI data via a self-report survey. Before such a survey was piloted, it was necessary for CDC to develop a case definition for self-reported TBI. OBJECTIVE: This article outlines the rationale and process the CDC used to develop a tiered case definition for self-reported TBI to be used for surveillance purposes. CONCLUSION: A tiered TBI case definition is proposed with tiers based on the type of sign/symptom(s) reported the number of symptoms reported, and the timing of symptom onset.

The Health and Economic Impact of Youth Violence by Injury Mechanism.

INTRODUCTION: Violence is a leading cause of morbidity and mortality among U.S. youth. More information on the health and economic burden of the most frequent assault mechanisms-or, causes (e.g., firearms, cut/pierce)-can support the development and implementation of effective public health strategies. Using nationally representative data sources, this study estimated the annual health and economic burden of U.S. youth violence by injury mechanism. METHODS: In 2023, CDC's WISQARS provided the number of homicides and nonfatal assault ED visits by injury mechanism among U.S. youth aged 10-24 years in 2020, as well as the associated average economic costs of medical care, lost work, morbidity-related reduced quality of life, and value of statistical life. The Healthcare Cost and Utilization Project Nationwide Emergency Department Sample provided supplemental nonfatal assault incidence data for comprehensive reporting by injury mechanism. RESULTS: Of the $86B estimated annual economic burden of youth homicide, $78B was caused by firearms, $4B by cut/pierce injuries, and $1B by unspecified causes. Of the $36B billion estimated economic burden of nonfatal youth violence injuries, $19B was caused by struck by/against injuries, $3B by firearm injuries, and $365M by cut/pierce injuries. CONCLUSIONS: The lethality of assault injuries affecting youth when a weapon is explicitly or likely involved is high-firearms and cut/pierce injuries combined account for nearly all youth homicides compared to one-tenth of nonfatal assault injury ED visits. There are numerous evidence-based policies, programs, and practices to reduce the number of lives lost or negatively impacted by youth violence.

Weathering the Storm: Syringe Services Program Laws and Human Immunodeficiency Virus During the COVID-19 Pandemic.

BACKGROUND: Syringe services programs (SSPs) are community-based prevention programs that provide a range of harm reduction services to persons who inject drugs. Despite their benefits, SSP laws vary across the United States. Little is known regarding how legislation surrounding SSPs may have influenced HIV transmission over the COVID-19 pandemic, a period in which drug use increased. This study examined associations between state SSP laws and HIV transmission among the Medicaid population before and after the COVID-19 pandemic. METHODS: State-by-month counts of new HIV diagnoses among the Medicaid population were produced using administrative claims data from the Transformed Medicaid Statistical Information System from 2019 to 2020. Data on SSP laws were collected from the Prescription Drug Abuse Policy System. Associations between state SSP laws and HIV transmission before and after the start of the COVID-19 pandemic were evaluated using an event study design, controlling for the implementation of COVID-19 nonpharmaceutical interventions and state and time fixed effects. RESULTS: State laws allowing the operation of SSPs were associated with 0.54 (P = 0.044) to 1.18 (P = 0.001) fewer new monthly HIV diagnoses per 100,000 Medicaid enrollees relative to states without such laws in place during the 9 months after the start of the COVID-19 pandemic. The largest effects manifested for population subgroups disproportionately affected by HIV, such as male and non-Hispanic Black Medicaid enrollees. CONCLUSION: Less restrictive laws on SSPs may have helped mitigate HIV transmission among the Medicaid population throughout the COVID-19 pandemic. Policymakers can consider implementing less restrictive SSP laws to mitigate HIV transmission resulting from future increases in injection drug use. DISCLAIMER: The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Professional Fees for U.S. Hospital Care, 2016-2020.

BACKGROUND: The latest comprehensive diagnosis-specific estimates of hospital professional fees relative to facility fees are from 2004 to 2012. OBJECTIVE: Update professional fee ratio (PFR) estimates to improve cost analysis opportunities with hospital discharge data sources and compare them with previous PFR estimates. SUBJECTS: 2016-2020 MarketScan inpatient admissions and emergency department (ED) treat and release claims. MEASURES: PFR was calculated as total admission or ED visit payment divided by facility-only payment. This measure can be multiplied by hospital facility costs to yield a total cost estimate. RESEARCH DESIGN: Generalized linear regression models controlling for selected patient and service characteristics were used to calculate adjusted mean PFR per admission or ED visit by health payer type (commercial or Medicaid) and by selected diagnostic categories representing all clinical diagnoses (Major Diagnostic Category, Diagnostic Related Group, and Clinical Classification Software Revised). RESULTS: Mean 2016-2020 PFR was 1.224 for admissions with commercial payers (n = 6.7 million admissions) and 1.178 for Medicaid (n = 4.2 million), indicating professional payments on average increased total payments by 22.4% and 17.8%, respectively, above facility-only payments. This is a 9% and 3% decline in PFR, respectively, compared with 2004 estimates. PFR for ED visits during 2016-2020 was 1.283 for commercial payers (n = 22.2 million visits) and 1.415 for Medicaid (n = 17.7 million). This is a 12% and 5% decline in PFR, respectively, compared with 2004 estimates. CONCLUSIONS: Professional fees comprise a declining proportion of hospital-based care costs. Adjustments for professional fees are recommended when hospital facility-only financial data are used to estimate hospital care costs.

Firearm Homicides of US Children Precipitated by Intimate Partner Violence: 2003-2020.

OBJECTIVES: Examine characteristics associated with firearm homicides of children aged 0-17 years precipitated by intimate partner violence (IPV). METHODS: Data were from the Center for Disease Control and Prevention's National Violent Death Reporting System (49 states, District of Columbia, Puerto Rico; 2003-2020). Logistic regression was used to examine associations between various characteristics and IPV among child firearm homicides. RESULTS: From 2003-2020, a total of 11 594 child homicides were captured in the National Violent Death Reporting System, of which 49.3% (n = 5716) were firearm homicides; 12.0% (n = 686) of child firearm homicides were IPV-related. Among IPV-related child firearm homicides, 86.0% (n = 590) were child corollary victims (ie, children whose death was connected to IPV between others); 14.0% (n = 96) were teens killed by a current or former dating partner. Child firearm homicides had greater odds of involving IPV when precipitated by conflict, crises, and cooccurring with the perpetrator's suicide compared with those without these characteristics. Over half of IPV-related firearm homicides of child corollary victims included homicide of the adult intimate partner, of which 94.1% were the child victim's mother. Child firearm homicides perpetrated by mothers' male companions (adjusted odds ratio, 6.9; 95% confidence interval, 3.9-12.1) and children's fathers (adjusted odds ratio, 4.5; 95% confidence interval, 3.0-6.8) had greater odds of involving IPV compared with those perpetrated by mothers. CONCLUSIONS: Multiple factors were associated with greater odds of child firearm homicides being IPV-related. Strategies promoting healthy intimate partner relationships starting at a young age; assessment of danger to children in IPV situations; strengthening economic supports for families; creating safe, stable, and nurturing relationships and environments for children; and addressing social and structural inequities are important for preventing firearm homicides of children, including those involving IPV.

Strong Father-Child Relationships and Other Positive Childhood Experiences, Adverse Childhood Experiences, and Sexual Risk Factors for HIV among Young Adults Aged 19-24 Years, Namibia, 2019: A Cross-Sectional Study.

Using cross-sectional data from the 2019 Namibia Violence Against Children and Youth Survey and sex-stratified multivariable models, we assessed the associations between four different positive childhood experiences (PCEs) and having ≥3 adverse childhood experiences (ACEs), including ≥3 ACE-PCE interaction terms, and seven sexual risk factors for HIV acquisition among young adults aged 19-24 years. One PCE, having a strong father-child relationship, was inversely associated with two risk factors among women (lifetime transactional sex (OR, 0.4; 95% CI, 0.2-0.7) and recent age-disparate sexual relationships (OR, 0.3; 95% CI, 0.2-0.5)), and significantly interacted with having ≥3 ACEs for three risk factors among women (not knowing a partner's HIV status, infrequently using condoms, and ever having an STI) and one among men (having multiple sexual partners in the past year). The other PCEs were significantly associated with ≤1 HIV risk factor and had no significant interaction terms. Strong father-child relationships may reduce HIV acquisition risk and mitigate the effect of childhood adversity on HIV risk among young adults in Namibia.

Mental health and substance use disorders at delivery hospitalization and readmissions after delivery discharge.

BACKGROUND: The objective was to assess mental health and substance use disorders (MSUD) at delivery hospitalization and readmissions after delivery discharge. METHODS: This is a population-based retrospective cohort study of persons who had a delivery hospitalization during January to September in the 2019 Nationwide Readmissions Database. We calculated 90-day readmission rates for MSUD and non-MSUD, overall and stratified by MSUD status at delivery. We used multivariable logistic regressions to assess the associations of MSUD type, patient, clinical, and hospital factors at delivery with 90-day MSUD readmissions. RESULTS: An estimated 11.8% of the 2,697,605 weighted delivery hospitalizations recorded MSUD diagnoses. The 90-day MSUD and non-MSUD readmission rates were 0.41% and 2.9% among delivery discharges with MSUD diagnoses, compared to 0.047% and 1.9% among delivery discharges without MSUD diagnoses. In multivariable analysis, schizophrenia, bipolar disorder, stimulant-related disorders, depressive disorders, trauma- and stressor-related disorders, alcohol-related disorders, miscellaneous mental and behavioral disorders, and other specified substance-related disorders were significantly associated with increased odds of MSUD readmissions. Three or more co-occurring MSUDs (vs one MSUD), Medicare or Medicaid (vs private) as the primary expected payer, lowest (vs highest) quartile of median household income at residence zip code level, decreasing age, and longer length of stay at delivery were significantly associated with increased odds of MSUD readmissions. CONCLUSION: Compared to persons without MSUD at delivery, those with MSUD had higher MSUD and non-MSUD 90-day readmission rates. Strategies to address MSUD readmissions can include improved postpartum MSUD follow-up management, expanded Medicaid postpartum coverage, and addressing social determinants of health.

Medical Costs of Substance Use Disorders in the US Employer-Sponsored Insurance Population.

Importance: Direct costs of substance use disorders (SUDs) in the United States are incurred primarily among the working-age population. Quantifying the medical cost of SUDs in the employer-sponsored insurance (ESI) population can improve understanding of how SUDs are affecting workplaces and inform decision-making on the value of prevention strategies. Objective: To estimate the annual attributable medical cost of SUDs in the ESI population from the health care payer perspective. Design, Setting, and Participants: In this economic evaluation, Merative MarketScan 2018 databases were weighted to represent the non-Medicare eligible ESI population. Regression and mathematical modeling of medical expenditures controlled for insurance enrollee demographic, clinical, and insurance factors to compare enrollees with and without an SUD diagnosis to identify the annual attributable medical cost of SUDs. Data analysis was conducted from January to March 2022. Exposures: International Statistical Classification of Diseases, Tenth Revision, Clinical Modification SUD diagnoses on inpatient or outpatient medical records according to Clinical Classifications Software categories (alcohol-, cannabis-, hallucinogen-, inhalant-, opioid-, sedative-, stimulant-, and other substance-related disorders). Main Outcomes and Measures: Annual SUD medical cost in the ESI population overall and by substance type (eg, alcohol). Number of enrollees with an SUD diagnosis and the annual mean cost per affected enrollee of SUD diagnosis (any and by substance type) are also reported. Results: Among 162 million ESI enrollees, 2.3 million (1.4%) had an SUD diagnosis in 2018. The regression analysis sample included 210 225 individuals with an SUD diagnosis (121 357 [57.7%] male individuals; 68 325 [32.5%] aged 25-44 years) and 1 049 539 individuals with no SUD diagnosis. The mean annual medical cost attributable to SUD diagnosis per affected enrollee was $15 640 (95% CI, $15 340-$15 940), and the total annual medical cost in the ESI population was $35.3 billion (2018 USD). Alcohol use disorder ($10.2 billion) and opioid use disorder ($7.3 billion) were the most costly. Conclusions and Relevance: In this economic evaluation of medical expenditures in the ESI population, the per-person and total medical costs of SUDs were substantial. Strategies to support employees and their health insurance dependents to prevent and treat SUDs can be considered in terms of potentially offsetting the existing high medical cost of SUDs. Medical expenditures for SUDs represent the minimum direct cost that employers and health insurers face because not all people with SUDs have a diagnosis, and costs related to absenteeism, presenteeism, job retention, and mortality are not addressed.

Circumstances Contributing to Suicide Among U.S. Adolescents Aged 10-19 Years With and Without a Known Mental Health Condition: National Violent Death Reporting System, 2013-2018.

PURPOSE: Suicide is the second leading cause of death for adolescents in the United States; however, suicide is preventable and a better understanding of circumstances that contribute to death can inform prevention efforts. While the association between adolescent suicide and mental health is well established, multiple circumstances contribute to suicide risk. This study examines characteristics of adolescents who died by suicide and differences in circumstances between those with and without known mental health conditions at the time of death. METHODS: Logistic regression models were used to estimate adjusted odds ratios and 95% confidence intervals of circumstances contributing to suicide between decedents with and without known mental health conditions using data from the 2013 to 2018 National Violent Death Reporting System (analyzed in 2021). RESULTS: Decedents with a known mental health condition were 1.2-1.8 times more likely to experience problematic alcohol misuse, substance misuse, family and other nonintimate relationship problems, and school problems; however, there were no significant differences between those with and without a known mental health condition for the preceding circumstances of arguments or conflicts, criminal or legal problems, or any crisis occurring within the two weeks prior to death. DISCUSSION: A comprehensive suicide prevention approach can address not only mental health conditions as a risk factor but also life stressors and other crises experienced among adolescents without known mental health conditions.

Racial‒Ethnic Disparities of Buprenorphine and Vivitrol Receipt in Medicaid.

INTRODUCTION: Expanding access to medications for opioid use disorder is a cornerstone to addressing the opioid overdose epidemic. However, recent research suggests that the distribution of medications for opioid use disorder has been inequitable. This study analyzes the racial‒ethnic disparities in the receipt of medications for opioid use disorder among Medicaid patients diagnosed with opioid use disorder. METHODS: Medicaid claims data from the Transformed Medicaid Statistical Information System for the years 2017-2019 were used for the analysis. Logistic regression models estimated the odds of receiving buprenorphine and Vivitrol within 180 days after initial opioid use disorder diagnosis on the basis of race‒ethnicity. Analysis was conducted in 2022. RESULTS: Non-Hispanic Black people, non-Hispanic American Indian or Alaskan Native/Asian/Hawaiian/Pacific Islander people, and Hispanic people had 42%, 12%, and 22% lower odds of buprenorphine receipt and 47%, 12%, and 20% lower odds of Vivitrol receipt, respectively, than non-Hispanic White people, controlling for clinical and demographic patient variables. CONCLUSIONS: This study suggests that there are racial‒ethnic disparities in the receipt of buprenorphine and Vivitrol among Medicaid patients diagnosed with opioid use disorder after adjusting for demographic, geographic, and clinical characteristics. The potential strategies to address these disparities include expanding the workforce of providers who can prescribe medications for opioid use disorder in low-income communities and communities of color and allocating resources to address the stigma in medications for opioid use disorder treatment.

Rural-Urban Comparisons in the Rates of Self-Harm, U.S., 2018.

INTRODUCTION: This study compares rural and urban differences in the rates of nonfatal self-harm in the U.S. in 2018. METHODS: Nationwide Emergency Department Sample and Census data were analyzed to calculate the RR of emergency department visits for self-harm between rural and urban residents. The analyses were conducted in 2021. RESULTS: Among a weighted total of 488,000 emergency department visits for self-harm in the U.S., 80.5% were urban residents, and 18.3% were rural residents. In both settings, poisoning was the most common mechanism for self-harm, followed by cutting. Firearm-related self-harm and suffocation each accounted for <2% of total self-harm cases. Overall, the age-adjusted emergency department visit rate for self-harm was 252.3 per 100,000 for rural residents, which was 1.5 (95% CI=1.4, 1.6) times greater than the rate for urban residents (170.8 per 100,000 residents). The rates of self-harm among rural residents were higher than those of urban residents for both male and female residents, for all age groups except people aged ≥65 years, and by all mechanisms. CONCLUSIONS: Comprehensive suicide prevention strategies tailored to rural communities may mitigate the rural-urban disparity in morbidity from suicidal behavior.

Variations in Low-Risk Cesarean Delivery Rates in the United States Using the Society for Maternal-Fetal Medicine Definition.

OBJECTIVE: To assess variations in low-risk cesarean delivery rates in the United States using the Society for Maternal-Fetal Medicine (SMFM) definition of low-risk for cesarean delivery and to identify factors associated with low-risk cesarean deliveries. METHODS: From hospital discharge data in the 2018 National Inpatient Sample and State Inpatient Databases, we identified deliveries that were low-risk for cesarean delivery using the SMFM definition based on the International Classification of Diseases, Tenth Revision, Clinical Modification codes. We estimated national low-risk cesarean delivery rates overall and by patient characteristics, clinically relevant conditions not included in the SMFM definition, and hospital characteristics based on the nationally representative sample of hospital discharges in the National Inpatient Sample. Multivariate logistic regressions were estimated for the national sample to identify factors associated with low-risk cesarean delivery. We reported low-risk cesarean delivery rates for 27 states and the District of Columbia based on the annual state data that represented the universe of hospital discharges from participating states in the State Inpatient Databases. RESULTS: Of an estimated 3,634,724 deliveries in the 2018 National Inpatient Sample, 2,484,874 low-risk deliveries met inclusion criteria. The national low-risk cesarean delivery rate in 2018 was 14.6% (95% CI 14.4-14.8%). The rates varied widely by state (range 8.9-18.6%). Nationally, maternal age older than 40 years, non-Hispanic Black or Asian race, private insurance as primary payer, admission on weekday, obesity, diabetes, or hypertension, large metropolitan residence, and hospitals of the South census region were associated with low-risk cesarean delivery. CONCLUSION: Approximately one in seven low-risk deliveries was by cesarean in 2018 in the United States using the SMFM definition and the low-risk cesarean delivery rates varied widely by state.

Traumatic Brain Injury-Related Hospitalizations and Deaths in Urban and Rural Counties-2017.

STUDY OBJECTIVE: A better understanding of differences in traumatic brain injury incidence by geography may help inform resource needs for local communities. This paper presents estimates on traumatic brain injury-related hospitalizations and deaths by urban and rural county of residence. METHODS: To estimate the incidence of traumatic brain injury-related hospitalizations, data from the 2017 Healthcare Cost and Utilization Project's National Inpatient Sample were analyzed (n=295,760). To estimate the incidence of traumatic brain injury-related deaths, the Centers for Disease Control and Prevention's National Vital Statistics System multiple-cause-of-death files were analyzed (n=61,134). Datasets were stratified by residence, sex, principal mechanism of injury, and age group. Traumatic brain injury-related hospitalizations were also stratified by insurance status and hospital location. RESULTS: The rate of traumatic brain injury-related hospitalizations was significantly higher among urban (70.1 per 100,000 population) than rural residents (61.0), whereas the rate of traumatic brain injury-related deaths was significantly higher among rural (27.5) than urban residents (17.4). These patterns held for both sexes, individuals age 55 and older, and within the leading mechanisms of injury (ie, suicide, unintentional falls). Among patients with Medicare or Medicaid, the rate of traumatic brain injury-related hospitalizations was higher among urban residents; there was no urban/rural difference with other types of insurance. Nearly all (99.6%) urban residents who were hospitalized for a traumatic brain injury received care in an urban hospital. Additionally, approximately 80.3% of rural residents were hospitalized in an urban hospital. CONCLUSION: Urban residents had a higher rate of traumatic brain injury-related hospitalizations, whereas rural residents had a higher rate of traumatic brain injury-related deaths. This disparity deserves further study using additional databases that assess differences in mechanisms of injury and strategies to improve access to emergency care among rural residents.

Assessment of Annual Cost of Substance Use Disorder in US Hospitals.

Importance: A persistently high US drug overdose death toll and increasing health care use associated with substance use disorder (SUD) create urgency for comprehensive estimates of attributable direct costs, which can assist in identifying cost-effective ways to prevent SUD and help people to receive effective treatment. Objective: To estimate the annual attributable medical cost of SUD in US hospitals from the health care payer perspective. Design, Setting, and Participants: This economic evaluation of observational data used multivariable regression analysis and mathematical modeling of hospital encounter costs, controlling for patient demographic, clinical, and insurance characteristics, and compared encounters with and without secondary SUD diagnosis to statistically identify the total attributable cost of SUD. Nationally representative hospital emergency department (ED) and inpatient encounters from the 2017 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample and National Inpatient Sample were studied. Statistical analysis was performed from March to June 2020. Exposures: International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) principal or secondary SUD diagnosis on the hospital discharge record according to the Clinical Classifications Software categories (disorders related to alcohol, cannabis, hallucinogens, inhalants, opioids, sedatives, stimulants, and other substances). Main Outcomes and Measures: Annual attributable SUD medical cost in hospitals overall and by substance type (eg, alcohol). The number of encounters (ED and inpatient) with SUD diagnosis (principal or secondary) and the mean cost attributable to SUD per encounter by substance type are also reported. Results: This study examined a total of 124 573 175 hospital ED encounters and 33 648 910 hospital inpatient encounters from the 2017 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample and National Inpatient Sample. Total annual estimated attributable SUD medical cost in hospitals was $13.2 billion. By substance type, the cost ranged from $4 million for inhalant-related disorders to $7.6 billion for alcohol-related disorders. Conclusions and Relevance: This study's results suggest that the cost of effective prevention and treatment may be substantially offset by a reduction in the high direct medical cost of SUD hospital care. The findings of this study may inform the treatment of patients with SUD during hospitalization, which presents a critical opportunity to engage patients who are at high risk for overdose. Aligning incentives such that prevention cost savings accrue to payers and practitioners that are otherwise responsible for SUD-related medical costs in hospitals and other health care settings may encourage prevention investment.

Costs of Nonfatal Traumatic Brain Injury in the United States, 2016.

BACKGROUND: Traumatic brain injury (TBI) is a serious public health problem in the United States. Each year, TBIs substantially contribute to health care costs, which vary by severity. This is important to consider given the variability in recovery time by severity. RESEARCH DESIGN: This study quantifies the annual incremental health care costs of nonfatal TBI in 2016 for the US population covered by a private health insurance, Medicaid, or Medicare health plan. This study uses MarketScan and defines severity with the abbreviated injury scale for the head and neck region. Nonfatal health care costs were compared by severity. RESULTS: The estimated 2016 overall health care cost attributable to nonfatal TBI among MarketScan enrollees was $40.6 billion. Total estimated annual health care cost attributable to TBI for low severity TBIs during the first year postinjury were substantially higher than costs for middle and high severity TBIs among those with private health insurance and Medicaid. CONCLUSIONS: This study presents economic burden estimates for TBI that underscore the importance of developing strategies to prevent TBIs, regardless of severity. Although middle and high severity TBIs were more costly at the individual level, low severity TBIs, and head injuries diagnosed as "head injury unspecified" resulted in higher total estimated annual health care costs attributable to TBI.

Average medical cost of fatal and non-fatal injuries by type in the USA.

OBJECTIVE: To estimate the average medical care cost of fatal and non-fatal injuries in the USA comprehensively by injury type. METHODS: The attributable cost of injuries was estimated by mechanism (eg, fall), intent (eg, unintentional), body region (eg, head and neck) and nature of injury (eg, fracture) among patients injured from 1 October 2014 to 30 September 2015. The cost of fatal injuries was the multivariable regression-adjusted average among patients who died in hospital emergency departments (EDs) or inpatient settings as reported in the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample and National Inpatient Sample, controlling for demographic (eg, age), clinical (eg, comorbidities) and health insurance (eg, Medicaid) factors. The 1-year attributable cost of non-fatal injuries was assessed among patients with ED-treated injuries using MarketScan medical claims data. Multivariable regression models compared total medical payments (inpatient, outpatient, drugs) among non-fatal injury patients versus matched controls during the year following injury patients' ED visit, controlling for demographic, clinical and insurance factors. All costs are 2015 US dollars. RESULTS: The average medical cost of all fatal injuries was approximately $6880 and $41 570 per ED-based and hospital-based patient, respectively (range by injury type: $4764-$10 289 and $31 912-$95 295). The average attributable 1-year cost of all non-fatal injuries per person initially treated in an ED was approximately $6620 (range by injury type: $1698-$80 172). CONCLUSIONS AND RELEVANCE: Injuries are costly and preventable. Accurate estimates of attributable medical care costs are important to monitor the economic burden of injuries and help to prioritise cost-effective public health prevention activities.

Average lost work productivity due to non-fatal injuries by type in the USA.

OBJECTIVE: To estimate the average lost work productivity due to non-fatal injuries in the USA comprehensively by injury type. METHODS: The attributable average number and value of lost work days in the year following non-fatal emergency department (ED)-treated injuries were estimated by injury mechanism (eg, fall) and body region (eg, head and neck) among individuals age 18-64 with employer health insurance injured 1 October 2014 through 30 September 2015 as reported in MarketScan medical claims and Health and Productivity Management databases. Workplace, short-term disability and workers' compensation absences were assessed. Multivariable regression models compared lost work days among injury patients and matched controls during the year following injured patients' ED visit, controlling for demographic, clinical and health insurance factors. Lost work days were valued using an average US daily market production estimate. Costs are 2015 USD. RESULTS: The 1-year per-person average number and value of lost work days due to all types of non-fatal injuries combined were approximately 11 days and US$1590. The range by injury mechanism was 1.5 days (US$210) for bites and stings to 44.1 days (US$6196) for motorcycle injuries. The range by body region was 4.0 days (US$567) for other head, face and neck injuries to 19.8 days (US$2787) for traumatic brain injuries. CONCLUSIONS AND RELEVANCE: Injuries are costly and preventable. Accurate estimates of attributable lost work productivity are important to monitor the economic burden of injuries and help to prioritise cost-effective public health prevention activities.

Infant Homicides Within the Context of Safe Haven Laws - United States, 2008-2017.

Homicide is the 13th leading cause of death among infants (i.e., children aged <1 year) in the United States (1). Infant homicides occurring within the first 24 hours of life (i.e., neonaticide) are primarily perpetrated by the mother, who might be of young age, unmarried, have lower educational attainment, and is most likely associated with concealment of an unintended pregnancy and nonhospital birthing (2). After the first day of life, infant homicides might be associated with other factors (e.g., child abuse and neglect or caregiver frustration) (2). A 2002 study of the age variation in homicide risk in U.S. infants during 1989-1998 found that the overall infant homicide rate was 8.3 per 100,000 person-years, and on the first day of life was 222.2 per 100,000 person-years, a homicide rate at least 10 times greater than that for any other time of life (3). Because of this period of heightened risk, by 2008 all 50 states* and Puerto Rico had enacted Safe Haven Laws. These laws allow a parent† to legally surrender an infant who might otherwise be abandoned or endangered (4). CDC analyzed infant homicides in the United States during 2008-2017 to determine whether rates changed after nationwide implementation of Safe Haven Laws, and to examine the association between infant homicide rates and state-specific Safe Haven age limits. During 2008-2017, the overall infant homicide rate was 7.2 per 100,000 person-years, and on the first day of life was 74.0 per 100,000 person-years, representing a 66.7% decrease from 1989-1998. However, the homicide rate on first day of life was still 5.4 times higher than that for any other time in life. No obvious association was found between infant homicide rates and Safe Haven age limits. States are encouraged to evaluate the effectiveness of their Safe Haven Laws and other prevention strategies to ensure they are achieving the intended benefits of preventing infant homicides. Programs and policies that strengthen economic supports, provide affordable childcare, and enhance and improve skills for young parents might contribute to the prevention of infant homicides.

Indication-Specific Opioid Prescribing for US Patients With Medicaid or Private Insurance, 2017.

Importance: Although opioids can be effective medications in certain situations, they are associated with harms, including opioid use disorder and overdose. Studies have revealed unexplained prescribing variation and prescribing mismatched with patient-reported pain for many indications. Objective: To summarize opioid prescribing frequency, dosages, and durations, stratified across numerous painful medical indications. Design, Setting, and Participants: Retrospective cross-sectional analysis of 2017 US administrative claims data among outpatient clinical settings, including postsurgical discharge. Participants had any of 41 different indications associated with nonsurgical acute or chronic pain or postsurgical pain or pain associated with sickle cell disease or active cancer and were enrolled in either private insurance (including Medicare Advantage) in the OptumLabs Data Warehouse data set (n = 18 016 259) or Medicaid in the IBM MarketScan Multi-State Medicaid Database (n = 11 453 392). OptumLabs data were analyzed from October 2018 to March 2019; MarketScan data were analyzed from January to April 2019. Exposures: Nonsurgical acute or chronic pain or postsurgical pain; pain related to sickle cell disease or active cancer. Main Outcomes and Measures: Indication-specific opioid prescribing rates; days' supply per prescription; daily opioid dosage in morphine milligram equivalents; and for chronic pain indications, the number of opioid prescriptions. Results: During the study period, of 18 016 259 eligible patients with private insurance, the mean (95% CI) age was 42.7 (42.7-42.7) years, and 50.3% were female; of 11 453 392 eligible Medicaid enrollees, the mean (95% CI) age was 20.4 (20.4-20.4) years, and 56.1% were female. A pain-related indication under study occurred in at least 1 visit among 6 380 694 patients with private insurance (35.4%) and 3 169 831 Medicaid enrollees (27.7%); 2 270 596 (35.6% of 6 380 694) privately insured patients and 1 126 508 (35.5% of 3 169 831) Medicaid enrollees had 1 or more opioid prescriptions. Nonsurgical acute pain opioid prescribing rates were lowest for acute migraines (privately insured, 4.6% of visits; Medicaid, 6.6%) and highest for rib fractures (privately insured, 44.8% of visits; Medicaid, 56.3%), with variable days' supply but similar daily dosage across most indications. Opioid prescribing for a given chronic pain indication varied depending on a patient's opioid use history. Days' supply for postoperative prescriptions was longest for combined spinal decompression and fusion (privately insured, 9.5 days [95% CI, 9.4-9.7 days]) or spinal fusion (Medicaid, 9.1 days [95% CI, 8.9-9.2 days]) and was shortest for vaginal delivery (privately insured, 4.1 days [95% CI, 4.1-4.1 days] vs Medicaid, 4.2 days [95% CI, 4.2-4.2 days]). Conclusions and Relevance: Indication-specific opioid prescribing rates were not always aligned with existing guidelines. Potential inconsistencies between prescribing practice and clinical recommendations, such as for acute and chronic back pain, highlight opportunities to enhance pain management and patient safety.