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OBJECTIVE: Injuries and poisoning are leading causes of US morbidity and mortality. This study aimed to update medical and work loss cost estimates per injured person. METHODS: Injuries treated in emergency departments (ED) during 2019-2020 were analysed in terms of mechanism (eg, fall) and intent (eg, unintentional), as well as traumatic brain injury (TBI) (multiple mechanisms and intents). Fatal injury medical spending was based on the Nationwide Emergency Department Sample and National Inpatient Sample. Non-fatal injury medical spending and workplace absences (general, short-term disability and workers' compensation) were analysed among injury patients with commercial insurance or Medicaid and matched controls during the year following an injury ED visit using MarketScan databases. RESULTS: Medical spending for injury deaths in hospital EDs and inpatient settings averaged US$4777 (n=57 296) and US$45 678 per fatality (n=89 175) (2020 USD). Estimates for fatal TBI were US$5052 (n=5363) and US$47 952 (n=37 184). People with ED treat and release visits for non-fatal injuries had on average US$5798 (n=895 918) in attributable medical spending and US$1686 (11 missed days) (n=116 836) in work loss costs during the following year, while people with non-fatal injuries who required hospitalisation after an ED injury visit had US$52 246 (n=32 976) in medical spending and US$7815 (51 days) (n=4473) in work loss costs. Estimates for non-fatal TBI were US$4529 (n=25 792), US$1503 (10 days) (n=1631), US$51 241 (n=3030) and US$6110 (40 days) (n=246). CONCLUSIONS AND RELEVANCE: Per person costs of injuries and violence are important to monitor the economic burden of injuries and assess the value of prevention strategies.
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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.
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Acidentes por Quedas , Gastos em Saúde , Medicare , Humanos , Acidentes por Quedas/economia , Acidentes por Quedas/estatística & dados numéricos , Acidentes por Quedas/prevenção & controle , Estados Unidos/epidemiologia , Idoso , Gastos em Saúde/estatística & dados numéricos , Masculino , Feminino , Medicare/economia , Idoso de 80 Anos ou maisRESUMO
INTRODUCTION: Although adverse childhood experiences (ACEs) are associated with lifelong health harms, current surveillance data on exposures to childhood adversity among adults are either unavailable or incomplete for many states. In this study, recent data from a nationally representative survey were used to obtain the current and complete estimates of ACEs at the national and state levels. METHODS: Current, complete, by-state estimates of adverse childhood experiences were obtained by applying small area estimation technique to individual-level data on adults aged ≥18 years from 2019-2020 Behavioral Risk Factor Surveillance System survey. The standardized questions about childhood adversity included in the 2019-2020 survey allowed for obtaining estimates of ACE consistent across states. All missing responses to childhood adversity questions (states did not offer such questions or offered them to only some respondents; respondents skipped questions) were predicted through multilevel mixed-effects logistic small area estimation regressions. The analyses were conducted between October 2022 and May 2023. RESULTS: An estimated 62.8% of U.S. adults had past exposure to ACEs (range: 54.9% in Connecticut; 72.5% in Maine). Emotional abuse (34.5%) was the most common; household member incarceration (10.6%) was the least common. Sexual abuse varied markedly between females (22.2%) and males (5.4%). Exposure to most types of adverse childhood experiences was lowest for adults who were non-Hispanic White, had the highest level of education (college degree) or income (annual income ≥$50,000), or had access to a personal healthcare provider. CONCLUSIONS: Current complete estimates of ACEs demonstrate high countrywide exposures and stark sociodemographic inequalities in the burden, highlighting opportunities to prevent adverse childhood experiences by focusing social, educational, medical, and public health interventions on populations disproportionately impacted.
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Experiências Adversas da Infância , Sistema de Vigilância de Fator de Risco Comportamental , Humanos , Experiências Adversas da Infância/estatística & dados numéricos , Feminino , Masculino , Adulto , Estados Unidos/epidemiologia , Pessoa de Meia-Idade , Adolescente , Adulto Jovem , IdosoRESUMO
BACKGROUND: Although preventable, adverse childhood experiences (ACEs) can result in lifelong health harms. Current surveillance data on adults' exposure to ACEs are either unavailable or incomplete for many U.S. states. METHODS: Current estimates of the proportion of U.S. adults with past ACEs exposures were obtained by analysing individual-level data from 2019 to 2020 Behavioural Risk Factor Surveillance System-annual nationally representative survey of noninstitutionalized adults aged 18+years. Standardised questions measuring ACEs exposures (presence of household member with mental illness, substance abuse, or incarceration; parental separation; witnessing intimate partner violence; experiencing physical, emotional, or sexual abuse during childhood) were categorised into 0, 1, 2-3, or 4+ACEs and reported by sociodemographic group in each state. Missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondent skipped questions) were modelled through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL regressions. RESULTS: In 2019-2020, an estimated 62.8% of U.S. adults had past exposure to 1+ACEs (range: 54.9% in Connecticut; 72.5% in Maine), including 22.4% of adults who were exposed to 4+ACEs (range: 11.9% in Connecticut; 32.8% in Nevada). At the national and state levels, exposure to 4+ACEs was highest among adults aged 18-34 years, those who did not graduate from high school, or adults who did not have a healthcare provider. Racial/ethnic distribution of adults exposed to 4+ACEs varied by age and state. CONCLUSIONS: ACEs are common but not equally distributed. ACEs exposures estimated by state and sociodemographic group can help decisionmakers focus public health interventions on populations disproportionately impacted in their area.
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Experiências Adversas da Infância , Sistema de Vigilância de Fator de Risco Comportamental , Humanos , Estados Unidos/epidemiologia , Adulto , Feminino , Masculino , Experiências Adversas da Infância/estatística & dados numéricos , Pessoa de Meia-Idade , Adulto Jovem , Adolescente , IdosoRESUMO
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.
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Armas de Fogo , Ferimentos por Arma de Fogo , Pessoa de Meia-Idade , Masculino , Humanos , Estados Unidos/epidemiologia , Ferimentos por Arma de Fogo/epidemiologia , Vigilância da População , Saúde Pública , Custos de Cuidados de SaúdeRESUMO
Importance: Adverse childhood experiences (ACEs) are preventable, potentially traumatic events in childhood, such as experiencing abuse or neglect, witnessing violence, or living in a household with substance use disorder, mental health problems, or instability from parental separation or incarceration. Adults who had ACEs have more harmful risk behaviors and worse health outcomes; the economic burden associated with these issues is uncertain. Objective: To estimate the economic burden of ACE-associated health conditions among US adults. Design, Setting, and Participants: In this economic evaluation, regression models of cross-sectional survey data from the 2019-2020 Behavioral Risk Factor Surveillance System (BRFSS) and previous studies were used to estimate ACE population-attributable fractions (PAFs) (ie, the fraction of total cases associated with a specific exposure) for selected health outcomes (anxiety, arthritis, asthma, cancer, chronic obstructive pulmonary disease, depression, diabetes, heart disease, kidney disease, stroke, and violence) and risk factors (heavy drinking, illicit drug use, overweight and obesity, and smoking) among the 2019 US adult population. Adverse childhood experience PAFs were used to calculate the proportion of total condition-specific medical spending and lost healthy life-years related to ACEs using Global Burden of Disease Study data. Data analysis was performed from September 10, 2021, to November 29, 2022. Exposure: Adverse childhood experiences (age <18 years). Main Outcomes and Measures: Monetary valuation of ACE-associated morbidity and mortality using standard US value of statistical life methods and presented in terms of annual and lifetime per affected person and total population estimates at the national and state levels. Results: A total of 820 673 adults, representing 255 million individuals, participated in the BRFSS in 2019 and 2020. An estimated 160 million of the total 255 million US adult population (63%) had 1 or more ACE, associated with an annual economic burden of $14.1 trillion ($183 billion in direct medical spending and $13.9 trillion in lost healthy life-years). This was $88â¯000 per affected adult annually and $2.4 million over their lifetimes. The lifetime economic burden per affected adult was lowest in North Dakota ($1.3 million) and highest in Arkansas ($4.3 million). Twenty-two percent of adults had 4 or more ACEs and comprised 58% of the total economic burden-the estimated per person lifetime economic burden for those adults was $4.0 million. Conclusions and Relevance: In this cross-sectional analysis of the US adult population, the economic burden of ACE-related health conditions was substantial. The findings suggest that measuring the economic burden of ACEs can support decision-making about investing in strategies to improve population health.
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Experiências Adversas da Infância , Adulto , Humanos , Criança , Adolescente , Estudos Transversais , Estresse Financeiro , Violência , AnsiedadeRESUMO
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.
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Grupos Diagnósticos Relacionados , Hospitalização , Estados Unidos , Humanos , Serviço Hospitalar de Emergência , Custos Hospitalares , HospitaisRESUMO
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.
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Crime , Direito Penal , Humanos , PolíciaRESUMO
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.
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Serviço Hospitalar de Emergência , Qualidade de Vida , Análise Custo-Benefício , Humanos , Intenção , Anos de Vida Ajustados por Qualidade de VidaRESUMO
Unintentional and violence-related injury fatalities, including suicide, homicide, overdoses, motor vehicle crashes, and falls, were among the 10 leading causes of death for all age groups in the United States in 2019.* There were 246,041 injury deaths in 2019 (unintentional injury was the most frequent cause of death after heart disease and cancer) with an economic cost of $2.2 trillion (1). Extending a national analysis (1), CDC examined state-level economic costs of fatal injuries based on medical care costs and the value of statistical life assigned to 2019 injury records from the CDC's Web-based Injury Statistics Query and Reporting System (WISQARS). West Virginia had the highest per capita cost ($11,274) from fatal injury, more than twice that of New York, the state with the lowest cost ($4,538). The five areas with the highest per capita total fatal injury costs were West Virginia, New Mexico, Alaska, District of Columbia (DC), and Louisiana; costs were lowest in New York, California, Minnesota, Nebraska, and Texas. All U.S. states face substantial avoidable costs from injury deaths. Individual persons, families, organizations, communities, and policymakers can use targeted proven strategies to prevent injuries and violence. Resources for best practices for preventing injuries and violence are available online from the CDC's National Center for Injury Prevention and Control.§.
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Efeitos Psicossociais da Doença , Ferimentos e Lesões/economia , Ferimentos e Lesões/mortalidade , Adolescente , Adulto , Idoso , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , Estados Unidos/epidemiologia , Adulto JovemRESUMO
Unintentional and violence-related injuries, including suicide, homicide, overdoses, motor vehicle crashes, and falls, were among the top 10 causes of death for all age groups in the United States and caused nearly 27 million nonfatal emergency department (ED) visits in 2019.*, CDC estimated the economic cost of injuries that occurred in 2019 by assigning costs for medical care, work loss, value of statistical life, and quality of life losses to injury records from the CDC's Web-based Injury Statistics Query and Reporting System (WISQARS).§ In 2019, the economic cost of injury was $4.2 trillion, including $327 billion in medical care, $69 billion in work loss, and $3.8 trillion in value of statistical life and quality of life losses. More than one half of this cost ($2.4 trillion) was among working-aged adults (aged 25-64 years). Individual persons, families, organizations, communities, and policymakers can use targeted proven strategies to prevent injuries and violence. Resources for best practices for preventing injuries and violence are available online from CDC's National Center for Injury Prevention and Control.¶.
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Efeitos Psicossociais da Doença , Ferimentos e Lesões/economia , Adolescente , Adulto , Idoso , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , Estados Unidos/epidemiologia , Ferimentos e Lesões/epidemiologia , Adulto JovemRESUMO
Approximately 47,000 persons in the United States died from an opioid-involved overdose in 2018 (1), and 2.0 million persons met the diagnostic criteria for an opioid use disorder in 2017 (2). The economic cost of the U.S. opioid epidemic in 2017 was estimated at $1,021 billion, including cost of opioid use disorder estimated at $471 billion and cost of fatal opioid overdose estimated at $550 billion (3). CDC used national-level cost estimates to estimate the state-level economic cost of opioid use disorder and fatal opioid overdose during 2017. Cases and costs of state-level opioid use disorder and fatal opioid overdose and per capita costs were calculated for each of the 38 states and the District of Columbia (DC) that met drug specificity requirements for mortality data (4). Combined costs of opioid use disorder and fatal opioid overdose (combined costs) varied substantially, ranging from $985 million in Wyoming to $72,583 million in Ohio. Per capita combined costs also varied considerably, ranging from $1,204 in Hawaii to $7,247 in West Virginia. States with high per capita combined costs were mainly in two regions: the Ohio Valley and New England. Federal and state public health agencies can use these data to help guide decisions regarding research, prevention and response activities, and resource allocation.
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Efeitos Psicossociais da Doença , Overdose de Opiáceos/economia , Overdose de Opiáceos/mortalidade , Transtornos Relacionados ao Uso de Opioides/economia , Humanos , Estados Unidos/epidemiologiaRESUMO
Between 2012 and 2018, incidents of opioid-involved injuries surged and the number of children in foster care due to parental drug use disorder increased. Treatments for opioid use disorder (OUD) might prevent or reduce the amount of time that children spend in the child welfare system. Using administrative data, we examined the impact of Medicaid expansion and state support for methadone as a medication for opioid use disorder (MOUD) on first-time foster care placements. Results show that first-time foster care entries due to parental drug use disorder experienced a reduction of 28 per 100,000 children in Medicaid expansion states with methadone MOUD covered by their state Medicaid programs. The largest reduction was found among non-Hispanic Black children and the youngest children (age 0-1 years). Policies that increase OUD treatment access may reduce foster care placements by reducing parents' drug use, a risk factor for child abuse/neglect and subsequent home removal.
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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.
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Serviço Hospitalar de Emergência , Custos de Cuidados de Saúde , Acidentes por Quedas , Humanos , Seguro Saúde , Medicaid , Estados Unidos/epidemiologiaRESUMO
BACKGROUND: The United States (U.S.) is experiencing an ongoing opioid crisis. Economic burden estimates that describe the impact of the crisis are needed when considering federal and state resources devoted to addressing overdoses. In this study, we estimate the societal costs for opioid use disorder and fatal overdose from all opioids in 2017. METHODS: We estimated costs of fatal overdose from all opioids and opioid use disorder based on the incidence of overdose deaths and the prevalence of past-year opioid use disorder for 2017. Incidence of fatal opioid overdose was obtained from the National Vital Statistics System; prevalence of past-year opioid use disorder was estimated from the National Survey of Drug Use and Health. Costs were estimated for health care, criminal justice and lost productivity. Costs for the reduced quality of life for opioid use disorder and life lost due to fatal opioid overdose were valued using U.S. Department of Health and Human Services guidelines for valuing reductions in morbidity and mortality. RESULTS: Costs for opioid use disorder and fatal opioid overdose in 2017 were estimated to be $1.02 trillion. The majority of the economic burden is due to reduced quality of life from opioid use disorder and the value of life lost due to fatal opioid overdose. CONCLUSIONS: These estimates can assist decision makers in understanding the magnitude of opioid use disorder and fatal overdose. Knowing the magnitude and distribution of the economic burden can inform public policy, clinical practice, research, and prevention and response activities.
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Overdose de Opiáceos/economia , Transtornos Relacionados ao Uso de Opioides/economia , Analgésicos Opioides/intoxicação , Efeitos Psicossociais da Doença , Direito Penal , Atenção à Saúde , Overdose de Drogas/economia , Overdose de Drogas/epidemiologia , Humanos , Overdose de Opiáceos/epidemiologia , Epidemia de Opioides , Transtornos Relacionados ao Uso de Opioides/epidemiologia , Prevalência , Qualidade de Vida , Estados Unidos/epidemiologiaRESUMO
OBJECTIVE: To classify and compare US nationwide opioid-related hospital inpatient discharges over time by discharge type: 1) opioid use disorder (OUD) diagnosis without opioid overdose, detoxification, or rehabilitation services, 2) opioid overdose, 3) OUD diagnosis or opioid overdose with detoxification services, and 4) OUD diagnosis or opioid overdose with rehabilitation services. METHODS: Survey-weighted national analysis of hospital discharges in the Healthcare Cost and Utilization Project National Inpatient Sample yielded age-adjusted annual rates per 100,000 population. Annual percentage change (APC) in the rate of opioid-related discharges by type during 1993-2016 was assessed. RESULTS: The annual rate of hospital discharges documenting OUD without opioid overdose, detoxification, or rehabilitation services quadrupled during 1993-2016, and at an increased rate (8% annually) during 2003-2016. The discharge rate for all types of opioid overdose increased an average 5-9% annually during 1993-2010; discharges for non-heroin overdoses declined 2010-2016 (3-12% annually) while heroin overdose discharges increased sharply (23% annually). The rate of discharges including detoxification services among OUD and overdose patients declined (-4% annually) during 2008-2016 and rehabilitation services (e.g., counselling, pharmacotherapy) among those discharges decreased (-2% annually) during 1993-2016. CONCLUSIONS: Over the past two decades, the rate of both OUD diagnoses and opioid overdoses increased substantially in US hospitals while rates of inpatient detoxification and rehabilitation services identified by diagnosis codes declined. It is critical that inpatients diagnosed with OUD or treated for opioid overdose are linked effectively to substance use disorder treatment at discharge.
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Centros Comunitários de Saúde/estatística & dados numéricos , Overdose de Drogas/terapia , Pacientes Internados/estatística & dados numéricos , Serviços de Saúde Mental/estatística & dados numéricos , Transtornos Relacionados ao Uso de Opioides/terapia , Alta do Paciente/estatística & dados numéricos , Adulto , Overdose de Drogas/epidemiologia , Overdose de Drogas/reabilitação , Pesquisa sobre Serviços de Saúde , Humanos , Transtornos Relacionados ao Uso de Opioides/epidemiologia , Transtornos Relacionados ao Uso de Opioides/reabilitação , Estados Unidos/epidemiologiaRESUMO
OBJECTIVE: Unintentional falls in older adults (persons 65 years of age and older) impose a significant economic burden on the health care system. Methods for calculating state-specific health care costs are limited. This study describes 2 methods to estimate state-level direct medical spending due to older adult falls and explains their differences, advantages, and limitations. DESIGN: The first method, partial attributable fraction, applied a national attributable fraction to the total state health expenditure accounts in 2014 by payer type (Medicare, Medicaid, and private insurance). The second method, count applied to cost, obtained 2014 state counts of older adults treated and released from an emergency department and hospitalized because of a fall injury. The counts in each state were multiplied by the national average lifetime medical costs for a fall-related injury from the Web-based Injury Statistics Query and Reporting System. Costs are reported in 2014 US dollars. SETTING: United States. PARTICIPANTS: Older adults. MAIN OUTCOME MEASURE: Health expenditure on older adult falls by state. RESULTS: The estimate from the partial attributable fraction method was higher than the estimate from the count applied to cost method for all states compared, except Utah. Based on the partial attributable fraction method, in 2014, total personal health care spending for older adult falls ranged from $48 million in Alaska to $4.4 billion in California. Medicare spending attributable to older adult falls ranged from $22 million in Alaska to $3.0 billion in Florida. For the count applied to cost method, available for 17 states, the lifetime medical costs of 2014 fall-related injuries ranged from $68 million in Vermont to $2.8 billion in Florida. CONCLUSIONS: The 2 methods offer states options for estimating the economic burden attributable to older adult fall injuries. These estimates can help states make informed decisions about how to allocate funding to reduce falls and promote healthy aging.
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Acidentes por Quedas/economia , Efeitos Psicossociais da Doença , Custos de Cuidados de Saúde/estatística & dados numéricos , Acidentes por Quedas/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Feminino , Custos de Cuidados de Saúde/classificação , Humanos , Masculino , Medicare/economia , Medicare/estatística & dados numéricos , Estados UnidosRESUMO
Child maltreatment incurs a high lifetime cost per victim and creates a substantial US population economic burden. This study aimed to use the most recent data and recommended methods to update previous (2008) estimates of 1) the per-victim lifetime cost, and 2) the annual US population economic burden of child maltreatment. Three ways to update the previous estimates were identified: 1) apply value per statistical life methodology to value child maltreatment mortality, 2) apply monetized quality-adjusted life years methodology to value child maltreatment morbidity, and 3) apply updated estimates of the exposed population. As with the previous estimates, the updated estimates used the societal cost perspective and lifetime horizon, but also accounted for victim and community intangible costs. Updated methods increased the estimated nonfatal child maltreatment per-victim lifetime cost from $210,012 (2010 USD) to $830,928 (2015 USD) and increased the fatal per-victim cost from $1.3 to $16.6 million. The estimated US population economic burden of child maltreatment based on 2015 substantiated incident cases (482,000 nonfatal and 1670 fatal victims) was $428 billion, representing lifetime costs incurred annually. Using estimated incidence of investigated annual incident cases (2,368,000 nonfatal and 1670 fatal victims), the estimated economic burden was $2 trillion. Accounting for victim and community intangible costs increased the estimated cost of child maltreatment considerably compared to previous estimates. The economic burden of child maltreatment is substantial and might off-set the cost of evidence-based interventions that reduce child maltreatment incidence.
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Maus-Tratos Infantis/economia , Efeitos Psicossociais da Doença , Criança , Maus-Tratos Infantis/estatística & dados numéricos , Custos de Cuidados de Saúde , Humanos , Incidência , Anos de Vida Ajustados por Qualidade de Vida , Estados Unidos/epidemiologiaRESUMO
INTRODUCTION: This study estimated the U.S. lifetime per-victim cost and economic burden of intimate partner violence. METHODS: Data from previous studies were combined with 2012 U.S. National Intimate Partner and Sexual Violence Survey data in a mathematical model. Intimate partner violence was defined as contact sexual violence, physical violence, or stalking victimization with related impact (e.g., missed work days). Costs included attributable impaired health, lost productivity, and criminal justice costs from the societal perspective. Mean age at first victimization was assessed as 25 years. Future costs were discounted by 3%. The main outcome measures were the mean per-victim (female and male) and total population (or economic burden) lifetime cost of intimate partner violence. Secondary outcome measures were marginal outcome probabilities among victims (e.g., anxiety disorder) and associated costs. Analysis was conducted in 2017. RESULTS: The estimated intimate partner violence lifetime cost was $103,767 per female victim and $23,414 per male victim, or a population economic burden of nearly $3.6 trillion (2014 US$) over victims' lifetimes, based on 43 million U.S. adults with victimization history. This estimate included $2.1 trillion (59% of total) in medical costs, $1.3 trillion (37%) in lost productivity among victims and perpetrators, $73 billion (2%) in criminal justice activities, and $62 billion (2%) in other costs, including victim property loss or damage. Government sources pay an estimated $1.3 trillion (37%) of the lifetime economic burden. CONCLUSIONS: Preventing intimate partner violence is possible and could avoid substantial costs. These findings can inform the potential benefit of prioritizing prevention, as well as evaluation of implemented prevention strategies.
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Efeitos Psicossociais da Doença , Vítimas de Crime/estatística & dados numéricos , Direito Penal/economia , Custos de Cuidados de Saúde/estatística & dados numéricos , Violência por Parceiro Íntimo/economia , Adulto , Direito Penal/estatística & dados numéricos , Eficiência , Feminino , Humanos , Violência por Parceiro Íntimo/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Perseguição/psicologia , Inquéritos e QuestionáriosRESUMO
BACKGROUND: Understanding more about circumstances in which patients receive an opioid use disorder (OUD) diagnosis might illuminate opportunities for intervention and ultimately prevent opioid overdoses. This study aimed to describe patient and clinical characteristics of hospital discharges documenting OUD among patients not being treated for opioid overdose, detoxification, or rehabilitation. METHODS: We assessed patient, payer, and clinical characteristics of nationally-representative 2011-2015 National Inpatient Sample discharges documenting OUD, excluding opioid overdose, detoxification, and rehabilitation. Discharges were clinically classified by Diagnostic Related Group (DRG) for analysis. RESULTS: Annual discharges grew 38%, from 347,137 (2011) to 478,260 (2015), totaling 2 million discharges during the study period. The annual discharge rate increased among all racial/ethnic groups, but was highest among the non-Hispanic black population until 2015, when non-Hispanic whites had a slightly higher rate (164 versus 162 per 100,000 population). Female patients and Medicaid and Medicare as primary payer accounted for an increasing annual proportion of discharges. Just 14 DRGs accounted for nearly 50% of discharges over the study period. The most prevalent primary treatment received during OUD inpatient stays was for psychoses (DRG 885; 16% of discharges) and drug and alcohol abuse or dependence symptoms (including withdrawal) or (non-opioid) poisoning (DRG 894, 897, 917, 918; 12% of discharges). CONCLUSIONS: Now nearly half a million yearly US hospital discharges for a range of primary treatment include patients' diagnosis of OUD without opioid overdose, detoxification, or rehabilitation services. Inpatient stays present an important opportunity to link OUD patients to treatment to reduce opioid-related morbidity and mortality.