Adults' exposure to adverse childhood experiences in the United States nationwide and in each state: modeled estimates from 2019-2020.

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.

Medical and work loss costs of violence, self-harm, unintentional and traumatic brain injuries per injured person in the USA.

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.

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.

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.

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.

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.

State-Level Economic Costs of Opioid Use Disorder and Fatal Opioid Overdose - United States, 2017.

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.

State-Level Economic Costs of Fatal Injuries - United States, 2019.

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.§.

Economic Cost of Injury - United States, 2019.

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.¶.

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.

Impact of Medicaid expansion and methadone coverage as a medication for opioid use disorder on foster care entries during the opioid crisis.

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.

Estimating the Economic Burden Related to Older Adult Falls by State.

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.

Preventing deaths and injuries from house fires: a cost-benefit analysis of a community-based smoke alarm installation programme.

BACKGROUND: Operation Installation (OI), a community-based smoke alarm installation programme in Dallas, Texas, targets houses in high-risk urban census tracts. Residents of houses that received OI installation (or programme houses) had 68% fewer medically treated house fire injuries (non-fatal and fatal) compared with residents of non-programme houses over an average of 5.2 years of follow-up during an effectiveness evaluation conducted from 2001 to 2011. OBJECTIVE: To estimate the cost-benefit of OI. METHODS: A mathematical model incorporated programme cost and effectiveness data as directly observed in OI. The estimated cost per smoke alarm installed was based on a retrospective analysis of OI expenditures from administrative records, 2006-2011. Injury incidence assumptions for a population that had the OI programme compared with the same population without the OI programme was based on the previous OI effectiveness study, 2001-2011. Unit costs for medical care and lost productivity associated with fire injuries were from a national public database. RESULTS: From a combined payers' perspective limited to direct programme and medical costs, the estimated incremental cost per fire injury averted through the OI installation programme was $128,800 (2013 US$). When a conservative estimate of lost productivity among victims was included, the incremental cost per fire injury averted was negative, suggesting long-term cost savings from the programme. The OI programme from 2001 to 2011 resulted in an estimated net savings of $3.8 million, or a $3.21 return on investment for every dollar spent on the programme using a societal cost perspective. CONCLUSIONS: Community smoke alarm installation programmes could be cost-beneficial in high-fire-risk neighbourhoods.

Cost-Benefit Analysis of Two Child Abuse and Neglect Primary Prevention Programs for US States.

We assessed the US state-level budget and societal impact of implementing two child abuse and neglect (CAN) primary prevention programs. CAN cost estimates and data from two prevention programs (Child-Parent Centers and Nurse-Family Partnership) were combined with current population, cost, and CAN incidence data by US state. A cost-benefit mathematical model for each program by US state compared program costs with the future monetary value of benefits from reduced CAN. The models used a lifetime time horizon from government payer and societal perspectives. Both programs could potentially avert CAN among tens of thousands of children across the country. Lower costs from reduced CAN may substantially offset, but not always entirely eliminate, payers' program implementation cost. Results are sensitive to the rate of CAN in each US state. Given the considerable lifetime societal cost of CAN, including victims' lost work productivity, the programs were cost saving from the societal perspective in all US states using base case methods. This analysis represents an overall minimum return on payers' investment because averted CAN is just one of many positive health and educational outcomes associated with these programs and non-monetary benefits from reduced CAN were not included. Translating cost and effectiveness research on injury prevention programs for local conditions might increase decision makers' adoption of effective programs.

Lifetime Cost of Abusive Head Trauma at Ages 0-4, USA.

This paper aims to estimate lifetime costs resulting from abusive head trauma (AHT) in the USA and the break-even effectiveness for prevention. A mathematical model incorporated data from Vital Statistics, the Healthcare Cost and Utilization Project Kids' Inpatient Database, and previous studies. Unit costs were derived from published sources. From society's perspective, discounted lifetime cost of an AHT averages $5.7 million (95% CI $3.2-9.2 million) for a death. It averages $2.6 million (95% CI $1.0-2.9 million) for a surviving AHT victim including $224,500 for medical care and related direct costs (2010 USD). The estimated 4824 incident AHT cases in 2010 had an estimated lifetime cost of $13.5 billion (95% CI $5.5-16.2 billion) including $257 million for medical care, $552 million for special education, $322 million for child protective services/criminal justice, $2.0 billion for lost work, and $10.3 billion for lost quality of life. Government sources paid an estimated $1.3 billion. Out-of-pocket benefits of existing prevention programming would exceed its costs if it prevents 2% of cases. When a child survives AHT, providers and caregivers can anticipate a lifetime of potentially costly and life-threatening care needs. Better effectiveness estimates are needed for both broad prevention messaging and intensive prevention targeting high-risk caregivers.

State-Level Lifetime Medical and Work-Loss Costs of Fatal Injuries - United States, 2014.

Injury-associated deaths have substantial economic consequences in the United States. The total estimated lifetime medical and work-loss costs associated with fatal injuries in 2013 were $214 billion (1). In 2014, unintentional injury, suicide, and homicide (the fourth, tenth, and seventeenth leading causes of death, respectively) accounted for 194,635 deaths in the United States (2). In 2014, a total of 199,756 fatal injuries occurred in the United States, and the associated lifetime medical and work-loss costs were $227 billion (3). This report examines the state-level economic burdens of fatal injuries by extending a previous national-level study (1). Numbers and rates of fatal injuries, lifetime costs, and lifetime costs per capita were calculated for each of the 50 states and the District of Columbia (DC) and for four injury intent categories (all intents, unintentional, suicide, and homicide). During 2014, injury mortality rates and economic burdens varied widely among the states and DC. Among fatal injuries of all intents, the mortality rate and lifetime costs per capita ranged from 101.9 per 100,000 and $1,233, respectively (New Mexico) to 40.2 per 100,000 and $491 (New York). States can engage more effectively and efficiently in injury prevention if they are aware of the economic burden of injuries, identify areas for immediate improvement, and devote necessary resources to those areas.

The Economic Burden of Prescription Opioid Overdose, Abuse, and Dependence in the United States, 2013.

IMPORTANCE: It is important to understand the magnitude and distribution of the economic burden of prescription opioid overdose, abuse, and dependence to inform clinical practice, research, and other decision makers. Decision makers choosing approaches to address this epidemic need cost information to evaluate the cost effectiveness of their choices. OBJECTIVE: To estimate the economic burden of prescription opioid overdose, abuse, and dependence from a societal perspective. DESIGN, SETTING, AND PARTICIPANTS: Incidence of fatal prescription opioid overdose from the National Vital Statistics System, prevalence of abuse and dependence from the National Survey of Drug Use and Health. Fatal data are for the US population, nonfatal data are a nationally representative sample of the US civilian noninstitutionalized population ages 12 and older. Cost data are from various sources including health care claims data from the Truven Health MarketScan Research Databases, and cost of fatal cases from the WISQARS (Web-based Injury Statistics Query and Reporting System) cost module. Criminal justice costs were derived from the Justice Expenditure and Employment Extracts published by the Department of Justice. Estimates of lost productivity were based on a previously published study. EXPOSURE: Calendar year 2013. MAIN OUTCOMES AND MEASURES: Monetized burden of fatal overdose and abuse and dependence of prescription opioids. RESULTS: The total economic burden is estimated to be $78.5 billion. Over one third of this amount is due to increased health care and substance abuse treatment costs ($28.9 billion). Approximately one quarter of the cost is borne by the public sector in health care, substance abuse treatment, and criminal justice costs. CONCLUSIONS AND RELEVANCE: These estimates can assist decision makers in understanding the magnitude of adverse health outcomes associated with prescription opioid use such as overdose, abuse, and dependence.

Changes in the medical management of patients on opioid analgesics following a diagnosis of substance abuse.

PURPOSE: When providers recognize that patients are abusing prescription drugs, review of the drugs they are prescribed and attempts to treat the substance use disorder are warranted. However, little is known about whether prescribing patterns change following such a diagnosis. METHODS: We used national longitudinal health claims data from the Market Scan® commercial claims database for January 2010-June 2011. We used a cohort of 1.85 million adults 18-64 years old prescribed opioid analgesics but without abuse diagnoses during a 6-month "preabuse" period. We identified a subset of 9009 patients receiving diagnoses of abuse of non-illicit drugs (abuse group) during a 6-month "abuse" period and compared them with patients without such a diagnosis (nonabuse group) during both the abuse period and a subsequent 6-month "postabuse" period. RESULTS: During the abuse period 5.78% of the abuse group and 0.14% of the nonabuse group overdosed. Overdose rates declined to 2.12% in the abuse group in the postabuse period. Opioid prescribing rates declined 13.5%, and benzodiazepine rates declined 12.3% in the abuse group in the post-abuse period. Antidepressants and gabapentin were prescribed to roughly one half and one quarter of the abuse group, respectively, during all three periods. Daily opioid dosage did not decline in the abuse group following diagnosis. CONCLUSIONS: Prescribing to people who abuse drugs changes little after their abuse is documented. Actions such as tapering opioid and benzodiazepine prescriptions, maximizing alternative treatments for pain, and greater use of medication-assisted treatment such as buprenorphine could help reduce risk in this population. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

Professional Fee Ratios for US Hospital Discharge Data.

BACKGROUND: US hospital discharge datasets typically report facility charges (ie, room and board), excluding professional fees (ie, attending physicians' charges). OBJECTIVES: We aimed to estimate professional fee ratios (PFR) by year and clinical diagnosis for use in cost analyses based on hospital discharge data. SUBJECTS: The subjects consisted of a retrospective cohort of Truven Health MarketScan 2004-2012 inpatient admissions (n=23,594,605) and treat-and-release emergency department (ED) visits (n=70,771,576). MEASURES: PFR per visit was assessed as total payments divided by facility-only payments. RESEARCH DESIGN: Using ordinary least squares regression models controlling for selected characteristics (ie, patient age, comorbidities, etc.), we calculated adjusted mean PFR for admissions by health insurance type (commercial or Medicaid) per year overall and by Major Diagnostic Category (MDC), Diagnostic Related Group, Healthcare Cost and Utilization Project Clinical Classification Software, and primary International Classification of Diseases, 9th Edition, Clinical Modification (ICD-9-CM) diagnosis, and for ED visits per year overall and by MDC and primary ICD-9-CM diagnosis. RESULTS: Adjusted mean PFR for 2012 admissions, including preceding ED visits, was 1.264 (95% CI, 1.264, 1.265) for commercially insured admissions (n=2,614,326) and 1.177 (1.176, 1.177) for Medicaid admissions (n=816,503), indicating professional payments increased total per-admission payments by an average 26.4% and 17.7%, respectively, above facility-only payments. Adjusted mean PFR for 2012 ED visits was 1.286 (1.286, 1.286) for commercially insured visits (n=8,808,734) and 1.440 (1.439, 1.440) for Medicaid visits (n=2,994,696). Supplemental tables report 2004-2012 annual PFR estimates by clinical classifications. CONCLUSIONS: Adjustments for professional fees are recommended when hospital facility-only financial data from US hospital discharge datasets are used to estimate health care costs.

Estimated Lifetime Medical and Work-Loss Costs of Fatal Injuries--United States, 2013.

Injury-associated deaths have substantial economic consequences. In 2013, unintentional injury was the fourth leading cause of death, suicide was the tenth, and homicide was the sixteenth; these three causes accounted for approximately 187,000 deaths in the United States. To assess the economic impact of fatal injuries, CDC analyzed death data from the National Vital Statistics System for 2013, along with cost of injury data using the Web-Based Injury Statistics Query and Reporting System. This report updates a previous study that analyzed death data from the year 2000, and employs recently revised methodology for determining the costs of injury outcomes, which uses the most current economic data and incorporates improvements for estimating medical costs associated with injury. Number of deaths, crude and age-specific death rates, and total lifetime work-loss costs and medical costs were calculated for fatal injuries by sex, age group, intent (intentional versus unintentional), and mechanism of injury. During 2013, the rate of fatal injury was 61.0 per 100,000 population, with combined medical and work-loss costs exceeding $214 billion. Costs from fatal injuries represent approximately one third of the total $671 billion medical and work-loss costs associated with all injuries in 2013. The magnitude of the economic burden associated with injury-associated deaths underscores the need for effective prevention.