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.

Nonfatal Firearm Injuries by Intent in the United States: 2016-2018 Hospital Discharge Records from the Healthcare Cost and Utilization Project.

INTRODUCTION: In addition to the nearly 40,000 firearm deaths each year, nonfatal firearm injuries represent a significant public health burden to communities in the United States. We aimed to describe the incidence and rates of nonfatal firearm injuries. METHODS: We calculated nonfatal firearm injury estimates using the Healthcare Cost and Utilization Project of the Agency for Healthcare Research and Quality, including the Nationwide Emergency Department Samples and the National Inpatient Samples. We used the International Classification of Diseases, 10th Revision, Clinical Modification to identify firearm injury episodes. Deaths in the emergency department (ED) or as inpatients were excluded. RESULTS: In addition to the 118,171 persons shot and killed by firearms from 2016-2018, 228,380 people were shot (ratio 1.9:1) and treated at a hospital ED or admitted to hospital, a rate of 23.4 nonfatal firearm injury episodes per 100,000 population. The number of nonfatal injury episodes varied by year: 2018 had the lowest at 69,692, compared to 84,776 in 2017 and 73,912 in 2016. Unintentional injury episodes were the most frequent, accounting for 58.5% (n = 81,217) and 38.9% (n = 34,820) of total nonfatal firearm hospital discharges from the ED and inpatients, respectively. Assault episodes were the next most frequent, at 36.3% (n = 50,482) of ED and 49.5% (n = 44,290) of inpatient discharges. The highest rate of nonfatal firearm injury by five-year age group was for 20- to 24-year-olds. With an annual rate of 73.53 per 100,000 population, the rates for ages 20-24 were more than 10 times higher than the rates for patients younger than 15 or 60 years and older. More than half (53.4%, n = 121,884) of hospital-treated, nonfatal firearm injury episodes were patients living in ZIP codes with a median household income in the lowest quartile, compared to 7.5% (n = 17,102) for patients residing in the highest income quartile ZIP codes, a sevenfold difference. CONCLUSION: For every person shot and killed by a gun in the US, two more are wounded. Unlike firearm deaths, which are predominantly suicides, most nonfatal firearm injury episodes are unintentional or with an assault intent. Having a reliable source of nonfatal injury data is essential to understanding the incidence of firearm injuries.

Incidence and Lethality of Suicidal Overdoses by Drug Class.

Importance: Prior lethality analyses of suicide means have historically treated drug poisoning other than alcohol poisoning as a lumped category. Assessing risk by drug class permits better assessment of prevention opportunities. Objective: To investigate the epidemiology of drug poisoning suicides. Design, Setting, and Participants: This cross-sectional study analyzed censuses of live emergency department and inpatient discharges for 11 US states from January 1, 2011, to December 31, 2012, as well as Healthcare Cost and Utilization Project national live discharge samples for January 1 to December 31, 2012, and January 1 to December 31, 2016, and corresponding Multiple Cause of Death census data. Censuses or national samples of all medically identified drug poisonings that were deliberately self-inflicted or of undetermined intent were identified using diagnosis and external cause codes. Data were analyzed from June 2019 to January 2020. Main Outcomes and Measures: Distribution of drug classes involved in suicidal overdoses. Logistic regressions on the state data were used to calculate the odds and relative risk (RR) of death for a suicide act that involved a drug class vs similar acts excluding that class. Results: Among 421 466 drug poisoning suicidal acts resulting in 21 594 deaths, 19.6% to 22.5% of the suicidal drug overdoses involved benzodiazepines, and 15.4% to 17.3% involved opioids (46.2% men, 53.8% women, and <0.01% missing; mean age, 36.4 years). Opioids were most commonly identified in fatal suicide poisonings (33.3%-47.8%). The greatest RR for poisoning suicide completion was opioids (5.20 times the mean for suicide acts that did not involve opioids; 95% CI, 4.86-5.57; sensitivity analysis range, 3.99-6.86), followed by barbiturates (RR, 4.29; 95% CI, 3.35-5.45), antidepressants (RR, 3.22; 95% CI, 2.95-3.52), antidiabetics (RR, 2.57; 95% CI, 1.94-3.41), and alcohol (conservatively, because 30% of death certifiers do not test for alcohol; RR, 2.04; 95% CI, 1.84-2.26). The updated toxin diagnosis coding in International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, used to code the 2016 data revealed that calcium channel blockers also had a high RR of 2.24 (95% CI, 1.89-2.61). Translated to attributable fractions, approximately 81% of suicides involving opioids would not have been fatal absent opioids. Similarly, 34% of alcohol-involved suicide deaths were alcohol attributable. Conclusions and Relevance: These findings suggest that preventing access to lethal means for patients at risk for suicide should extend to drugs with high case fatality rates. Blister packing and securely storing lethal drugs seems advisable.

Products and activities associated with non-fatal traumatic brain injuries in children and adolescents - United States 2010-2013.

Background: Traumatic brain injury (TBI) is prevalent in children and adolescents ages <1-19 years, yet we have limited understanding of consumer products that are associated with TBIs in children and adolescents of varying ages. To address this gap, we combined two data sources to investigate leading products and activities associated with TBIs in children and adolescents in different developmental age groups (i.e. <1, 1-4, 5-9, 10-14, and 15-19 years). Methods: We analysed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP), augmented with product information from the National Electronic Injury Surveillance System (NEISS), for the years 2010 through 2013. Results: From 2010 to 2013, children and adolescents aged <1-19 years accounted for 4.1 million non-fatal TBI-related emergency department visits. TBIs from home furnishings and fixtures, primarily beds, were highest among infants aged <1 year and children aged 1-4 years. TBIs from sports/recreation, especially bicycles and football, were highest among those aged 5-9 years, 10-14 years, and 15-19 years. Conclusions: The combined NEISS and NEISS-AIP data allow us to comprehensively examine products and activities that contribute to emergency department visits for TBIs in children and adolescents. Our findings indicate priority areas for TBI prevention and intervention.

Trends in Drug Poisoning Deaths Among Adolescents and Young Adults in the United States, 2006-2015.

OBJECTIVE: Despite the rising toll of drug poisoning deaths in the United States, the extent of the problem among adolescents and young adults ages 15-24 years has received relatively little attention. We examined sociodemographic characteristics and state trends in drug poisoning deaths among adolescents and young adults from 2006 to 2015 and estimated the costs of drug poisoning mortality in this population. METHOD: We used the National Vital Statistics System's Multiple Cause of Death files from 2006 to 2015. We analyzed trends using Joinpoint regression analysis and calculated total costs of drug poisoning deaths, including medical costs, work loss costs, and quality of life loss, based on widely used cost estimates. RESULTS: Drug poisoning death rates (per 100,000 population) in adolescents and young adults increased from 8.1 in 2006 to 9.7 in 2015. The rates increased significantly for Whites (1.7% per year) and Asian/Pacific Islanders (4.3% per year) from 2006 to 2015 and for Blacks (11.8% per year) from 2009 to 2015. By U.S. region, the rates increased significantly in the Midwest (4.4% per year) from 2006 to 2015 and in the Northeast (11.0% per year) from 2009 to 2015. Trends varied by age group, intent for drug poisoning, drug category (i.e., opioids, pharmaceutical drugs excluding opioids, illicit drugs excluding opioids, and unspecified drugs), urbanization level, and state. The estimated costs of drug poisoning deaths among adolescents and young adults totaled approximately $35 billion in 2015. CONCLUSIONS: Trends in drug poisoning deaths and estimated costs inform state-specific prevention and intervention efforts.

Incidence and costs of injuries to children and adults in the United States.

BACKGROUND: Injuries are a leading cause of death and acquired disability, and result in significant medical spending. Prior estimates of injury-related cost have been limited by older data, for certain population, or specific mechanisms. FINDINGS: This study estimated the incidence of hospital-treated nonfatal injuries in the United States (US) in 2013 and the related comprehensive costs. Injury-related emergency department (ED) visits and hospitalizations were identified using 2013 Healthcare Cost and Utilization Project (HCUP) data. Models estimated the costs of medical spending and lost future work due to injuries in 2013 U.S. dollars. A total of 31,038,072 nonfatal injury-related hospitalizations and ED visits were identified, representing 9.8 per 100 people. Hospital-treated nonfatal injuries cost an estimated $1.853 trillion, including $168 billion in medical spending, $223 billion in work losses, and $1.461 trillion in quality of life losses. CONCLUSIONS: Approximately one in 10 individuals in the US is treated in the hospital for injury each year, with high corresponding costs. These data support priority-setting to reduce the injury burden in the US.

Estimated total costs from non-fatal and fatal bicycle crashes in the USA: 1997-2013.

INTRODUCTION: Emergency department visits and hospital admissions resulting from adult bicycle trauma have increased dramatically. Annual medical costs and work losses of these incidents last were estimated for 2005 and quality-of-life losses for 2000. METHODS: We estimated costs associated with adult bicycle injuries in the USA using 1997-2013 non-fatal incidence data from the National Electronic Injury Surveillance System with cost estimates from the Consumer Product Safety Commission's Injury Cost Model, and 1999-2013 fatal incidence data from the National Vital Statistics System costed by similar methods. RESULTS: Approximately 3.8 million non-fatal adult bicycle injuries were reported during the study period and 9839 deaths. In 2010 dollars, estimated adult bicycle injury costs totalled $24.4 billion in 2013. Estimated injury costs per mile bicycled fell from $2.85 in 2001 to $2.35 in 2009. From 1999 to 2013, total estimated costs were $209 billion due to non-fatal bicycle injuries and $28 billion due to fatal injuries. Inflation-free annual costs in the study period increased by 137% for non-fatal injuries and 23% for fatal injuries. The share of non-fatal costs associated with injuries to riders age 45 and older increased by 1.6% (95% CI 1.4% to 1.9%) annually. The proportion of costs due to incidents that occurred on a street or highway steadily increased by 0.8% (95% CI 0.4% to 1.3%) annually. CONCLUSIONS: Inflation-free costs per case associated with non-fatal bicycle injuries are increasing. The growth in costs is especially associated with rising ridership, riders 45 and older, and street/highway crashes.

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.

Heterogeneous Costs of Alcohol and Drug Problems Across Cities and Counties in California.

BACKGROUND: Estimates of economic and social costs related to alcohol and other drug (AOD) use and abuse are usually made at state and national levels. Ecological analyses demonstrate, however, that substantial variations exist in the incidence and prevalence of AOD use and problems including impaired driving, violence, and chronic disease between smaller geopolitical units like counties and cities. This study examines the ranges of these costs across counties and cities in California. METHODS: We used estimates of the incidence and prevalence of AOD use, abuse, and related problems to calculate costs in 2010 dollars for all 58 counties and an ecological sample of 50 cities with populations between 50,000 and 500,000 persons in California. The estimates were built from archival and public-use survey data collected at state, county, and city levels over the years from 2009 to 2010. RESULTS: Costs related to alcohol use and related problems exceeded those related to illegal drugs across all counties and most cities in the study. Substantial heterogeneities in costs were observed between cities within counties. CONCLUSIONS: AOD costs are heterogeneously distributed across counties and cities, reflecting the degree to which different populations are engaged in use and abuse across the state. These findings provide a strong argument for the distribution of treatment and prevention resources proportional to need.

Perils of police action: a cautionary tale from US data sets.

OBJECTIVE: To count and characterise injuries resulting from legal intervention by US law enforcement personnel and injury ratios per 10 000 arrests or police stops, thus expanding discussion of excessive force by police beyond fatalities. DESIGN: Ecological. POPULATION: Those injured during US legal police intervention as recorded in 2012 Vital Statistics mortality census, 2012 Healthcare Cost and Utilization Project nationwide inpatient and emergency department samples, and two 2015 newspaper censuses of deaths. EXPOSURE: 2012 and 2014 arrests from Federal Bureau of Investigation data adjusted for non-reporting jurisdictions; street stops and traffic stops that involved vehicle or occupant searches, without arrest, from the 2011 Police Public Contact Survey (PPCS), with the percentage breakdown by race computed from pooled 2005, 2008 and 2011 PPCS surveys due to small case counts. RESULTS: US police killed or injured an estimated 55 400 people in 2012 (95% CI 47 050 to 63 740 for cases coded as police involved). Blacks, Native Americans and Hispanics had higher stop/arrest rates per 10 000 population than white non-Hispanics and Asians. On average, an estimated 1 in 291 stops/arrests resulted in hospital-treated injury or death of a suspect or bystander. Ratios of admitted and fatal injury due to legal police intervention per 10 000 stops/arrests did not differ significantly between racial/ethnic groups. Ratios rose with age, and were higher for men than women. CONCLUSIONS: Healthcare administrative data sets can inform public debate about injuries resulting from legal police intervention. Excess per capita death rates among blacks and youth at police hands are reflections of excess exposure. International Classification of Diseases legal intervention coding needs revision.

Economics of alcohol-involved traffic crashes in the USA: an input-output analysis.

BACKGROUND: Preventing traffic crashes reduces crash costs paid by employers and employees. The related savings filter through the economy, impacting its performance. This study is the first to measure the impact of traffic crash reduction on a national economy. It focuses on impaired driving crashes. METHODS: We analysed the impact of the almost 50% alcohol-involved driving crash rate reduction from 1984-1986 to 2010 and the impact if such crashes in 2010 had not occurred. The analysis entered published estimates of costs that employers, consumers and governments paid because of US impaired-driving crashes as production costs and demand changes in Rutgers University's input-output model of the US economy. For example, reducing medical costs paid by employers lowers the cost of labour inputs to production while reducing vehicle repairs raises demand for other goods. Running the model at current and alternative crash rates revealed the impacts of crash reductions on economic output, gross domestic product (GDP), national income and employment. RESULTS: Alcohol-involved crash reductions since 1984-1986 increased economic output in 2010 by an estimated $20 billion, raised GDP by $10 billion, increased US income by $6.5 billion, and created 215 000 jobs. GDP gains from alcohol-involved crash reduction contributed 5% of the $200 million compounded average annual growth in US GDP from 1985 to 2013. Eliminating remaining alcohol-involved crashes would result in similar economic gains. CONCLUSIONS: Alcohol-involved crashes drag down the US economy. On average, each of the 25.5 billion miles Americans drove impaired in 2010 reduced economic output by $0.80. Those losses are preventable.

A fresh look at the costs of non-fatal consumer product injuries.

BACKGROUND: Products under the purview of the Consumer Product Safety Commission are involved in a large share of injuries and injury costs in the USA. METHODS: This study analyses incidence data from the National Electronic Injury Surveillance System (NEISS) and cost data based on the Injury Cost Model, integrated with the NEISS. We examined the magnitude of non-fatal consumer product related injury, the distribution of products involved in these injuries and the cost of these injuries. We compared these findings with an earlier identical study from 2000. RESULTS: In 2008-2010, 43.8% of the annual 30.4 million non-fatal injuries treated in hospital emergency departments involved consumer products. Of these consumer product related injuries, in 2009-2010, just three product groups accounted for 77% of the $909 billion annual cost: sports and recreation; home structures and construction materials; and home furnishings and fixtures. Sports and recreation was a leading cause of injury costs among 5-24-year-olds, particularly football, basketball, bicycling, baseball/softball and soccer. Since 1996, football surpassed basketball in becoming the number one cause of injury costs for children aged 10-19 years and the fifth ranked cause of product related injury costs overall. Among those over age 30 years, stairs and floors were a leading cause of consumer product related injury costs, in particular among those over age 70 years where they were responsible for over one-fifth of costs. CONCLUSIONS: The findings of this study highlight priority areas for intervention and generate questions for future research.

Disability-adjusted life-year burden of abusive head trauma at ages 0-4.

OBJECTIVE: We estimated the disability-adjusted life-year (DALY) burden of abusive head trauma (AHT) at ages 0 to 4 years in the United States. METHODS: DALYs are computed by summing years of productive life that survivors lost to disability plus life-years lost to premature death. Surveying a convenience sample of 170 caregivers and pediatricians yielded health-related disability over time according to severity of AHT (measured with the Health Utilities Index, Mark 2). Incidence estimates for 2009 came from Vital Statistics for Mortality, Healthcare Cost and Utilization Program Kids' Inpatient Database for hospitalized survivors, and published ratios of 0.894 case treated and released and 0.340 case not diagnosed/treated while in the acute phase per survivor admitted. Survival probability over time after discharge came from published sources. RESULTS: An estimated 4824 AHT cases in 2009 included 334 fatalities within 30 days. DALYs per surviving child averaged 0.555 annually for severe AHT (95% confidence interval: 0.512-0.598) and 0.155 (95% confidence interval: 0.120-0.190) for other cases. Including life-years lost to premature mortality, estimated lifetime burden averaged 4.7 DALYs for mild AHT, 5.4 for moderate AHT, 24.1 for severe AHT, and 29.8 for deaths. On average, DALY loss per 30-day survivor included 7.6 years of lost life expectancy and 5.7 years lived with disability. Estimated burden of AHT incidents in 2009 was 69 925 DALYs or 0.017 DALYs per US live birth. CONCLUSIONS: AHT is extremely serious, often resulting in severe physical damage or death. The annual DALY burden several years after mild AHT exceeds the DALY burden of a severe burn.

Suicide deaths and nonfatal hospital admissions for deliberate self-harm in the United States. Temporality by day of week and month of year.

BACKGROUND: No one knows whether the temporality of nonfatal deliberate self-harm in the United States mirrors the temporality of suicide deaths. AIMS: To analyze day- and month-specific variation in population rates for suicide fatalities and, separately, for hospital admissions for nonfatal deliberate self-harm. METHODS: For 12 states, we extracted vital statistics data on all suicides (n = 11,429) and hospital discharge data on all nonfatal deliberate self-harm admissions (n = 60,870) occurring in 1997. We used multinomial logistic regression to analyze the significance of day-to-day and month-to-month variations in the occurrence of suicides and nonfatal deliberate self-harm admissions. RESULTS: Both fatal and nonfatal events had a 6%-10% excess occurrence on Monday and Tuesday and were 5%-13% less likely to occur on Saturdays (p < .05). Males were more likely than females to act on Wednesdays and Saturdays. Nonfatal admission rates were 6% above the average in April and May (p < .05). In contrast, suicide rates were 6% above the average in February and March and 8% below it in November (p < .05). CONCLUSIONS: Suicides and nonfatal hospital admissions for deliberate self-harm have peaks and troughs on the same days in the United States. In contrast, the monthly patterns for these fatal and nonfatal events are not congruent.

Alcohol involvement in hospital-admitted nonfatal suicide acts.

We analyzed alcohol involvement in 84,005 medically identified live discharges for self-inflicted intentional injuries (typically suicide acts) from hospitals in 20 U.S. states in 1997. Alcohol was involved in 27% of the discharges. Evidence of alcohol was significantly more prevalent in men than women, but generally men drink more than women. Blacks had the highest alcohol involvement in their suicide acts relative to their drinking patterns. Overall, alcohol involvement rose and subsequently fell with age, with involvement above 30% for ages 30-55. Lowering the minimum legal drinking age to 18 from 21 could potentially raise alcohol-involved suicide hospitalizations among youth by an estimated 27%.

Incidence and total lifetime costs of motor vehicle-related fatal and nonfatal injury by road user type, United States, 2005.

OBJECTIVES: To estimate the costs of motor vehicle-related fatal and nonfatal injuries in the United States in terms of medical care and lost productivity by road user type. METHODS: Incidence and cost data for 2005 were derived from several data sources. Unit costs were calculated for medical spending and productivity losses for fatal and nonfatal injuries, and unit costs were multiplied by incidence to yield total costs. Injury incidence and costs are presented by age, sex, and road user type. RESULTS: Motor vehicle-related fatal and nonfatal injury costs exceeded $99 billion. Costs associated with motor vehicle occupant fatal and nonfatal injuries accounted for 71 percent ($70 billion) of all motor vehicle-related costs, followed by costs associated with motorcyclists ($12 billion), pedestrians ($10 billion), and pedalcyclists ($5 billion). CONCLUSIONS: The substantial economic and societal costs associated with these injuries and deaths reinforce the need to implement evidence-based, cost-effective strategies. Evidence-based strategies that target increasing seat belt use, increasing child safety seat use, increasing motorcyclist and pedalcyclist helmet use, and decreasing alcohol-impaired driving are available.

National suicide rates a century after Durkheim: do we know enough to estimate error?

Durkheim's nineteenth-century analysis of national suicide rates dismissed prior concerns about mortality data fidelity. Over the intervening century, however, evidence documenting various types of error in suicide data has only mounted, and surprising levels of such error continue to be routinely uncovered. Yet the annual suicide rate remains the most widely used population-level suicide metric today. After reviewing the unique sources of bias incurred during stages of suicide data collection and concatenation, we propose a model designed to uniformly estimate error in future studies. A standardized method of error estimation uniformly applied to mortality data could produce data capable of promoting high quality analyses of cross-national research questions.

ATV and bicycle deaths and associated costs in the United States, 2000-2005.

OBJECTIVE: We determined the rate and costs of recent U.S. all-terrain vehicle (ATV) and bicycle deaths. METHODS: Fatalities were identified from the National Center for Health Statistics Multiple Cause-of-Death public-access file. ATV and bicycle deaths were defined by International Classification of Diseases, 10th Revision codes V86.0-V86.9 and V10-V19, respectively. Lifetime costs were estimated using standard methods such as those used by the National Highway Traffic Safety Administration. RESULTS: From 2000 through 2005, 5,204 people died from ATV crashes and 4,924 from bicycle mishaps. A mean of 694 adults and 174 children died annually from ATV injuries, while 666 adults and 155 children died from bicycle injuries. Death rates increased among adult ATV and bike riders and child ATV riders. Males had higher fatality rates for both ATVs and bicycles. Among children, total costs increased 15% for ATV deaths and decreased 23% for bicycle deaths. In adults, ATV costs increased 45% and bike costs increased 39%. CONCLUSIONS: Bicycle- and ATV-related deaths and associated costs are high and, for the most part, increasing. Promotion of proven prevention strategies, including helmet use, is indicated. However, enforcement of helmet laws is problematic, which may contribute to observed trends.

Issues in using state hospital discharge data in injury control research and surveillance.

This study evaluates the quality of injury-related coding in state hospital data and their usefulness to injury researchers. Using 1997 hospital discharge records from 19 states, hospitalized non-fatal injury-related cases were identified by first selecting all cases that met broad criteria for injury, and then dropping cases that appeared incorrectly coded as injuries and cases related to medical care. Based on our criteria, 1,129,980 non-fatal hospitalized cases were identified as probable acute injuries. Three-quarters were coded with a traditional injury diagnosis in the primary diagnosis field, and 90% had a traditional injury diagnosis somewhere in the first six diagnosis fields. Of cases with an injury diagnosis code in the first three diagnosis fields, 88.1% were E coded. E coding completeness varied by state, with some states reporting high rates of E coding by using non-specific E codes. Other challenges included E-coded cases where no injury diagnosis was reported and apparent miscoding of the E code. We conclude that it is possible to combine multiple states' data if researchers are aware of the challenges they may encounter. In order to capture all injury-related cases, it is important to scan secondary diagnosis fields.