Dataset Information

Opioid-related US hospital discharges by type, 1993-2016.

ABSTRACT: 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.

SUBMITTER: Peterson C

PROVIDER: S-EPMC6592613 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Opioid-related US hospital discharges by type, 1993-2016.

Peterson Cora C Xu Likang L Florence Curtis C Mack Karin A KA

Journal of substance abuse treatment 20190510

<h4>Objective</h4>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.<h4>Methods</h4>Survey-weighted national analysis of hospital discharges in the Healthcare Cost and Utiliza ...[more]

PMID: 31229192

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Project description:ImportanceAs the opioid epidemic evolves, it is vital to identify changes in the geographical distribution of opioid-related deaths, and the specific opioids to which those deaths are attributed, to ensure that federal and state public health interventions remain appropriately targeted.ObjectiveTo identify changes in the geographical distribution of opioid-related mortality across the United States by opioid type.Design, setting, and participantsCross-sectional study using joinpoint modeling and life table analysis of individual-level data from the National Center for Health Statistics on 351?630 US residents who died from opioid-related causes from January 1, 1999, to December 31, 2016, for all of the United States and the District of Columbia. The analysis was conducted from September 6 to November 23, 2018.ExposuresDeaths involving any opioid, heroin, synthetic opioids, and natural and semisynthetic opioids.Main outcomes and measuresOpioid-related mortality rate, annual percent change in the opioid-related mortality rate, and life expectancy lost at age 15 years by state and opioid type.ResultsFrom 1999 to 2016, a total of 231?264 men and 120?366 women died from opioid-related causes across the whole United States. Sixty-six observations were removed owing to missing data on age; therefore, 351?564 US residents were included in this study. The mean (SD) age at death was 39.8 (12.5) years for men and was 43.5 (12.9) years from women. Opioid-related mortality rates, especially from synthetic opioids, rapidly increased in all of the eastern United States. In most states, mortality associated with natural and semisynthetic opioids (ie, prescription painkillers) remained stable. In contrast, 28 states had mortality rates from synthetic opioids that more than doubled every 2 years (ie, annual percent change, ?41%), including 12 with high mortality rates from synthetic opioids (>10 per 100?000 people). Among these 28 states, the mortality rate from natural and semisynthetic opioids ranged from 2.0 to 18.7 per 100?000 people (with a mean mortality rate of 6.0 per 100?000 people). The District of Columbia had the fastest rate of increase in mortality from opioids, more than tripling every year since 2013 (annual percent change, 228.3%; 95% CI, 169.7%-299.6%; P?<?.001), and a high mortality rate from synthetic opioids in 2016 (18.8 per 100?000 people); the mortality rate from natural and semisynthetic opioids was 6.9 per 100?000 people. Nationally, overall opioid-related mortality resulted in 0.36 years of life expectancy lost in 2016, which was 14% higher than deaths due to firearms and 18% higher than deaths due to motor vehicle crashes; 0.17 years of the life expectancy lost was due specifically to synthetic opioids. In 2016, New Hampshire and West Virginia lost more than 1 year of life expectancy due to opioid-related mortality.Conclusions and relevanceOpioid-related mortality, particularly mortality associated with synthetic opioids, has increased in the eastern United States. These findings indicate that policies focused on reducing opioid-related deaths may need to prioritize synthetic opioids and rapidly expanding epidemics in northeastern states and consider the potential for synthetic opioid epidemics outside of the heroin supply.

Project description:BACKGROUND:Although homelessness and opioid overdose are major public health issues in the U.S., evidence is limited as to whether homelessness is associated with an increased risk of opioid overdose. OBJECTIVE:To compare opioid-related outcomes between homeless versus housed individuals in low-income communities. DESIGN, SETTING, AND PARTICIPANTS:Cross-sectional analysis of individuals who had at least one ED visit or hospitalization in four states (Florida, Maryland, Massachusetts, and New York) in 2014. MEASUREMENTS:Risk of opioid overdose and opioid-related ED visits/hospital admissions were compared between homeless versus low-income housed individuals, adjusting for patient characteristics and hospital-specific fixed effects (effectively comparing homeless versus low-income housed individuals treated at the same hospital). We also examined whether risk of opioid-related outcomes varied by patients' sex and race/ethnicity. RESULTS:A total of 96,099 homeless and 2,869,230 low-income housed individuals were analyzed. Homeless individuals had significantly higher risk of opioid overdose (adjusted risk, 1.8% for homeless vs. 0.3% for low-income housed individuals; adjusted risk difference [aRD], +1.5%; 95%CI, +1.0% to +2.0%; p < 0.001) and opioid-related ED visit/hospital admission (10.4% vs. 1.5%; aRD, +8.9%; 95%CI, +7.2% to +10.6%; p < 0.001) compared to low-income housed individuals. Non-Hispanic White females had the highest risk among the homeless population, whereas non-Hispanic White males had the highest risk among the low-income housed population. LIMITATIONS:Individuals with no ED visit or hospitalization in 2014 were not included. CONCLUSION:Homeless individuals had disproportionately higher adjusted risk of opioid-related outcomes compared to low-income housed individuals treated at the same hospital. Among homeless individuals, non-Hispanic White females incurred the highest risk. These findings highlight the importance of recognizing the homeless population-especially the non-Hispanic White female homeless population-as a high-risk population for opioid overdose.

Dataset Information

Opioid-related US hospital discharges by type, 1993-2016.

Publications

Opioid-related US hospital discharges by type, 1993-2016.

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