Examining Ethnic and Racial Variations in Opioid-related Hospitalizations Using Western U.S. Electronic Health Records

The opioid epidemic remains a major public health crisis in the United States, with growing evidence of differential burden across racial and ethnic populations. While much of the existing literature has focused on opioid use disorder and overdose outcomes in White populations, fewer studies have examined patterns among underrepresented racial and ethnic groups, particularly in relation to geographic context and regional variation. Moreover, relatively few studies have jointly examined racial and ethnic differences in opioid-related hospitalizations within the Western United States, despite the region’s distinct demographic composition and healthcare context. This observational study examines opioid-related hospitalizations across racial/ethnic groups and geographic settings in the Western United States using electronic health record-derived inpatient data from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) for Arizona, California, Colorado, Nevada, and Utah. Opioid-related hospitalizations were identified using diagnosis-related group codes for drug poisoning and toxic effects. Prevalence estimates were calculated across demographic, socioeconomic, and urbanicity strata, and unadjusted associations were evaluated using Pearson’s Chi-square tests. The analysis identifies variation in opioid-related hospitalization prevalence by race/ethnicity, household income, and urbanicity, with patterns differing across states and geographic contexts. These findings highlight the importance of considering both population composition and place-based factors when interpreting opioid-related outcomes. In addition, this study discusses the potential role of artificial intelligence, enabled approaches, including predictive modeling and natural language processing, as future tools to enhance surveillance, early identification of risk, and resource allocation in efforts to reduce opioid-related harm. The current findings suggest the value of region-specific, equity-oriented strategies to inform public health responses to opioid-related hospitalizations in diverse populations.

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Publication Details

Journal
Journal of Racial and Ethnic Health Disparities
Published
2026-04-06
DOI
https://doi.org/10.1007/s40615-026-02960-w
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Examining Ethnic and Racial Variations in Opioid-related Hospitalizations Using Western U.S. Electronic Health Records

Soohyoung Rain Lee, Euiseong Ko, Jay J. Shen, Se Won Lee et al.
Journal of Racial and Ethnic Health Disparities
Opioid Use Disorder Treatment
article

Examining Ethnic and Racial Variations in Opioid-related Hospitalizations Using Western U.S. Electronic Health Records

Soohyoung Rain Lee, Euiseong Ko, Jay J. Shen, Se Won Lee, Lois Suh, Beomsu Baek, Mingon Kang, Jiwon Yoo
article en

Abstract

The opioid epidemic remains a major public health crisis in the United States, with growing evidence of differential burden across racial and ethnic populations. While much of the existing literature has focused on opioid use disorder and overdose outcomes in White populations, fewer studies have examined patterns among underrepresented racial and ethnic groups, particularly in relation to geographic context and regional variation. Moreover, relatively few studies have jointly examined racial and ethnic differences in opioid-related hospitalizations within the Western United States, despite the region’s distinct demographic composition and healthcare context. This observational study examines opioid-related hospitalizations across racial/ethnic groups and geographic settings in the Western United States using electronic health record-derived inpatient data from the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) for Arizona, California, Colorado, Nevada, and Utah. Opioid-related hospitalizations were identified using diagnosis-related group codes for drug poisoning and toxic effects. Prevalence estimates were calculated across demographic, socioeconomic, and urbanicity strata, and unadjusted associations were evaluated using Pearson’s Chi-square tests. The analysis identifies variation in opioid-related hospitalization prevalence by race/ethnicity, household income, and urbanicity, with patterns differing across states and geographic contexts. These findings highlight the importance of considering both population composition and place-based factors when interpreting opioid-related outcomes. In addition, this study discusses the potential role of artificial intelligence, enabled approaches, including predictive modeling and natural language processing, as future tools to enhance surveillance, early identification of risk, and resource allocation in efforts to reduce opioid-related harm. The current findings suggest the value of region-specific, equity-oriented strategies to inform public health responses to opioid-related hospitalizations in diverse populations.

Journal of Racial and Ethnic Health Disparities
University of Nevada, Las Vegas (US), Yeshiva University (US), University of Alabama at Birmingham (US), Sunrise Medical (United States) (US)
Centers for Medicare and Medicaid Services
Openalex Percentile: Top 19%
Opioid Use Disorder Treatment
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