Defining nonfatal opioid overdoses using administrative health data in the United States and Canada: A scoping review
Year: 2026
Type: review
Study design: Systematic Review
Abstract: Objective To explore definitions of nonfatal opioid overdoses with study populations based in the United States and Canada, to improve nonfatal overdose monitoring. Methods We searched five databases: PubMed, Medline, Web of Science, Embase, and PsycInfo, including studies published between January 2013–October 2024. We combined overdose-related terms (e.g., overdose, poisoning) and hospital-related terms (e.g., diagnosis code, International Classification of Diseases [ICD], electronic health records) and extracted data from 214 studies that defined opioid overdoses. Results Most studies reported on opioid overdoses due to any opioid ( n = 175). Studies varied in terms of specific ICD codes. Among studies using ICD, Tenth Revision, Clinical Modification (ICD-10-CM) codes ( n = 79), key sources of variation included intent specifications and encounter type; nearly one-third did not specify whether codes reflected an initial encounter, a subsequent visit, or sequelae ( n = 24, 30.8%). Of studies that specified, most used all three encounter types ( n = 27, 34.6%) or initial only ( n = 21, 26.9%). Few specified both initial and sequelae ( n = 4, 5.1%) or initial and subsequent encounters (n = 2, 2.6%). Similar patterns were observed across all opioid subtype definitions. Conclusions We observed substantial variation in definitions. Detailed, standardized reporting methods when applying diagnostic codes may improve consistency and transparency and could improve public health monitoring.
Source: Preventive Medicine Reports
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,610
Awards: The non-fatal overdose crisis: Sex and gender differences in healthcare utilization and health outcomes of people living with and without HIV between 2012 and 2020, Substance Abuse Epidemiology Training Program (SAETP) at Columbia University, Dissecting the role of loneliness on substance use- and HIV-related outcomes among sexual minority men in the United States and Canada, Using Big Data to Optimize Treatment of Opioid Use Disorder in Pregnancy, Social safety net programs as interventions to reduce opioid-related harms in reproductive-age women
OpenAlex ID: W7171963640
