Defining Opioid-related Problems Using a Health Care Safety Net Institution's Inpatient Electronic Health Records: Limitations of Diagnosis-based Definitions. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Arifkhanova, Aziza; Prieto, José Tomás; Davidson, Arthur J.; Al-Tayyib, Alia; Hawkins, Ethan; Kraus, Emily; McEwen, Dean; Podewils, Laura Jean; Foldy, Seth; Gillespie, Elizabeth; Taub, Julie; Shlay, Judith C.
• Is Part Of: Journal of addiction medicine. Volume 17:Issue 1(2023)
• Page Start: 79
• Page End: 84
• Publication Date: 2023-01-02
• Subjects: opioid-related disorders -- opioid use disorder -- heroin -- drug overdose -- definition, electronic health records; Substance abuse -- Periodicals; Substance abuse -- Treatment -- Periodicals; Substance-Related Disorders -- Periodicals; 616.86005
• DOI: 10.1097/ADM.0000000000001041
• Languages: English
• ISSNs: 1932-0620

Abstract

Abstract : Background: Measuring clinically relevant opioid-related problems in health care systems is challenging due to the lack of standard definitions and coding practices. Well-defined, opioid-related health problems (ORHPs) would improve prevalence estimates and evaluation of clinical interventions, crisis response, and prevention activities. We sought to estimate prevalence of opioid use disorder (OUD), opioid misuse, and opioid poisoning among inpatients at a large, safety net, health care institution. Methods: Our study included events documented in the electronic health records (EHRs) among hospitalized patients at Denver Health Medical Center during January 1, 2017 to December 31, 2018. Multiple EHR markers (ie, opioid-related diagnostic codes, clinical assessment, laboratory results, and free-text documentation) were used to develop diagnosis-based and extended definitions for OUD, opioid misuse, and opioid poisoning. We used these definitions to estimate number of hospitalized patients with these conditions. Results: During a 2-year study period, 715 unique patients were identified solely using opioid-related diagnostic codes; OUD codes accounted for the largest proportion (499/715, 69.8%). Extended definitions identified an additional 973 unique patients (~136% increase), which includes 155/973 (15.9%) who were identified by a clinical assessment marker, 1/973 (0.1%) by a laboratory test marker, and 817/973 (84.0%) by a clinical documentation marker. Conclusions: Solely using diagnostic codes to estimate prevalence of clinically relevant ORHPs missed most patients with ORHPs. More inclusive estimates were generated using additional EHR markers. Improved methods to estimate ORHPs among a health care system's patients would more fully estimate organizational and economic burden to more efficiently allocate resources and ensure capacity to provide clinical services.