Background: Opioid dependence disorder is a top row public health concern in the United States. Large electronic health record data from the All of Us Research Program allow measurement of demographic and geographic burden. This study analysis describes the prevalence of opioid dependence with the condition 438120 by age, sex and location patterns among participants and summarizes coding practices of health system. Methods: We identified participants with opioid dependence (condition 438120) using the All of Us Public Data Browser. We extracted aggregated counts and proportions by age, sex and state or region. Diagnoses came from EHR condition codes by partner health systems. We summarized participants within each stratum. Results: A total of 11,600 participants (3.27% of 354,400) had an EHR-documented diagnosis of opioid dependence. The maximum burden snapping in adults aged 50–59 years at 3,000 cases with diagnoses age groups 18–89+. Males were more prevalence than females across age groups in between 30–59. Cases noticed nationwide particularly highest concentrations in Arizona, Illinois, Pennsylvania, New York, and Massachusetts. Diagnoses were coded mainly with ICD-10-CM and ICD-9-CM with contributions from SNOMED. Subtypes included remission (2,500), continuous dependence (2,080) and combining opioids with other drug dependence with smaller counts for episodic and heroin dependence. Conclusions: In this cohort opioid dependence is concentrated in middle-aged adults and more common in men. Geographic clustering is evident in several states. Coding variation reflects documentation differences. Large EHR datasets are useful for monitoring disparities and guiding targeted public health action and policy.
Imran et al. (Tue,) studied this question.
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