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Assessment of Probable Opioid Use Disorder Using Electronic Health Record Documentation
Author(s) -
Sarah Palumbo,
Kayleigh M. Adamson,
Sarathbabu Krishnamurthy,
Shivani Manoharan,
Donielle Beiler,
Anthony Seiwell,
Colt Young,
Raghu Metpally,
Richard C. Crist,
Glenn A. Doyle,
Thomas N. Ferraro,
Mingyao Li,
Wade H. Berrettini,
Janet D. Robishaw,
Vanessa Troiani
Publication year - 2020
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2020.15909
Subject(s) - medicine , electronic health record , medical record , proxy (statistics) , opioid use disorder , retrospective cohort study , cohort , electronic medical record , cohort study , diagnosis code , emergency medicine , opioid , psychiatry , pediatrics , family medicine , health care , population , environmental health , receptor , machine learning , computer science , economics , economic growth
Key Points Question Are medication monitoring programs within a hospital associated with more accurate identification of patients with opioid use disorder through the use of proxy Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) ( DSM-5) criteria for opioid use disorder extracted from electronic health records? Findings This cross-sectional study demonstrated that DSM-5 criteria for opioid use disorder can be extracted through review of electronic health records and that patients who are part of a drug monitoring program had a higher mean prevalence of opiod use disorder and a higher mean number of psychiatric comorbidities associated with opioid use disorder. Meaning Proxy measures that rely on multiple sources of data, including prescription drug history and notes in the electronic health record, may help identify patients with opioid use disorder who have not received a diagnosis.

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