CTN-0113: Validating a DSM-5 Substance Use Disorder (SUD) Symptom Checklist in EHR Data from a Large Primary Care Sample to Support Future Pragmatic Trials and Chronic Care Management of SUDs in Primary Care

Emily Williams, PhD, MPH
Lead Investigator

University of Washington, VA Puget Sound

Primary care (PC) is well-positioned to detect and address substance use (SU) and substance use disorders (SUDs), yet most PC settings have notable gaps in providing SU-related care. This study proposes to leverage a large and novel EHR dataset from Kaiser Permanente Washington, which includes standardized measures of daily cannabis use (~19,089 unique patients) and past-year illicit drug use (~6,045 unique patients), or both (~2,380 unique patients) and a novel patient-reported SUD symptom checklist that is based on the DSM-5 SUD criteria (DSM-5 checklist). The aim of this study is to evaluate whether the novel patient-reported DSM-5 SUD symptom checklist, used in routine PC documentation in EHRs, is unidimensional, discriminative, and reflects a continuum of SUD severity. Additionally, the study will evaluate the DSM-5 SUD symptom checklist profiles with age, sex, race, and ethnicity justifications.

    Node Involvement

    Lead Node(s):

  • Health Systems Node

  • All Participating Nodes:

  • Health Systems Node