Using prescription claims to detect aberrant behaviors with opioids: comparison and validation of 5 algorithms.

ABSTRACT: OBJECTIVE:Compare and validate 5 algorithms to detect aberrant behavior with opioids: Opioid Misuse Score, Controlled Substance-Patterns of Utilization Requiring Evaluation (CS-PURE), Overutilization Monitoring System, Katz, and Cepeda algorithms. STUDY DESIGN AND SETTING:We identified new prescription opioid users from 2 insurance databases: Medicaid (2000-2006) and Clinformatics Data Mart (CDM; 2004-2013). Patients were followed 1 year, and aberrant opioid behavior was defined according to each algorithm, using Cohen's kappa to assess agreement. Risk differences were calculated comparing risk of opioid-related adverse events for identified aberrant and nonaberrant users. RESULTS:About 3.8 million Medicaid and 4.3 million CDM patients initiated prescription opioid use. Algorithms flagged

SUBMITTER: Rough K 

PROVIDER: S-EPMC6200661 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature