Comparison of 3 Surveillance Methods to Detect Potential Controlled Substance Diversion in an Academic Medical Center.

ABSTRACT: Objectives: To compare 3 methods of detecting potential diversion of controlled substances (CS) by health care personnel from inpatient units in a large, academic medical center. Methods: Three different reports were retrospectively analyzed and evaluated to determine which employees are "high-risk" for diversion over a 30-day period using defined criteria. Reports were derived from automated dispensing machines (ADMs), purchased third-party software (TPS), and the electronic health record (EHR). The primary outcome was the percentage of employees in each report who were deemed to be high-risk for CS diversion (positive predictive value [PPV]). Secondary outcomes included the number of false positives and description of high-risk users on each report. Descriptive statistics w

SUBMITTER: Derington CG 

PROVIDER: S-EPMC7502867 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature