Ontology highlight
ABSTRACT: Objective
To quantify discrepancies between opioid prescribing and dispensing via the percentage of patients with Electronic Medical Record (EMR) prescriptions who subsequently filled the prescription within 90 days, defined as congruence, and compared opioid congruence with related medications.Data sources
Deidentified data from the IBM MarketScan Explorys Claims-EMR Dataset.Study design
In this retrospective, observational study, we examined congruence for commonly prescribed controlled substances-opioids, stimulants, and benzodiazepines. Congruence was stratified by age group and sex.Data collection/extraction methods
Continuously enrolled adults aged 18-64 years with an EMR encounter (excluding inpatient settings) and ≥ 1 prescription for selected classe
SUBMITTER: Nataraj N
PROVIDER: S-EPMC8586485 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature