Detection of adverse drug events in e-prescribing and administrative health data: a validation study.

ABSTRACT:

Background

Administrative health data are increasingly used to detect adverse drug events (ADEs). However, the few studies evaluating diagnostic codes for ADE detection demonstrated low sensitivity, likely due to narrow code sets, physician under-recognition of ADEs, and underreporting in administrative data. The objective of this study was to determine if combining an expanded ICD code set in administrative data with e-prescribing data improves ADE detection.

Methods

We conducted a prospective cohort study among patients newly prescribed antidepressant or antihypertensive medication in primary care and followed for 2 months. Gold standard ADEs were defined as patient-reported symptoms adjudicated as medication-related by a clinical expert. Potential ADEs in administrative d

SUBMITTER: Habib B 

PROVIDER: S-EPMC8063436 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature