Ontology highlight
ABSTRACT: Introduction
Information on suspected adverse drug reactions (ADRs) voluntarily submitted by patients can be a valuable source of information for improving drug safety; however, public awareness of reporting mechanisms remains low. Whilst methods to automatically detect ADR mentions from social media posts using text mining techniques have been proposed to improve reporting rates, it is unclear how acceptable these would be to social media users.Objective
The objective of this study was to explore public opinion about using automated methods to detect and report mentions of ADRs on social media to enhance pharmacovigilance efforts.Methods
Users of the online health discussion forum HealthUnlocked participated in an online survey (N = 1359) about experiences with ADR
SUBMITTER: Bulcock A
PROVIDER: S-EPMC8053157 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature