Use of routinely collected electronic healthcare data for postlicensure vaccine safety signal detection: A systematic review

Abstract

Background Concerns regarding adverse events following vaccination (AEFIs) are a key challenge for public confidence in vaccination. Robust postlicensure vaccine safety monitoring remains critical to detect adverse events, including those not identified in prelicensure studies, and to ensure public safety and public confidence in vaccination. We summarise the literature examined AEFI signal detection using electronic healthcare data, regarding data sources, methodological approach and statistical analysis techniques used. Methods We performed a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Five databases (PubMed/Medline, EMBASE, CI..