Evidence map›Paper›PMID 41404127›Full record

ArticleFrontiers in drug safety and regulation2025

Background incidence rates from electronic healthcare databases for vaccine safety monitoring: review of challenges from the COVID-19 vaccination campaign and proposal for best practices.

Sonja Gandhi-Banga, Laurence Serradell, Deborah Layton, Jill Dreyfus, Nicolas Praet, Diana C Garofalo, Vincent Bauchau, Scott P Kelly, Lin Li

Abstract read
In one paragraph

Article in Frontiers in drug safety and regulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sonja Gandhi-BangaEpidemiology and Benefit Risk, Patient Safety and Pharmacovigilance, Sanofi, Toronto, ON, Canada.
Laurence SerradellEpidemiology and Benefit Risk, Patient Safety and Pharmacovigilance, Sanofi, Lyon, France.
Deborah LaytonPEPI Consultancy Limited, Southampton, United Kingdom.
Jill DreyfusGlobal Medical Epidemiology, Pfizer, Inc, New York, NY, United States.
Nicolas PraetGlobal Epidemiology Organization, Johnson and Johnson, Beerse, Belgium.
Diana C GarofaloGlobal Medical Epidemiology, Pfizer, Inc, New York, NY, United States.
Vincent BauchauIndependent, Previously Vaccine Safety, GlaxoSmithKline (GSK), Wavre, Belgium.
Scott P KellyGlobal Medical Epidemiology, Pfizer, Inc, New York, NY, United States.
Lin LiEpidemiology and Benefit Risk, Patient Safety and Pharmacovigilance, Sanofi, Morristown, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background incidence rates (BIRs) are essential for contextualizing adverse event rates in vaccine safety monitoring, particularly through observed-to-expected (O/E) analyses. The unprecedented rapid development of vaccines during the coronavirus disease 2019 (COVID-19) pandemic necessitated rigorous and continuous safety monitoring. While BIRs are traditionally obtained from literature reviews, the pandemic accelerated the large-scale generation of BIRs from electronic healthcare databases through various initiatives such as the vACCine covid-19 monitoring readinESS (ACCESS) and the Biologics Effectiveness and Safety (BEST) to support COVID-19 vaccine safety surveillance strategies. The Beyond COVID-19 Monitoring Excellence (BeCOME) initiative, launched in 2022, established seven working groups, including one focused on best practices for BIR generation and utilization in pharmacovigilance activities. The BeCOME BIR working group conducted a targeted literature review to enable focused analysis of challenges that emerged during large-scale vaccination campaigns through December 2023. The group also used structured group discussion following the nominal group technique over 10 months to develop consensus-based judgments on critical factors for BIR best practices. The findings were organized into four domains: key initiatives summary, pandemic-related challenges, implications for O/E analyses, and best practice recommendations. To identify key BIR initiatives supporting COVID-19 vaccine safety assessment, the review employed multiple strategies including scientific literature examination, public health authority website reviews, and reference list searches; data on study characteristics, limitations, challenges, and recommendations were extracted. The targeted review focused on five major initiatives, such as ACCESS and BEST, that generated BIRs for adverse events of special interest (AESIs) during the pandemic. The group identified persistent challenges during the vaccination campaign including timeliness constraints during rapid vaccine deployment, substantial heterogeneity across data sources, inconsistent case definitions, limited information for key subpopulations, and difficulties addressing emerging AESIs. These challenges directly impacted O/E analyses, potentially leading to biased safety signal assessments. We propose a coordinated action plan among key stakeholders to establish sustainable mechanisms for regular BIR delivery with methodological improvements, develop consensus on best practices for BIR selection, and secure resources to ensure pandemic preparedness. Implementing these recommendations will strengthen vaccine safety monitoring systems for both routine vaccination programs and future public health emergencies.

Indexed as

adverse events of special interestbackground incidence ratesbest practicesCOVID-19 vaccineelectronic healthcare databasessafety monitoring

Identifiers

PMID41404127
PMCPMC12702953

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.