Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jun 12, 2024
Date Accepted: Apr 2, 2025

The final, peer-reviewed published version of this preprint can be found here:

Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: Systematic Review

Zhang M, Yang J, Li Y, Li Y, Li T, Dong Z, Gong S, Wu Y, Ren M, Fan C, Zhang L, Wang Y, Ren J, Sun F, Shen C, Li K, Liu Z, Zhan S

Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: Systematic Review

JMIR Public Health Surveill 2025;11:e63161

DOI: 10.2196/63161

PMID: 40526902

PMCID: 12187031

Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: A systematic review

  • Mengdi Zhang; 
  • Junting Yang; 
  • Yan Li; 
  • Yuan Li; 
  • Tong Li; 
  • Ziqi Dong; 
  • Shuo Gong; 
  • Yahui Wu; 
  • Minrui Ren; 
  • Chunxiang Fan; 
  • Lina Zhang; 
  • Yi Wang; 
  • Jingtian Ren; 
  • Feng Sun; 
  • Chuanyong Shen; 
  • Keli Li; 
  • Zhike Liu; 
  • Siyan Zhan

ABSTRACT

Background:

Active vaccine safety surveillance (AVSS) stands as a top priority for the World Health Organization (WHO), serving as a critical indicator of the fourth maturity level for national regulatory agencies.

Objective:

This review delineates the minimal data scope from association studies in vaccine safety, aiming to offer a reference for conducting AVSS systems worldwide, particularly in low- and middle-income countries.

Methods:

The study systematically searched PubMed, Embase, and Web of Science, identifying all cohort and case-control studies related to AVSS. Guided by the WHO and Council for International Organizations of Medical Sciences guidelines (CIOMS), we developed a four-dimension and three-level framework of Minimum Data Sets (MDS), including "vaccines", "outcomes", "demographics", and "covariates". Variables with a frequency of at least 5% are defined as the MDS.

Results:

Of the 123 included studies, 102 (82.93%) were cohort studies, 98 (79.67%) originated from developed countries and covered the entire life-course population. The MDS for COVID-19 vaccines identified 65 level-three variables. Meanwhile, for the maternal, it encompasses 50. The WHO guidelines were more in line with actual use than the other, but both need to be further optimized using this MDS. Regrettably, the Metadata associated with these essential variables lacked descriptions.

Conclusions:

This MDS offers specific guidance and succinct requirements for the data scope of AVSS. It is imperative to establish a globally standardized MDS and Metadata based on these findings to advance the global vaccine safety ecosystem. Clinical Trial: PROSPERO CRD42023449920


 Citation

Please cite as:

Zhang M, Yang J, Li Y, Li Y, Li T, Dong Z, Gong S, Wu Y, Ren M, Fan C, Zhang L, Wang Y, Ren J, Sun F, Shen C, Li K, Liu Z, Zhan S

Minimum Data Set and Metadata for Active Vaccine Safety Surveillance: Systematic Review

JMIR Public Health Surveill 2025;11:e63161

DOI: 10.2196/63161

PMID: 40526902

PMCID: 12187031

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.