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Using maternal and neonatal data collection systems for coronavirus disease 2019 (COVID-19) vaccines active safety surveillance in low- and middle-income countries: an international modified Delphi study [version 1; peer review: 2 approved, 1 approved with reservations]

Authors :
Sarah Matthews
María Belizán
Alejandra Gurtman
Flor M. Munoz
Lisa M. Noguchi
Fernando Althabe
Annettee Nakimuli
Lakshmi Panagiotakopoulos
Federico Rodriguez Cairoli
Jennifer C. Nelson
Kissa W. Mwamwitwa
Veronica Pingray
Xu Xiong
Christine Guillard
Elizabeth M. McClure
Esperanca Sevene
Pierre Buekens
Sabra Zaraa
Andy Stergachis
Judith Absalon
Mabel Berrueta
Steven A. Anderson
Source :
Gates Open Research, Vol 5 (2021)
Publication Year :
2021
Publisher :
F1000 Research Ltd, 2021.

Abstract

Background: Given that pregnant women are now included among those for receipt coronavirus disease 2019 (COVID-19) vaccines, it is important to ensure that information systems can be used (or available) for active safety surveillance, especially in low- and middle-income countries (LMICs). The aim of this study was to build consensus about the use of existing maternal and neonatal data collection systems in LMICs for COVID-19 vaccines active safety surveillance, a basic set of variables, and the suitability and feasibility of including pregnant women and LMIC research networks in COVID-19 vaccines pre-licensure activities. Methods: A three-stage modified Delphi study was conducted over three months in 2020. An international multidisciplinary panel of 16 experts participated. Ratings distributions and consensus were assessed, and ratings’ rationale was analyzed. Results: The panel recommended using maternal and neonatal data collection systems for active safety surveillance in LMICs (median 9; disagreement index [DI] -0.92), but there was no consensus (median 6; DI 1.79) on the feasibility of adapting these systems. A basic set of 14 maternal, neonatal, and vaccination-related variables. Out of 16 experts, 11 supported a basic set of 14 maternal, neonatal, and vaccination-related variables for active safety surveillance. Seven experts agreed on a broader set of 26 variables.The inclusion of pregnant women for COVID-19 vaccines research (median 8; DI -0.61) was found appropriate, although there was uncertainty on its feasibility in terms of decision-makers’ acceptability (median 7; DI 10.00) and regulatory requirements (median 6; DI 0.51). There was no consensus (median 6; DI 2.35) on the feasibility of including research networks in LMICs for conducting clinical trials amongst pregnant women. Conclusions: Although there was some uncertainty regarding feasibility, experts recommended using maternal and neonatal data collection systems and agreed on a common set of variables for COVID-19 vaccines active safety surveillance in LMICs.

Details

Language :
English
ISSN :
25724754
Volume :
5
Database :
Directory of Open Access Journals
Journal :
Gates Open Research
Publication Type :
Academic Journal
Accession number :
edsdoj.81dc532b55924f9982da71cd29273c85
Document Type :
article
Full Text :
https://doi.org/10.12688/gatesopenres.13305.1