Cargando…

Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review

BACKGROUND: Most post-licensure vaccine pharmacovigilance in low- and middle-income countries (LMICs) are passive reporting systems. These have limited utility for maternal immunization pharmacovigilance in LMIC settings and need to be supplemented with active surveillance. Our study’s main objectiv...

Descripción completa

Detalles Bibliográficos
Autores principales: Berrueta, Mabel, Ciapponi, Agustin, Bardach, Ariel, Cairoli, Federico Rodriguez, Castellano, Fabricio J., Xiong, Xu, Stergachis, Andy, Zaraa, Sabra, Meulen, Ajoke Sobanjo-ter, Buekens, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968860/
https://www.ncbi.nlm.nih.gov/pubmed/33731029
http://dx.doi.org/10.1186/s12884-021-03686-9
_version_ 1783666131225018368
author Berrueta, Mabel
Ciapponi, Agustin
Bardach, Ariel
Cairoli, Federico Rodriguez
Castellano, Fabricio J.
Xiong, Xu
Stergachis, Andy
Zaraa, Sabra
Meulen, Ajoke Sobanjo-ter
Buekens, Pierre
author_facet Berrueta, Mabel
Ciapponi, Agustin
Bardach, Ariel
Cairoli, Federico Rodriguez
Castellano, Fabricio J.
Xiong, Xu
Stergachis, Andy
Zaraa, Sabra
Meulen, Ajoke Sobanjo-ter
Buekens, Pierre
author_sort Berrueta, Mabel
collection PubMed
description BACKGROUND: Most post-licensure vaccine pharmacovigilance in low- and middle-income countries (LMICs) are passive reporting systems. These have limited utility for maternal immunization pharmacovigilance in LMIC settings and need to be supplemented with active surveillance. Our study’s main objective was to identify existing perinatal data collection systems in LMICs that collect individual information on maternal and neonatal health outcomes and could be developed to inform active safety surveillance of novel vaccines for use during pregnancy. METHODS: A scoping review was performed following the Arksey and O’Malley six-stage approach. We included studies describing electronic or mixed paper-electronic data collection systems in LMICs, including research networks, electronic medical records, and custom software platforms for health information systems. Medline PubMed, EMBASE, Global Health, Cochrane Library, LILACS, Bibliography of Asian Studies (BAS), and CINAHL were searched through August 2019. We also searched grey literature including through Google and websites of existing relevant perinatal data collection systems, as well as contacted authors of key studies and experts in the field to validate the information and identify additional sources of relevant unpublished information. RESULTS: A total of 11,817 records were identified. The full texts of 264 records describing 96 data collection systems were assessed for eligibility. Eight perinatal data collection systems met our inclusion criteria: Global Network’s Maternal Newborn Health Registry, International Network for the Demographic Evaluation of Populations and their Health; Perinatal Informatic System; Pregnancy Exposure Registry & Birth Defects Surveillance; SmartCare; Open Medical Record System; Open Smart Register Platform and District Health Information Software 2. These selected systems were qualitatively characterized according to seven different domains: governance; system design; system management; data management; data sources, outcomes and data quality. CONCLUSION: This review provides a list of active maternal and neonatal data collection systems in LMICs and their characteristics as well as their outreach, strengths, and limitations. Findings could potentially help further understand where to obtain population-based high-quality information on outcomes to inform the conduct of maternal immunization active vaccine safety surveillance activities and research in LMICs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-03686-9.
format Online
Article
Text
id pubmed-7968860
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-79688602021-03-18 Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review Berrueta, Mabel Ciapponi, Agustin Bardach, Ariel Cairoli, Federico Rodriguez Castellano, Fabricio J. Xiong, Xu Stergachis, Andy Zaraa, Sabra Meulen, Ajoke Sobanjo-ter Buekens, Pierre BMC Pregnancy Childbirth Research Article BACKGROUND: Most post-licensure vaccine pharmacovigilance in low- and middle-income countries (LMICs) are passive reporting systems. These have limited utility for maternal immunization pharmacovigilance in LMIC settings and need to be supplemented with active surveillance. Our study’s main objective was to identify existing perinatal data collection systems in LMICs that collect individual information on maternal and neonatal health outcomes and could be developed to inform active safety surveillance of novel vaccines for use during pregnancy. METHODS: A scoping review was performed following the Arksey and O’Malley six-stage approach. We included studies describing electronic or mixed paper-electronic data collection systems in LMICs, including research networks, electronic medical records, and custom software platforms for health information systems. Medline PubMed, EMBASE, Global Health, Cochrane Library, LILACS, Bibliography of Asian Studies (BAS), and CINAHL were searched through August 2019. We also searched grey literature including through Google and websites of existing relevant perinatal data collection systems, as well as contacted authors of key studies and experts in the field to validate the information and identify additional sources of relevant unpublished information. RESULTS: A total of 11,817 records were identified. The full texts of 264 records describing 96 data collection systems were assessed for eligibility. Eight perinatal data collection systems met our inclusion criteria: Global Network’s Maternal Newborn Health Registry, International Network for the Demographic Evaluation of Populations and their Health; Perinatal Informatic System; Pregnancy Exposure Registry & Birth Defects Surveillance; SmartCare; Open Medical Record System; Open Smart Register Platform and District Health Information Software 2. These selected systems were qualitatively characterized according to seven different domains: governance; system design; system management; data management; data sources, outcomes and data quality. CONCLUSION: This review provides a list of active maternal and neonatal data collection systems in LMICs and their characteristics as well as their outreach, strengths, and limitations. Findings could potentially help further understand where to obtain population-based high-quality information on outcomes to inform the conduct of maternal immunization active vaccine safety surveillance activities and research in LMICs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-03686-9. BioMed Central 2021-03-17 /pmc/articles/PMC7968860/ /pubmed/33731029 http://dx.doi.org/10.1186/s12884-021-03686-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Berrueta, Mabel
Ciapponi, Agustin
Bardach, Ariel
Cairoli, Federico Rodriguez
Castellano, Fabricio J.
Xiong, Xu
Stergachis, Andy
Zaraa, Sabra
Meulen, Ajoke Sobanjo-ter
Buekens, Pierre
Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review
title Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review
title_full Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review
title_fullStr Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review
title_full_unstemmed Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review
title_short Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review
title_sort maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: a scoping review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968860/
https://www.ncbi.nlm.nih.gov/pubmed/33731029
http://dx.doi.org/10.1186/s12884-021-03686-9
work_keys_str_mv AT berruetamabel maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT ciapponiagustin maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT bardachariel maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT cairolifedericorodriguez maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT castellanofabricioj maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT xiongxu maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT stergachisandy maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT zaraasabra maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT meulenajokesobanjoter maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT buekenspierre maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview
AT maternalandneonataldatacollectionsystemsinlowandmiddleincomecountriesformaternalvaccinesactivesafetysurveillancesystemsascopingreview