Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Enhancing malaria-in-pregnancy monitoring

Stakeholder experiences and data integration into the BornFyne-PNMS digital platform in Cameroon

Bibliographic Data

ID21880955
AuthorsArmel Mekountchou Tasségning (Health Promotion Agency), Veronica Shiroya (0000-0003-1772-9116, Heidelberg University), Valery Ngo (Centre Pasteur du Cameroun), Franck Wanda (CARE International), Victor Ndiforchu (Centre Pasteur du Cameroun), Nkengfac Fobellah (Ministry of Public Health), Marcelin Ateba (Ministerio de Salud Pública), Dominique Bomba (Ministry of Public Health), Alice Tabebot (Ministry of Public Health), Zacchaeus Ebongo (Ministry of Public Health), Donaldson F Conserve (0000-0001-8193-817X, Milken Institute), Mwenya Kasonde (0000-0001-8608-8493, Public Health England), Taddesse Tamrat (0000-0001-8579-5698, World Health Organization), Maria Barreix (0000-0003-3613-9672, World Health Organization), Rosemary K Muliokela (0000-0003-0614-3646, World Health Organization), Nasser Bangai Tizi (Ministry of Public Health), Sanni Yaya (0000-0002-4876-6043, The George Institute for Global Health), Miriam Nkangu (0000-0001-8039-9979, Centre Pasteur du Cameroun)
Year2026
Volume11
Issue7
Pagese020527
Publication date2026-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2025-020527
PMID42409427
OpenAlexW7167471587
LanguageEN
References cited18

Malaria in pregnancy (MiP) is a significant public health concern in high-burden malaria countries and a key predictor of high-risk pregnancies in Cameroon. One of the challenges of the National Malaria Control Programme (NMCP) in Cameroon is to generate reliable, timely, accurate and actionable data to inform decision-making, effective monitoring and planning. Discussions with the NMCP at the Ministry of Public Health (MoPH) identified poor data quality, lack of clear guidelines, manual data processing at the district level and delays in feedback on data as key bottlenecks in effective implementation of malaria control in Cameroon. This paper documents the data gaps for MiP identified by the digital health platform, BornFyne, project team in collaboration with the MoPH. We outlined lessons learnt in identifying and defining MiP-related indicators through stakeholder engagement across various levels, and identifying priority MiP elements for health facility registers for integration into the BornFyne digital platform. These lessons and insights will provide valuable guidance for other countries looking to incorporate malaria-related content into their antenatal care packages and/or to integrate similar content into their digital health platforms, and suggestions for strengthening the WHO digital adaptation kit MiP content

Christian ministry · Data integration · Digital health · Health care · Malaria · Public health · Stakeholder · Global Maternal and Child Health · Malaria Research and Control · Mosquito-borne diseases and control · Health Informatics

  • Beyond Adoption

    Open Access•Trisha Greenhalgh, Joseph Wherton et al.•Journal of Medical Internet…•2017

  • Uncovering the Benefits of Participatory Research

    Open Access•Justin Jagosh, Ann C Macaulay et al.•Milbank Quarterly•2012

  • Factors associated with the uptake of intermittent preventive treatment for malaria during pregnancy in Cameroon

    Open Access•Dominique Ken Guimsop, Ange Faustine Kenmogne Talla et al.•PLOS Global Public Health•2024

  • Best practices in scaling digital health in low and middle income countries

    Open Access•Alain Labrique, Christina Wadhwani et al.•Globalization and Health•2018

  • A stakeholder analysis

    Open Access•Z Varvasovszky•Health Policy and Planning•2000

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae