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E-health toolkit Nigeria

Origin language: English
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Target population
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BeneficiariesN/A
EvidenceN/A
Start date2018/03
End date2019/03
StageRoutine project/operational
Country
Nigeria
Coverage
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Nb of implementation sites
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Lead organization
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Health Focus Area
Maternal and child health
Communicable diseases
Services
Decision Support
Enabling technologies
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Tools
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Funders
Summary
The E-health Toolkit project introduces an advanced toolkit combining point-of-care (POC) diagnostics with electronic clinical decision support algorithms (CDSAs), designed according to the rigorous standards of the Foundation for Innovative New Diagnostics (FIND) and the World Health Organization (WHO). This toolkit empowers primary care health workers in resource-limited settings to accurately diagnose and manage febrile illnesses in children. By integrating validated POC results and robust CDSAs into daily clinical practice, the toolkit ensures that health workers make informed treatment decisions, optimizing care and enhancing patient outcomes. The project, running from March 1, 2018, to May 31, 2022, in Switzerland, focuses on routine operations in primary healthcare. It targets the management of diseases such as dengue and malaria, as well as the integrated management of newborn and childhood infections (IMNCI). The initiative aims to improve diagnostic accuracy and treatment decisions among community health workers by providing an integrated toolkit, developed with minimal and optimal criteria for effective management of childhood fevers in resource-limited settings. Funded by research grants from the Botnar Foundation, the Global Antimicrobial Resistance Innovation Fund, and UK Aid Direct, the project leverages qualitative evidence to support its implementation. The toolkit helps optimize patient care and outcomes by enabling healthcare workers to make informed therapeutic decisions. Further details and research on the project can be found in publications available on the National Center for Biotechnology Information (NCBI) website.
Keywords
Primary care health workers
Clinical Decision Support Systems CDSS CoP
Publications
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iDHA (Project ID)
2bcir0
Project links
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050342/
Origin of information
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Data source link
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Added to the platform on
2024-05-01
Project editors
Last update by
Sophie Delaigue on 2024-05-01
Number of views
128
WHO classifications
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