Mercy Amulele

ORCID: 0009-0005-3618-714X
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About
Contact & Profiles
Research Areas
  • ICT in Developing Communities
  • Mobile Health and mHealth Applications
  • Global Maternal and Child Health
  • Innovative Human-Technology Interaction
  • Data Quality and Management
  • Innovative Approaches in Technology and Social Development
  • Data-Driven Disease Surveillance
  • Electronic Health Records Systems

Medic Mobile
2019-2025

Maternal mortality in Malawi is high, with low coverage of maternity care being a contributing factor. To improve maternal health coverage, an Android-based, integrated mobile (mHealth) app called YendaNafe was introduced to community workers (CHWs) the Neno district, rural Malawi. This study evaluates impact this on uptake antenatal (ANC), facility-based births, and postnatal (PNC), compared reference period where CHWs provided same services without mHealth, using interrupted time series...

10.2147/ijwh.s497100 article EN cc-by-nc International Journal of Women s Health 2025-01-01

Community health programs in low-resource settings (like rural Kenya) aim to provide essential services vulnerable populations. However, date, there has been limited research that explores the design of mechanisms enable care recipients feedback regarding their satisfaction with they receive. Such potential increase motivation community workers (CHWs), enhance training procedures, detect fraudulent behavior, and inform key performance indicators for programs. Our paper deployment a...

10.1145/3359173 article EN Proceedings of the ACM on Human-Computer Interaction 2019-11-07

Accurate and efficient record linkage methods are essential to link patients between community health worker digital apps an EMR system, facilitating information flow improving coordination of care. This study presents the eTrace workflow as illustrative example, highlighting benefits enhanced care for in antiretroviral non-communicable disease programs rural Neno district, Malawi. research focuses on following major contributions: (1) development a machine learning-based model electronic...

10.1145/3624773 article EN ACM Journal on Computing and Sustainable Societies 2023-10-12
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