Using SMS to Monitor Malaria in Uganda
Author Information
Author(s): Asiimwe Caroline, Gelvin David, Lee Evan, Sundaram Lakshmi, Ben Amor Yanis, Quinto Ebony, Katureebe Charles, Berg Matt
Primary Institution: Foundation for Innovative New Diagnostics
Hypothesis
Can an SMS-based reporting system improve malaria data collection in remote areas of Uganda?
Conclusion
The SMS-based reporting system significantly improved the timeliness and accuracy of malaria data collection in Uganda's remote health facilities.
Supporting Evidence
- The SMS reporting system was implemented at over 140 clinics with a low setup cost.
- More than 85% of health facilities reported weekly without additional supervision.
- Compliance with sending weekly reports was 88.6%, significantly better than traditional paper-based methods.
Takeaway
This study shows that using text messages can help health workers quickly report malaria cases, making it easier to manage treatments and supplies.
Methodology
The study implemented an SMS-based reporting system in two districts of Uganda, training health workers to send weekly reports on malaria cases and treatment stock levels.
Potential Biases
Potential bias due to reliance on self-reported data from health workers.
Limitations
The study did not include hospitals and higher-level health facilities in the SMS reporting system.
Participant Demographics
Health workers from 147 health centers in Gulu and Kabale districts.
Digital Object Identifier (DOI)
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