Novel mHealth Platform to Ensure Quality of Community-based Malaria Diagnosis

NACompletedINTERVENTIONAL
Enrollment

100

Participants

Timeline

Start Date

July 31, 2015

Primary Completion Date

April 30, 2016

Study Completion Date

April 30, 2016

Conditions
Quality Assurance of Malaria Diagnosis
Interventions
DEVICE

mHealth platform employing Fionet Deki Readers to ensure quality of community-based malaria diagnosis

The investigators propose to implement a new mobile interface that automatically reads and troubleshoots malaria rapid diagnostic test (RDT) cassettes. This device, called a Deki reader (DR), will allow the investigators to establish an extensive quality assurance program of malaria diagnosis performed by trained community health volunteers (CHVs). To ensure high-quality diagnosis by CHVs, the study team will deploy 10 Fionet DRs and rotate them amongst 200 CHVs who have been trained to do RDTs. In the first phase, each CHV will use the device for 10 successive clients presenting themselves for malaria diagnosis to the CHV, and then the device will be rotated to another CHV.

Trial Locations (1)

Unknown

Duke University, Eldoret

Sponsors

Lead Sponsor

All Listed Sponsors
lead

Duke University

OTHER

NCT02504593 - Novel mHealth Platform to Ensure Quality of Community-based Malaria Diagnosis | Biotech Hunter | Biotech Hunter