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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2015-07-31

Study Completion Date

2016-04-30

Brief Summary

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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). The study will lease 10 DRs and rotate them amongst 200 CHVs performing community-based malaria diagnosis through rapid diagnostic testing. The study setting is Bungoma East subcounty and Kiminini subcounty in Kenya. The overall goal is to measure and improve the quality of malaria diagnosis by CHVs using malaria RDTs. The investigators aim for every CHW to exceed 90% sensitivity and specificity and zero operator errors within six months. There are no appreciable risks to the CHV associated with evaluation by the DR device. The investigators' analysis will focus on descriptive statistics of RDT use and accuracy amongst all participating CHVs.

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Detailed Description

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Conditions

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Quality Assurance of Malaria Diagnosis

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Study Groups

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Community health volunteers

The study subjects are all community health volunteers in community units in Kenya (10 community units in Bungoma East and 6 community units in Kiminini) that have been trained to provide community-based malaria diagnosis through rapid diagnostic testing.

Group Type OTHER

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

Intervention Type DEVICE

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.

Interventions

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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.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* All community health volunteers in 10 community units in Bungoma East and 6 community units in Kiminini that have been trained to provide community-based malaria diagnosis through rapid diagnostic testing are eligible.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes