Evaluation of the interpretation and reporting of malaria RDT results with PMI Insights

Objectives

This project under PMI Insights will accomplish following objectives:

1. Measure agreement between HCW and panel RDT results in Benin, Côte d’Ivoire, Nigeria and Uganda;
2. Measure the statistical association between key characteristics of HCWs, RDT guidelines, health systems, malaria epidemiology and patient demographics and type of agreement/disagreement between the HCW and panel RDT results;
3. Understand how characteristics of HCWs, RDT guidelines, health systems, malaria epidemiology and patient demographics affect the ability of HCWs to accurately implement, interpret, use, record and report RDT results;
4. Assess the fidelity of data entry from health facility registers to the health management information system (HMIS);
5. Determine the degree of over- and under- treatment for malaria and statistical associations with characteristics of HCWs, RDT guidelines, health systems, malaria epidemiology and patient demographics;
6. Determine whether there is an observer impact of the study on monthly number of RDT positive results and TPRs;
7. Determine the frequency of RDT anomalies that affect visual interpretation of results;
8. Calculate the accuracy of HealthPulse (Audere, Seattle, WA), a smartphone-based application that uses artificial intelligence to interpret RDT results, compared to the panel RDT results after training on a random selection of RDT photographs; and
9. Determine the durability of RDT results over time by comparing agreement of RDT results read at one week and one month after administration with the initial read.