Evaluation of the Performance of a hsRDT Versus cRDT in Reactive Case Detection of Malaria Infections
A systematic review assessing the role, appropriateness and benefits of the active case detection strategy, both proactive and reactive, in low malaria transmission settings. A common indication is that more studies should be carried out to optimize the ACD strategy to the local context, or to provide evidence for the adoption of improved methods. One possible improved method is the use of more accurate diagnostic tools, such as the hsRDT proposed in this study, with an increased capacity to detect lower levels of parasitemia. It can provide a timely and relevant contribution for their development of national Standard Operating Procedures for a screening tool in the reactive case detection strategy.
|Condition or Disease||Intervention/Treatment||Phase|
The study is conducted in the areas under Sakhanmaw Rural Health Center, Ann Township in Southern Rakhine State, Myanmar.
General objective was to evaluate the performance of the new highly-sensitive rapid diagnostic test (RDT) developed by SD Bioline versus conventional RDT, compared with PCR as the gold standard, in reactive case detection of malaria infections in Rakhine State, Myanmar.
To evaluate the prevalence of malaria identified by the new hsRDT in comparison with that by cRDT and PCR
To assess the diagnostic performance characteristics of hsRDT versus cRDT, using PCR as gold standard, in the detection of P.falciparum infections
To evaluate correlation of detection capability between cRDT and hsRDT
To identify risk factors associated with malaria infection, including but not limited to, socio-demographic factors and travel history related with malaria index cases
This is a prospective community-based single-center reactive case detection (RCD) study to assess the performance of hsRDT versus cRDT in identifying individuals with malaria infection ("Secondary case") in a population living and/or working in a close physical proximity to an "index case." All cases parasitologically confirmed by conventional RDT will be promptly notified to the study team and interviewed with a standardized case investigation form at their home, possibly within 3 days. All members of the primary case household and those of the nearest 10 households, aged 5 years and above, will be invited to participate in the study. A blood spot will be collected for subsequent PCR analysis. At least 50 index cases are targeted for investigation and reactive case detection and an estimated number of 1,980 persons will be involved in the study.
It is expected that this study will be an important input for the national malaria control program in Myanmar as they develop the strategies to conduct reactive case detection.
A suitable statistical software, e.g. STATA will be used to analyze the data resulting from the participant interviews and 3 parasitological tests. Logistic regression models will be developed to examine factors significantly associated with malaria infections.
Arms and Interventions
|Other: Diagnostic performance of hsRDT|
Comparing diagnostic power of two diagnostics
Diagnostic Test: hsRDT
Testing highly sensitive RDT detection for low parasitemia
Primary Outcome Measures
- Prevalence of malaria infections identified by the new hsRDT [PCR diagnosis of samples will occur after 10 months of data collection.]
Outcomes measured by malaria test positivity rate by cRDT, hsRDT and PCR, respectively
Secondary Outcome Measures
- Diagnostic performance characteristics of hsRDT versus cRDT using PCR as gold standard, in the detection of P.falciparum infections [Outcomes will be analyzed after 10 months of data collection]
Outcomes measured between hsRDT and cRDT
- Correlation of detection capability between cRDT and hsRDT [PCR results will be analyzed during month 10]
Outcomes measured by correlation of test positivity rates
- Risk factors associated with malaria infection cases [Outcome will be measured/analyzed in month 10, after PCR results are released]
Outcomes will be measured by relative risk of malaria in association with different risk factors identified
Age at least 5 years old
Resident of the villages, or temporary visitors, or co-workers or co-travelers of index case
Willingness to participate in the study evident by informed consent
Presence of severe clinical illness including severe malaria
Non-resident index cases
Refusal to participate in the study
Contacts and Locations
|1||University Research Co., LLC (URC)||Yangon||Myanmar|
Sponsors and Collaborators
- University Research Co, LLC
- Duke University
- United States Agency for International Development (USAID)
- Department of Medical Research, Lower Myanmar
- Centers for Disease Control and Prevention
- Study Chair: Saw Lwin, MD, University Research Co, LLC
- Study Chair: Feliciano Monti, MD, US Embassy, Yangon
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