Diagnostic accuracy of routine malaria tests and antimalarial prescription practices at health facilities in a endemic setting in Uganda

Accurate malaria test results are a prerequisite for effective malaria case management. The accuracy of routine Rapid Diagnostic Test [RDTs] and microscopy at lower level health centers (HC) in Uganda was determined. Patient exit interviews were conducted at all HC IV and IIIs and 20% of HC IIs in 11 districts of Busoga sub-region. A total of 210 febrile outpatients of all ages were enrolled from facilities in each district. Data on routine malaria test results (RDT or microscopy) and prescribed antimalarials were obtained from patient medical records. Additionally, a blood sample was collected from each patient for repeat RDT testing and thick blood smear examination by, experts, and which served as the reference standard for comparison with corresponding routine test results. Agreement was measured using percentage agreement and Cohens Kappa (κ). Standard measures of diagnostic accuracy for binary diagnostic tests were calculated. Clustering at the facility level was adjusted for. Sampling weights were applied to account for the survey design. A total of 3981 patients were included in the analysis. Overall, for routine RDTs, κ was 0.77 (95% CI 0.72, 0.81) and was similar across facility and age categories. κ was lowest at Private for Profit (PFP; 0.48, 95% CI 0.09, 0.87) facilities. Sensitivity and specificity was 92.9% (95 CI 89.8%, 95.0%) and 83.6% (95% CI 78.4%, 87.8%) and remained the same across facility and age categories. Sensitivity and specificity estimates were lowest at PFP facilities; 76.0% (95 CI: 41.4, 93.4) and 75.0% (95% CI 39.7%, 93.2%), respectively. The overall area under the curve (AUC) was high 0.87 (95% CI 0.81, 0.92) but lowest at PFP facilities 0.76, (95% CI 0.67, 0.86). Routine microscopy, demonstrated low agreement (κ 0.11, 95% CI 0.01, 0.20), sensitivity (69.7%, 95% CI 52.3, 82.8%). and specificity (52.7%, 95% CI 44.0%, 61.2%) and remained low across facility types and age groups. Agreement levels and diagnostic accuracy of routine RDTs was relatively good and that of routine microscopy very poor. Performance of both tests was lowest at PFPs. There is an urgent need to improve performance of malaria tests, especially for microscopy and for both tests at PFP facilities.

Authors

Institutions

Publication Details

Journal
Malaria Journal
Published
2026-09-14
DOI
https://doi.org/10.1186/s12936-026-06134-1
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Diagnostic accuracy of routine malaria tests and antimalarial prescription practices at health facilities in a endemic setting in Uganda

Mansour Ranjbar, Joan N. Kalyango, Arthur Mpimbaza, Bosco Agaba et al.
Malaria Journal
Malaria Research and Control
article

Diagnostic accuracy of routine malaria tests and antimalarial prescription practices at health facilities in a endemic setting in Uganda

Mansour Ranjbar, Joan N. Kalyango, Arthur Mpimbaza, Bosco Agaba, Anne Katahoire, Charles Karamagi, Harriet M. Babikako, Patricia Akello, Robert W. Snow, Catherin Maiteki, Dan Kyabayinza, Nelson Ssewante, Grace Ndeezi
article en

Abstract

Accurate malaria test results are a prerequisite for effective malaria case management. The accuracy of routine Rapid Diagnostic Test [RDTs] and microscopy at lower level health centers (HC) in Uganda was determined. Patient exit interviews were conducted at all HC IV and IIIs and 20% of HC IIs in 11 districts of Busoga sub-region. A total of 210 febrile outpatients of all ages were enrolled from facilities in each district. Data on routine malaria test results (RDT or microscopy) and prescribed antimalarials were obtained from patient medical records. Additionally, a blood sample was collected from each patient for repeat RDT testing and thick blood smear examination by, experts, and which served as the reference standard for comparison with corresponding routine test results. Agreement was measured using percentage agreement and Cohens Kappa (κ). Standard measures of diagnostic accuracy for binary diagnostic tests were calculated. Clustering at the facility level was adjusted for. Sampling weights were applied to account for the survey design. A total of 3981 patients were included in the analysis. Overall, for routine RDTs, κ was 0.77 (95% CI 0.72, 0.81) and was similar across facility and age categories. κ was lowest at Private for Profit (PFP; 0.48, 95% CI 0.09, 0.87) facilities. Sensitivity and specificity was 92.9% (95 CI 89.8%, 95.0%) and 83.6% (95% CI 78.4%, 87.8%) and remained the same across facility and age categories. Sensitivity and specificity estimates were lowest at PFP facilities; 76.0% (95 CI: 41.4, 93.4) and 75.0% (95% CI 39.7%, 93.2%), respectively. The overall area under the curve (AUC) was high 0.87 (95% CI 0.81, 0.92) but lowest at PFP facilities 0.76, (95% CI 0.67, 0.86). Routine microscopy, demonstrated low agreement (κ 0.11, 95% CI 0.01, 0.20), sensitivity (69.7%, 95% CI 52.3, 82.8%). and specificity (52.7%, 95% CI 44.0%, 61.2%) and remained low across facility types and age groups. Agreement levels and diagnostic accuracy of routine RDTs was relatively good and that of routine microscopy very poor. Performance of both tests was lowest at PFPs. There is an urgent need to improve performance of malaria tests, especially for microscopy and for both tests at PFP facilities.

Malaria Journal
Mbarara University of Science and Technology (UG), Kenya Medical Research Institute (KE), University of Oxford (GB), Ministry of Health (UG), World Health Organization - Uganda (UG), Makerere University (UG)
Good health and well-being
Openalex Percentile: Top 8%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.