Evidence map›Paper›PMID 41204290›Full record

ArticleMalaria journal2025

Accuracy of recording and reporting of malaria rapid diagnostic tests in Nigeria.

Sunday Atobatele, Sidney Sampson, Evelyn Orya, Onyebuchi Okoro, Ese Akpiroroh, Hilary Okagbue, Shiva D Gab-Deedam, Olufisayo Bademosi, Ginini Atu, Kim A Lindblade and 11 more

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Sunday AtobateleSydani Group, Abuja, Nigeria. sunday.atobatele@sydani.org.
Sidney SampsonSydani Group, Abuja, Nigeria.
Evelyn OryaSydani Group, Abuja, Nigeria.
Onyebuchi OkoroNational Malaria Elimination Programme, Abuja, Nigeria.
Ese AkpirorohSydani Group, Abuja, Nigeria.
Hilary OkagbueSydani Institute for Research and Innovation, Plot 1422 Independence Avenue, Central Business District, Abuja, Nigeria.
Shiva D Gab-DeedamSydani Group, Abuja, Nigeria.
Olufisayo BademosiSydani Group, Abuja, Nigeria.
Ginini AtuSydani Group, Abuja, Nigeria.
Kim A LindbladePMI Insights Project, PATH, Seattle, WA, USA.
Al-Mustapha MukhtarSydani Group, Abuja, Nigeria.
Oluwafisayo AyodejiSydani Group, Abuja, Nigeria.
Eugene C EugeneSydani Group, Abuja, Nigeria.
John J ApontePMI Insights Project, PATH, Seattle, WA, USA.
Natalie GallesPMI Insights Project, PATH, Seattle, WA, USA.
Michael HumesU. S. President's Malaria Initiative, USAID, Washington, DC, USA.
Kevin GriffithU. S. President's Malaria Initiative, USAID, Washington, DC, USA.
Shawna CooperAudere, Seattle, WA, USA.
Nnenna OgbulaforNational Malaria Elimination Programme, Abuja, Nigeria.
Chukwu OkoronkwoNational Malaria Elimination Programme, Abuja, Nigeria.
Godwin NtadomNational Malaria Elimination Programme, Abuja, Nigeria.

Funding

Bill and Melinda Gates Foundation INV- 043942United States Agency for International Development No. 7200AA20CA00031
6 · The paper itself

Abstract

backgroundMalaria remains a major health concern in Nigeria. Rapid diagnostic tests (RDTs) are widely used in health facilities to confirm malaria before treatment. However, concerns remain about healthcare workers (HCWs) adherence to, and reporting of test results. This study assessed the accuracy of RDT results recorded in health facility registers in two states of Nigeria by comparing them with an unbiased reference standard and explored factors influencing interrater agreement.

methodsA mixed-method evaluation was conducted in 16 health facilities across Oyo and Sokoto States. RDTs performed by HCWs were photographed using a digital RDT reader and independently re-interpreted by a trained, independent, objective panel. Surveys of health facilities and HCWs collected data on factors that could influence RDT recording. Interrater agreement between RDT results recorded by HCWs in facility registers and the external panel was assessed using Cohen's kappa. A meta-analytical approach was used to calculate a pooled summary kappa value across facilities, and potential moderators of agreement were examined, including characteristics of facilities, HCWs and RDTs.

resultsOut of 19,586 RDTs captured, 18,319 were included in the analysis. Overall, 6.2% of RDTs were misrecorded as positive and 3.7% as negative in health facility registers, yielding a positive predictive value of 87.2% (95% confidence interval [CI] 86.4%, 87.8%) and negative predictive value of 92.9%. The overall percentage agreement was 90.2% (95% CI 89.7%, 90.6%), and the pooled kappa statistic was 0.80 (95% CI 0.75, 0.85), indicating strong agreement. However, kappa values varied substantially across facilities (range: 0.59, 0.92). Lower agreement was observed in facilities in Sokoto State and in areas with lower malaria prevalence and test positivity. Faint test lines, found in 8.8% of RDTs, were associated with a significantly increased likelihood of results misrecorded as negative. HCWs were more likely to misrecord RDT results as positive when a malaria diagnosis or antimalarial prescription had been made.

conclusionWhile overall agreement between facility registers and panel-interpreted RDT results was strong, the proportion of results misrecorded as positive and negative highlight the need for improved training, supportive supervision, and mechanisms to promote accurate RDT interpretation and recording. Targeted interventions are essential to ensure the reliability of routine malaria data and support national control efforts.

Indexed as

Diagnostic Tests, RoutineMalariaHealth FacilitiesHealth PersonnelHumansNigeriaRapid Diagnostic TestsMaCRAMalaria Data AccuracyRDTTPR

Identifiers

PMID41204290
PMCPMC12595662

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.