Evidence map›Paper›PMID 41501730›Full record

Observational studyMalaria journal2026

Accuracy of recording of malaria rapid diagnostic tests in Côte d'Ivoire.

Valérie A Bedia-Tanoh, Abibatou Konaté-Touré, Orphée M A Kangah-Kouakou, Anatole N N Mian, Antoine M Tanoh, Michael Humes, Kevin Griffith, John J Aponte, Emily Hilton, Shawna Cooper and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

12 authors.

Valérie A Bedia-TanohDepartment of Parasitology, Mycology, Animal Biology and, Zoology, Felix Houphouët-Boigny University, Abidjan, Côte d'Ivoire. akouaval@yahoo.fr.
Abibatou Konaté-TouréDepartment of Parasitology, Mycology, Animal Biology and, Zoology, Felix Houphouët-Boigny University, Abidjan, Côte d'Ivoire.
Orphée M A Kangah-KouakouMalaria Research and Control Centre, National Institute of Public Health, Abidjan, Côte d'Ivoire.
Anatole N N MianMalaria Research and Control Centre, National Institute of Public Health, Abidjan, Côte d'Ivoire.
Antoine M TanohNational Malaria Control Program, Abidjan, Côte d'Ivoire.
Michael HumesU.S. President's Malaria Initiative, USAID, Washington, DC, USA.
Kevin GriffithU.S. President's Malaria Initiative, USAID, Washington, DC, USA.
John J ApontePMI Insights, PATH, Geneva, Switzerland.
Emily HiltonPMI Insights, PATH, Geneva, Switzerland.
Shawna CooperAudere, Seattle, WA, USA.
Kim A LindbladePMI Insights, PATH, Geneva, Switzerland.
Yavo WilliamDepartment of Parasitology, Mycology, Animal Biology and, Zoology, Felix Houphouët-Boigny University, Abidjan, Côte d'Ivoire.

Funding

PMI Insights and the Bill & Melinda Gates Foundation, USAID (INV-043942), No. 7200AA20CA00031
6 · The paper itself

Abstract

backgroundAccurate malaria diagnosis and reporting are critical for effective case management and surveillance. In sub-Saharan Africa, rapid diagnostic tests (RDTs) are widely used to support clinical decision-making. However, limited data exist on the accuracy of recorded RDT results reported to health information systems. This study assessed the accuracy of recording of malaria RDT results documented in health facility registers in Côte d'Ivoire, as part of a multi-country evaluation.

methodsA mixed-methods, observational study was conducted across 16 primary health care facilities in two regions of Côte d'Ivoire between August and December 2023. For each patient tested for malaria, a digital image of the RDT cassette was captured and linked to the corresponding register entry. An independent panel of trained reviewers interpreted the RDT images, which served as the reference standard. Agreement between panel and register results was assessed using percent agreement and Cohen's kappa (κ). The positive predictive value (PPV) and negative predictive value (NPV) were calculated for the register result. Meta-regression was used to identify facility, healthcare worker (HCW), and patient characteristics associated with agreement.

resultsOf 11,161 matched RDT images and register entries, 57.9% were interpreted as positive by the external panel. Overall agreement between panel and register results was strong (κ = 0.83, 95% CI 0.77, 0.88), with a PPV of 90.7% and NPV of 94.8%. However, negative or invalid results were more frequently incorrectly recorded as positive (5.9%) than the reverse (2.0%). Recording errors occurred more often among patients noted in the register with a diagnosis of malaria or antimalarial prescription, suggesting potential systematic bias. District, patient volume, HCW cadre, and education level of the health worker were associated with agreement. Notably, HCWs who frequently performed or recorded RDTs had lower agreement levels. Most HCWs believed that a negative RDT could miss malaria and that treatment could still be warranted.

conclusionThe results from the study demonstrate that RDT results are recorded fairly accurately in Côte d'Ivoire. However, the disproportionate misclassification of negative results as positive may distort malaria surveillance data and test positivity rates. Strategies such as regular comparison of RDT cassettes with register entries, enhanced HCW training, and reinforcement of adherence to diagnostic guidelines may improve data quality and support evidence-based decision-making.

Indexed as

MalariaRapid Diagnostic TestsCote d'IvoireFemaleHumansCôte d’IvoireDataMalariaRDTReporting

Identifiers

PMID41501730
PMCPMC12870189

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.