Evidence map›Paper›PMID 41535861›Full record

ArticleMalaria journal2026

Using sentinel surveillance system data to characterize severe malaria illness and quality of malaria case management among hospitalized patients in Kenya, 2017-2024.

Megumi Itoh, Naomi Lucchi, Jonathan Schultz, George O Agogo, Peninah Munyua, Duncan Chege, Doris Naitore Mwenda, Steve Akoth, Victor Sumbi, Mildred Shieshia and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Megumi ItohMalaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Diseases, Centers for Disease Control and Prevention, Nairobi, Kenya. gvm8@cdc.gov.
Naomi LucchiDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya.
Jonathan SchultzMalaria Branch, Division of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Diseases, Centers for Disease Control and Prevention, Kisumu, Kenya.
George O AgogoDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya.
Peninah MunyuaDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya.
Duncan ChegeICAP at Columbia University, Nairobi, Kenya.
Doris Naitore MwendaICAP at Columbia University, Nairobi, Kenya.
Steve AkothICAP at Columbia University, Nairobi, Kenya.
Victor SumbiPresident's Malaria Initiative, United States Agency for International Development, Nairobi, Kenya.
Mildred ShieshiaPresident's Malaria Initiative, United States Agency for International Development, Nairobi, Kenya.
Regina KandieNational Malaria Control Programme, Kenya Ministry of Health, Nairobi, Kenya.
Edwin Oluoch OnyangoNational Malaria Control Programme, Kenya Ministry of Health, Nairobi, Kenya.
Jonas Z HinesDivision of Global Health Protection, Global Health Center, Centers for Disease Control and Prevention, Nairobi, Kenya.

Funding

CGH CDC HHS U01 GH000033Cooperative agreements with ICAP at Columbia University NU2HGH000033
6 · The paper itself

Abstract

backgroundIn Kenya, limited clinical data on hospitalized malaria patients restricts insights into disease severity and care quality. Using data from the Integrated Facility-based Surveillance (IFBS) system-a sentinel surveillance platform for febrile illnesses across twelve facilities-the assessment focused on risk factors for severe illness and mortality, diagnostic accuracy of microscopy, and adherence to severe malaria treatment guidelines.

methodsAnalysis of IFBS data obtained from June 2017 to July 2024 was performed using bivariable logistic regression to identify factors linked to severe illness and deaths. Microscopy results were compared with PCR results to assess diagnostic concordance. Evaluation also included whether patients received parasitological confirmation before treatment and if severe cases received IV artesunate followed by artemether-lumefantrine (AL), per standard guidelines.

resultsAmong 8,487 inpatients, 2,197 (25.9%) tested positive for malaria by either microscopy or rapid diagnostic test; among malaria cases, 713 (32.5%) had severe disease and 16 (0.7%) died. Infants had greater odds of severe illness compared to older ages (odds ratio [OR] was < 1.0 for other age groups compared to ≤ 1 year-old). Both severe illness and death were associated with fever duration of ≥ 5 days compared to ≤ 1 day (ORs: 3.67 and 8.00, respectively) and having been referred from another facility (ORs: 3.01 and 3.15, respectively). Positive microscopy at the health facility was PCR negative in 21% of patients. Only 15% of severe cases were documented to have received both IV artesunate and AL, while 17% received IV quinine.

conclusionsModifiable factors that suggested delayed care-seeking were associated with worse malaria outcomes in Kenya. Furthermore, gaps in diagnostic accuracy and adherence to treatment protocols for severe malaria were observed during chart review. These findings point to the importance of behaviour change strategies as well as messaging in the community that promote timely care-seeking, referrals and follow-up, especially for the youngest children. Potential malaria over-diagnosis underscores the need for strengthening quality assured microscopy programs with adequate training of microscopists and properly functioning microscopes and reagents, as well as an external quality assurance programme that routinely provide feedback on performance and identify areas for improvement.

Indexed as

Case ManagementHospitalizationMalariaSentinel SurveillanceAdolescentAdultAgedAntimalarialsArtemether, Lumefantrine Drug CombinationChildChild, PreschoolFemaleHumansInfantInfant, NewbornKenyaAntimalarialsArtemether, Lumefantrine Drug CombinationAfricaKenyaMalariaQuality of health careSentinel surveillance

Identifiers

PMID41535861
PMCPMC12888659

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.