Evidence map›Paper›PMID 41121359›Full record

ArticleTrials2025

The second-round evaluation of financial incentives on malaria prevalence in the Lake Victoria Basin, Kenya: updated study protocol for a cluster-randomized controlled trial.

Tomoya Matsumoto, Masaru Nagashima, Wataru Kagaya, Gordon Okomo, James Kongere, Jared Oginga, Victor Opiyo, Jesse Gitaka, Akira Kaneko

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Tomoya MatsumotoDepartment of Economics, Faculty of Commerce, Otaru University of Commerce, Otaru, Hokkaido, Japan.
Masaru NagashimaInstitute of Developing Economies Japan External Trade Organization (IDE-JETRO), Chiba, Japan. Masaru_Nagashima@ide.go.jp.ORCID http://orcid.org/0000-0002-1410-472X
Wataru KagayaDepartment of Ecoepidemiology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Gordon OkomoHoma Bay County Government, Homa Bay, Kenya.
James KongereCentre for Research on Tropical Medicine and Community Development, Mbita, Homa Bay, Kenya.
Jared OgingaCentre for Research on Tropical Medicine and Community Development, Mbita, Homa Bay, Kenya.
Victor OpiyoCentre for Research on Tropical Medicine and Community Development, Mbita, Homa Bay, Kenya.
Jesse Gitaka *Directorate of Research and Innovation, Mount Kenya University, Thika, Kiambu, Kenya.
Akira Kaneko *Department of Protozoology, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.

Funding

Japan Agency for Medical Research and Development 20JM0110020H0002Japan Society for the Promotion of Science 23KK0024Japan Society for the Promotion of Science JP21H051080
6 · The paper itself

Abstract

backgroundDespite significant progress in global malaria reduction since 2000, driven primarily by supply-side interventions including improvements in bed nets and medication availability, recent years have seen a stagnation in this decline. In certain regions, cases have even increased ([World Health Organization], [World Malaria Report], [2023]). This trend is particularly concerning in high-burden areas such as Suba South Sub-county in Homa Bay County, Kenya, where malaria remains a persistent public health challenge. However, demand-side barriers-such as lack of knowledge of the disease and perceived costs of prevention and treatment among residents-have been relatively overlooked in control efforts. To address this gap, we conducted a cluster-randomized controlled trial (cRCT) to investigate the impact of an educational intervention and financial incentives on malaria-related behaviors (Trials 25:165, 2024). This second-round cRCT aims to build upon the first-round findings, with modifications to the experimental design and educational content to further explore the potential of demand-side interventions and inform future malaria control strategies.

methodsThis second-round cRCT will re-randomize the original 92 clusters to either conditional cash transfer (CCT), lottery incentive scheme (LIS), or control arms. Each intervention arm will include updated malaria education and financial incentives linked to negative malaria test results, with reward amounts adjusted to reflect local inflation. We will re-assess malaria prevalence using RDT, microscopy, and PCR at 3 and 6 months post-intervention. The primary outcomes are changes in malaria prevalence, LLIN usage, and knowledge/perception of malaria. The analysis will combine data from both the first and second rounds to improve statistical power and provide a more comprehensive assessment of the intervention's impact. DISCUSSION: This study addresses the limitations of the first-round trial by increasing statistical power and refining the educational component. By evaluating the effectiveness of demand-side interventions, we aim to inform policy and program design for malaria control in high-burden settings. The resulting evidence on the role of demand-side factors will complement traditional supply-side approaches, ultimately refining future malaria control policies and programs. This research, thereby, has the potential to contribute to the development of sustainable, community-based strategies for malaria elimination. Trial registration UMIN000053284. Registered on January 6, 2024.

Indexed as

Health EducationMalariaMotivationHealth Knowledge, Attitudes, PracticeHumansKenyaPrevalenceRandomized Controlled Trials as TopicCluster-randomized controlled trialConditional cash transferKenyaLottery incentive schemeMalariaMalaria education

Identifiers

PMID41121359
PMCPMC12542348

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LicenceCC BY-NC-ND
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Registered trials

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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.