Evidence map›Paper›PMID 39649436›Full record

ArticleJournal of public health in Africa2024

Improving transparency in malaria programme funds: A business case for connected diagnostics in Kenya.

Charlotte M Dieteren, Emmanuel Milimo, Angela Siteyi, Shannen van Duijn, Leon Stijvers, Lilyana Dayo, Gregory Ganda, Tobias F Rinke de Wit

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2024. 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

8 authors.

Charlotte M DieterenPharmAccess Foundation, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-7809-1657
Emmanuel MilimoPharmAccess Foundation, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-7098-754X
Angela SiteyiPharmAccess Foundation, Nairobi, Kenya.ORCID https://orcid.org/0009-0000-7602-8921
Shannen van DuijnPharmAccess Foundation, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0003-1361-2711
Leon StijversPharmAccess Foundation, Amsterdam, the Netherlands.ORCID https://orcid.org/0009-0003-2304-3919
Lilyana DayoKisumu County Department of Health, Kisumu, Kenya.ORCID https://orcid.org/0009-0003-1891-4767
Gregory GandaKisumu County Department of Health, Kisumu, Kenya.ORCID https://orcid.org/0000-0003-4969-6777
Tobias F Rinke de WitPharmAccess Foundation, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-5876-2564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: International vertical health financing programmes risk functioning in parallel with existing domestic funding in low- and middle-income countries (LMICs), leading to inefficient service delivery and concomitant poor health outcomes. Aim: We assessed the opportunities offered by digitalised diagnostics (ConnDx) to target and monitor health funds to those in need objectively and transparently. Setting: ConnDx was rolled out in five private health facilities in Kisumu, Kenya. Methods: The ConnDx process was codeveloped with the local Department of Health of Kisumu. We used the quantitative data generated by ConnDx. We also calculated the costs for ConnDx and standard care to assess potential cost reductions. Results: In total, 2199 malaria cases were detected among 11 689 patients with fever. ConnDx allowed for the identification of malaria hotspots, semi-real-time assessment of patient health seeking behaviour across facilities and insights in doctor's prescription behaviours. Based on these insights, we estimated a 25% reduction in costs can be realised, while simultaneously better quality indicators can be monitored. Conclusion: The concept of ConnDx can be used for any medical condition that can be diagnosed in a digital manner and linked to mobile payment systems. The generated data can contribute to better quality services for individual patients while at the same time support local health policy makers and managers for more targeted interventions. Contribution: The ConnDx approach can help decision makers in LMICs to channel disease-specific funds to the right patients for the right disease at the right time, which can potentially accelerate the way to universal health coverage.

Indexed as

ConnDxdigitalisationefficiencyhealth financingvertical funds

Identifiers

PMID39649436
PMCPMC11622518

What OpenQuestion holds

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LicenceCC BY
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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.