Evidence map›Paper›PMID 35433018›Full record

ArticleDigital health

A digital mobile health platform increasing efficiency and transparency towards universal health coverage in low- and middle-income countries.

Liesbeth Huisman, Shannen Mc van Duijn, Nuno Silva, Rianne van Doeveren, Jacinta Michuki, Moses Kuria, David Otieno Okeyo, Isaiah Okoth, Nathalie Houben, Tobias F Rinke de Wit and 1 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

11 authors.

Liesbeth HuismanPharmAccess Foundation, Amsterdam, the Netherlands.
Shannen Mc van DuijnPharmAccess Foundation, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0003-1361-2711
Nuno SilvaPharmAccess Foundation, Amsterdam, the Netherlands.
Rianne van DoeverenPharmAccess Foundation, Amsterdam, the Netherlands.
Jacinta MichukiCarePay Ltd, Nairobi, Kenya.
Moses KuriaCarePay Ltd, Nairobi, Kenya.
David Otieno OkeyoDepartment of Health Kisumu, Seme, Kombewa Sub-County Hospital, Pau Akuche, Kenya.
Isaiah OkothPharmAccess Foundation Kenya, Nairobi, Kenya.
Nathalie HoubenPharmAccess Foundation Kenya, Nairobi, Kenya.
Tobias F Rinke de WitPharmAccess Foundation, Amsterdam, the Netherlands.
Khama RogoThe World Bank Group, Kenya Country Office, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In low-and middle-income countries, achieving universal health coverage remains challenging due to insufficient, temporary and fragmented funding as well as limited accessibility to quality healthcare. Leveraging a mobile health platform can be a powerful tool to address these problems. This paper demonstrates how analysing data collected from a mobile health platform helps optimize healthcare provider networks, monitor patient flows and assess the quality and equitability of access to care. The COVID-19 pandemic reinforces the importance of real-time data on health-seeking behaviour. Between 2018 and 2019, as a Kenyan universal health coverage pilot was being planned, Kisumu County, with support from PharmAccess Foundation, implemented household-level digital registration for healthcare and collected socio-economic and healthcare claims data using the M-TIBA platform. In total, 273,350 Kisumu households enrolled. The claims data showed many patients visit higher-level facilities for ailments, that can be treated at primary care levels, unnecessarily. High-level estimate of the disease burden at participating facilities revealed rampant overprescription of pertinent medicines for highly prevalent malaria and respiratory tract infections, exemplifying clinical management deficiencies. M-TIBA data allowed tracking of individual patient trajectories. Analyses of data are shown at the aggregate level. The paper shows how mobile health platforms can be used to generate valuable insights into access to and quality of care. Funding for healthcare can be united through mobile health platforms, limiting the fragmentation in funding. They can be useful for funders, health managers and policymakers to improve the implementation of universal health coverage programs in low-and middle-income countries.

Indexed as

Kenyamalariamobile digital healthrespiratory tract infectionsuniversal health coverage

Identifiers

PMID35433018
PMCPMC9005819

What OpenQuestion holds

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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.