Evidence map›Paper›PMID 41654880›Full record

ArticleBMC health services research2026

Digitalizing Uganda's health supply chain system through an integrated solar-powered infrastructure at hard-to-reach health facilities.

Shamim Nakade, Denis Okidi, Joseph Emiku, Joel Miti, John Wasswa, Micheal Odal, Raphael Abila, Amuzah Nshabaruhanga, Anthony Kirunda, Martin Oteba and 7 more

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

17 authors.

Shamim NakadeManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda. shammy.grace@gmail.com.
Denis OkidiManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Joseph EmikuManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Joel MitiManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
John WasswaManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Micheal OdalManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Raphael AbilaManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Amuzah NshabaruhangaManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Anthony KirundaManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Martin OtebaManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.
Elvis MugabiSignalytic Uganda Plot 7k, Old Port Bell Rd, Kampala, Uganda.
Bryan PlummerSignalytic Uganda Plot 7k, Old Port Bell Rd, Kampala, Uganda.
Nico ChristofiSignalytic Uganda Plot 7k, Old Port Bell Rd, Kampala, Uganda.
Solomon MuhumuzaMinistry of Health, P. O. Box 6, Kampala, Uganda.
Paul MbakaMinistry of Health, P. O. Box 6, Kampala, Uganda.
Martha AjulongMinistry of Health, P. O. Box 6, Kampala, Uganda.
Eric LugadaManagement Sciences for Health, P. O. Box 71419, Kampala, Uganda.

Funding

United States Agency for International Development 72061720CA00008
6 · The paper itself

Abstract

backgroundThe Electronic Logistics Management Information Systems (eLMIS) have been adopted to track health commodity transactions. Yet challenges including limited or no connection to power grid, and internet connectivity continue to persist affecting eLMIS implementation. From a 2020/21 eLMIS Uganda assessment, 73% and 61% health facilities had no connection to internet and main electricity grid respectively. Hence an integrated infrastructure using renewable energy and powerful networking technology was adopted for commodity data tracking and visibility in health facilities not connected to the national power grid with no/weak internet connectivity in Uganda. We describe how the infrastructure improves commodity data visibility in remote facilities and compares to conventional hardware in cost.

methodsA modified, 7-step approach by United Nations Sustainable Development Group was used to guide infrastructure installation. Infrastructure was rolled-out in 10 sites in Yumbe District, Uganda. Data on system uptime (consecutive number of days per month that solar power, internet network connectivity, and handheld terminal access was available), data synchronization (transmission) rates into the national data warehouse and deployment costs were analyzed.

resultsBetween January 2023 and June 2024, system uptime was high at 98.9% across all 10 sites including district infrastructure used for monitoring purposes only. Data synchronization rate from the nine facilities was 82% above national average of 42% for other eLMIS. Remote support successfully resolved 57% of issues including hardware replacement. Challenges namely enhanced infrastructure at some facilities required National Product Catalogue adjustments. Deployment cost estimate for solar-powered infrastructure and conventional hardware across a five- year period, was USD 9,000 and USD 16,500 respectively for a facility III with 10 service points.

conclusionThe results demonstrate that use of integrated solar-powered infrastructure enhance commodity digital data capture and transmission in remote facilities by utilizing reliable renewable energy and powerful network. The lower deployment costs, remote “over the air” support, and high performance support the inclusion solar-powered infrastructure in developing countries digital health policies and scale-up plans. More research is required to establish performance on a more complex facility wide end to end digital scale and detailed cost-benefit analysis to provide in-sights on potential return on investment.

Indexed as

Equipment and SuppliesHealth FacilitiesInternetSolar EnergySustainable DevelopmentUgandaCost estimateData visibilityHealth commodity dataIntegrated solar-powered infrastructureInternet connectivity

Identifiers

PMID41654880
PMCPMC12977414

What OpenQuestion holds

Textmetadata
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.