Evidence map›Paper›PMID 42471648›Full record

ArticleBMC health services research2026

Transforming hemodialysis access in Kenya: a national assessment of the Managed Equipment Services model.

Ephantus Njagi, Sasha Wawira, Jonah Onentiah, Kenneth Iloka, Laban Thiga, Nicholas Muraguri

Abstract read
PubMed Publisher
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.

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

6 authors.

Ephantus NjagiDepartment of Human Pathology, University of Nairobi, P.O. Box 19676, Nairobi, 00202, Kenya. enjagi@uonbi.ac.ke.
Sasha WawiraIndependent Researcher, Nairobi, Kenya.
Jonah OnentiahMinistry of Health, Nairobi, Kenya.
Kenneth IlokaSchool of Engineering and Technology, Kenyatta University, Nairobi, Kenya.
Laban ThigaMinistry of Health, Nairobi, Kenya.
Nicholas MuraguriMinistry of Health, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionKenya introduced the Managed Equipment Services (MES) model in 2015 as a seven-year national contract to address significant gaps in access to hemodialysis, which had previously been available in fewer than ten public hospitals. The MES aimed to expand hemodialysis capacity by centralizing procurement, standardizing equipment, and ensuring maintenance across all 47 counties. This study provides the first national evaluation of hemodialysis performance under the MES model.

methodsWe conducted a multi-year retrospective analysis of 54 public hospitals equipped through the MES, six years after implementation, using data from the MES contract, the MES final survey, NHIF reimbursement schedules, and the 2019 Population Census. Hemodialysis system performance was assessed across four domains, including capacity, utilization, reporting accuracy, and cost efficiency, using descriptive statistics, time series trends, and discrepancy analysis.

resultsA total of 54 hemodialysis centers equipped with 305 machines were established across all 47 counties, resulting in national densities of 1.14 centers and 6.41 machines per million people. Machine density varied more than 30-fold across counties. Between June 2015 and April 2021, 392,497 hemodialysis sessions were conducted, with monthly utilization increasing by 376%, from 2,100 sessions in June 2015 to 10,173 in April 2021. Time-series regression showed a significant upward trend (+75.5 sessions per month, R

conclusionThe MES significantly increased Kenya's public hemodialysis capacity and supported rapid nationwide growth in service use. However, disparities in geography, facilities, and documentation persisted, with many hospitals operating below capacity and inconsistent reporting. Although the program broke even financially and had a positive return on investment, facility performance varied widely. These results show that expanding infrastructure alone was not enough to achieve equity or efficient hemodialysis service delivery, highlighting the need to improve staffing, data quality, and system coordination to make the most of future renal care investments.

Indexed as

Health Services AccessibilityRenal DialysisHospitals, PublicHumansKenyaRetrospective StudiesChronic kidney diseaseHealthcare infrastructureHemodialysisKenyaManaged equipment servicesPublic-private partnership

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.