Evidence map›Paper›PMID 38289943›Full record

ArticlePloS one2024

Health systems' capacity in availability of human resource for health towards implementation of Universal Health Coverage in Kenya.

Ismail Adow Ahmed, James Kariuki, David Mathu, Stephen Onteri, Antony Macharia, Judy Mwai, Priscah Otambo, Violet Wanjihia, Joseph Mutai, Sharon Mokua and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.8field-weighted citation impact, top 3% of its field
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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Ismail Adow AhmedCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.ORCID 0000-0001-6591-0169
James KariukiCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
David MathuCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
Stephen OnteriCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.ORCID 0000-0003-3327-5126
Antony MachariaCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.ORCID 0009-0002-4943-7484
Judy MwaiCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
Priscah OtamboCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
Violet WanjihiaCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
Joseph MutaiCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
Sharon MokuaCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.ORCID 0000-0002-3063-8270
Lilian NyandiekaCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.ORCID 0000-0003-2129-7563
Elizabeth EchokaCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.ORCID 0000-0002-6843-2788
Doris NjomoKenya Medical Research Institute Kenya, Eastern and Southern Africa Centre of International Parasite Control, Nairobi, Kenya.ORCID 0000-0003-3935-4036
Zipporah BukaniaCentre for Public Health Research, Kenya Medical Research Institute Kenya, Nairobi, Kenya.
Kenya Medical Research Institute · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionKenya faces significant challenges related to health worker shortages, low retention rates, and the equitable distribution of Human Resource for Health (HRH). The Ministry of Health (MOH) in Kenya has established HRH norms and standards that define the minimum requirements for healthcare providers and infrastructure at various levels of the health system. The study assessed on the progress of Universal Health Coverage (UHC) piloting on Human Resource for Health in the country.

methodsThe study utilized a Convergent-Parallel-Mixed-Methods design, incorporating both quantitative and qualitative approaches. The study sampled diverse population groups and randomly selected health facilities. Four UHC pilot counties are paired with two non-UHC pilot counties, one neighboring county and the second county with a geographically distant and does not share a border with any UHC pilot counties. Stratification based on ownership and level was performed, and the required number of facilities per stratum was determined using the square root allocation method. Data on the availability of human resources for health was collected using a customized Kenya Service Availability and Readiness Assessment Mapping (SARAM) tool facilitated by KoBo ToolKitTM open-source software. Data quality checks and validation were conducted, and the HRH general service availability index was measured on availability of Nurses, Clinician, Nutritionist, Laboratory technologist and Pharmacist which is a minimum requirement across all levels of health facilities. Statistical analyses were performed using IBM SPSS version 27 and comparisons between UHC pilot counties and non-UHC counties where significance threshold was established at p < 0.05. Qualitative data collected using focus group discussions and in-depth interview guides. Ethical approval and research permits were obtained, and written informed consent was obtained from all participants.

resultsThe study assessed 746 health facilities with a response rate of 94.3%. Public health facilities accounted for 75% of the sample. The overall healthcare professional availability index score was 17.2%. There was no significant difference in health workers' availability between UHC pilot counties and non-UHC pilot counties at P = 0.834. Public health facilities had a lower index score of 14.7% compared to non-public facilities at 27.0%. Rural areas had the highest staffing shortages, with only 11.1% meeting staffing norms, compared to 31.8% in urban areas and 30.4% in peri-urban areas. Availability of health workers increased with the advancement of The Kenya Essential Package for Health (KEPH Level), with all Level 2 facilities across counties failing to meet MOH staffing norms (0.0%) except Taita Taveta at 8.3%. Among specific cadres, nursing had the highest availability index at 93.2%, followed by clinical officers at 52.3% and laboratory professionals at 55.2%. The least available professions were nutritionists at 21.6% and pharmacist personnel at 33.0%. This result is corroborated by qualitative verbatim.

conclusionThe study findings highlight crucial challenges in healthcare professional availability and distribution in Kenya. The UHC pilot program has not effectively enhanced healthcare facilities to meet the standards for staffing, calling for additional interventions. Rural areas face a pronounced shortage of healthcare workers, necessitating efforts to attract and retain professionals in these regions. Public facilities have lower availability compared to private facilities, raising concerns about accessibility and quality of care provided. Primary healthcare facilities have lower availability than secondary facilities, emphasizing the need to address shortages at the community level. Disparities in the availability of different healthcare cadres must be addressed to meet diverse healthcare needs. Overall, comprehensive interventions are urgently needed to improve access to quality healthcare services and address workforce challenges.

Indexed as

Delivery of Health CareUniversal Health InsuranceGovernment ProgramsHumansKenyaWorkforce

Identifiers

PMID38289943
PMCPMC10826929
OpenAlexW4391363010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.