Evidence map›Paper›PMID 35974324›Full record

ArticleBMC health services research2022

Management of human resources for health: implications for health systems efficiency in Kenya.

Lizah Nyawira, Benjamin Tsofa, Anita Musiega, Joshua Munywoki, Rebecca G Njuguna, Kara Hanson, Andrew Mulwa, Sassy Molyneux, Isabel Maina, Charles Normand and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
18.3field-weighted citation impact, top 1% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 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

12 authors at 5 institutions in 3 countries.

Lizah NyawiraHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Benjamin TsofaHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Anita MusiegaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Joshua MunywokiHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Rebecca G NjugunaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Kara HansonFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Andrew MulwaDirectorate of Medical Services, preventive and promotive health, Ministry of Health, Nairobi, Kenya.
Sassy MolyneuxHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Isabel MainaHealth Financing Department, Ministry of Health, Nairobi, Kenya.
Charles NormandCentre for Health Policy and Management, Trinity College, the University of Dublin, Dublin, Ireland.
Julie JemutaiHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Edwine BarasaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya. ebarasa@kemri-wellcome.org.
Kenya Medical Research Institute · KEMinistry of Health · KEUniversity of Oxford · GBFaculty of Public Health · GBTrinity College Dublin · IE

Funding

Medical Research Council MR/R01373X/1MRC/FCDO/ ESRC/Wellcome Trust Health Systems Research MR/R01373X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundHuman resources for health consume a substantial share of healthcare resources and determine the efficiency and overall performance of health systems. Under Kenya's devolved governance, human resources for health are managed by county governments. The aim of this study was to examine how the management of human resources for health influences the efficiency of county health systems in Kenya.

methodsWe conducted a case study using a mixed methods approach in two purposively selected counties in Kenya. We collected data through in-depth interviews (n = 46) with national and county level HRH stakeholders, and document and secondary data reviews. We analyzed qualitative data using a thematic approach, and quantitative data using descriptive analysis.

resultsHuman resources for health in the selected counties was inadequately financed and there were an insufficient number of health workers, which compromised the input mix of the health system. The scarcity of medical specialists led to inappropriate task shifting where nonspecialized staff took on the roles of specialists with potential undesired impacts on quality of care and health outcomes. The maldistribution of staff in favor of higher-level facilities led to unnecessary referrals to higher level (referral) hospitals and compromised quality of primary healthcare. Delayed salaries, non-harmonized contractual terms and incentives reduced the motivation of health workers. All of these effects are likely to have negative effects on health system efficiency.

conclusionsHuman resources for health management in counties in Kenya could be reformed with likely positive implications for county health system efficiency by increasing the level of funding, resolving funding flow challenges to address the delay of salaries, addressing skill mix challenges, prioritizing the allocation of health workers to lower-level facilities, harmonizing the contractual terms and incentives of health workers, and strengthening monitoring and supervision.

Indexed as

Government ProgramsLocal GovernmentHumansKenyaMedical AssistanceWorkforceEfficiencyHuman resources for HealthKenyaPerformance

Identifiers

PMID35974324
PMCPMC9382760
OpenAlexW4293498773

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.