Evidence map›Paper›PMID 35589142›Full record

ArticleBMJ global health2022

Estimating the threshold of health workforce densities towards universal health coverage in Africa.

Adam Ahmat, James Avoka Asamani, Mourtala Mahaman Abdou Illou, Jean Jacques Salvador Millogo, Sunny C Okoroafor, Juliet Nabyonga-Orem, Humphrey Cyprian Karamagi, Jennifer Nyoni

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
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  6. Employed but Unpaid, Volunteers or Paradoxical Surplus? Sierra Leone's Unsalaried Health Workforce.The International journal of health planning and management · 2026
    Article
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  15. Ectopic pregnancy.Nature reviews. Disease primers · 2024
    Review
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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

8 authors at 1 institution in 1 country.

Adam AhmatHealth Workforce Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo adam.ahmat@gmail.com.ORCID 0000-0002-3708-264X
James Avoka AsamaniHealth Workforce Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.
Mourtala Mahaman Abdou IllouHealth Workforce Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.
Jean Jacques Salvador MillogoHealth Workforce Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.
Sunny C OkoroaforHealth Workforce Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0003-4690-485X
Juliet Nabyonga-OremHealth Financing Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.ORCID 0000-0002-1061-8678
Humphrey Cyprian KaramagiData and Knowledge Management Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.
Jennifer NyoniHealth Workforce Unit, World Health Organization Regional Office for Africa, Brazzaville, Congo.
World Health Organization Regional Office for Africa · CG

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThere have been past efforts to develop benchmarks for health workforce (HWF) needs across countries which have been helpful for advocacy and planning. Still, they have neither been country-specific nor disaggregated by cadre-primarily due to data inadequacies. This paper presents an analysis to estimate a threshold of 13 cadres of HWF density to support the progressive realisation of universal health coverage (UHC).

methodUsing UHC service coverage as the outcome measure, a two-level structural equation model was specified and analysed in STATA V.16. In the first level of structural equations, health expenditure per capita-one of the cross-cutting inputs for UHC, was used to explain the critical inputs for service delivery/coverage. In the second level of the model, the critical inputs for service delivery were used to explain the UHC Service Coverage Index (UHC SCI), in which the contribution of the HWF was 'partial out'.

resultsThe analysis found that a unit increase in the HWF density per 10 000 population is positively associated with statistically significant improvements in the UHC SCI of countries (β=0.127, p<0.001). Similarly, a positive and statistically significant association was established between diagnostic readiness and the UHC SCI (β=0.243, p=0.015). Essential medicines readiness was positively correlated but not statistically significant (β=0.053, p=0.658). Controlling for other variables, a density of 134.23 per 10 000 population across 13 HWF categories is necessary to attain at least 70% UHC SCI.

conclusionConsistent with current knowledge, the HWF is a significant predictor of the UHC SCI. Attaining at least 70% of the UHC SCI requires about 134.23 health workers (a mix of 13 cadres) per 10 000 population.

Indexed as

Health WorkforceUniversal Health InsuranceHealth ExpendituresHealth PersonnelHealth ServicesHumansAfricaHealth workforce densityHRH planningHuman Resources for HealthReduced Gradient (GRG) approachstructural equation modelThreshold densityUniversal Health Coverage (UHC) service index

Identifiers

PMID35589142
PMCPMC9109029
OpenAlexW4280542293

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.