Evidence map›Paper›PMID 37164365›Full record

Observational studyBMJ (Clinical research ed.)2023

Association between inequalities in human resources for health and all cause and cause specific mortality in 172 countries and territories, 1990-2019: observational study.

Wenxin Yan, Chenyuan Qin, Liyuan Tao, Xin Guo, Qiao Liu, Min Du, Lin Zhu, Zhongdan Chen, Wannian Liang, Min Liu and 1 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
30.1field-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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  8. Can family health alleviate income-related health disparity in China? A population-based study.Archives of public health = Archives belges de sante publique · 2026
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3 more citing papers are in PubMed but not listed here.

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

11 authors at 6 institutions in 2 countries.

Wenxin YanSchool of Public Health, Peking University, Haidian District, Beijing, China.
Chenyuan QinSchool of Public Health, Peking University, Haidian District, Beijing, China.
Liyuan TaoResearch Center of Clinical Epidemiology, Peking University Third Hospital, Haidian District, Beijing, China.
Xin GuoDepartment of Institutional Reform, National Health Commission of the People's Republic of China, Xicheng District, Beijing, China.
Qiao LiuSchool of Public Health, Peking University, Haidian District, Beijing, China jueliu@bjmu.edu.cn.
Min DuSchool of Public Health, Peking University, Haidian District, Beijing, China.
Lin ZhuDepartment of Health Policy, School of Medicine, Stanford University, Stanford, CA, USA.
Zhongdan ChenWorld Health Organization Representative Office for China, Chaoyang District, Beijing, China.
Wannian LiangVanke School of Public Health, Tsinghua University, Haidian District, Beijing, China.
Min LiuSchool of Public Health, Peking University, Haidian District, Beijing, China jueliu@bjmu.edu.cn.
Jue LiuSchool of Public Health, Peking University, Haidian District, Beijing, China jueliu@bjmu.edu.cn.ORCID 0000-0002-1938-9365
Peking University · CNBeijing Chaoyang Emergency Medical Center · CNHarvard University · USNational Development and Reform Commission · CNStanford University · USVanke (China) · CN

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveTo explore inequalities in human resources for health (HRH) in relation to all cause and cause specific mortality globally in 1990-2019.

designObservational study.

setting172 countries and territories. DATA SOURCES: Databases of the Global Burden of Disease Study 2019, United Nations Statistics, and Our World in Data.

main outcome measuresThe main outcome was age standardized all cause mortality per 100 000 population in relation to HRH density per 10 000 population, and secondary outcome was age standardized cause specific mortality. The Lorenz curve and the concentration index (CCI) were used to assess trends and inequalities in HRH.

resultsGlobally, the total HRH density per 10 000 population increased, from 56.0 in 1990 to 142.5 in 2019, whereas age standardized all cause mortality per 100 000 population decreased, from 995.5 in 1990 to 743.8 in 2019. The Lorenz curve lay below the equality line and CCI was 0.43 (P<0.05), indicating that the health workforce was more concentrated among countries and territories ranked high on the human development index. The CCI for HRH was stable, at about 0.42-0.43 between 1990 and 2001 and continued to decline (narrowed inequality), from 0.43 in 2001 to 0.38 in 2019 (P<0.001). In the multivariable generalized estimating equation model, a negative association was found between total HRH level and all cause mortality, with the highest levels of HRH as reference (low: incidence risk ratio 1.15, 95% confidence interval 1.00 to 1.32; middle: 1.14, 1.01 to 1.29; high: 1.18, 1.08 to 1.28). A negative association between total HRH density and mortality rate was more pronounced for some types of cause specific mortality, including neglected tropical diseases and malaria, enteric infections, maternal and neonatal disorders, and diabetes and kidney diseases. The risk of death was more likely to be higher in people from countries and territories with a lower density of doctors, dentistry staff, pharmaceutical staff, aides and emergency medical workers, optometrists, psychologists, personal care workers, physiotherapists, and radiographers.

conclusionsInequalities in HRH have been decreasing over the past 30 years globally but persist. All cause mortality and most types of cause specific mortality were relatively higher in countries and territories with a limited health workforce, especially for several specific HRH types among priority diseases. The findings highlight the importance of strengthening political commitment to develop equity oriented health workforce policies, expanding health financing, and implementing targeted measures to reduce deaths related to inadequate HRH to achieve universal health coverage by 2030.

Indexed as

Global HealthMalariaCause of DeathHealth WorkforceHumansInfant, NewbornWorkforce

Identifiers

PMID37164365
PMCPMC10170610
OpenAlexW4376105826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.