ArticleHuman resources for health2019
The impact of the health care workforce on under-five mortality in rural China.
Article in Human resources for health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Better Governance and Skilled Health Workforce Density: Are They Twin Catalysts for Health Outcomes in Sub-Saharan Africa?Public health challenges · 2026Article
- The impact of herbal medicine development on the population health in China.Scientific reports · 2026Article
- Reducing urban-rural disparities in maternal and child mortality in China: a 33-year analysis and projection to 2030.Journal of global health · 2026Article
- Rural revitalization, carbon emissions, and infectious disease transmission in China: nonlinear dynamics, spatial spillovers, and moderating effect.Frontiers in public health · 2026Article
- Determinants of equitable public health human resource allocation in China: a multidimensional analysis using RIF-I-OLS decomposition.Human resources for health · 2025Article
- Burden of cardiovascular disease among the Western Pacific region and its association with human resources for health, 1990-2021: a systematic analysis of the Global Burden of Disease Study 2021.The Lancet regional health. Western Pacific · 2024Article
- Governance systems for skilled health worker migration, their public value and competing priorities: an interpretive scoping review.Global health action · 2022Article
- Socio-economic factors affecting high infant and child mortality rates in selected African countries: does globalisation play any role?Globalization and health · 2022Article
- Mitigating the Impacts of COVID-19 on Global Child Health: a Call to Action.Current tropical medicine reports · 2021Review
- Effectiveness of primary care gatekeeping: difference-in-differences evaluation of a pilot scheme in China.BMJ global health · 2020Article
- Associations Between Physician Supply Levels and Amenable Mortality Rates: An Analysis of Taiwan Over Nearly 4 Decades.Health services insights · 2020Article
- The differential impact of economic recessions on health systems in middle-income settings: a comparative case study of unequal states in Brazil.BMJ global health · 2020Article
- Determinants of Under-Five Mortality in Mozambique: Insights From the Demographic and Health Survey 2022/23.Sage open pediatricsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious studies have focused on the relationship between increases in the health care workforce and child health outcomes, but little is known about how this relationship differs in contexts where economic growth differs by initial level and pace. This study evaluates the association between increased health professionals and the under-five mortality rate (U5MR) in rural Chinese counties from 2008 to 2014 and examines whether this relationship differs among counties with different patterns of economic growth over this period.
methodsWe estimated fixed effects models with rural counties as the unit of analysis to evaluate the association between health professional density and U5MR. Covariates included county-level gross domestic product (GDP) per capita, female illiteracy rate, value of medical equipment per bed, and province-level health expenditures (measured as a proportion of provincial GDP). To explore modification effects, we assessed interactions between health professionals and county types defined by county poverty status and county-level trajectories of growth in GDP per capita. U5MR data have been adjusted for county-level underreporting, and all other data were obtained from administrative and official sources.
resultsThe U5MR dropped by 36.19% during the study period. One additional health professional per 1000 population was associated with a 2.6% reduction in U5MR, after controlling for other covariates. County poverty status and GDP trajectories moderated this relationship: the U5MR reductions attributed to a one-unit increase in health professionals were 6.8% among poor counties, but only 1.1% among non-poor ones. These reductions were, respectively, 6.7%, 0.7%, and 4.3% in counties with initially low GDP that slowly increased, medium-level GDP that rose at a moderate pace, and high GDP that rose rapidly.
conclusionsThis study demonstrates that increased health professionals were associated with reductions in U5MR. The largest association was seen in poor counties and those with low and slowly increasing GDP per capita, which justifies further expansion of the health care workforce in these areas. This study could be instructive for other developing countries to achieve Sustainable Development Goal 3 by helping them identify where additional health professionals would make the greatest contribution.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.