Evidence map›Paper›PMID 32296671›Full record

ArticleFrontiers in public health2020

Health System Outcomes in BRICS Countries and Their Association With the Economic Context.

Piotr Romaniuk, Angelika Poznańska, Katarzyna Brukało, Tomasz Holecki

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
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  4. Risk modelling of ESG (environmental, social, and governance), healthcare, and financial sectors.Risk analysis : an official publication of the Society for Risk Analysis · 2025
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Socioeconomic Determinants of Universal Health Coverage in the Asian Region.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Quantifying the burden of the post-ICU syndrome in South Africa: A scoping review of evidence from the public health sector.The Southern African journal of critical care : the official journal of the Critical Care Society · 2022
    Article
  16. Article
  17. Leaving No Child Behind: Decomposing Socioeconomic Inequalities in Child Health for India and South Africa.International journal of environmental research and public health · 2021
    Article
  18. Anaemia in Children and Adolescents: A Bibliometric Analysis of BRICS Countries (1990-2020).International journal of environmental research and public health · 2021
    Article
  19. Article
  20. Article
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

4 authors.

Piotr RomaniukDepartment of Health Policy, Faculty of Health Sciences in Bytom, Medical University of Silesia in Katowice, Bytom, Poland.
Angelika PoznańskaDepartment of Health Policy, Faculty of Health Sciences in Bytom, Medical University of Silesia in Katowice, Bytom, Poland.
Katarzyna BrukałoDepartment of Health Policy, Faculty of Health Sciences in Bytom, Medical University of Silesia in Katowice, Bytom, Poland.
Tomasz HoleckiDepartment of Health Economics and Management, Faculty of Health Sciences in Bytom, Medical University of Silesia in Katowice, Bytom, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the article is to compare health system outcomes in the BRICS countries, assess the trends of their changes in 2000-2017, and verify whether they are in any way correlated with the economic context. The indicators considered were: nominal and per capita current health expenditure, government health expenditure, gross domestic product (GDP) per capita, GDP growth, unemployment, inflation, and composition of GDP. The study covered five countries of the BRICS group over a period of 18 years. We decided to characterize countries covered with a dataset of selected indicators describing population health status, namely: life expectancy at birth, level of immunization, infant mortality rate, maternal mortality ratio, and tuberculosis case detection rate. We constructed a unified synthetic measure depicting the performance of individual health systems in terms of their outcomes with a single numerical value. Descriptive statistical analysis of quantitative traits consisted of the arithmetic mean (xsr), standard deviation (SD), and, where needed, the median. The normality of the distribution of variables was tested with the Shapiro-Wilk test. Spearman's rho and Kendall tau rank coefficients were used for correlation analysis between measures. The correlation analyses have been supplemented with factor analysis. We found that the best results in terms of health care system performance were recorded in Russia, China, and Brazil. India and South Africa are noticeably worse. However, the entire group performs visibly worse than the developed countries. The health system outcomes appeared to correlate on a statistically significant scale with health expenditures per capita, governments involvement in health expenditures, GDP per capita, and industry share in GDP; however, these correlations are relatively weak, with the highest strength in the case of government's involvement in health expenditures and GDP per capita. Due to weak correlation with economic background, other factors may play a role in determining health system outcomes in BRICS countries. More research should be recommended to find them and determine to what extent and how exactly they affect health system outcomes.

Indexed as

Outcome Assessment, Health CareBrazilChinaHumansIndiaInfantInfant, NewbornRussiaSouth AfricaBRICSdeveloping countrieshealth system determinantshealth system outcomeshealth system performance

Identifiers

PMID32296671
PMCPMC7136407

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.