Dataset Information

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

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.

SUBMITTER: Romaniuk P

PROVIDER: S-EPMC7136407 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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

Romaniuk Piotr P Poznańska Angelika A Brukało Katarzyna K Holecki Tomasz T

Frontiers in public health 20200331

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 ye ...[more]

PMID: 32296671

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Project description:The majority of the world's population is still facing difficulties in getting access to primary healthcare facilities. Universal health coverage (UHC) proposes access to high-quality, affordable primary healthcare for all. The 17 UN sustainable development goals (SDGs) are expected to be executed and achieved by all the 193 countries through national sustainable development strategies and multi-stakeholder partnerships. This article addresses SDG 3.8—access to good quality and affordable healthcare and two subindicators related to societal impact (SDG 3.8.1 and 3.8.2) through two objectives. The first objective is to determine whether health expenditure indicators (HEIs) drive UHC, and the second objective is to analyze the importance of key determinants and their interactions with UHC in three economic blocks: emerging Gulf Cooperation Council (GCC); developing Brazil, Russia, India, China, and South Africa (BRICS) vis-à-vis the developed Australia, UK, and USA (AUKUS). We use the WHO Global Health Indicator database and UHC periodical surveys to evaluate the hypotheses. We apply state-of-the-art machine learning (ML) models and ordinary least square (traditional—OLS regression) methods to see the superiority of artificial intelligence (AI) over traditional ones. The ML Random Forest Tree method is found to be superior to the OLS model in terms of lower root mean square error (RMSE). The ML results indicate that domestic private health expenditure (PVT-D), out-of-pocket expenditure (OOPS) per Capita in US dollars, and voluntary health insurance (VHI) as a percentage of current health expenditure (CHE) are the key factors influencing UHC across the three economic blocks. Our findings have implications for drafting health and finance sector public policies, such as providing affordable social health insurance to the weaker sections of the population, making insurance premiums less expensive and affordable for the masses, and designing healthcare financing policies that are beneficial to the masses. UHC is an important determinant of health for all and requires an in-depth analysis of related factors. Policymakers are often faced with the challenge of prioritizing the economic needs of sectors such as education and food safety, making it difficult for healthcare to receive its due share. In this context, this article attempts to identify the key components that may influence the attainment of UHC and enable policy changes to address them more effectively and efficiently.

Project description:Importance:Despite the highest injury rates worldwide, formal medical care is not often sought after injuries in Sub-Saharan Africa. Unaffordable costs associated with trauma care might inhibit injured patients from seeking care. Objectives:To (1) determine the injury epidemiology in Cameroon using population-representative data, (2) identify the barriers to use of formal health care after injury, and (3) determine the association between use of care and economic outcomes after injury. Design, Setting, and Participants:This mixed-methods, cross-sectional study included a population-representative, community-based survey and nested qualitative semistructured interviews in the urban-rural Southwest Region of Cameroon. Three-stage cluster sampling was used to select target households. Data were collected from January 3 to March 14, 2017, and analyzed from March 3, 2017, to March 3, 2019. Exposures:Injuries occurring in the preceding 12 months. Main Outcomes and Measures:Postinjury use of health care services, disability, and economic outcomes. All survey data were adjusted for cluster sampling. Results:Of 1551 total households approached, 1287 (83.0%) were surveyed for a total sample size of 8065 participants. The 8065 individuals surveyed included 4181 women (52.0%), with a mean age of 23.9 (standard error [SE], 0.2) years. A total of 503 injuries were identified among 471 unique participants, including 494 nonfatal injuries. Among these, 165 (34.6%) did not seek formal medical services. Disability occurred after 345 injuries (68.6%) and resulted in 11 941 lost days of work in the sample. Family economic hardship after injury was substantially increased among the injured cohort who used formal medical care. Injuries brought to formal medical care, compared with those that were note, incurred higher mean treatment costs ($101.08 [SE, $236.23] vs $12.13 [SE, $36.78]; P < .001), resulted in higher rates of lost employment (19.9% [SE, 3.6%] vs 5.6% [SE, 1.6%]; P = .004), and more frequently led affected families to use economic coping strategies, such as borrowing money (26.2% [SE, 2.7%] vs 7.1% [SE, 1.2%]; P < .001). After adjusting for age and severity, use of formal medical care in Cameroon was independently associated with severe economic hardship after injury, defined as a new inability to afford food or rent (adjusted odds ratio, 1.67; 95% CI, 1.05-2.65). Conclusions and Relevance:In this study, injury in Southwestern Cameroon was associated with significant disability and lost productivity. Formal medical treatment of injury was associated with significant financial consequences for households of injured patients. Primary prevention of road traffic injuries and financial restructuring of emergency care could improve trauma care access in Cameroon and reduce the societal effects of injury.

Dataset Information

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

Publications

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

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