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PURPOSE: The goal of this study was to assess the effectiveness of healthcare spending among the leading Asian economies. METHODS: We have selected a total of nine Asian nations, based on the strength of their economic output and long-term real GDP growth rates. The OECD members included Japan and the Republic of Korea, while the seven non-OECD nations were China, India, Indonesia, Malaysia, Pakistan, the Philippines, and Thailand. Healthcare systems efficiency was analyzed over the period 1996-2017. To assess the effectiveness of healthcare expenditure of each group of countries, the two-way fixed effects model (country- and year effects) was used. RESULTS: Quality of governance and current health expenditure determine healthcare system performance. Population density and urbanization are positively associated with a healthy life expectancy in the non-OECD Asian countries. In this group, unsafe water drinking has a statistically negative effect on healthy life expectancy. Interestingly, only per capita consumption of carbohydrates is significantly linked with healthy life expectancy. In these non-OECD Asian countries, unsafe water drinking and per capita carbon dioxide emissions increase infant mortality. There is a strong negative association between GDP per capita and infant mortality in both sub-samples, although its impact is far larger in the OECD group. In Japan and South Korea, unemployment is negatively associated with infant mortality. CONCLUSION: Japan outperforms other countries from the sample in major healthcare performance indicators, while South Korea is ranked second. The only exception is per capita carbon dioxide emissions, which have maximal values in the Republic of Korea and Japan. Non-OECD nations' outcomes were led by China, as the largest economy. This group was characterized with substantial improvement in efficiency of health spending since the middle of the 1990s. Yet, progress was noted with remarkable heterogeneity within the group.
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BACKGROUND: Accelerated globalisation has substantially contributed to the rise of emerging markets worldwide. The G7 and Emerging Markets Seven (EM7) behaved in significantly different macroeconomic ways before, during, and after the 2008 Global Crisis. Average real GDP growth rates remained substantially higher among the EM7, while unemployment rates changed their patterns after the crisis. Since 2017, however, approximately one half of the worldwide economic growth is attributable to the EM7, and only a quarter to the G7. This paper aims to analyse the association between the health spending and real GDP growth in the G7 and the EM7 countries. RESULTS: In terms of GDP growth, the EM7 exhibited a higher degree of resilience during the 2008 crisis, compared to the G7. Unemployment in the G7 nations was rising significantly, compared to pre-recession levels, but, in the EM7, it remained traditionally high. In the G7, the austerity (measured as a percentage of GDP) significantly decreased the public health expenditure, even more so than in the EM7. Out-of-pocket health expenditure grew at a far more concerning pace in the EM7 compared to the G7 during the crisis, exposing the vulnerability of households living close to the poverty line. Regression analysis demonstrated that, in the G7, real GDP growth had a positive impact on out-of-pocket expenditure, measured as a percentage of current health expenditure, expressed as a percentage of GDP (CHE). In the EM7, it negatively affected CHE, CHE per capita, and out-of-pocket expenditure per capita. CONCLUSION: The EM7 countries demonstrated stronger endurance, withstanding the consequences of the crisis as compared to the G7 economies. Evidence of this was most visible in real growth and unemployment rates, before, during and after the crisis. It influenced health spending patterns in both groups, although they tended to diverge instead of converge in several important areas.
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Custos de Cuidados de Saúde , Saúde Pública , Produto Interno Bruto , Gastos em Saúde , Instalações de Saúde , Humanos , PobrezaRESUMO
BACKGROUND: Fraud- or theft-related crimes account for the highest number of crimes in the mental health industry in the US. AIM: This exploratory study aims to demonstrate a fraudster's and respective victims' profiles as well as to identify the loss predictors' hierarchy in the mental health industry in the US. MATERIALS AND METHODS: The Psychiatric Crime database and mixed-effects models are utilized for this purpose. RESULTS: A typical fraudster's profile is defined as a 53-year old male psychiatrist who victimizes one or two of the largest federal insurance programs in states with high property crime ratios. The results revealed the year and state where the fraud is prosecuted explain the largest portion of the variance in loss size. Predictably, case-specific factors also have a significant impact on the loss. Specifically, Medicaid, the existence of collusion, and fraudster's age are associated with the fraud loss. CONCLUSIONS: This study empirically justifies considering loss, due to healthcare fraud, from a multi-level perspective. Identified typical fraudster's and respective victim's profiles helped to elaborate on specific practical recommendations aimed at fraud prevention in the mental healthcare system in the US.
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Fraude/economia , Seguradoras/economia , Assistência Médica/economia , Serviços de Saúde Mental/economia , Fatores Etários , Humanos , Características de Residência , Fatores Sexuais , Estados UnidosRESUMO
Studies in the alcohol consumption area are mostly related to the (ab)use of alcohol in young people. However, today, a growing number of researchers are emphasizing the clinical and public health significance of alcohol consumption in the elderly. In the WHO reports, harmful alcohol consumption is responsible for 5.3% of the global burden of the disease. The aim of this study was to investigate the prevalence of alcohol consumption among men and women aged 55 and over in Serbia and Hungary, leveraging data from the 2013 Serbian National Health Survey and from the 2014 Hungarian National Health Survey. Respondents aged 55 and over were analysed based on logistic multivariate models. The prevalence of alcohol consumption was 41.5% and 62.5% in Serbia and Hungary, respectively. It was higher among men in both countries, but among women, it was significantly higher in Hungary than in Serbia. The statistically significant predictors affecting alcohol consumption in Serbia included age, education, well-being index, long-term disease and overall health status, with marital status being an additional factor among men. In Hungary, education and long-term disease affected alcohol consumption in both sexes, while age and employment were additional factors among women. In both countries for both sexes, younger age, more significantly than primary education and good health, was associated with a higher likelihood of alcohol consumption.
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Consumo de Bebidas Alcoólicas/epidemiologia , Nível de Saúde , Adolescente , Idoso , Feminino , Inquéritos Epidemiológicos , Humanos , Hungria/epidemiologia , Masculino , Pessoa de Meia-Idade , Prevalência , Sérvia/epidemiologia , Fatores SocioeconômicosRESUMO
â¢Experiencing a rapid economic growth, Brazil, Russia, India, China, and South Africa (BRICS nations) are now confronting a growing aging population and an increasing prevalence of noncommunicable diseases.â¢The health care spending share of the economy in the BRICS nations is growing and constitutes an important part of governmental efforts to address population health and health care systems.â¢Even with the growth in health expenditures, there remains a significant challenge in balancing the need for promoting public health, controlling noncommunicable diseases, and improving population health in these emerging economies.â¢BRICS nations have a great potential for embracing a public health agenda aimed at promoting physical activity and healthy lifestyles as part of the BRICS public health policies in order to improve population health and reduce the burden of noncommunicable diseases.
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This study examined the differences in health spending within the World Health Organization (WHO) Europe region by comparing the EU15, the EU post-2004, CIS, EU Candidate and CARINFONET countries. The WHO European Region (53 countries) has been divided into the following sub-groups: EU15, EU post-2004, CIS, EU Candidate countries and CARINFONET countries. The study period, based on the availability of WHO Global Health expenditure data, was 1995 to 2014. EU15 countries have exhibited the strongest growth in total health spending both in nominal and purchasing power parity terms. The dynamics of CIS members' private sector expenditure growth as a percentage of GDP change has exceeded that of other groups. Private sector expenditure on health as a percentage of total government expenditure, has steadily the highest percentage point share among CARINFONET countries. Furthermore, private households' out-of-pocket payments on health as a percentage of total health expenditure, has been dominated by Central Asian republics for most of the period, although, for the period 2010 to 2014, the latter have tended to converge with those of CIS countries. Western EU15 nations have shown a serious growth of health expenditure far exceeding their pace of real economic growth in the long run. There is concerning growth of private health spending among the CIS and CARINFONET nations. It reflects growing citizen vulnerability in terms of questionable affordability of healthcare. Health care investment capability has grown most substantially in the Russian Federation, Turkey and Poland being the classical examples of emerging markets.
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Gastos em Saúde/estatística & dados numéricos , Saúde Pública/economia , Europa (Continente) , Organização Mundial da SaúdeRESUMO
The evolution of epidemiological burden in Imperial Russia and, consecutively, the Union of Soviet Socialist Republics (USSR), took place mostly over the duration of the past century [...].
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Serbia is an upper-middle income Eastern European economy. It has inherited system of health provision and financing, which is a mixture of Soviet Semashko and German Bismarck models. So far, literature evidence on long-term trends in health spending remains scarce on this region. Observational descriptive approach was utilized relying on nationwide aggregate data reported by the Republic Health Insurance Fund (RHIF) and the Government of Serbia to the WHO office. Consecutively, the WHO Global Health Expenditure Database was used. Long-term trends were extrapolated on existing data and underlying differences were analyzed and explained. The insight was provided across two distinctively different periods within 2000-2016. The first period lasted from 2000 till 2008 (the beginning of global recession triggered by Lehman Brothers' bankruptcy). This was a period of strong upward growth in ability to invest in health care. Spending grew significantly in terms of GDP share, national and per capita reported expenditures. During the second period (2009-2016), after the beginning of worldwide economic crisis, Serbia was affected in a way that its health expenditure growth in PPP terms slowed down effectively fluctuating around plateau values from 2014 to 2016. Serbia health spending showed promising signs of steady growth in its ability to invest in health care. Consolidation marked most of the past decade with certain growth rates in recent years (2017-2019), which were not captured in these official records. The future national strategy should be devised to take into account accelerated population aging as major driver of health spending.