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BACKGROUND: Amid the rising demand for healthcare services in Saudi Arabia, there is a need to monitor, evaluate, and improve performance in the delivery of these services. In this regard, the aim of this study was to estimate changes in total factor productivity (TFP) in healthcare services across the health system administrative regions in Saudi Arabia from 2006 to 2018. The contributions of changes in efficiency and technology to the observed changes in TFP were further evaluated. METHODS: The data used for this study were extracted from annual Ministry of Health Statistical Yearbooks for the period of 2006-2018. TFP changes were estimated using the Malmquist Productivity Index, in which technology frontiers were constructed through data envelopment analysis. The changes in TFP were decomposed into changes in technology, changes in pure technical efficiency, and changes in scale efficiency following the Färe-Grosskopf-Norris-Zhang method. As robustness checks, we used bootstrapping to construct intervals and applied alternative decomposition methods. The changes in TFP and its sources were also compared between public and private hospitals. RESULTS: Over the period from 2006 to 2018, TFP for healthcare services has decreased on average by 5.6% per year solely on account of a technical regress. Public hospitals registered a higher deterioration in productivity (6.0% per year) than private hospitals (4.8% per year). CONCLUSION: Using the available resources, there is potential for realising gains in productivity of healthcare services by addressing existing technological challenges. Since the decline in TFP is entirely a problem of technical regress, the primary solution should focus on strategies for achieving technical progress (innovation) through investment in more or better machinery, equipment, and structures for healthcare service provision.
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BACKGROUND: The importance of good health is reflected in the fact that more than half of the eight Millennium Development Goals (MDGs) are aimed at improving health status. Goal 4 (MDG4) aims to reduce child mortality. The progress indicator for goal 4 is the under-five mortality rate (U5M), with a targeted reduction of two thirds by 2015 from 1990 levels. This paper seeks to compare the time (in years) Sub Saharan African (SSA) countries will take to reach their MDG4 target at the current rate of decline, and the time it could have taken to reach their target if domestic resources had not been lost through illicit financial flows, corruption and servicing of debt since 2000. METHODS: We estimate the amount by which the Gross Domestic Product (GDP) per capita would increase (in percentage terms) if losses of resource through illicit financial flows, corruption and debt servicing, were reduced. Using the income elasticity of U5M, a metric which reports the percentage change in U5M for a one percent change in GDP per capita, we estimate the potential gains in the annual reduction of the under-five mortality if these resource losses were reduced. RESULTS: At the current rate of reduction in U5M, nine countries out of this sample of 36 SSA countries (25%) will achieve their MDG4 target by 2015. In the absence of the leakages (IFF, corruption and debt service) 30 out of 36 (83%) would reach their MDG4 target by 2015 and all except one country, Zimbabwe would have achieved their MDG4 by 2017 (97%). In view of the uncertainty of the legitimacy of African debts we have also provided results where we excluded debt repayment from our analysis. CONCLUSIONS: Most countries would have met MDG4 target by curtailing these outflows. In order to release latent resources in SSA for development, action will be needed both by African countries and internationally. We consider that stemming these outflows, and thereby reducing the need for aid, can be achieved with a more transparent global financial system.
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Recursos em Saúde , Nações Unidas , África Subsaariana/epidemiologia , Mortalidade da Criança , Pré-Escolar , Saúde Global , Humanos , Objetivos OrganizacionaisRESUMO
BACKGROUND: The population in Sub Saharan Africa (SSA) suffers poor health as manifested in high mortality rates and low life expectancy. Economic growth has consistently been shown to be a major determinant of health outcomes. However, even with good economic growth rates, it is not possible to achieve desired improvements in health outcomes. Public spending on health (PSH) has long been viewed as a potential complement to economic growth in improving health. However, the relationship between PSH and health outcomes is inconclusive and this inconclusiveness may, in part, be explained by governance-related factors which mediate the impact of the former on the latter. Little empirical work has been done in this regard on SSA. This paper investigates whether or not the quality of governance (QoG) has a modifying effect on the impact of public health spending on health outcomes, measured by under-five mortality (U5M) and life expectancy at birth (LE), in SSA. METHODS: Using two staged least squares regression technique on panel data from 43 countries in SSA over the period 1996-2011, we estimated the effect of public spending on health and quality of governance U5M and LE, controlling for GDP per capita and other socio-economic factors. We also interacted PSH and QoG to find out if the latter has a modifying effect on the former's impact on U5M and LE. RESULTS: Public spending on health has a statistically significant impact in improving health outcomes. Its direct elasticity with respect to under-five mortality is between -0.09 and -0.11 while its semi-elasticity with respect to life expectancy is between 0.35 and 0.60. Allowing for indirect effect of PSH spending via interaction with quality of governance, we find that an improvement in QoG enhances the overall impact of PSH. In countries with higher quality of governance, the overall elasticity of PSH with respect to under-five mortality is between -0.17 and -0.19 while in countries with lower quality of governance, it is about -0.09. The corresponding semi elasticities with respect to life expectancy are about 6 in countries with higher QoG and about 3 in countries with lower QoG. DISCUSSION: Public spending on health improves health outcomes. Its impact is mediated by quality of governance, having the higher impact on health outcomes in countries with higher quality of governance and lower impact in countries with lower quality of governance. This may be due to increased efficiency in the use of available resources and better allocation of the same as QoG improves. CONCLUSION: Improving QoG would improve health outcomes in SSA. The same increase in PSH is twice as effective in reducing U5M and increasing LE in countries with good QoG when compared with countries with poor QoG.
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Atenção à Saúde/organização & administração , Países em Desenvolvimento/estatística & dados numéricos , Financiamento Governamental/organização & administração , Gastos em Saúde/estatística & dados numéricos , Programas Nacionais de Saúde/organização & administração , África Subsaariana/epidemiologia , Atenção à Saúde/economia , Países em Desenvolvimento/economia , Desenvolvimento Econômico , Feminino , Financiamento Governamental/economia , Reforma dos Serviços de Saúde/organização & administração , Política de Saúde , Nível de Saúde , Humanos , Masculino , Programas Nacionais de Saúde/economia , Análise de RegressãoRESUMO
OBJECTIVES: This paper sets out to estimate the cost of illicit financial flows (IFF) in terms of the amount of time it could take to reach the fourth Millennium Development Goal (MDG) in 34 African countries. DESIGN: We have calculated the percentage increase in gross domestic product (GDP) if IFFs were curtailed using IFF/GDP ratios. We applied the income (GDP) elasticity of child mortality to the increase in GDP to estimate the reduction in time to reach the fourth MDG in 34 African countries. PARTICIPANTS: children aged under five years. SETTINGS: 34 countries in SSA. MAIN OUTCOME MEASURES: Reduction in time to reach the first indicator of the fourth MDG, under-five mortality rate in the absence of IFF. RESULTS: We found that in the 34 SSA countries, six countries will achieve their fourth MDG target at the current rates of decline. In the absence of IFF, 16 countries would reach their fourth MDG target by 2015 and there would be large reductions for all other countries. CONCLUSIONS: This drain on development is facilitated by financial secrecy in other jurisdictions. Rich and poor countries alike must stem the haemorrhage of IFF by taking decisive steps towards improving financial transparency.
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Mortalidade da Criança , Crime/economia , Países em Desenvolvimento/economia , Saúde Global/economia , Objetivos , Produto Interno Bruto , Renda , África Subsaariana/epidemiologia , Pré-Escolar , Feminino , Humanos , Lactente , MasculinoRESUMO
OBJECTIVE: We aimed to quantify the relationship between national income and infant and under-five mortality in developing countries. DESIGN: We conducted a systematic literature search of studies that examined the relationship between income and child mortality (infant and/or under-five mortality) and meta-analysed their results. SETTING: Developing countries. MAIN OUTCOME MEASURES: Child mortality (infant and /or under-five mortality). RESULTS: The systematic literature search identified 24 studies, which produced 38 estimates that examined the impact of income on the mortality rates. Using meta-analysis, we produced pooled estimates of the relationship between income and mortality. The pooled estimate of the relationship between income and infant mortality before adjusting for covariates is -0.95 (95% CI -1.34 to -0.57) and that for under-five mortality is -0.45 (95% CI -0.79 to -0.11). After adjusting for covariates, pooled estimate of the relationship between income and infant mortality is -0.33 (-0.39 to -0.26) while the estimate for under-five mortality is -0.28 (-0.37 to -0.19). If a country has an infant mortality of 50 per 1000 live births and the gross domestic product per capita purchasing power parity increases by 10%, the infant mortality will decrease to 45 per 1000 live births. CONCLUSION: Income is an important determinant of child survival and this work provides a pooled estimate for the relationship.