Technical efficiency in the use of health care resources: a comparison of OECD countries

Retzlaff-Roberts, Donna; Chang, Cyril F.; Rubin, Rose M.

doi:10.1016/j.healthpol.2003.12.002

Cited by 195 publications

(154 citation statements)

References 19 publications

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“…To approximate the output of the health system, the specification that has been common in previous empirical research has relied on life expectancy and infant mortality rates (Retzlaff-Roberts et al 2004;Afonso and St. Aubyn 2005;Räty and Luoma 2005). Life expectancy is a variable that is widely available and can be considered as a long run global result of the health system of a country (Evans et al 2001).…”

Section: Datamentioning

confidence: 99%

“…for a broad sample of countries. Although there may be some controversy regarding the appropriateness of some of these variables as relevant outcomes of the health system (Häkkinen and Joumard 2007), most analyses at the system level have relied on the use of life expectancy and infant mortality to approximate the outcomes of the health system WHO 2001;Retzlaff-Roberts et al 2004;Afonso and St. Aubyn 2005). However, it can be argued that while infant mortality is a very dramatic problem in underdeveloped countries, it is no longer a relevant issue in most developed countries.…”

Section: Introductionmentioning

confidence: 99%

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Value efficiency analysis of health systems: does public financing play a role?

2010

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Aims/Background This study measures the performance of the health system in 165 countries and its relationship with public financing. Methods We use value efficiency analysis (VEA), a refinement of data envelopment analysis (DEA), to measure the efficiency of the health systems using data on healthy life expectancy and disability adjusted life years as health outcomes. Expenditure on health and education are used as inputs to the health system. Results The group of high income OECD countries shows the largest indexes of efficiency and also the lowest dispersion. In contrast, low income countries also have the most inefficient health systems, which implies that there are more opportunities for improvement. The average efficiency score is 0.96 for high income countries, 0.83 for upper-middle income countries, 0.86 for lower-middle income countries and only 0.76 for low income countries. Only 17 countries have a score equal to 1 and therefore are completely efficient and can be taken as referents. The index of efficiency is found to be positively associated with government expenditure on health as a percentage of total expenditure on health. ConclusionsThe analysis of the results shows that the public share in health expenditure and the weight of health expenditure in public budgets are two factors positively associated with the performance of the health systems. The study also highlights the advantages of using VEA over DEA in the measurement of performance.

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Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Value efficiency analysis of health systems: does public financing play a role?

2010

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“…The health production function used in this study is based on earlier research that compared health care systems using OECD Health Data [20,21]. The authors of these latter studies referred to the health status model adopted by the Healthy People 2010 Project [4,9,31].…”

Section: The Health Production Functionmentioning

confidence: 99%

“…This provides a measure of a country's health care expenditure [2,3,21,32]. It was converted to a real health expenditure measure by dividing the original OECD data by the real volume of GDP in per capita terms (corrected for purchasing power parities); (2) The number of practicing physicians per 1,000 inhabitants, to represent access to health care (responsiveness) [13].…”

Section: The Health Production Functionmentioning

confidence: 99%

Is there an association between economic performance and public satisfaction in health care?

Adang

Borm

2007

Eur J Health Econ

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Earlier studies on the association between health systems' economic performance and public satisfaction were based on between-countries comparisons. This approach can be challenged as it ignores the fact that subjective measures like 'satisfaction' might be relative. Cohort analysis is a way of dealing with this issue as it focuses on within-countries comparisons. The association between change in satisfaction with health care systems and change in economic performance, determined by an output-orientated constant returns to scale DEA Malmquist model over the period 1995 to 2000/2002 using OECD data, is explored. The results show that a health care systems' economic performance is not associated with public satisfaction.

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“…Esse modelo tem sido aplicado em saúde pública (clínicas e hospitais) 8,9,10 , universidades, escolas, bancos, restaurantes e indústrias.…”

Section: Metodologiaunclassified