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Brasil e OCDE: Avaliação da Eficiência em Sistemas de Saúde

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Author Info
Alexandre Marinho
Simone de Souza Cardoso
Vivian Vicente de Almeida
Abstract

Avaliamos a eficiência na provisão de serviços de saúde no Brasil, em comparação com os países da Organização para a Cooperação e Desenvolvimento Econômico (OCDE). Estimamos em que medida variáveis como esperança de vida ao nascer para homens; esperança de vida ao nascer para mulheres; índice de sobrevivência infantil; anos de vida recuperados para doenças transmissíveis; anos de vida recuperados para doenças não-transmissíveis; anos de vida recuperados para causas externas; tamanho da população; e área geográfica podem servir de representação para um serviço de saúde eficiente, dado o gasto per capita com saúde. As principais metodologias de avaliação utilizadas são as fronteiras de eficiência, calculadas em modelos de Análise Envoltória de Dados – Data Envelopment Analysis (DEA) – e de fronteiras estocásticas (stochastic frontiers), e os resultados não são totalmente desfavoráveis ao Brasil. We evaluate the efficiency of expenditure in health care provision by comparing various output measures (life expectancy; infant survival rate; years of life recovered from diseases; population; area) from the health system of Brazilian and OECD countries with an expenditure measure (health expenditure per capita). When estimating the efficiency frontier and country rankings we combine data envelopment analysis with stochastic frontiers. Our results provide some evidence that Brazil is not in the worst position in the sample.

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Paper provided by Instituto de Pesquisa Econômica Aplicada - IPEA in its series Discussion Papers with number 1370.

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Length: 68 pages
Date of creation: Jan 2009
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Handle: RePEc:ipe:ipetds:1370

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  1. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July. [Downloadable!] (restricted)
  2. Peter C. Smith & Andrew Street, 2005. "Measuring the efficiency of public services: the limits of analysis," Journal Of The Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 401-417. [Downloadable!] (restricted)
  3. Gstach, Dieter, 1995. "Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis," Empirical Economics, Springer, vol. 20(3), pages 531-42.
  4. Battese, George E. & Corra, Greg. S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December. [Downloadable!]
  5. Vitaliano, Donald F. & Toren, Mark, 1994. "Cost and efficiency in nursing homes: a stochastic frontier approach," Journal of Health Economics, Elsevier, vol. 13(3), pages 281-300, October. [Downloadable!] (restricted)
  6. Prior, Diego, 1996. "Technical Efficiency and Scope Economies in Hospitals," Applied Economics, Taylor and Francis Journals, vol. 28(10), pages 1295-1301, October. [Downloadable!] (restricted)
  7. Kooreman, Peter, 1994. "Data envelopment analysis and parametric frontier estimation: complementary tools," Journal of Health Economics, Elsevier, vol. 13(3), pages 345-346, October. [Downloadable!] (restricted)
  8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November. [Downloadable!] (restricted)
  9. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May. [Downloadable!] (restricted)
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