Journals / Alphanumeric Journal / 2022 / Cilt: 10 - Sayı: 1

Benchmarking healthcare systems of OECD countries: A DEA – based Malmquist Productivity Index Approach

Pages
25–40
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Considering the input values of the countries, the results of the input-oriented model and Malmquist productivity index were analyzed with the fixed return assumption according to the scale.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Along with technological innovations and developments experienced in the second half of the twentieth century, very important changes have occurred in healthcare.
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Key Findings & Data:These policies have made it necessary for international competitiveness, product and service sectors to continually improve their performance.
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Conclusion & Impact:Considering the input values of the countries, the results of the input-oriented model and Malmquist productivity index were analyzed with the fixed return assumption according to the scale.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Along with technological innovations and developments experienced in the second half of the twentieth century, very important changes have occurred in healthcare. Many different, complex and economically expensive services are being tried to be carried out together. For this reason, it is finally crucial that the health services delivered by providers to scarce resources are delivered effectively and efficiently to people without sacrificing quality. Today, the most important problem of the production of healthcare services is the resource shortage as it is in other sectors. Efficiency, quality and competition are important criteria in the production and delivery of health services. Reducing costs in the production of health services is one of the main health policies for many world countries. These policies have made it necessary for international competitiveness, product and service sectors to continually improve their performance. In this study, the efficiency evaluation of the health care services of OECD were examined using Data Envelopment Analysis and Malmquist Total Factor Productivity. Considering the input values of the countries, the results of the input-oriented model and Malmquist productivity index were analyzed with the fixed return assumption according to the scale.

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Cite This Article

AYDIN, A. (2022). Benchmarking healthcare systems of OECD countries: A DEA – based Malmquist Productivity Index Approach. Alphanumeric Journal, Cilt: 10 - Sayı: 1, 25–40. https://ajindex.com/articles/435086

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References (15)

  1. Koopmans, T. C. (1951). Efficient allocation of resources. Econometrica: Journal of the Econometric Society, 455-465
  2. Hollingsworth, B., and Parkin, D. (2001). The efficiency of the delivery of neonatal care in the UK. Journal of Public Health, 23(1), 47-50
  3. Harrison, J. P., Coppola, M. N., and Wakefield, M. (2004). Efficiency of federal hospitals in the United States. Journal of Medical Systems, 28(5), 411-422
  4. Ehreth, J. L. (1994). The development and evaluation of hospital performance measures for policy analysis. Medical care, 568-587
  5. Worthington, A. C. (2004). Frontier efficiency measurement in health care: a review of empirical techniques and selected applications. Medical care research and review, 61(2), 135-170
  6. Charnes, A., Cooper, W. W., and Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444
  7. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281
  8. Şenel, T., ve Gümüştekin, S. (2017). Samsun'daki Hastanelerin Etkinliklerinin Değerlendirilmesinde Veri Zarflama Analizi Kullanılması. International Anatolia Academic Online Journal Fen Bilimleri Dergisi, 3(2)
  9. Wilson, G. W., and Jadlow, J. M. (1982). Competition, profit incentives, and technical efficiency in the provision of nuclear medicine services. The Bell Journal of Economics, 472-482
  10. Nunamaker, T. R. (1983). Measuring routine nursing service efficiency: a comparison of cost per patient day and data envelopment analysis models. Health Services Research, 18(2 Pt 1), 183
  11. Sherman, H. D. (1984). Hospital efficiency measurement and evaluation: empirical test of a new technique. Medical care, 922-938
  12. Register, C. A., and Bruning, E. R. (1987). Profit incentives and technical efficiency in the production of hospital care. Southern Economic Journal, 899-914
  13. Grosskopf, S., and Valdmanis, V. (1987). Measuring hospital performance: A non-parametric approach. Journal of health Economics, 6(2), 89-107
  14. Cullinane, K., Song, D. W., Ji, P., and Wang, T. F. (2004). An application of DEA windows analysis to container port production efficiency. Review of network Economics, 3(2)
  15. Zare Ahmadabadi, H., Masoudian, S., & Zare Banadkouki, M. R. (2019). Evaluating the technical efficiency of Yazd City health centers with a combined approach of DEA and GT. SSU_Journals, 26(8), 717-732