Journals / Ege Akademik Bakış / 2019 / Cilt: 19 - Sayı: 3

Using Data Envelopment Analysis to Measure the Technical Efficiency of Public Hospitals in Turkey

Veri Zarflama Analizi ile Türkiye’deki Kamu Hastanelerinin Teknik Etkinliğinin Ölçülmesi

Pages
373–387
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

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

According tothe results obtained, the technical efficiencies of1533 businesses being active in 81 provinces andpresenting similar health services were measuredby means of data envelopment analysis and it wasidentified that 775 of these hospitals that are presentin 36 provinces worked efficiently, and that 758 ofthem that are present in 45 provinces did not workefficiently

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the study, it was targeted to increase the efficiencyof business by identifying the performance andefficiency levels of 1533 public hospitals in 81provinces of Turkey by means of data envelopmentanalysis and, in addition to this, identifying theproblems of units causing disruptions; it was aimedto sort out these problems by suggesting solutions.The data obtained from health businesses, in whichapplication was performed, were checked; theirefficiency degrees were assessed; and analysisresults were obtained.
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Key Findings & Data:These results obtained fromthe study were used in the improvement studiesthat are going to be carried out to increase theefficiency of or remove the deficiencies of hospitals,in which application is performed.
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Conclusion & Impact:According tothe results obtained, the technical efficiencies of1533 businesses being active in 81 provinces andpresenting similar health services were measuredby means of data envelopment analysis and it wasidentified that 775 of these hospitals that are presentin 36 provinces worked efficiently, and that 758 ofthem that are present in 45 provinces did not workefficiently
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In the study, it was targeted to increase the efficiencyof business by identifying the performance andefficiency levels of 1533 public hospitals in 81provinces of Turkey by means of data envelopmentanalysis and, in addition to this, identifying theproblems of units causing disruptions; it was aimedto sort out these problems by suggesting solutions.The data obtained from health businesses, in whichapplication was performed, were checked; theirefficiency degrees were assessed; and analysisresults were obtained. These results obtained fromthe study were used in the improvement studiesthat are going to be carried out to increase theefficiency of or remove the deficiencies of hospitals,in which application is performed. According tothe results obtained, the technical efficiencies of1533 businesses being active in 81 provinces andpresenting similar health services were measuredby means of data envelopment analysis and it wasidentified that 775 of these hospitals that are presentin 36 provinces worked efficiently, and that 758 ofthem that are present in 45 provinces did not workefficiently

Özet

Çalışmada, veri zarflama analizi ile Türkiye’nin 81 ilindeki 1533 kamu hastanesinin performans ve etkinlik düzeyleri belirlenerek işletmenin etkinliğini artırmak hedeflenmiş, ayrıca hastanelerde aksamalara neden olan birimlerin sorunları belirlenerek çözüm önerileriyle bu sorunları düzeltmek amaçlanmaktadır. Uygulama yapılan sağlık işletmelerinden elde edilen veriler kontrolden geçirilecek etkinlik dereceleri değerlendirilmiş ve analiz sonuçları elde edilmiştir. Çalışmadan elde edilen bu sonuçlar, uygulamanın yapıldığı hastanelerin etkinliği artırmak veya eksikliklerinin giderilmesi için yapılacak iyileştirme çalışmalarında kullanılmıştır. Elde edilen sonuçlara göre, 81 ilde faaliyet gösteren ve benzer sağlık hizmetleri sunan 1533 hastanenin teknik etkinliği veri zarflama analizi ile ölçülmüş ve bu hastanelerden 36 ilde bulunan 775 tanesinin etkin olarak çalıştığı, 45 ilde bulunan 758 hastanenin de etkin olarak çalışmadığı belirlenmiştir.

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Cite This Article

KARAHAN, M. (2022). Using Data Envelopment Analysis to Measure the Technical Efficiency of Public Hospitals in Turkey. Ege Akademik Bakış, Cilt: 19 - Sayı: 3, 373–387. https://ajindex.com/articles/495158

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References (14)

  1. Akal, Z. (2000). Performance Measurement and Control in Operations, Multipurpose Performance Indicators, MPM, No: 473, Ankara.
  2. Akgobek, O., Nişanci, I., Kaya, S., Eren, T. (2015). Measuring the Performance of Branches of an Educational Institution Using the DEA Approach, Social Sciences Research Journal, Volume 4, Issue 3, 43-54 (September 2015).
  3. Aladag, Z., Alkan, A., Güler, E., Özdin, Y. (2018). Performance Evaluation of Academic Units with Data Envelopment Analysis and Promethee Methods: The Case of Kocaeli University, Erciyes University Journal of Institute of Science and Technology, Volume 34, Issue 1, p.1-13,
  4. Kayseri. Aslan, S. and Mete, M. (2007). Data Envelopment Analysis Method in Performance Measurement: Example of Birth and Children Hospitals Depended on Ministry of Health, Istanbul University, Faculty of Business Administration, Management Journal, Vol: 36, No: 1, p.44-63.
  5. Ayrıcay, Y. and Ozcalıcı, M. (2014). Between the years of 1997-2012 in Turkey DEA Related Published Studies of Academic, Kahramanmaras Sütcüimam University, Faculty of Economics Journal, Volume 4, Number 1, p. 246-279.
  6. Bayraktutan, Y. and Pehlivanoglu, F. (2012). Efficiency Analysis in Healthcare Establishments: Kocaeli Example, Journal of Kocaeli University Social Sciences Institute, Issue 23, p. 127-162
  7. Bernd, H. and Irvine, L. (2001).
  8. On the Efficiency of Public, Welfare and Private Hospitals in Germany Over Time – A Sectoral DEA-Study. Health Services Management Research, Vol. 14, 2001, pp. 263-274. Available at: http://ssrn.com/abstract=993391
  9. Bowlin, W. F. (1998). Measuring Performance: An Introduction to Data Envelopment Analysis (DEA), The Journal of Cost Analysis, 3–27.
  10. Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the efficiency of decision making units, European Journal of Operation Research, 2, p.429-444.
  11. Chowdhury, H. and Zelenyuk, V. (2016). Performance of hospital services in Ontario: DEA with truncated regression approach, Omega, Volume 63, September 2016, p.111-122.
  12. Cooper, W.W., Seiford, L. M. and Zhu, J. (2004). Handbook on Data Envelopment Analysis, Kluwer Academic Publishers,
  13. Boston. Caglar, A. (2003). Activity Measurement of Municipalities by Data Envelopment Analysis. Doctorate Thesis, Hacettepe University Institute of Science, Department of Statistics, Ankara.
  14. Celik, T. and Esmeray, A. (2014). Measurement of Cost Effectiveness in Private Hospitals in Kayseri by Data Envelopment Method, International Alanya Business Administration Journal, Vol