COMPARISON OF HEALTHCARE SYSTEM PERFORMANCES IN OECD COUNTRIES

Year 2021, Volume: 6 Issue: 2, 251 - 261, 27.08.2021

Oğuzhan Yüksel

https://doi.org/10.33457/ijhsrp.935170

Cited By: 5

Abstract

Health spending is increasing every day around the world. Because of this, efficient use of resources becomes more important. The aim of this study was to compare the health efficiencies of the Organization for Economic Co-operation and Development (OECD) countries. In order to consider the trend of efficiency of the countries in the observed period (2014-2018), window analysis is chosen as the most appropriate input oriented data envelopment analysis (DEA) technique. The DEA window method was chosen since it leads to increased discrimination on findings and it enables year-by-year comparisons of the results. Input and output variables used in the study were determined by examining other studies in the literature. In this respect, the input variables were identified as the number of physicians per thousand people, the number of nurses per thousand people, the number of hospital beds per thousand people, health spendings (% of GDP); and output variables were expected life expectancy at birth, and rate of surviving infants. According to the results of the DEA Window analysis, only Mexico was found to be efficient. Other countries with an efficiency score of more than 90% are Turkey (0.999), Japan (0.991), Korea (0.974), Luxembourg (0.937). On the other hand; Austria (0.591), Switzerland (0.545) and Germany (0.511) were the last countries in the efficiency score ranking. In these countries, which produce high health output, their inputs are also high, so they are at the end of the ranking of efficiency scores.

Keywords

OECD Countries, Healthcare Performance, DEA Window, Efficiency

References

• [1] Koçak, O., Tiryaki, D., “Sosyal devlet anlayışında sağlık politikalarının önemi ve sağlıkta dönüşüm programının değerlendirilmesi: Yalova örneği”, Istanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 10(19), 55–88, 2011.
• [2] OECD., Health at a Glance 2019: OECD Indicators, OECD Publishing, 1–240, Paris, 2019.
• [3] Afonso, A., St. Aubyn, M., “Relative efficiency of health provision: A DEA approach with non-discretionary input”, SSRN Electronic Journal, 2006.
• [4] OECD Data, Available at: https://data.oecd.org/health.html (accessed Mar. 30, 2021).
• [5] Charnes, A., Cooper, WW., Rhodes, E., “Measuring the efficiency of decision making units”, XXI Simpósio Bras Recur Hídricos, 2:429–44, 1978.
• [6] Sherman, HD., Zhu, J., “Improving service performance using data envelopment analysis (DEA), (Service productivity management)”, Springer Science Business Media LLC, 1–344 USA, 2006.
• [7] Ozcan, YA., Health Care Benchmarking and Performance Evaluation an Assessment Using Data Envelopment Analysis (DEA), International Series in Operations Research&Management Science, Springer International Publishing, USA, 2014.
• [8] Cooper, W.W., Seiford, L.M., Zhu, J., Data Envelopment Analysis: History, Models and Interpretations, Handbook on Data Envelopment Analysis, Springer, Boston, MA., 1–39, 2011.
• [9] Charnes, A., Clark, CT., Cooper, WW., Golany, B.A., “Developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the US air forces”, Annals of Operations Research, 2(1), 95–112, 1984.
• [10] Yang, HH., Chang, CY., “Using DEA window analysis to measure efficiencies of Taiwan’s integrated telecommunication firms”, Telecomm Policy, 33(1–2), 98–108, 2009.
• [11] Flokou, A., Aletras, V., Niakas, D.A., “Window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis”, PLoS One, 12(5), 1–26, 2017.
• [12] Yüksel, O., Yiğit, V., “Türkiye’de ağız ve di̇ş sağlığı merkezleri veri̇mli̇li̇ği̇ni̇n VZA pencere anali̇zi̇ ile ölçümü”, Süleyman Demirel Üniversitesi Vizyoner Dergisi, 11(27), 527–40, 2020.
• [13] Pjevčević, D., Radonjić, A., Hrle, Z., Čolić, V., “DEA window analysis for measuring port efficiencies in Serbia”, Promet-Traffic&Transportation, 24(1), 63–72, 2012.
• [14] Asmild, M., Paradi, J.C., Aggarwall, V., Schaffnit, C., “Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking ındustry”, Journal of Productivity Analysis, 21(1), 67–89, 2004.
• [15] Kutlar, A., Kabasakal, A., Babacan, A., “Dynamic efficiency of Turkish banks: A DEA window and Malmquist index analysis for the period of 2003-2012”, Sosyoekonomi, 23(24), 71–97, 2015.
• [16] Selamzade, F., Özdemir, Y., “Covıd-19’a karşı OECD ülkelerinin etkinliğinin VZA ile değerlendirilmesi”, Electronic Journal Turkish Studies, 15(4), 977–91, 2020.
• [17] Hadad. S., Hadad. Y., Simon-Tuval, T., “Determinants of healthcare system’s efficiency in OECD countries”, The European Journal of Health Economics, 14(2), 253–65, 2013.
• [18] Değirmenci, N., Yakıcı A.T., “Oecd ülkeleri̇ni̇n sağlık göstergeleri̇ açısından bulanık kümeleme anali̇zi̇ ve topsis yöntemi̇ne göre değerlendi̇ri̇lmesi̇”, Hacettepe Üniversitesi İktisadi ve İdari Bilim Fakültesi Dergisi, 38(2), 229–41, 2020.
• [19] Asandului, L., Roman, M., Fatulescu, P., “The efficiency of healthcare systems in Europe: A data envelopment analysis approach”, Procedia Economics and Finance, 10(14), 261–8, 2014.
• [20] Kocaman, A.M., Mutlu, M.E., Bayraktar, D., Araz, Ö.M., “OECD ülkelerinin sağlık sistemlerinin etkinlik analizi”, Endüstri Mühendisliği Dergisi, 23(4), 14–31, 2012.
• [21] Pekkaya, M., Dökmen, G., “OECD ülkeleri kamu sağlık harcamalarının çok kriterli karar verme yöntemleri̇ ile performans değerlendi̇rmesi̇”, Uluslararası Yönetim İktisat ve İşletme Dergisi, 15(4), 923–51, 2019.