ŞEHİR HASTANELERİNİN ENTROPİ TEMELLİ MAUT YÖNTEMİ İLE KAPASİTE DEĞERLENDİRMESİ

Year 2021, Volume: 3 Issue: 1, 78 - 90, 30.06.2021

Agah Başdeğirmen , Damla Yalçıner Çal

Abstract

Sağlık hizmetleri ülkelerin refah seviyelerinin yükselmesinde toplum için büyük rol oynamaktadır. Bu çalışmanın amacı Çok Kriterli Karar Verme (ÇKKV) yöntemleri kullanarak şehir hastaneleri kapasitelerine yönelik temel göstergelerin performans sıralaması ve karşılaştırılmasını yapmaktır. Çalışmanın uygulama sürecinde Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden Entropi ve MAUT kullanılmıştır. Türkiye’de faaliyet gösteren 18 şehir hastanesi ve 6 kriterin yer aldığı kapasite değerlendirilmesine ait temel değerleri gösteren veriler ele alınmıştır. Yöntemlerden elde edilen çıktıya göre en iyi kapasite değerlendirilmesine sahip hastane Ankara Etlik Şehir Hastanesi olmuştur.

Keywords

Şehir Hastaneleri, Çok Kriterli Karar Verme, Entropi, MAUT

CAPACITY ASSESSMENT OF CITY HOSPITALS USING THE ENTROPY-BASED MAUT METHOD

Abstract

Health services have played a prominent role for the society in increasing the welfare of countries. The aim of this study is to rank and compare the performance of key indicators for city hospitals' capacities using Multi-Criteria Decision Making (MCDM) methods. In the application process of the study, Entropy and MAUT have used from Multi-Criteria Decision Making (MCDM) methods. It has been examined with the data obtained from the basic values of capacity assessment, which includes operating in Turkey 18 city hospitals and 6 criteria. According to the output obtained from the methods, the hospital with the best capacity assessment is Ankara Etlik City Hospital.

Keywords

City Hospitals, Multi Criteria Decision Making, Entrophy, MAUT.

References

• ADALI, E. A., TUŞ, A. (2019) “Hospital Site Selection with Distance-Based Multi-Criteria Decision-Making Methods” International Journal of Healthcare Management.
• ACARTÜRK, E., KESKİN, S. (2012) “Türkiye’de Sağlık Sektöründe Kamu Özel Ortaklığı Modeli” Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17 (3), 25-31.
• AĞAÇ, G., BAKİ, B. (2016) “Sağlık Alanında Çok Kriterli Karar Verme Teknikleri Kullanımı: Literatür İncelemesi” Hacettepe Sağlık İdaresi Dergisi, 19 (3), s.343-363.
• ALP, İ., ÖZTEL, A., KÖSE, M. S. (2015) “Entropi Tabanlı Maut Yöntemi ile Kurumsal Sürdürülebilirlik Performansı Ölçümü: Bir Vaka Çalışması” Ekonomik ve Sosyal Araştırmalar Dergisi, Cilt 11, Sayı 2, 65-81.
• ATALAN, A., KAPLAN DÖNMEZ, A., DÖNMEZ, C. Ç. “Development Optimization Models to Evaluate Healthcare Systems” Sigma Journal of Engineering and Sciences, 38 (2), 853-873.
• AYTEKİN, A. (2016) “Hastaların Hastane Tercihinde Etkili Kriterler ve Hastanelerin MULTIMOORA ile Sıralanması: Eskişehir Örneği” İşletme ve İktisat Çalışmaları Dergisi, Cilt 4, Sayı 4, s. 134-143.
• BAŞDEĞİRMEN, A., TUNCA, M. Z. (2017) “Lojistik Sektöründe Faaliyet Gösteren İşletmelerin Finansal Performanslarının Gri İlişkisel Analiz ile Değerlendirilmesi” SDÜ İİBF Dergisi, 22 (2), s. 327-340.
• CHUN, S., KIM, S. K., KIM, J. M. S., SOHN, K. (2010) “Use of Multi Attribute Utility Theory for Formulary Management in A Health System” American Journal of Health-System Pharmacy, 67 (2), pp. 128-135.
• CLAUDIO, D., OKUDAN, G. E. (2010) “Utility Function-Based Prioritisation in the Emergency Department” European J. Industrial Engineering, 4 (1), pp. 59-77.
• ÇAKIR, S., PERÇİN, S. (2013) “AB Ülkeleri’nde Bütünleşik Entropi AğırlıkTopsıs Yöntemiyle Ar-Ge Performansının Ölçülmesi”, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(1), pp.77-95.
• ÇAL, Y. D., KARAATLI, M. (2018) “Mevduat Bankası Seçimi Sürecinde TOPSIS ve ELECTRE Yöntemlerinin Kullanılması” Süleyman Demirel Üniversitesi İİBF Dergisi, 23 (2), pp. 401-423.
• DOĞAN, A., AYDIN, R. (2017) “Mersin Şehir Hastanesi” Sağlık ve Medya İletişimi Sempozyumu, https://slideplayer.biz.tr/slide/12539470/ (Erişim: 10.04.2021).
• HEGEMANN, H., GÜNTER, F. (1987) “MCDM in Hospital Planning” Toward Interactive and Intelligent Decision Support Systems, Vol. 285.
• HILTUNEN, V., KANGAS, J., PYKALAINEN, J. (2008) “Voting Methods in Strategic Forest Planning- Experiences from Metsahallitus” Forest Policy and Economics, 10 (3), pp. 117-127.
• HO, T. K., HULL, J. J., SRIHARI, S. N. (1992) “On Multiple Classifier Systems for Pattern Recognition Proceedings, 11. IAPR, 2, pp. 84-87.
• HSU, P-F., HSU, M-G. (2008) “Optimizing the Information Outsourcing Practices of Primary Care MEdical Organizatons Using Entropy and TOPSIS” Qual Quant, pp. 181-201.
• HUANG, J. (2008) “Combining Entropy Weight and TOPSIS Method for Information System Selection” IEEE Conferance on Cybernetics and Intelligent Systems.
• HUSSAIN, S. A. I., MANDAL, U. K. (2019) “Entropy Based MCDM Approach for Selection of Material” National Level Conference on Engineering Problems and Applications, pp. 1-7.
• ISHIZAKA, A., NEMERY, P. (2013) “Multi-Criteria Decision Analysis: Methodsand Software” John Wiley and Sons.
• KARAMI, A. ve JOHANSSON, R. (2014). Utilization of Multi Attribute Decision Making Techniques to Integrate Automatic and Manuel Ranking of Options, Journal of Information Science and Engineering, 30, s.519-534.
• KARABASEVIC, D. M., MAKSIMOVIC, M. V., STANUJKIC, D. M., JOCIC, G. B., RAJCEVIC, D. P. (2018) “Selection of Software Testing Method by Using ARAS Method” Tehnika, 73 (5), pp. 724-729.
• KARADAYI, M. A., KARSAK, E. E. (2014) “Fuzzy MCDM Approach for Health-care Performance Assessment in İstanbul” 18th World Multi-Conference on Systemics, WMSCI, pp. 228-233.
• KENGER, M. D., ORGAN, A. (2017) “Banka Personel Seçiminin ÇKKV Yöntemlerinden Entropi Temelli Aras Yöntemi ile Değerlendirilmesi” Adnan Menderes Üniversitesi SBE Dergisi, 4 (4), s. 152-170.
• KIM, S-K., SONG, O. (2009) “A MAUT Approach for Seleceting a Dismantling Scenario fort he Thermal Column KRR-1” Annals of Nuclear Energy, 36(2), pp. 145-150.
• KONIDARI, P. MAVRAKIS, D. (2007) “A Multi-Criteria Evaluation Method for Climate Change Mitigation Policy Instruments” Energy Policy, 35 (12), pp. 6235-6257.
• LANSDOWNE, Z. F. WOODWARD, B. S. (1996) “Applying the Borda Ranking Method”, Air Force Journal of Logistics, Vol. 20, No. 2, pp. 27-29.
• LU, M-T., LIN, S-W, TZENG, G-H. (2013) “Improving RFID Adoption in Taiwan’s Healthcare Industry Based on A DEMATEL Technique with A Hybrid MCDM Model” Decision Sıpport Systems, 56, pp. 259-269.
• ROCA, P. M., BARROS, A. P., SILVA, G. B., COSTA, H. G. (2016) “Analysis of the Operational Performance of Brazilian Airport Terminals: A Multicriteria Approach with De Borda-AHP Integration” Journal of Air Transport Management, 51, pp. 19-26.
• ROSTAMZADEH, R., ESMAEILI, R., NIA, A. S., SAPARAUSKAS, J., MEHDI, K. (2017) “A Fuzzy ARAS Method for Supply Chain Management Performance Measurement in SMEs Under Uncertainty” Transformations in Business&Economics, 17 (2A), pp. 319-340.
• Sağlık Bakanlığı, (2021) https://sygm.saglik.gov.tr/TR-30753/6527-nolu-kanun.html (Erişim Tarihi: 10.04.2021)
• SANTOS, M., SILVA, T., GOMES, C., VIEIRA, J., WALKER, R. (2018) “Mapping the Perception of Users as the Usability of Smartphones: Benchmarking Features Trough the Borda Count Method” International Conference on Operational Research, pp. 57-64.
• SHANNON, C.E. (1948). “A Mathematical Theory of Communucation”, The Bell System Technical Journal, 27, 379-423.
• SLIOGERIENE, J., TURSKIS, Z., & STREIMIKIENE, D. (2013) ”Analysis and choice of energy generation technologies: the multiple criteria assessment on the case study of Lithuania” Energy Procedia, Vol. 32, pp. 11-20.
• SUN, L-Y., YANG, L. (2017) “Ecological-Economic Efficiency Evaluation of Green Technology Innovaiton in Strategic Emerging Industries Based on Entropy Weighted TOPSIS Method” Ecological Indicators, 73, pp.554-558.
• TOH, Y., HAGIHARA, A., SHIOTANI, M., ONOZUKA, D., YAMAKI, C., SHIMIZU, N. TAKAYAMA, T. (2021) “Employing Multiple-Attribute Utility Technology to Evaluate Publicity Activities for Cancer Information and Counseling Programs in Japan” Journal of Cancer Policy, 21, pp. 1-26.
• TORKAYESH, S. E., AMIRI, A., IRANIZAD, A., TORKAYESH, A. E. (2020) “Entropy Based EDAS Decision Making Model for Neighborhood Selection: A Case Study in Istanbul” Journal of Industrial Engineering and Decision Making, 1 (1), pp. 1-11.
• TORRANCE, G. W., BOYLE, M. H., HORWOOD, S. P. (1982) “Application of Multi-Attribute Utility Theory to Measure Social Preferences for Health States” Operation Research, 30 (6), pp. 1043-1069.
• USLU, Y. D., YILMAZ, E. YİĞİT, P. (2021) “Developing Qualified Personnel Selection Strategies Using MCDM Approach: A University Hospital Practice” Emerald Limited Publishing, Strategic Outlook in Business and Finance Innovation: Multidimensional Policies for Emerging Economies, pp. 195-205.
• VACKOVA, L., HAJDIKOVA, T. (2017) “Evaluation of Czech Hospitals Performance Using MCDM Methods” WCECS 2017, October 25-27.
• WANG, P., ZHU, Z., WANG, Y. (2016) “A Novel Hybrid MCDM Model Combining the SAW, TOPSIS and GRA Methods Based on Experimental Desing” Information Sciences, 345, pp. 27-45.
• WANG, T.C., LEE, H. D. (2009) “Developing A Fuzzy TOPSIS Aprroach Based on Subjective Weights and Objective Weights” Expert Systems with Applicaitons, 36 (5), pp. 8980-8985.
• WU, W-W. (2011), “Beyond Travel & Tourism Competitiveness Ranking Using DEA, GST, ANN And Borda Count”, Expert Systems with Applications, Vol. 38, No. 15, pp. 12974-12982.
• WU, X., HUANG, Z., SHEN, S. (2019) “Comprehensive Evaluation of Medical Service Ability of TCM Hospitals in 30 Provinces, Autonomous Regions and Municipalities of China in 2017 Based on Entropy Weight TOPSIS Method and RSR Method” WSSE, pp. 108-112.
• YILDIRIM, B. F. (2015) “Çok Kriterli Karar Verme Problemlerinde ARAS Yöntemi” Kafkas Üniversitesi İİBF Dergisi, 6 (9), s. 285-296.
• YANG, L., ZHAO, J., ZHAO, J., ZHAO, D. (2018) “Comprehensive Evaluation of Medical Quality in Tertiary Hospitals Based on Entropy Weight TOPSIS Method” Xueming; Departmen of Management and Economics.
• ZAVADSKAS, E. K., TURSKIS, Z., VILUTIENE, T. (2010) “Multiple Criteria Analysis Of Foundation İnstalment Alternatives By Applying Additive Ratio Assessment (ARAS) Method” Archives of civil and mechanical engineering, Vol. 10, No. 3, pp. 123-141.
• ZERENLER, M., ÖĞÜT, A. (2007) “Sağlık Sektöründe Algılanan Hizmet Kalitesi ve Hastane Tercih Nedenleri Araştırması: Konya Örneği” Selçuk Üniversitesi Sosyal Bilimler Dergisi, 18, s. 501-519.
• ZHANG, H., GU, C. L., GU, L. W., ZHANG, Y. (2011) “The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China” Tourism Management, Vol. 32, No. 2, pp. 443-451.
• ZIETSMAN, J., RILETT, L. R., KIM, S-J. (2006) “Transportation Corridor Decision-Making Multi-Attribute Utility Theory” International Journal of Management and Decision Making, 7 (2/3), pp. 254-266.