Analysis of Performance of Education and Research Hospitals in Turkey by TOPSIS Method

Objective: The aim of this study is to analyze the performance of the education and research hospitals affiliated to the Ministry of Health with the TOPSIS method which is one of the multi-criteria decision making techniques. Method: The population of the study covers all hospitals in the A1 group of the Ministry of Health. In the study, the whole sample was not reached. Research data were collected from the Ministry of Health statistics reports. In the research, as hospital performance evaluation criterion; The number of outpatient clinics per physician, rate of physician per bed, rate of nurse per bed, weighted number of surgeries per physician, bed occupancy rate, bed turnover rate, average number of days of hospitalization were taken into account. hospitals are ranked according to their performance levels. Results: According to the findings obtained from the research data, the average performance score of the hospitals was determined as 0.4647. The hospital that has the highest score is Giresun University Dr. A. İlhan Özdemir hospital with a performance score of 0.7270. The lowest rated hospital was Gülhane Training and Research Hospital with 0.2577 points. The lowest average performance score on the basis of provinces was found to be 0,3395, 0,3682, 0,4493, 0,4819, 0,5057 respectively in İzmir, Ankara, İstanbul, Antalya and other provinces. Conclusion: The number of staff and beds with the provinces is less than the population in general depends on the performance of education and research hospital, the Ministry of Health in Turkey has been found to have higher levels of performance of hospitals is low. About 50% of the number of hospitals, beds and personnel of the A1 group of hospitals affiliated to the Ministry of Health are in Istanbul, Ankara, Izmir and Antalya. This results in lower hospital performance in these provinces than hospitals in other provinces. Therefore, health policy and planning makers, hospitals, resources (personnel, beds, devices, materials and buildings, etc.) to make use of multi-criteria decision making methods such as TOPSIS when making allocation and prioritizing.