Browsing by Author "Ince, Ozgur"

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Citation Count: 0
DETERMINATION OF FACTORS AFFECTING HEALTH CARE UTILIZATION WITH PANEL DATA ANALYSIS
(Mehmet Akif Ersoy Univ, 2021) Yilmaz, Faruk; Boz, Canser; Ince, Ozgur
Nowadays, there are significant improvements in healthcare, meanwhile significant differences remain in healthcare utilization. These differences arise due to the effect of many factors, especially socioeconomic factors. From this point of view, this research by considering healthcare utilization in 81 provinces of Turkey, aimed to determine the factors that influence healthcare utilization. For this purpose, we used the number of physician visits per capita as an indicator of healthcare utilization. Based on the five-year (2013-2017) data of 81 provinces, we determined the explanatory factors affecting healthcare utilization with the model created in panel data analysis. As a result of the research, we found that population aged over 65 years, number of beds per 10,000 people, and ratio of urban population explained the differences in health care utilization. These results provide information on understanding the underlying causes and influencing factors of health care utilization and creating health policies.
Citation Count: 3
Evaluation of rare diseases policy performance of oecd countries using mcdm methods
(Elsevier Sci Ltd, 2021) Ince, Ozgur; Gure, Merve Deniz Pak
Objectives: Rare diseases affect less than one out of every 2.000 people, which means they are much less visible in the general population than common diseases. It has several negative consequences for both patients and healthcare systems. Because of this negative effect, healthcare programs and policies must be well-structured. Nonetheless, countries' efforts in this area should be assessed to ensure effectiveness. The aim of this study is to assess the policy performance of 18 OECD countries in terms of rare diseases using health policy indicators. Methods: The outcomes of rare disease policy are identified using multi-objective optimization based on ratio analysis, complex proportional assessment, and technique for order preference by similarity to ideal solution methods, which are among the most efficient selection and ranking methods. Results: Germany, France, and the Netherlands are among the countries with the strongest rare disease policies. Latvia, Greece, and Turkey are among the lowest-performing countries in the ranking. Conclusions: Performance evaluation studies for service delivery and policy arrangements in the field of rare diseases are necessary.