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    Determining Breast Cancer Treatment Costs Using the Top Down Cost Approach
    (Aves, 2019) Tekin, Rukiye Numanoglu; Saygili, Meltem
    Objective: Breast cancer is the most common type of cancer among women in Turkey, with approximately 15.000 breast cancer diagnoses each year. In this study, our goal was to determine annual direct medical costs of all breast cancer patients in Turkey with top down cost approach. Materials and Methods: Data regarding patients who have been diagnosed with breast cancer and received health services from any hospital in Turkey in 2014 were used for the purpose of the study. Data were obtained from the MEDULA System for a total of 126.664 patient. Treatment of costs of patients were calculated based on types of patient admissions (inpatient/outpatient/intensive care) and costs of drugs and medical equipment. Indirect costs and out of pocket costs were not included. Results: Total medical costs of 126,664 patients was calculated as $116.792.107,9, with an average treatment cost per patient of $922,1. Based on types of patient admission, intensive care treatment had the highest average cost with $2.916.5. In metastatic breast cancer patients, average annual treatment cost per patient is $2.326,6, which is 2.8 times higher compared to non-metastatic breast cancer patients. Conclusion: In order to ensure effective resource allocation at micro and macro level, healthcare administrators have to learn costs of diseases with high incidence such as breast cancer. Results obtained from studies on disease costs calculated using the top down cost approach provide data on actual health services use and therefore are seen as important tools for healthcare administrators in terms of effective resource allocation.
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    Öğe
    TRUST IN THE HEALTHCARE SYSTEM AND SOCIAL CORONAVIRUS ANXIETY; A STUDY IN THE TURKISH SOCIETY
    (Dokuz Eylul Univ Inst Health Sciences, 2022) Saygili, Meltem; Tekin, Rukiye Numanoglu
    Purpose: The aim of this research is to determine the level of trust in the healthcare system and coronavirus anxiety of the Turkish society during the COVID-19 pandemic. Methods: To obtain the data; Multidimensional Trust in Health-Care Systems Scale (MTHCSS) and Coronavirus Anxiety Scale (CAS) were used. The research was carried out with 1185 people living in Turkey between August and September 2020, using an online questionnaire. Two-Sample Independent TTest, One-Way Analysis of Variance (ANOVA) and correlation analysis were used in the analysis of the data. Results: It was determined that the mean scale scores of the participants the MTHCSS was high (59.06 +/- 13.76) and the mean score of the CAS was (1.86 +/- 3.30) low. Analyses carried out; showed that there are significant statistical differences between gender, presence of chronic disease, working status and compliance with the measures taken, trust in the healthcare system and coronavirus anxiety (p< 0.05). In Addition, the correlation analysis performed showed that there is a weak negative relationship between trust in the healthcare system and social coronavirus anxiety. Conclusion: The results showed that the Turkish society trusts their healthcare system. This makes think that the struggle given under the pandemic conditions is well managed by the Turkish healthcare system.