Ekonomi Bölümü Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1936
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Article Citation - WoS: 4Citation - Scopus: 6Does the Unification of Health Financing Affect the Distribution Pattern of Out-Of Health Expenses in Turkey?(Wiley, 2019-04-07) Çınaroğlu, Songül; Başer, OnurTurkey has implemented health reforms for over a decade and has taken significant steps toward unifying health financing. This study investigated the financial burden associated with out-of-pocket (OOP) expenditures under universal health coverage, using national 2003–2015 household budget data from the Turkish Statistical Institute. Progress was evaluated using Kakwani–Suits indices and Lorenz concentration curves. The results indicate that overall, more than a decade after its unification, redistribution of wealth in the Turkish health financing system has benefitted the wealthy but not the poor. Both curve and index approaches (Kakwani index 2003 = -0.50; 2015 = -0.44) reveal an increasingly regressive pattern of OOP health expenditures. The effective use of fiscal space and good political leadership are essential for the successful continuation of reforms to combat poverty in Turkey.Article Network Among Hta Ecosystem(Springer Verlag, 2018-09-25) Çınaroğlu, Songül; Başer, OnurThis study intends to examine the main drivers of network relations among health technology assessment (HTA) organizations. Social network analysis was performed to determine the relations among HTA organizations and to visualize the main drivers of such collaboration. The members in HTA organizations such as International Society for Pharmacoeconomics and Outcomes Research, Health Technology Assessment international, International Network of Agencies for Health Technology Assessment, EuroScan, European Network for Health Technology Assessment, HTAsiaLink, and Health Technology Assessment Network for the Americas are said to create networks. Ten different HTA organizations were considered in the analysis, including the Ministry of Health (MoH) organizations, universities, for-profit organizations, and hospitals. The Fruchterman-Reingold algorithm was used to perform networking, and the average clustering coefficient and average path length were examined to measure collaborative performance. The network graph of the HTA ecosystem shows the highest collaborative frequency among HTA organizations, which are the members of MoH organizations, government agencies, universities, and nonprofit organizations. The average path length was 2.21, and the average clustering coefficient was 36.57, indicating an obvious clustering effect. The study results highlight that networking within the HTA ecosystem is driven by government organizations. Boosting the integration of the private sector into the system and creating data-sharing strategies are essential to foster HTA collaboration. Because HTA is shaped by local dynamics and no gold standard exists for HTA implementation, encouraging collaborative efforts is the only way to avoid redundant efforts and make health technologies available for everyone.