Ekonomi Bölümü Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1936
Browse
5 results
Search Results
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.Article Citation - WoS: 19Citation - Scopus: 19Understanding the Relationship Between Effectiveness and Outcome Indicators To Improve Quality in Healthcare(Routledge Journals, Taylor & Francis Ltd, 2016-12-27) Çınaroğlu, Songül; Başer, OnurHealthcare institutions face significant challenges in implementing quality initiatives such as performance measurement. In the wake of multiple studies emphasising deficiencies in performance measurement in healthcare, measuring the performance of healthcare services to improve quality takes a great attention in the literature. Understanding the relationships between performance indicators is a first step for this. Effectiveness, which is one of the performance indicators in healthcare, reflects the effect of health interventions on health outcomes. Accessibility of services and utilisation are the two main dimensions of this concept. These indicators have the potential for improving outcomes, performance, and quality in health. This study explores the relationship between effectiveness and health outcome indicators as they relate to the development level and geographic region of 81 provinces in Turkey using a path analytic model. The numbers of hospitals and physicians are used as indicators of accessibility of healthcare services, while the average length of stay and number of surgical operations are used as indicators of utilisation. Life expectancy and general satisfaction from healthcare services are determined as outcome measures. According to the final path model, a strong relationship exists between accessibility indicators and health outcomes. A strong relationship was also found between life expectancy and general satisfaction with healthcare services, which are the objective and subjective outcome measures in healthcare, respectively. These results help our understanding of the relationship among key performance measures to improve health systems performance and quality.Conference Object Citation - WoS: 2The Relationship Between Medical Innovation and Health Expenditures(Elsevier Science Inc, 2016-11-01) Çınaroğlu, Songül; Guzel, E; Başer, OnurObjectives: It is widely accepted that medical innovation includes many costly activities, and that it is a key driver of rising health care expenditures. Understanding the relationship between medical innovation and health care expenditures is critical for health policy makers to effectively make resource allocation decisions. This study seeks to investigate the relationship between medical innovation and health care expenditures. Methods: We assessed data from the World Intellectual Property Organization and World Bank statistics for the year 2014, which included data from 72 countries. The number of patent publications in the categories of medical technology, biotechnology, and pharmaceuticals were included as medical innovation indicators; public heath, health care costs per capita, and total health care costs (percentage of gross domestic product [GDP]) were included as indicators of health care-related expenditures. A canonic correlation analysis (CCA) was performed to examine the degree of association between the sets of medical innovation and health care expenditure variables. Results: Study results indicate that there is a strong positive correlation between medical innovation and health care expenditure variables (rc= 0.68, p<0.001). Conclusions: In light of this study, health policy makers should manage the relationship between medical innovation and health care expenditures with a focus on accessibility. Improved communication channels in the social system, increased international cooperation, and the determination of a proper balance between the benefits and costs of innovation may help to continue improving medical innovation and enhance health care accessibility. We hope that the study results offer an increased awareness of the relationship and balance between innovation and expenditure, and will help to create an improved health system.Conference Object Socio-Economic Status and Self-Rated Health: Are They Good Predictors of Income? an Analysis of Survey Panel Data From Turkey(Elsevier Science Inc, 2016) Çınaroğlu, Songül; Başer, Onur...