Ekonomi Bölümü Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1936
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Conference Object Evaluating the Economic Burden and Health Care Utilization of Coronary Artery Disease in the Us Medi-Cal Population(2016) Zhang, Q; Zhao, Y; Keshishian, A; Xie, L; Yuce, H; Başer, Onur...Conference Object A Comparative Analysis of the Health Care Utilization and Costs of Patients Diagnosed With and Without Liver Cancer in the Us Medicare Population(2017) Ogbomo, A.; Lin, Y.; Keshishian, A; Xie, L; Yuce, H; Başer, Onur...Conference Object Spatial Distribution of the Total Number of Medical Devices in Turkey: a Classification Analysis(2016) Cinaroğlu, S.; Başer, OnurObjectives: The unbalanced distribution of medical technologies and devices between rural and urban areas is a major problem for developing countries including Turkey. After the establishment of Public Hospital Unions (PHUs) in Turkey, legislative changes were made to improve the autonomy of public hospitals. This study utilizes spatial analysis to assess the distribution of medical device use in Turkey using PHUs as a decision making unit. Methods: Data from the PHUs’ statistics year book for the year 2014 was assessed. The total number of PHUs is 89. A Hierarchical cluster analysis was performed to classify PHUs according to the total number of medical devices. The Euclidean distance measure and Wards methods were used in the analysis for classification. Results: Study results show that, in Turkey, PHUs were categorized into two clusters based on the total number of medical devices available. Regarding the spatial distribution of the clusters, the first cluster represents PHUs in rural areas, and the second represents PHUs located in urban areas of Turkey. PHUs representing large cities with high population density were included in one cluster, and all other PHUs were included in the second. Statistical test results indicated that the two clusters differ according to the total number of magnetic resonance imaging (MRI: t= -14.10, p< 0.01), computed tomography (CT) scan (t= -15.75, p< 0.01), mammography (t= -11.40, p< 0.01), ultrasonography (t= -14.62, p< 0.01), and electrocardiography (EKG; t= -12.29, p< 0.01) equipment available. Conclusions: It is advisable for health policy makers and health technology assessment authorities in Turkey to focus on the differences between rural and urban areas of the country when determining the need for medical devices.Conference Object Trends in Prevalence and Incidence Rates of Type 2 Diabetes Mellitus in the Medicare Population(2015) Xie, L; Wang, Y; Tan, H; Ogbomo, A; Başer, Onur; Yuce H....Conference Object Mortality and Rehospitalization Rates Among Hospitalized Congestive Heart Failure Patients in the Us Medicare Population(2016) Pandya S; Du, H; Wang, L; Yuce, H; Başer, Onur...Conference Object Demographic and Clinical Characteristics of Patients With Polycythemia Vera (pv) in the Us Veterans Population(2016) Parasuraman S; Yu J; Paranagama D; Shrestha S; Wang L,; Başer, Onur...Article Citation - WoS: 13Citation - Scopus: 14Economic Outcomes in Patients With Chemotherapy-Naive Metastatic Castration-Resistant Prostate Cancer Treated With Enzalutamide or Abiraterone Acetate Plus Prednisone(Springer, 2020) Lechpammer, Stanislav; Ramaswamy, Krishnan; Wang, Li; Mardekian, Jack; George, Daniel J.; Sandin, Rickard; Schultz, Neil M.; Başer, Onur; Huang, AhongIntroduction: Prostate cancer (PC) is the second leading cause of cancer death among US men and accounts for considerable healthcare expenditures. We evaluated economic outcomes in men with chemotherapy-naı¨ve metastatic castration-resistant PC (mCRPC) treated with enzalutamide or abiraterone acetate plus prednisone (abiraterone). Methods: We performed a retrospective analysis on 3174 men (18 years or older) utilizing the Veterans Health Administration (VHA) database from 1 April 2014 to 31 March 2018. Men with mCRPC were included if they had at least one pharmacy claim for enzalutamide or abiraterone (first claim date = index date) following surgical or medical castration, had no chemotherapy treatment within 12 months prior to the index date, and had continuous VHA enrollment for at least 12 months pre- and post-index date. Men were followed until death, disenrollment, or end of study and were 1:1 propensity score matched (PSM). All-cause and PC-related resource use and costs per patient per month (PPPM) in the 12 months post index were compared between matched cohorts. Results: We identified 1229 men with mCRPC prescribed enzalutamide and 1945 prescribed abiraterone with mean ages of 74 and 73 years, respectively. After PSM, each cohort had 1160 patients. The enzalutamide cohort had fewer all-cause (2.51 vs 2.86; p\0.0001) and PC-related outpatient visits (0.86 vs 1.03; p\0.0001), with corresponding lower all-cause ($2588 vs $3115; p\0.0001) and PC-related ($1356 vs $1775; p\0.0001) PPPM outpatient costs compared with the abiraterone cohort. Allcause total costs (medical and pharmacy) PPPM ($8085 vs $9092; p = 0.0002) and PC-related total costs PPPM ($6321 vs $7280; p\0.0001) were significantly lower in the enzalutamide cohort compared with the abiraterone cohort. Conclusions: Enzalutamide-treated men with chemotherapy-naı ¨ve mCRPC had significantly lower resource utilization and healthcare costs compared with abiraterone-treated men. Plain Language Summary: Plain language summary available for this article.Conference Object Examining the Incidence and Prevalence of Bipolar Disorder Among U.s. Veteran Patients From 2011 To 2015(2016) Bashyal, R; Du, H; Wang, L; Başer, Onur...Conference Object Examining the Incidence and Prevalence of Alcohol Dependence Among Us Veteran Patients(2016) Bashyal, R; Du, H; Wang, L; Başer, Onur...Article Creating National Weights for a Patient-Level Longitudinal Database(2016) Başer, Onur; Li Wang; Maguire J.To create a nationally-representative estimate from longitudinal data by controlling for sociodemographic factors and health status. The Agency for Healthcare Research and Quality’s (AHRQ) Medicare Expenditures Panel Survey (MEPS) was used as the basis for adjustment methodology. MEPS is a data source representing health insurance coverage cost and utilization, and comprises several large-scale surveys of families, individuals, employers, and health care providers. Using these data, we created subset populations. We then used multivariate logistic regression to construct demographics and case-mix-based weights, which were applied to create a population sample that is similar to the national population. The weight was derived using the inverse probability of the weighting approach, as well as a raking mechanism. We compared the results with the projected number of persons in the US population in the same categories to examine the validity of the weights. The following variables were used in the logistic regression: Age group, gender, race, location, income level and health status (Charlson Comorbidity Index scores and chronic condition diagnosis). Relative to MEPS data, patients included in the private insurance data were more likely to be male, older, to have a chronic condition, and to be white (p=0.0000). Adjusted weighted values for patients in the commercial group ranged from 15.47 to 36.36 (median: 16.91). Commercial insurance and MEPS data populations were similar in terms of their socioeconomic and clinical categories. As an outcomes measure, the predicted annual number of patients with prescription claims from private insurance data was 6 963 034. The annual number of statin users were predicted as 6 709 438 using weighted MEPS data. National projections of large-scale patient longitudinal databases require adjustment utilizing demographic factors and case-mix differences related to health status.Article Citation - WoS: 18Citation - Scopus: 18Guns and Homicides: a Multiscale Geographically Weighted Instrumental Variables Approach(Wiley, 2019) Bilgel, FıratThis article assesses the locally varying effects of gun ownership levels on total and gun homicide rates in the contiguous United States using cross-sectional county data for the period 2009–2015. Employing a multiscale geographically weighted instrumental variables regression that takes into account spatial nonstationarity in the processes and the endogenous nature of gun ownership levels, estimates show that gun ownership exerts spatially monotonically negative effects on total and gun homicide rates, indicating that there are no counties supporting the “more guns, more crime” hypothesis for these two highly important crime categories. The number of counties in the contiguous United States where the “more guns, less crime” hypothesis is confirmed is limited to at least 1258 counties (44.8% of the sample) with the strongest total homicide-decreasing effects concentrated in southeastern Texas and the deep south. On the other hand, stricter state gun control laws exert spatially monotonically negative effects on gun homicide rates with the strongest effects concentrated in the southern tip of Texas extending toward the deep south.Article Citation - WoS: 8Citation - Scopus: 8The Use of Decomposition Methods in Real-World Treatment Benefits Evaluation for Patients With Type 2 Diabetes Initiating Different Injectable Therapies: Findings From the Initiator Study(2017) Ke, Xuehua; Buysman, Erin; Wei, Wenhui; Xie, Lin; Grabner, Michael; Brekke, Lee; Başer, OnurBackground: Determining characteristics of patients likely to benefit from a particular treatment could help physicians set personalized targets. OBJECTIVES: To use decomposition methodology on real-world data to identify the relative contributions of treatment effects and patients' baseline characteristics. METHODS: Decomposition analyses were performed on data from the Initiation of New Injectable Treatment Introduced after Antidiabetic Therapy with Oral-only Regimens (INITIATOR) study, a real-world study of patients with type 2 diabetes started on insulin glargine (GLA) or liraglutide (LIRA). These analyses investigated relative contributions of differences in baseline characteristics and treatment effects to observed differences in 1-year outcomes for reduction in glycated hemoglobin A1c (HbA1c) and treatment persistence. RESULTS: The greater HbA1c reduction seen with GLA compared with LIRA (-1.39% vs. -0.74%) was primarily due to differences in baseline characteristics (HbA1c and endocrinologist as prescribing physician; P < 0.050). Patients with baseline HbA1c of 9.0% or more or evidence of diagnosis codes related to mental illness achieved greater HbA1c reductions with GLA, whereas patients with baseline polypharmacy (6-10 classes) or hypogylcemia achieved greater reductions with LIRA. Decomposition analyses also showed that the higher persistence seen with GLA (65% vs. 49%) was mainly caused by differences in treatment effects (P < 0.001). Patients 65 years and older, those with HbA1c of 9.0% or more, those taking three oral antidiabetes drugs, and those with polypharmacy of more than 10 classes had higher persistence with GLA; patients 18 to 39 years and those with HbA1c of 7.0% to less than 8.0% had higher persistence with LIRA. CONCLUSIONS: Although decomposition does not demonstrate causal relationships, this method could be useful for examining the source of differences in outcomes between treatments in a real-world setting and could help physicians identify patients likely to respond to a particular treatment. Copyright (C) 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.Conference Object The Role of Stakeholder Engagement in E-Health and the Use of Big Data To Predict Health Outcomes(2017) Cinaroğlu, S.; Başer, Onur...Book Part Conference Object Comparison of Major-Bleeding Risk and Health Care Costs Among Treatment-Naïve Non-Valvular Atrial Fibrillation Patients Initiating Apixaban, Dabigatran, Rivaroxaban, or Warfarin(2015) Amin, Alpesh; Keshishian, A; Xie, L; Başer, Onur; Price, K; Vo, L; Singh, P; Bruno, A; Mardekian, J; Tan, W; Singhal, S; Patel, C; Odell, K; Trocio J....Conference Object Socio-Economic Status and Self-Rated Health: Are They Good Predictors of Income? an Analysis of Survey Panel Data From Turkey(2016) Çınaroğlu, Songül; Başer, Onur...Article Citation - WoS: 3Citation - Scopus: 4Does Credit Composition Matter for Current Account Dynamics? Evidence From Turkey(Taylor & Francis, 2016) Toraganlı, Nazlı; Ertuğrul, Hasan MuratBased on a dynamic approach using the Kalman filter we depict effects of time-varying interactions between different components of credit stock on the current account in the Turkish Economy for the period 2002Q3–2014Q3. We decompose the credit stock into consumer and non-financial corporate sector credit and show empirically that both types of credit stock have negative effects on the current account dynamicsConference Object Comparative Persistence With Antihyperglycemic Agents (aha) Used To Treat Type 2 Diabetes Mellitus (t2dm) in the Real World(2016) Cai, J; Wang, Y; Başer, Onur; Xie, L; Diels, J; Neslusan, C; Chow, W....Conference Object Real-World Comparison of Major Bleeding and Associated Costs Among Treatment-Naïve Nonvalvular Atrial Fibrillation Patients Initiating Apixaban or Warfarin(2016) Amin, Alpesh; Keshishian, A; Xie L; Başer, Onur; Price, K; Vo, L; Mardekian, J; Mendoza, M; Singhal, S; Patel, C; Odell, K; Trocio, J...Conference Object Examine the Burden of Illness of Us Medicare Patients Diagnosed With Cataract(2016) Tan, H; Xie, L; Wang, Y; Yuce H; Başer, Onur...
