Project description:BackgroundThe current study was undertaken to examine total hospital costs per patient of a consecutive implantation series of two 3rd generation Left Ventricle Assist Devices (LVAD). Further we analyzed if increased clinical experience would reduce total hospital costs and the gap between costs and the diagnosis related grouped (DRG)-reimbursement.MethodCost data of 20 LVAD implantations (VentrAssist™) from 2005-2009 (period 1) were analyzed together with costs from nine patients using another LVAD (HeartWare™) from 2009-June 2011 (period 2). For each patient, total costs were calculated for three phases - the pre-LVAD implantation phase, the LVAD implantation phase and the post LVAD implant phase. Patient specific costs were obtained prospectively from patient records and included personnel resources, medication, blood products, blood chemistry and microbiology, imaging and procedure costs including operating room costs. Overhead costs were registered retrospectively and allocated to the specific patient by predefined allocation keys. Finally, patient specific costs and overhead costs were aggregated into total hospital costs for each patient. All costs were calculated in 2011-prices. We used regression analyses to analyze cost variations over time and between the different devices.ResultsThe average total hospital cost per patient for the pre-LVAD, LVAD and post-LVAD for period 1 was $ 585, 513 (range 132, 640- 1 247, 299), and the corresponding DRG- reimbursement (2009) was $ 143, 192 . The mean LOS was 54 days (range 12- 127). For period 2 the total hospital cost per patient was $ 413, 185 (range 314, 540- 622, 664) and the corresponding DRG- reimbursement (2010) was $ 136, 963. The mean LOS was 49 days (range 31- 93).The estimates from the regression analysis showed that the total hospital costs, excluding device costs, per patient were falling as the number of treated patients increased. The estimate from the trend variable was -14, 096 US$ (CI -3, 842 to -24, 349, p < 0.01).ConclusionThere were significant reductions in total hospital costs per patient as the numbers of patients were increasing. This can possibly be explained by a learning effect including better logistics, selection and management of patients.
Project description:Introduction/aimTurkey has experienced a heavy migration burden in recent years due to its location and benevolent policies. This study aimed to retrospectively examine and discuss the reports prepared for foreign nationals who requested assistance at the Forensic Medicine Department of Tokat Gaziosmanpaşa University Hospital in Tokat, which is located in the Middle Black Sea Region of Turkey, between 2014 and 2022.Materials and methodsThis study retrospectively evaluated reports prepared between 2014 and 2022 in the outpatient clinics of Forensic Medicine at Tokat Gaziosmanpaşa University Hospital.ResultsBased on the files reviewed, 219 cases were included in the study, of which 70.8% (n = 155) were male and 29.2% (n = 64) were female. Among the 75 cases referred by judicial authorities, 34.6% (n = 26) involved assault, 28% (n = 21) involved determination of the ability to understand the legal significance and consequences of the act, 16% (n = 12) involved traffic accidents, 8% (n = 6) involved poisoning, 9.3% (n = 7) involved abuse, and 4% (n = 3) involved age determinations.DiscussionProblems with immigrants, which have always been a reality due to Turkey's location on migration routes, have increased significantly in recent years. For this reason, we believe that studies with multicenter and larger series should be conducted to determine the current situation that foreigners create for themselves and Turkey to facilitate necessary arrangements, determine proposed solutions, increase the quality of services offered, and develop plans for the future.
Project description:we adopted DIA-MS method to profile serum proteome signatures of acute asthma children and convalescent ones. As result, we identified 747 proteins were identified in 46 serum samples and detected 37 differentially expressed proteins that could clearly separate asthmatic and healthy children.