Background: Considering the importance of high out-of-pocket (OOP) payment (OOPP), as a marker of health system performance, and affordability of medications in the elderly, this study was conducted to determine these issues. Methods: In this cross-sectional study, prescriptions of patients aged 65 yr or older from 5 university-affiliated pharmacies in Tehran, Iran were evaluated from Jan to Mar 2014. Prescriptions were selected from four insurance organizations. We used the prescriptions data regarding patients’ demographics and the prescribers as well as the sales data for OOP. Affordability was calculated by considering the daily salary of an unskilled worker. Results: Totally, 1467 prescriptions were analyzed. Mean age of patients was 73.89(6.66) yr. Mean (SE) of reimbursable and OOPP of the prescriptions were 203820 (10831) and 230252 (10634) IRR (Iranian Rials) respectively (equivalent to 81.6 (4.33) and 92.17 (4.33) US$ respectively). Subspecialists imposed higher expenditures for patients and insurance organizations. Patients referred to the ophthalmologists paid less OOP. Nearly 50% of the total prescription costs was paid as OOP. The mean OOPP was averagely equal to 1.41(0.065) daily salary. These prescriptions were unaffordable for 36.2% of patients. Conclusion: The OOPP was higher than the insurance goal of 30% for outpatients in Iran. More than one-third of elderly patients could not afford their single prescription. Due to the health consequences of the unaffordability of medications, corrective actions are needed by the insurance organizations and the health system.
Background: Taxane-induced pain is a disabling condition. This trial was conducted to assess the effects of melatonin on preventing paclitaxel-associated acute and chronic pain or decreasing its severity in patients with breast cancer. Methods: This randomized, double-blind, placebo-controlled clinical trial was conducted on breast cancer women who received weekly paclitaxel (80 mg/m2) with or without trastuzumab after using doxorubicin + cyclophosphamide. The intervention group randomly received oral melatonin (10 mg/day) or placebo, which started from the first night of chemotherapy and continued through the planned 12 weeks of chemotherapy. The level of arthralgia-myalgia as acute pain was assessed every day in both groups using the Brief Pain Inventory (BPI). The Douleur Neuropathique 4 questionnaire (DN4) and National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE) version 5.0 were used to measure chemotherapy-induced peripheral neuropathy as chronic pain. Results: Seventeen patients were enrolled in each group randomly. The incidence of neuropathy according to a DN4 score ≥ 4 was significantly lower in the melatonin group versus the placebo group at week 12 compared to baseline (5 vs 11, P-value= 0.039). In addition, the mean neuropathy severity was significantly lower in the melatonin group over time (β= -0.051, P-value= 0.01). However, there were no significant differences in the mean worst and least pain scores over the twelve cycles of treatment between arms (P-value= 0.633, 0.341 respectively). Conclusion: Co-administration of melatonin in women with breast cancer decreased the incidence of severe paclitaxel-associated neuropathy but melatonin was not effective against acute pain.
Background: Tyrosine Kinase Inhibitors (TKIs) are drugs of choice for Chronic Myeloid Leukemia (CML) treatment. CML healthcare costs greatly exceed of other haematological malignancies treatment mostly due to TKIs. There are several generic and brand preparations of imatinib and nilotinib, the only available TKIs, in Iran with different prices and varied insurance coverage. We have studied TKIs utilization and also investigate the effect of different insurance coverage on TKIs utilization in Iran. Methods: This was drug utilization study about Imatinib and Nilotinib over 14 years. It was conducted in two phases; data extraction from pharmaceutical wholesale data (2003-2017) for utilization trend assessment and registered data of prescriptions from Sizdah-Aban Pharmacy (2011-2014) for utilization trend and insurance coverage assessment such as; prescriptions frequency, number of TKIs, insurance companies and their cost coverage in each prescription. Results: Imatinib consumption increased significantly from 2003 to 2013. This trend stopped afterward. Nilotinib consumption had ascending trend. The trend line of years 2014 to 2017 was steeper and statistically significant (β=0.0014, p-value=0.02). The amount of nilotinib cost coverage by insurance companies increased significantly from 2011 to 2014 (p-value=0.04). The coverage of imatinib costs by insurance companies changed slightly during the study period that was not statistically significant. Frequency of prescriptions with full cost coverage doubled for nilotinib, while did not change remarkably for imatinib, from 2011 to 2014. Mean (SD) of imatinib and nilotinib counts per prescription was significantly higher in prescriptions for which 100% of the cost was covered. Conclusion: We found increasing trend in nilotinib utilization and observed some effects from nilotinib cost coverage by insurance on its consumption. This study made a clear picture for policy makers to monitor imatinib and nilotinib use appropriateness and design the proper cost-effective studies to make evidence-based decisions.
Microarray technology results in high-dimensional and low-sample size data sets. Therefore, fitting sparse models is substantial because only a small number of influential genes can reliably be identified. A number of variable selection approaches have been proposed for high-dimensional time-to-event data based on Cox proportional hazards where censoring is present. The present study applied three sparse variable selection techniques of Lasso, smoothly clipped absolute deviation and the smooth integration of counting, and absolute deviation for gene expression survival time data using the additive risk model which is adopted when the absolute effects of multiple predictors on the hazard function are of interest. The performances of used techniques were evaluated by time dependent ROC curve and bootstrap .632+ prediction error curves. The selected genes by all methods were highly significant (P < 0.001). The Lasso showed maximum median of area under ROC curve over time (0.95) and smoothly clipped absolute deviation showed the lowest prediction error (0.105). It was observed that the selected genes by all methods improved the prediction of purely clinical model indicating the valuable information containing in the microarray features. So it was concluded that used approaches can satisfactorily predict survival based on selected gene expression measurements.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.