Background Cancer is one of the leading causes of morbidity and mortality in the world. https://www.selleckchem.com/Proteasome.html It results in considerable mental, physical, and emotional stress for patients. Because of the nature and impact of the disease, and its treatment, measurements of patient satisfaction are important to bring to the attention of health-care providers in order to improve care. Objective To assess patient satisfaction at the adult oncology center of Tikur Anbessa Specialized Hospital, Ethiopia using the EORTC PATSAT-C33 tool. Methods A facility-based cross-sectional study was conducted from January 2019 to May 2019. A consecutive sampling technique was employed to recruit a total of 384 study participants. Informed consent was obtained for each participant and data were collected using an interviewer-administered questionnaire. Ethical clearance and approval of the study protocol were obtained from the institutional ethics review board of the school of pharmacy. Descriptive statistics was used to summarize the data, while multivariate linear regression analysis was employed to explore factors affecting patient satisfaction. P70. Hence, a concerted effort must be made to understand and improve patient satisfaction in oncology health-care services in Ethiopia.Introduction Older adults have complex medication self-management challenges that can contribute to poor disease control. Methods In 2016, an interprofessional medication self-management program was implemented in an internal medicine primary care residency clinic caring for a large proportion of indigent patients. This was a 1-year, quasi-experimental, pre-post study approved by the Institutional Review Board to evaluate the impact of this program on hypertension and diabetes control in older adults. Patients aged 60 years or older with both systolic blood pressure > 140 mm Hg and A1C > 7.5% were included in the study; patients who did not have these characteristics were excluded. Interprofessional team members (nurses, certified medical assistants, pharmacist, dietician, social worker, and nurse technician) obtained 6-month medication fill histories from pharmacies and provided findings to physicians prior to patient appointments. During patient appointments, medication self-management interventions were performed such as motivational interviewing and regimen simplification. Members contacted patients by phone after each appointment for ongoing medication self-management support. Results Of 50 patients, the mean age was 67 years, 78% were female, 88% were black, the mean baseline systolic blood pressure was 159.8 mm Hg, and A1C was 9.7%. The 1-year mean systolic blood pressure was significantly reduced [151.5 mm Hg vs 141.8 mm Hg, -9.7 mm Hg difference, 95% confidence interval (CI) -6.19 to -13.19, P less then 0.001], and the 1-year mean A1C was significantly reduced (9.6% vs 8.6%, -1.0% difference, 95% CI -0.49 to -1.39, P less then 0.001) after implementation. Compared to baseline, the mean systolic blood pressure and A1C were significantly lower at each follow-up visit. Conclusion This interprofessional medication self-management initiative improved systolic blood pressure and A1C in underserved older adults in an internal medicine residency clinic.Purpose To evaluate, in a proof-of-concept study, a decision aid that incorporates hypothetical choices in the form of a discrete-choice experiment (DCE), to help patients with early rheumatoid arthritis (RA) understand their values and nudge them towards a value-centric decision between methotrexate and triple therapy (a combination of methotrexate, sulphasalazine and hydroxychloroquine). Patients and methods In the decision aid, patients completed a series of 6 DCE choice tasks. Based on the patient's pattern of responses, we calculated his/her probability of choosing each treatment, using data from a prior DCE. Following pilot testing, we conducted a cross-sectional study to determine the agreement between the predicted and final stated preference, as a measure of value concordance. Secondary outcomes including time to completion and usability were also evaluated. Results Pilot testing was completed with 10 patients and adjustments were made. We then recruited 29 patients to complete the survey median age 57, 55% female. The patients were all taking treatment and had well-controlled disease. The predicted treatment agreed with the final treatment chosen by the patient 21/29 times (72%), similar to the expected agreement from the mean of the predicted probabilities (68%). Triple therapy was the predicted treatment 24/29 times (83%) and chosen 20/29 (69%) times. Half of the patients (51%) agreed that completing the choice questions helped them to understand their preferences (38% neutral, 10% disagreed). The tool took an average of 15 minutes to complete, and median usability scores were 55 (system usability scale) indicating "OK" usability. Conclusion Using a DCE as a value-clarification task within a decision aid is feasible, with promising potential to help nudge patients towards a value-centric decision. Usability testing suggests further modifications are needed prior to implementation, perhaps by having the DCE exercises as an "add-on" to a simpler decision aid.Purpose Dioscin, a natural glycoside derived from many plants, has been proved to exert anti-cancer activity. Several studies have found that it reverses TGF-β1-induced epithelial-mesenchymal transition (EMT). Whether dioscin can reverse EMT by pathways other than TGF-β is still unknown. Methods We used network-based pharmacological methods to systematically explore the potential mechanisms by which dioscin acts on lung cancer. Cell Counting Kit-8 assay, scratch healing, Transwell assay, Matrigel invasion assay, immunofluorescence assay, and Western blotting were employed to confirm the prediction of key targets and the effects of dioscin on EMT. Results Here, using network-based pharmacological methods, we found 42 possible lung cancer-related targets of dioscin, which were assigned to 98 KEGG pathways. Among the 20 with the lowest p-values, the PI3K-AKT signaling pathway is involved and significantly related to EMT. AKT1 and mTOR, with high degrees (reflecting higher connectivity) in the compound-target analysis, participate in the PI3K-AKT signaling pathway.