Purpose The purpose of the study was to investigate the efficacy of a community pharmacist–delivered diabetes support program for patients receiving specialty medical care in a middle-income country (Iran). Methods A randomized controlled trial was conducted on 101 patients who received diabetes care from an endocrinologist. A qualified community pharmacist educated patients about medications, clinical goals, self-care activities, and self-monitoring of blood glucose. The pharmacist trained patients in the intervention group for 5 months (5 follow-up visits and 5 phone calls) and recommended physician visits when necessary. The primary outcome was A1C, and the secondary outcomes included self-care activities, medication adherence, blood pressure, and body mass index. Satisfaction and willingness to pay was assessed in the intervention group. Results Eighty-five patients completed the study, and baseline A1C was similar between groups (intervention: 7.6 ± 1.6 [59 mmol/mol] vs control: 7.5 ± 1.9 [58 mmol/mol]). No significant difference was observed between study groups at the end of the trial period; however, the amount of A1C reduction was higher in the intervention group (1.0% ± 1.5% vs 0.5% ± 1.5%). Self-care activity was improved in general diet, blood glucose monitoring, and foot care subcategories in the intervention group. Medication adherence and body mass index were significantly improved in the intervention group at the end of study. Conclusions A community pharmacist intervention improved self-care activity, medication adherence, and body mass index in patients receiving specialty medical care. Baseline A1C values and the presence of specialty medical care should be considered in the interpretation of clinical findings.

Gamification is the use of game design elements in non-game contexts. It is considered a student-centered instructional design to motivate student learning and academic behavior. In this study, the effects of gamification on learning statistics (hypothesis testing issue) and attitude toward statistics in comparison with the common e-learning approach were investigated. The students' experience and critical elements of gamification on learning statistics were assessed, too. In a before and after trial, in a census manner, 64 health faculty students of Guilan University of Medical Sciences, Rasht, Iran, non-randomly were assigned to the intervention (n=42) and control (n=22) groups. Learning activities were gamified in the intervention group, while the control group received traditional problem-solving in the learning management system. Narrative, avatar, level, point, progress bar, scoreboard, challenge and feedback elements were used in the game experience. The implementation of gamification was applied based on Landers' theory of gamified content. Valid and reliable Persian version of the Survey Attitude toward Statistics questionnaire measured the students' attitude before and after the intervention. The EGameFlow questionnaire and a valid and reliable researcher-made exam measured the users' experience of gamified content and learning hypothesis testing after the intervention. The independent samples T-test, analysis of covariance and the partial eta-squared effect size were calculated by SPSS software, version 26. Compared to the control group, the intervention group had a more positive attitude toward learning difficulty (moderate partial eta-squared 0.099), value and cognitive competency (weak partial eta-squared=0.01 and 0.05). Learning between the two groups was not different (P=0.522). There was a significant correlation between learning and the students' perceived experience with feedback (r=0.583, P<0.001), concentration (r=0.509, P=0.005), and challenge (r=0.421, P=0.023) of the gamified content. It suggests using gamification on learning statistics while optimizing the design with more focus on the feedback, challenge and concentration elements.

Acute kidney injury (AKI) is common in hematopoietic stem cell transplantation (HSCT) patients with an incidence of 21–73%. Prevention and early diagnosis reduces the frequency and severity of this complication. Predictive biomarkers are of major importance to timely diagnosis. Neutrophil gelatinase associated lipocalin (NGAL) is a widely investigated novel biomarker for early diagnosis of AKI. However, no study assessed NGAL for AKI diagnosis in HSCT patients. We performed further analyses on gathered data from our recent trial to evaluate the performance of urine NGAL (uNGAL) as an indicator of AKI in 72 allogeneic HSCT patients. AKI diagnosis and severity were assessed using Risk–Injury–Failure–Loss–End-stage renal disease and AKI Network criteria. We assessed uNGAL on days −6, −3, +3, +9 and +15. Time-dependant Cox regression analysis revealed a statistically significant relationship between uNGAL and AKI occurrence. (HR = 1.04 (1.008–1.07), p = 0.01). There was a relation between uNGAL day + 9 to baseline ratio and incidence of AKI (unadjusted HR = 1.047 (1.012–1.083), p < 0.01). The area under the receiver-operating characteristic curve for day + 9 to baseline ratio was 0.86 (0.74–0.99, p < 0.01) and a cut-off value of 2.62 was 85% sensitive and 83% specific in predicting AKI. Our results indicated that increase in uNGAL augmented the risk of AKI and the changes of day +9 uNGAL concentrations from baseline could be of value for predicting AKI in HSCT patients. Additionally uNGAL changes preceded serum Cr raises by nearly 2 days.

Introduction: Percutaneous Coronary Intervention (PCI) has no effect on coronary artery atherosclerosis, thus the modification of physiological risk factors seems essential to prevent coronary artery disease (CAD). Then PCI patients have to receive multiple drug therapies in an attempt to prevent the recurrence of cardiac events. In spite of the evidence based on medication adherence to prevent post-PCI CAD development, medication adherence is the main concern for health care system. Accordingly, this study aims to determine the medication adherence and its related factors among these patients. Methods: In this cross-sectional study, the statistical community was the patients undergoing PCI at medical educational hospital of Dr. Heshmat in Rasht, Iran. 269 patients were selected by convenient sampling method. The data were collected by a questionnaire consisting of 4 parts, namely the socio-individual factors, Morisky medication adherence scale, hospital anxiety and depression scale and cardiac patient’s self-efficacy scale. Data analysis was done by descriptive statistics and the significance variables in univariate analysis were examined in a multi logistic regression model through considering co-linearity. Results: The results showed that 75 patients (28%) didn’t adhere to the medication. In addition, the majority of them were reported to have clinical anxiety (44.2%) and mild depression (55.8%). Also, based on the results derived from multiple logistic regressions, only the spouse's educational level and family history of coronary artery disease were significant predictors of medication adherence. Conclusion: The current study findings display lack of complete post-PCI medication adherence, which underscores the importance of the existence of cardiac rehabilitation systems in the society. Therefore, it is recommended that cardiac rehabilitation centers be built in the society.