Methodology: Diabetic patients were randomly selected and divided into two groups from two tertiary care hospitals. Control group contained those 200 patients who were receiving usual treatment from hospitals. In contrast, the intervention group included those 200 patients who were receiving conventional treatment from hospitals together with separate counselling sessions with pharmacists from Diabetes Medication Therapy Adherence Clinic departments. The study continued for 1 year and two follow-up visits for both groups. A prevalidated data collection form was used to measure the improvement in sign and symptoms and progression of diabetic complication in diabetic patients. Statistical Package for the Social Sciences (SPSS) version 24 was used to analyze the data.
Results: The average hemoglobin A1c (HbA1c) values decreased up to 1.43% in the control group and 2.82% in the intervention group. The intervention group showed significant improvement in HbA1c between groups (P < 0.05). The results of univariate and multivariate regression analysis showed that a statistically significant (P < 0.001) improvement was observed in all the predictors of diabetic complications among in the intervention group when compared with the control group.
Conclusion: Statistically significant reduction in the sign and symptoms of diabetic complications was observed in the intervention group at the end of 1 year. The progression of diabetic neuropathy was significantly reduced in the pharmacist intervention group.
Methods: A cross sectional study was conducted for 2 months in out-patient departments at a tertiary care hospital in Khobar, Saudi Arabia. The study collected data from patients with chronic illnesses through convenience sampling. Pearson correlation (ρ) was conducted to report concurrent validity of GMAS. A correlation coefficient value ≥ 0.5 with p-value SAR 10,000, i.e., USD 2666.2 (56.4%). The mean adherence scores obtained from MARS, ARMS and GMAS were 7.09, 19.9, and 27.4. The correlation (ρ) between GMAS and MARS scores was 0.65, and between GMAS and ARMS scores was -0.79, p
Aim: This research aimed to optimize electrospray-operating parameters in producing alginate-RJ microbeads.
Materials and Methods: Optimization of alginate-RJ microbeads electrospray parameters was carried out using 24 factorial design with three center points (19 runs). The studied parameters were flow rate, high voltage, nozzle size, and tip-to-collector distance, whereas the responses were particle size, particle size distribution, and sphericity factor. The responses of each run were analyzed using Design-Expert software.
Results: Nozzle size is a significant parameter that influences the particle size. Flow rate is a significant parameter influencing the sphericity factor.
Conclusion: Screening of the electrospray-operating parameters paves the way in determining the significant parameters and their design space to produce consistent alginate-RJ microbeads.