MATERIALS AND METHODS: Water samples were subjected to in situ and laboratory water quality analyses and focused on pH, turbidity, chlorine, Escherichia coli, total coliform, total hardness, iron (Fe), aluminium (Al), zinc (Zn), magnesium (Mg) and sodium (Na). All procedures followed the American Public Health Association (APHA) testing procedures.
RESULTS: Based on the results obtained, the values of each parameter were found to be within the safe limits set by the NDWQS except for total coliform and iron (Fe). PCA has indicated that turbidity, total coliform, E. coli, Na, and Al were the major factors that contributed to the drinking water contamination in river water intake.
CONCLUSION: Overall, the water from all sampling point stations after undergoing water treatment process was found to be safe as drinking water. It is important to evaluate the drinking water quality of the treatment plant to ensure that consumers have access to safe and clean drinking water as well as community awareness on drinking water quality is essential to promote public health and environmental protection.
Methods: A multi-center cross sectional study was conducted for a month in out-patient wards of hospitals in Khobar, Dammam, Makkah, and Madinah, Saudi Arabia. Patients were randomly selected from a registered patient pools at hospitals and the item-subject ratio was kept at 1:20. The tool was assessed for factorial, construct, convergent, known group and predictive validities as well as, reliability and internal consistency of scale were also evaluated. Sensitivity, specificity, and accuracy were also evaluated. Data were analyzed using SPSS v24 and MedCalc v19.2. The study was approved by concerned ethics committees (IRB-129-25/6/1439) and (IRB-2019-05-002).
Results: A total of 282 responses were received. The values for normed fit index (NFI), comparative fit index (CFI), Tucker Lewis index (TLI) and incremental fit index (IFI) were 0.960, 0.979, 0.954 and 0.980. All values were >0.95. The value for root mean square error of approximation (RMSEA) was 0.059, i.e., <0.06. Hence, factorial validity was established. The average factor loading of the scale was 0.725, i.e., >0.7, that established convergent validity. Known group validity was established by obtaining significant p-value <0.05, for the associations based on hypotheses. Cronbach's α was 0.865, i.e., >0.7. Predictive validity was established by evaluating odds ratios (OR) of demographic factors with adherence score using logistic regression. Sensitivity was 78.16%, specificity was 76.85% and, accuracy of the tool was 77.66%, i.e., >70%.
Conclusion: The Arabic version of GMAS achieved all required statistical parameters and was validated in Saudi patients with chronic diseases.
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
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 2 tertiary care hospitals in Karachi, Pakistan. Sample size was calculated based on item-subject ratio. The translation was carried out using standard procedures for translation and cross-culture adaptation. The validation process included estimation of discrimination power, item difficulty index, factorial, convergent, construct and known group validities and reliability. Reliability of the scale was estimated using Kuder-Richardson Formula 20 and a value of σ2 ≥ 0.6 was acceptable. SPSS v23, Remark Classic OMR v6 software and MedCalc Statistical Software v16.4.3, were used to analyze the data. The study was approved by the relevant ethics committee (IRB#NOV:15).
RESULTS: The mean score was 7.68 ± 2.52 (95% CI: 7.31-8.05) for 177 patients. The σ2 = 0.601, that is, >0.6, test-retest reliability ρ = .753, P
METHODS: This cross-sectional study was conducted among patients on warfarin in Pakistan. By purposive sampling, data were collected using demographic data collection form and the World Health Organization Quality of Life: Brief Version (WHOQOL-BREF). The WHOQOL-BREF is comprised of four domains; physical, psychological, social relationships, and environment. Descriptive and inferential statistical analysis was done using SPSS version 22.
RESULTS: Out of 295 warfarin patients, more females than males (<0.001) were observed (n = 184, 62.4%, and n = 111, 37.6% respectively). One hundred and eighteen (40.0%) patients were less than 30-years of age, whereas one hundred and seventy-seven (60.0%) patients were above 30-years of age. Mean scores for the physical (62.44±15.36), psychological (67.84±15.54), social (64.27±26.28) and environment domains (63.45±17.66) were observed.
CONCLUSION: Patients had overall lower to moderate but satisfactory HRQoL scores in all four domains. Age, gender, employment status, education level, the indication of use and duration of warfarin therapy was associated with one or more domains of HRQoL among warfarin patients. The findings of this study would serve as a primary database for future studies. This study highlights how non-clinical factors could impact HRQoL in studied patients.