Poor sleep quality and associated factors among adult chronic kidney disease patients

BackgroundPoor sleep quality is a common concern in chronic kidney disease (CKD) patients, which can accelerate the progression of chronic renal disease and negatively impact their health-related quality of life, potentially leading to greater morbidity and mortality rates. It can also have an effect on the immune system, cognitive function, and emotional well-being of CKD patients. Furthermore, poor sleep quality may contribute to drug noncompliance and decreased participation in the entire treatment plan. Nonetheless, no research has been undertaken in Ethiopia on the prevalence of poor sleep quality and its associated factors among CKD patients.ObjectiveThis study aimed to assess the prevalence of poor quality of sleep and associated factors among chronic kidney disease patients at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals in 2020.MethodsA cross-sectional study design was implemented at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals between February and April 2020. The study participants were chosen through systematic random sampling techniques. The Pittsburgh Sleep Quality Index (PSQI), a validated assessment tool, was utilized to measure sleep quality. A PSQI total score > 5 was used as an indicator of poor sleep quality. Subsequently, the data obtained were entered into Epi Data version 3.0 and then transferred to STATA 14 for analysis. Both bivariable and multivariable binary logistic regression analyses were performed to recognize factors associated with poor sleep quality. In the multivariable logistic regression analysis, variables demonstrating a p-value of ≤0.05 were considered statistically associated to poor sleep quality.ResultsIn this study, 424 CKD patients were included. Among screened CKD patients, 42.9% tested positive for poor sleep quality with a 95% CI (38 to 47%). Independent predictors of poor sleep quality among CKD patients were common mental disorder [AOR = 1.8, 95% CI (1.19–2.89)], anemia [AOR = 2.7, 95% CI (1.71–4.36)], declined eGFR between 60 and 89.9 [AOR = 1.6; 95% CI (2.28–5.54)], 30–59.9 [AOR = 2.6, 95% CI (1.53–4.43)], and ≤ 30 [AOR = 3.8, 95% CI (1.17–12.61)], age > 50 years [AOR = 1.7(1.11–2.69)] and duration of disease 2.9 [AOR = 2.9, 95% CI (1.77–4.90)].ConclusionIn our study, almost 1 out of 2 CKD patients assessed for poor sleep quality tested positive. It was noted that poor sleep quality was more frequent among CKD patients with common mental disorders, anemia, decreased eGFR levels, individuals aged over 50 years, and those with a longer duration of the disease. Consequently, it’s advised to regularly screen these CKD patients for poor sleep quality

Prescription pattern and associated factors among pregnant women attending antenatal clinics in University of Gondar, North West Ethiopia

Background: An inappropriate use of drug during pregnancy may harm the fetus. There is no enough study on drug use among pregnant women at the University of Gondar referral hospital. Most studies are carried out in developed countries but not in developing countries. Thus, the aim of this study was to evaluate prescription of drug and associated factors among pregnant women attending antenatal care service in University of Gondar referral hospital. Methods: Institution based cross sectional study was used among 334 pregnant women who attended antenatal care units of the University of Gondar referral hospital. Data were collected from the pregnant women medical records and registration logbook and analyzed using SPSS version 23. Multivariate logistic regression used to analyze the association of the independent variables with drug use. P-values <0.05 were considered significant. Result: A total of 334 pregnant women's medical records showed a total of 631 drugs prescribed. The average numbers of drugs per pregnant women was 1.88. All pregnant women (100%) were prescribed with iron folat. Most pregnant women 185 (55.2%) were in the third trimester followed by third trimester 91 (27.25%). Moreover, 23.77%, 42.95%, 33%, and 7% pregnant women encountered with drugs from category A, B, C and D respectively. From the bivariate regression analysis, Age of women, maternal illness, trimester at the first visit, and gravidity were significantly associated with exposure to prescribed drug use during pregnancy. Conclusion: The present study showed the deviation of drug use pattern from the WHO optimal levels proposing the hospitals had inappropriate use of drug. Implementing corrective measures are required to achieve the recommended standards of appropriate drug use