Sleep quality refers to a sense of being refreshed and rested after waking up from sleep. Postoperative patients were vulnerable to poor sleep quality due to having different contributing factors. The prevalence of poor sleep quality among postsurgical patients was left undisclosed in our study setting. Knowing the prevalence and contributing factors for poor sleep quality helps us to develop a strategic plan for prevention and management. A multicenter cross-sectional study design was conducted on 424 postsurgical patients who were selected by a systematic random sampling method. Data was collected using the Pittsburgh Sleep Quality Index by a face-to-face interview. Data analysis was done using SPSS version 25. For categorical data, a chi-square test was done. Bivariable and multivariable analyses were performed to determine whether each of the independent variables is associated with the outcome variable. Based on this study result, the prevalence of poor sleep quality was 64.9%. Among the factors included in this study, variables which had an association with poor postoperative sleep quality were age range 25–54 years (AOR = 15.13), male gender (AOR = 4.81), educational level of secondary school (AOR = 6.29), patient income less than 2500 birr (AOR = 3.77), anxiety (AOR = 2.53), depression(AOR = 22.8), light exposure(AOR = 19.60), poor social support (AOR = 1.98), being emergency surgery (AOR = 2.46) and having a history of moderate to severe pain (AOR = 38.18, (95% CI). Poor sleep quality among adult post-surgical patients was significantly high in Amhara regional comprehensive referral hospitals. Therefore; Clinicians need to prioritize postoperative sleep quality assessment and needs to minimize factors inducing postoperative sleep disturbances.

There is concern that patients admitted to the intensive care unit (ICU) with Corona Virus Disease 2019 (COVID-19) have variable prevalence reports of mortality. The survival rates are also inconsistently reported due to varying follow-up periods. Even if data on outcomes and baseline characteristics of ICU patients with COVID-19 is essential for action planning to manage complications, it is still left undisclosed in our study setting. This cross-sectional study was conducted on 402 samples using a retrospective chart review of patient's data who were admitted in the past 2 years of the adult ICUs. All the data were entered and analyzed with SPSS version 21. A multivariable Logistic regression analysis was used to identify the association between outcome variables with independent factors and a p-value of less than 0.05 was taken as statistically significant with a 95% confidence interval. We used text, tables, and figures for the result. The overall prevalence of mortality among adult patients admitted to ICU during COVID-19 pandemics was 67.4%. From the multivariable logistic regression analysis, factors that were shown to have an association with an increase in ICU patient mortality were; lack of Vasopressor support, patients who had confirmed COVID 19 infection, core body temperature at admission greater than 37.5 °c, SPO2 at admission less than 90%, patients who had diagnosed ischemic heart disease (IHD), patients with acute respiratory distress syndrome (ARDS), patients who were intubated and mechanically ventilated (MV), and patient's ICU length of stay longer than two weeks. The prevalence of ICU mortality in adult patients was higher in Debre Tabor Comprehensive specialized hospital. Therefore, clinicians need to minimize factors that maximize patient mortalities like ARDS, hyperthermia, Desaturation, Covid infection, IHD, intubation and MV, lack of Vasopressor use, and prolonged ICU stay.

Background: Postoperative depression is one of the devastating problems and important health concerns in adult orthopedics surgical patients. It is often under-diagnosed and appropriate perioperative management of patients is recommended. This study aimed to determine the magnitude and factors associated with postoperative depression among orthopedics patients in Ethiopia.Materials and Methods: This multi-center cross-sectional study was conducted on 443 adult post-orthopedics surgical patients. All the data were entered and analyzed with SPSS version 25. Bivariable and multivariable logistic regression was used to identify the associated factors with the outcome variable. P-values <0.05 were taken as statistically significant with 95% CI. Data were collected after distributing 9-item standard patient health questionnaires and the Oslo-3 item social support scale tool.Result: Based on our study result, the magnitude of postoperative depression among adult orthopedics surgical patients was 61.8% (95% CI: 56.8–65.7). Using multivariable logistic regression analysis, factors which had an association with postoperative depression were female in gender, Farmer in occupation, having a history of previous substance use, history of anxiety, Patients who had moderate to poor social support, BMI <18.5 kg/m², and patients who had an open fracture.Conclusion: The magnitude of postoperative depression was high. Due emphasis needs to be given to screening and treatment of postoperative depression, especially among patients of the female gender, farmer occupation, moderate to poor social support, history of substance use and anxiety, low BMI, and open fracture.

Anesthesia Equipment malfunction is one of the most common factors contributing to intraoperative surgical patient morbidity and mortality. It is impossible to give anesthesia without proper anesthesia machine checks and airway equipment preparation. Therefore, all anesthesia professionals should make sure that the anesthetic machine and equipment are working correctly. An institutional-based prospective observational study was conducted at the University Comprehensive Specialized Hospital, Operation rooms, from April 10, 2020 to May 10, 2020. About 90 anesthetists were working regularly in the operation theater both emergency and elective patients. Those include; 26 Msc holders, 17 MSc students, 7 BSc anesthetists, and 40 graduating BSc students. These descriptive data were presented with frequency, percentage, and table. The overall compliance rate was 87%. Whereas; 12.46% of clinicians have not met the standard. Out of standards that were not performed, 25.81% were not available from the setup. The result shows that there was poor compliance with anesthesia machine check and equipment preparation before anesthesia in the operation theater according.