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Unplanned postoperative critical care admission poses a potential risk to patients and places unanticipated pressure on clinical services and it has become an important parameter to assess patient safety in perioperative services. This study was aimed to determine the incidence of unplanned intensive care unit admission following surgery and the associated factors. A multi-center cross-sectional study was conducted on postoperative patients admitted to the ICU of three hospitals located in the Amhara region. Data were collected via a structured survey tool and analyzed using SPSS version 23 software with binary logistic regression analysis. The statistical significance to identify patient, anesthetic and surgical related factors in the preoperative, intraoperative, and postoperative period was < 0.05 for multivariable regression with a 95% confidence interval. Predominantly patients were admitted to the ICU in an unplanned manner. ASA status, preoperative hemoglobin (Hgb) level, intraoperative estimated blood loss, and adverse events occurring in the operating room were significantly associated with intensive care unit admission following surgery. Patients who had a low preoperative Hgb value were 35.1 times more likely to be admitted to the intensive care unit in an unplanned manner compared with their counterparts [(Adjust odds ratio (AOR) 35.16; CI 12.82, 96.44)]. Patients with ASA II and III were 19.4 and 16.2 times more likely to be admitted to ICU in an unplanned way compared to patients who had ASA I physical status [(AOR 51.79; CI 8.28, 323.94) (AOR 67.8 CI 14.68, 313.53)]. Unplanned ICU admission after surgery was high in this study, suggesting poor perioperative planning, risk stratification, and optimization of patients.

Background: Coronavirus disease is still a global public health emergency. Due to an inadequate healthcare system in low-income nations like Ethiopia, the pandemic has had a devastating impact. Despite this, information on the severity of COVID-19 and related difficulties in Ethiopia is sparse. Therefore, we aimed to determine the survival time to severity and predictors of COVID-19 in Northwest Ethiopia. Methods: A prospective follow-up study was conducted among 202 adult COVID-19 patients in the South Gondar zone treatment centers. Data were entered using EpiData version 3.1 and then exported to Stata 16 for analysis. Kaplan-Meier was used to estimate mean survival time, and Log rank tests were used to compare survival time between explanatory variable groups. A cox-proportional hazards regression model with a 95% confidence interval and a p-value of 0.05 was used to identify covariates associated with the outcome variable. Results: The patients' average age was 41.2 years. With an IQR of 4-7 days, the median time to COVID-19 severity was 5 days. The overall COVID-19 severity rate was 6.35 (95% CI: 5.17-7.86) per 100 person-days observed. Senior adult age group (51-59 years)

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Background: For the prevention of respiratory infection similar to the current pandemic COVID-19, face masks are considered an effective method. Coronavirus disease (COVID-19) is a highly transmittable virus that continues to disrupt livelihoods, particularly those of low-income segments of society, around the world has poor knowledge towards facemask at the same time has huge gape towards attitude which affects the behaviors. Therefore this study was aimed to assess knowledge, attitude, and practice towards facemask use amid the COVID-19 pandemic among public transport drivers in Debre-Tabor town, Ethiopia, 2021. Methods: A cross-sectional study was conducted among 407 public transport drivers in Debre-Tabor town from July to August 2021. The study participants were selected using a simple random sampling technique after proportionally allocating the sample size from the total number of public transport drivers, and finally, study subjects were elected continuously working in Debre- Tabor Town public transport drivers. The data were collected by trained data collectors using a structured questionnaire with face-to-face interview administered questioners and an on-the-spot observational checklist. The collected data were checked, coded, and entered into SPSS version 23, and for data cleaning and analysis. Result: A total of 407 drivers responded to the questionnaire with a response rate of 96.4% were participated in this study. The mean age was 32.75 years (range: 19-45 years). Among them majority was male 383(94.1%) and the majority of 177(43.5%) were Bajaj drives. Among the responders, 114(28%) used radio to gather information, and 41(10.1%) drivers where were caught by COVID-19, but, only 30(7.4%) were vaccinated COVID-19 vaccine. Knowledge, attitude and practices regarding facemask use among these drivers were 368(90.4% [95% CI: 87.7-93.1]). 163(40% [95% CI: 37.5% - 43.2%]), and 23 ((5.6%) [95% CI: 3.7% - 8.3%]) Regarding facemask use against COVID-19 infection respectively. Conclusion and recommendation: The current study was able to demonstrate 90.4% of drivers had good knowledge. Positive attitude and practice levels of face mask use among drivers were less than half of them or 40%, and 5.6% respectively. There is a high supply of Surgical Face masks but poor attitude and practice. Almost all of the participants don’t wear a face mask despite having good knowledge about the transmission routes of COVID-19. The government COVID-19 prevention task force or health sector should be continued their awareness creation to bring behavioral change for the implementation of the COVID-19 prevention method, especially facemask.