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Worldwide, including in Ethiopia, there is an increased risk of coronavirus disease 2019 (COVID-19) disease severity and mortality. This study aimed to assess the survival status and predictors of mortality among COVID-19 patients admitted to the intensive care unit. Methods: This study included 508 COVID-19 patients retrospectively who were under follow-up. The work has been reported in line with the STROCSS (strengthening the reporting of cohort, cross-sectional and case-control studies in surgery) criteria. The data were collected through a systematic sampling from patients' charts. Kaplan-Meier survival curves and logrank test, and Cox's regression analyses were conducted to check the difference among categories of covariates and to identify predictors of mortality, respectively. Results: All patient charts were reviewed and the information was recorded. The average age (mean+SD) of these patients was 62.1+13.6 years. Among study participants, 422 deaths occurred and the mortality rate was 64.1 per 1000 person-days. The median survival time was 13 days [interquartile range (IQR): 10-18]. The significant predictors for this survival were: Age>45 years [adjusted hazard ratio (AHR)=4.34, 95% CI: 2.46-7.86], Diabetes mellitus (AHR=1.37, 95% CI: 1.05-1.77), Hypertension (AHR=1.39, 95% CI: 1.09-1.79), Renal disease (AHR=1.86, 95% CI: 1.01-3.43), Hypotension (AHR=1.71, 95% CI: 1.28-2.27), Electrolyte treatment (AHR=0.78, 95% CI: 0.63-0.97). Conclusion: The median survival of COVID-19 patients after their admission was 13 days, and predictors for this time were advanced age, preexisting comorbidities (like diabetes mellitus, hypertension, and renal disease), hypotension, and electrolyte therapy.
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Introduction: In the healthcare system, nurse managers' participation in decision-making was invaluable in preserving cost-effective service and safe patient care. Despite the fact that nurse managers have the power to ensure optimal health care service, their involvement in decision-making has not been well studied. Objectives: To assess nurse managers' decision-making involvement and associated factors working in selected governmental hospitals in Addis Ababa, Ethiopia 2021. Methods: A cross-sectional study was conducted among 176 nurse managers from government hospitals in Addis Ababa, with a response rate of 168 (95.5%). The total sample size is assigned in proportion. The technique of systematic random sampling was used. A structured, self-administered questionnaire was used to collect data, which was then checked, cleaned, entered into EPI Info version 7.2, and exported to SPSS software version 25 for analysis. In a binary logistic regression model analysis, a p-value < .25 was used as the cut-off point to consider variables as candidates for multivariable analysis. A p-value of .05 was used to determine the predictor variables with a 95% confidence interval. Result: The mean age and standard deviation of the 168 respondents were 34.9 ± 4.1 years. More than half, 97 (57.7%), were excluded from general decision-making. Nurse managers in matron positions were 10 times more likely to participate in decision-making than head nurses (AOR = 10.00, 95% CI: 1.14-87.72, p = .038). Nurse managers who received managerial support were five times more likely to participate in good decision-making than nurse managers who did not receive managerial support (AOR = 5.29, 95% CI: 1.208-23.158, p = .027). Nurse managers who received feedback on their decision-making involvement had 7.7 times more good decision-making involvement than those who did not (AOR = 7.70, 95% CI: 2.482-23.911, p = .000). Conclusion: According to the findings of the study, the majority of nurse managers were not involved in decision-making.
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BACKGROUND: Patients with cancer frequently reported sleep problems during their treatments which can affect their sleep quality have an impact on patients' quality of life (QOL). OBJECTIVE: to assess the prevalence of sleep quality and associated factors in adult cancer patients on treatment in the Oncology unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, 2021. METHODS: institutional-based cross-sectional study design was used and data was collected by using face-to-face structured interview questionnaires from March 1 to April 1, 2021. Sleep Quality Index (PSQI) consisted of 19 items, the social support scale (OSS-3) consisted of 3 items, and the Hospital Anxiety and Depression Scale (HADS) consisted of 14 items were applied. Logistic regression including bivariate and multivariate analysis was done to examine the association between dependent and independent variables, and P< 0.05 was considered the level of significance for associations. RESULTS: A total of 264 sampled adult cancer patients on treatments were included in this study, with a response rate of 93.61%. About 26.5% of the participants' age distribution was between 40 to 49 years, and 68.6% were female. 59.8% of the study participants were married. Concerning education, about 48.9% of participants attended primary and secondary school and 45% of participants were unemployed. Overall, 53.79% of individuals had poor sleep quality. Low income ((AOR=5.36 CI 95% (2.23, 12.90), fatigue (AOR=2.89 CI 95(1.32, 6.33), pain (AOR 3.82 C I95 % (1.84, 7.93), poor of social support (AOR =3.20 CI 95% (1.43, 6.74), anxiety (AOR=3.48 CI 95% (1.44, 8.38) and depression (AOR 2.87 CI 95 % (1.05-7.391) were all associated with poor sleep quality. CONCLUSION: This study revealed a high prevalence of poor sleep quality, which was significantly associated with factors like low income, fatigue, pain, poor social support, anxiety, and depression among cancer patients on treatments.
Subject(s)
Neoplasms , Quality of Life , Adult , Humans , Female , Middle Aged , Male , Ethiopia/epidemiology , Cross-Sectional Studies , Sleep Quality , Neoplasms/therapy , Hospitals , PainABSTRACT
PURPOSE: This study investigated the vulnerability to human immunodeficiency virus (HIV) infection and associated factors among married women in northwest Ethiopia. METHODS: A community-based cross-sectional survey (n=657) was conducted from April 1 to 15,2020, in Metema District, northwest Ethiopia, in four randomly selected kebele administrations (thelowest level of local government). The inclusion criteria were married women aged ≥18 years residing with their husbands. Logistic regression analysis was conducted to identify factors associatedwith married women's vulnerability to HIV infection. RESULTS: Participants were on average 33.70±9.50 years and nearly one-fourth (n=148, 22.5%) wereidentified as vulnerable to HIV infection (i.e., experienced sexually transmitted disease symptoms oran extramarital affair of either spouse within the past 12 months). Only 18.9% reported sexual communication with their husband. Respondents who did not discuss the risk of HIV infection withtheir husbands had fivefold odds of vulnerability (adjusted odds ratio [AOR], 5.02; 95% confidenceinterval [CI], 1.43-17.5). Those who did not have premarital sex (AOR, 0.20; 95% CI, 0.05-0.77)had no worries about HIV infection (AOR, 0.27; 95% CI, 0.08-0.94), sufficient income (AOR,0.56; 95% CI, 0.16-0.86), and less than four children (AOR, 0.69; 95% CI, 0.50-0.97) had decreased odds of being vulnerable to HIV than their counterparts. CONCLUSION: Not discussing risk of HIV infection with husband was a major factor of vulnerabilityto HIV infection as was premarital sex, worry about HIV, income, and number of children. Measuresto strengthen couple's sexual communication and support economical stability is important for decreasing HIV vulnerability.
