RESUMO
BACKGROUND: Many healthcare professionals are dying of COVID-19 while trying to save others. The loss in the healthcare workforce due to sickness and absence will double the risk of a crisis. Identifying barriers of willingness to work during epidemics outbreak and preparedness of healthcare professionals is important to minimize the shortage of human power. METHODS: Facility-based cross-sectional study was conducted among healthcare professionals working in the selected hospitals of Southwest Ethiopia from June 1-30/2020. The data entry was done by Epi-Data Manager version 4.4.1.0 and exported to SPSS version 23 for analysis. Multivariable logistic regression analysis with a backward stepwise approach was done to identify independent predictors of poor preparedness and willingness of the healthcare professionals to work during COVID-19 and Variables with P-value <0.05 were considered as a statistically significant determinant. RESULTS: Of 407 healthcare professionals who participated in the study, 246 (60.4%) were male. The mean age of the respondents was 28.47±5.60 years. Forty-seven (11.55%) Physicians, 59 (14.50%) pharmacy personnel, 52 (12.78%) Laboratory personnel, 31 (7.62%) Midwives, and 195 (47.91%) Nurses were included in the study. The healthcare professionals who were not prepared for the provision of services during COVID-19 and not willing to work during COVID-19 were 165 (40.5%) and 86 (21.1%) respectively. Having 6 to10 years' experience (AOR=4.046, CI: 1.05-15.58), and divorced marital status (AOR=7.855, CI: 1.781-34.65) were independent predictors of not willing to work during COVID-19. Similarly, lack of personal protective equipment (AOR=28.089, CI: 13.9-56.67) and shortage of infrastructure at the work place (AOR=28.1, CI: 13.9-56.67) were independent predictors of poor preparedness. CONCLUSION AND RECOMMENDATIONS: Healthcare professionals' willingness and preparedness to work during COVID-19 was low. Use of Telemedicine, provision of personal protective equipment, increasing hospital's safety with adequate infection control policy, and assigning staff who have experience of more than ten years in the risky wards of the hospitals may decrease staffs absentee and increase in the provision of continuous service.
RESUMO
BACKGROUND: Hepatitis B virus(HBV) infection is a global public health problem, even though its prevalence is disproportionately high in low- and middle-income countries. Mother-to-child transmission is a major route of HBV transmission in endemic areas. This study aimed to assess the prevalence of HBV and its determinants among pregnant women attending antenatal care at Mizan-Tepi University Teaching Hospital and Mizan Health Center, Southwest Ethiopia. METHODS: A cross-sectional study was conducted between January 13th 2020 and February 5th 2020 among 370 pregnant women. The sample size was proportionally allocated to each health institution according to the total pregnant women on antenatal care at the respective health institution and a consecutive sampling technique was used to select study participants. Serum hepatitis B surface antigen (HBsAg) was tested using a rapid diagnostic test. Data were analyzed using Statistical Package for Social Sciences (SPSS) software version 22. Multiple logistic regression analysis was done to identify the independent predictors of HBsAg serostatus at p-value <0.05. RESULTS: Three hundred seventy of the total 375 pregnant women participated in the study resulting in a response rate of 98.7%. Twenty-two (5.9%) of the pregnant women screened were found positive for HBsAg (prevalence=5.9%; 95% CI: 3.9-8.80%). History of contact with jaundice patients (AOR=9.87; 95% CI: 2.98-32.65), sharing sharp materials (AOR=3.96; 95% CI: 1.23-11.08) and history of multiple sexual partners (AOR=6.77; 95% CI: 2.44-18.78) were significantly associated with Hepatitis B Virus infection. CONCLUSION: The endemicity of hepatitis B virus seroprevalence is intermediate in the study settings. Factors associated with hepatitis B virus serostatus were behavioral; hence, modification of these factors may help to prevent the infection.
RESUMO
BACKGROUND: Stroke is a public health problem in Ethiopia. Despite the high prevalence of stroke in Ethiopia, there is a paucity of data with regard to drug treatment, treatment outcome, and risk factors of poor treatment outcome of stroke. Hence, this study is aimed at assessing treatment outcome and its determinants among patients admitted to stroke unit of Jimma University Medical Center (JUMC). METHODS: A two-year hospital-based retrospective cross-sectional study was employed to analyze the medical records of patients admitted with stroke to stroke unit of Jimma University Medical Centre from February 1st, 2016 to March 30th, 2018. Data was entered by Epidata manager version 4.0.2 and analyzed by SPSS version 24. Multivariable logistic regression analysis with the backward stepwise approach was done to identify independent predictors of poor treatment outcome of stroke. Variables with P value less than 0.05 were considered as statically significant determinants of poor treatment outcome. RESULTS: Of 220 patients with stroke admitted to the Jimma University, 67.30% were male. Nearly two thirds (63.18%) of them had poor treatment outcomes. Dyslipidimics were administered to 60% of the patients, and the most popular antiplatelet used was aspirin, which was prescribed to 67.3% the patients. Age ≥ 65 adjusted odd ratio ((AOR): 2.56; 95% CI: 1.95-9.86, P = 0.001), presence of comorbidity (AOR: 5.25; 95% CI: 1.08-17.69, P < 0.001), admission with hemorrhagic stroke (AOR: 18.99; 95% CI: 7.05-42.07, P < 0.001), and admission to the hospital after 24 hour of stroke onset (AOR: 4.98; 95% CI: 1.09-21.91, P = 0.03) were independent predictors of poor treatment outcomes. CONCLUSION: Substantial numbers of stroke patients had poor treatment outcomes. Elderly patients, patients diagnosed with hemorrhagic stroke, patients with comorbidity, and those with delayed hospital admission were more likely to have poor treatment outcome. Hence, frequent monitoring and care should be given for the aforementioned patients. Awareness creation on the importance of early admission should be delivered particularly for patients who have risk factors of stroke (cardiovascular diseases).
