Objective This study aimed to assess the prevalence and associated factors of post-traumatic stress disorder among health professionals working in South Gondar Zone hospitals in the era of the COVID-19 pandemic, Amhara Ethiopia 2020. Methods Institutional based cross-sectional study design was conducted. A total of 396 respondents completed the questionnaire and were included in the analysis. A previously adapted self-administered pretested standard questionnaire, Impact of Event Scale-Revised (IES-R-22) was used to measure post-traumatic stress disorder. Data was entered into Epi data version 4.4.2 then exported to SPSS version 24 for analysis. Descriptive and analytical statistical procedures, bivariate, and multivariate binary logistic regressions with odds ratios and 95% confidence interval were employed. The level of significance of association was determined at a p-value < 0.05. Results The prevalence of post-traumatic stress disorder among health care providers in this study was 55.1% (95% CI: 50.3, 59.6). Lack of standardized PPE supply (AOR = 2.5 7,95CI;1.37,4.85), respondents age > 40 years (AOR = 3.95, 95CI; 1.74, 8.98), having medical illness (AOR = 4.65, 95CI;1.65,13.12), perceived stigma (AOR = 1.97, 95CI;1.01, 3.85), history of mental illness(AOR = 8.08,95IC;2.18,29.98) and having poor social support (AOR = 4.41,95CI;2.65,7.3) were significantly associated with post-traumatic stress disorder at p-value < 0.05. Conversely, being a physician (AOR = 0.15, 95CI; 0.04, 0.56) was less affected by PTSD. Conclusions The prevalence of post-traumatic stress disorder among health care providers in this study was high. Adequate and standardized PPE supply, giving especial emphasis to those care providers with medical illness, history of mental illness, and having poor social support, creating awareness in the community to avoid the stigma faced by health care providers who treat COVID patients is recommended.

ObjectivesTo assess the prevalence of post-traumatic stress disorder (PTSD) and associated factors among the survivors of Koshe landslide, Addis Ababa, Ethiopia, 2018.DesignCommunity-based cross-sectional design.SettingKoshe landslide, Addis Ababa, Ethiopia.ParticipantsWe recruited 830 participants for interviews using the simple random sampling technique.MeasurementWe collected data by face-to-face interviews. The civilian version of the PTSD checklist was used to measure the symptoms of the disorder. The Perceived Stress Scale and the Oslo-3 social support instruments were used to assess the factors. Coded variables were entered into Epi data V.4.2 and exported to SPSS V.24 for analysis. Bivariate and multivariate logistic regressions with OR and 95% CI were employed.ResultA total of 830 participants were interviewed, with a response rate of 98.2%. The prevalence of PTSD was 37.3% with 95% CI 34.1 to 40.8. In the multivariate logistic regression, female sex (adjusted odds ratio (AOR)=1.74, 95% CI 1.21 to 2.50), divorce (AOR=2.08, 95% CI 1.26 to 3.43), sustained physical injury (AOR=8.28, 95% CI 5.04 to 13.61), history of mental illness (AOR=5.55, 95% CI 2.30 to 13.36), family history of mental illness (AOR=2.82, 95% CI 1.48 to 5.37), poor social support (AOR=3.64, 95% CI 1.99 to 6.69) and high perceived stress (AOR=3.08, 95% CI 1.43 to 6.64) were associated with PTSD.Conclusion and recommendationsThe prevalence of PTSD among the survivors of Koshe landslide was high. We recommend that an early PTSD-focused regular screening be carried out by trained health professionals; linkage with mental health service providers also needs to be considered.

ObjectiveThe current study was conducted to assess the prevalence and associated factors of shift work sleep disorder among nurses working at Ethiopian federal government hospitals in Addis Ababa.MethodsAn institutional-based, cross-sectional study was conducted from April to June 2018 using self-administered structured questionnaires. Computer-generated simple random sampling technique was used to select a total of 422 nurses as study participants. The International Classification of Sleep Disorders - Third Edition, Bargen Insomnia Scale and/or Epworth Sleepiness Scale were used to measure the outcome shift work sleep disorder. Descriptive statistics and bivariate and multivariate binary logistic regression were used. OR with 95% CI was used to measure the strength of association, and a p value <0.05 was considered statistically significant in multivariate analysis.ResultsAbout a quarter (25.6%) of the study participants have shift work sleep disorder. The average number of nights per month for the last 1 year (adjusted OR=6.3, 95% CI 3.513 to 12.35) and working in three-shift rotation (adjusted OR=3.1, 95% CI 1.68 to 5.83) were significantly associated with shift work sleep disorder.ConclusionA quarter of shift worker nurses are suffering from shift work sleep disorder. The number of nights on average per month for the last 1 year and working in three-shift rotation were significantly associated with shift work sleep disorder. Shift working conditions should be improved to provide less stressful conditions for nurses, ensuring at the same time an appropriate quality of care over a 24-hour period. More studies are necessary to better highlight the burden of shift work on the health and well-being of both nurses and patients.

BackgroundAnemia in pregnancy is a major public health concern worldwide, especially in developing countries. Thus, there is a need of having current information and local data on the prevalence of anemia and associated factors during pregnancy to help inform preventive programmes. The aim of this study was to assess the prevalence of anemia and associated factors among pregnant women attending antenatal care at Debre Markos Referral Hospital, Northwest Ethiopia.MethodsAn institution based cross-sectional study was conducted at Debre Markos Referral Hospital in July and August 2016. A total of 234 randomly-selected pregnant women took part in the study. Data on sociodemographic factors, environmental and sanitation factors, reproductive factors, and nutrition related characteristics were collected using a structured questionnaire. Hemoglobin level was determined using hematological analyzer (Cell Dyn 1800) machine. The stool sample was collected to identify intestinal parasitic infections. Statistical analysis was done using logistic regression. The p value of less than 0.05 at 95% confidence interval was considered statistically significant.ResultsThe overall prevalence of anemia among pregnant women was 11.5% (95% CI: 8.2%– 14.9%). The result of multivariable analysis revealed that, coffee consumption [AOR = 2.91; 95% CI (1.63, 8.78)], and hookworm infection [AOR = 2.65; 95% CI (1.48, 4.72)] were factors significantly associated with anemia among pregnant women.ConclusionAnemia is of public health concern among pregnant women in the study area. All pregnant women coming to antenatal clinics should be screened and treated routinely for intestinal parasitic infection. Pregnant women should limit coffee consumption, and avoid drinking coffee with meals.

No abstract