Misconceptions about COVID-19 and associated factors among residents of Dilla town, southern Ethiopia.

BACKGROUND: Despite the implementation of various COVID-19 prevention and control strategies, the rate of COVID-19 is alarmingly increasing in Ethiopia as well as worldwide. The success of COVID-19 prevention measures is highly influenced by a lack of knowledge and misconceptions. This study aimed to assess misconceptions about COVID-19 and associated factors among residents of Dilla Town, southern Ethiopia. METHODS: A community-based cross-sectional study was conducted from December 1-30, 2020. Data was collected from 415 individuals using structured interviewer-based questionnaires. Logistic regression analyses were used to identify the relationship between the dependent and independent variables. RESULTS: The proportion of respondents who have a high misconception about COVID-19 was 41.1%. Study participants who had poor knowledge were 2.1 (95% CI: 1.1-3.8) times more likely to have a misconception about COVID-19 than their counterparts. Respondents who had access to information from more than two sources were 3.29 (with 95% CI: 1.2-9.2) times less likely to have a misconception about COVID-19 when compared with those who had access to two or fewer information sources. CONCLUSION: A significant proportion of people have misconceptions about COVID-19 in the study area. To resolve these misconceptions, health sectors and stakeholders need to improve the residents' knowledge by delivering COVID-19 related information from credible sources on a routine basis.

Health-Related Quality of Life and Associated Factors Among Covid-19 Survivors. Experience from Ethiopian Treatment Centers.

Background: The pandemic of the novel coronavirus (Covid-19), which is extremely stressful and has an adverse effect on people's health-related quality of life (HRQoL), poses a serious threat to global public health. As a result, this study evaluated the health-related quality of life and associated factors among Covid-19 patients who were discharged from Ethiopian treatment centers. Methods: We conducted a multi-center, cross-sectional study among 493 Covid-19 survivors who had been discharged from treatment centers between 1st January 2020, and 20th October 2021. We collected respondents' data using validated Amharic version EuroQol 5-dimensional-5 levels (EQ-5D-5L) questionnaire along with medical records of the patients. Differences in HRQOL scores between patient subgroups were tested by Mann-Whitney U or Kruskal-Wallis test, and the multivariable betaMix regression was used to investigate factors associated with HRQOL scores. Results: The EQ-5D and VAS median score for Covid-19 survivors was 0.940 (IQR: 0.783-0.966) and 87 (IQR: 70-91) respectively. Overall, married individuals, old-aged, individuals who had low educational status, high monthly income, comorbidities, admitted to the Intensive care Unit, received intranasal oxygen care, and prolonged hospitalization had lower utility scores and EQ-VAS scores compared to their counterparts. In multivariate betaMix regression, respondents' health status at admission, old age, chronic obstructive pulmonary disease, asthma, and hospital length of stay were significantly associated with the lower EQ-5D-Index value and EQ-VAS score. Conclusion: We found that Covid-19 infection had a persisting impact on the physical and psychosocial health of Covid-19 survivors. Age, having asthma and chronic obstructive pulmonary disease, having a worsening health state upon admission, and a prolonged hospital length of stay were significantly associated with the lower EQ-5D and EQ-VAS score. Therefore, the cost-effective psychological treatment such as cognitive behaviour therapy should be encouraged after hospitalization to improve the post-Covid-19 depression and fatigue.

Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study.

BACKGROUND: COVID-19 is a global public health problem causing high mortality worldwide. This study aimed to assess time to death and predictors of mortality among patients hospitalized for COVID-19 in the Arsi zone treatment center. METHOD: We performed a retrospective observational cohort study using medical records of laboratory-confirmed COVID-19 cases hospitalized at Bokoji Hospital COVID-19 treatment center from 1st July 2020 to 5th March 2021. We extracted data on the patients' sociodemographic and clinical characteristics from medical records of hospitalized patients retrospectively. We carried out Kaplan Meier and Cox regression analysis to estimate survival probability and investigate predictors of COVID-19 death 5% level of significance. The Adjusted Hazard Ratio (aHR) with 95% Confidence Interval (CI) was estimated and interpreted for predictors of time to death in the final cox model. RESULT: A total of 422 COVID-19 patients treated were analyzed, of these more than one tenth (11.14%) deaths, with a mortality rate of 6.35 cases per 1000 person-days. The majority (87.2%) of deaths occurred within the first 14 days of admission, with a median time-to-death of nine (IQR: 8-12) days. We found patients that age between 31 and 45 years (aHR = 2.55; 95% CI: (1.03, 6.34), older than 46 years (aHR = 2.59 (1.27, 5.30), chronic obstructive pulmonary disease (aHR = 4.60, 95%CI: (2.37, 8.91), Chronic kidney disease (aHR = 5.58, 95%CI: (1.70, 18.37), HIV/AIDS (aHR = 3.66, 95%CI: (1.20, 11.10), admission to the Intensive care unit(aHR = 7.44, 95%CI: (1.82, 30.42), and being on intranasal oxygen care (aHR = 6.27, 95%CI: (2.75, 4.30) were independent risk factors increasing risk of death from COVID-19 disease than their counterparts. CONCLUSION: The risk of dying due to COVID-19 disease was higher among patients with HIV/AIDS, chronic obstructive pulmonary disease, and chronic kidney diseases. We also found that older people, those admitted to ICU, and patients who received intranasal oxygen care had a higher risk of dying due to COVID-19 disease. Therefore, close monitoring hospitalized patients that are old aged and those with comorbidities after hospitalization is crucial within the first ten days of admission.

Factors Associated with Poor Treatment Outcome among Hospitalized COVID-19 Patients in South Central, Ethiopia.

BACKGROUND: Deaths due to COVID-19 are common among the elderly, especially among individuals with underlying illnesses. The pandemic of the COVID-19 impaired the mental, psychological, and physical well-being of people admitted to hospitals. Furthermore, in underdeveloped countries, scarcity of medical equipment was a challenge to manage cases in public health facilities. Thus, understanding the epidemiology and clinical outcomes of COVID-19 patients who are receiving treatment is critical for developing effective treatments and assessing service quality. Therefore, this study is aimed at assessing the treatment outcomes and associated factors among patients affected by the COVID-19 virus. METHOD: We used an institutional-based retrospective cross-sectional analysis of 398 patients discharged in South Central, Ethiopia, between June 1, 2020, and July 5, 2021. Data were extracted using the data abstraction format. Data were entered, coded, and analyzed using the STATA 16 software. Bivariate and multivariate logistic regression analysis was used to assess the factors associated with poor treatment outcomes. A 95% confidence interval with adjusted odds ratio (AOR) and p value less than 0.05 were considered statistically significant. RESULT: In our study, the proportion of poor treatment outcomes was 61 (15.3%). Chronic pulmonary disease (AOR = 5.62; 95% CI: 2.49-12.70), asthma (AOR = 2.8; 95% CI: 1.17-6.67), chronic kidney disease (AOR = 4.81; 95% CI: 1.27-18.22),diabetic mellitus (AOR = 2.27; 95% CI: 1.02-5.09), HIV positive (AOR = 10.44; 95% CI: 3.0-36.35), worsening conditions (AOR = 3.73, 95% CI: 1.17-11.95), and age 55 and above years (AOR = 4.35, 95% CI: 1.30-14.60) were statistically associated with poor treatment outcomes. CONCLUSION: We found a significant number of patients had favourable treatment. Moreover, aging, having complicated situations at admission, and chronic illnesses such as COPD, CKD, asthma, diabetic mellitus, and HIV/AIDS participants were significantly associated with poor treatment outcomes. Therefore, critical follow-up and management of patients with underlying diseases and worsening health conditions during admission is required.

Time to recovery from Covid-19 and its associated factors among patients hospitalized to the treatment center in South Central Ethiopia.

Coronavirus outbreak was a public health emergency. The surge of new confirmed cases and deaths was observed in developing countries due to the occurrence of new variants. However, factors associated with the duration of recovery among admitted patients remained uncertain. Therefore, we assessed factors associated with time to recovery from Covid-19 among hospitalized patients at the treatment center in South Central, Ethiopia. We employed a retrospective cross-sectional study among 422 patients hospitalized at Bokoji Hospital treatment center with Covid-19 from July 1, 2020, through October 30, 2021. Data were entered, coded, and analyzed using SPSS 26 version. We computed the survival probability using the Kaplan Meier method and determined factors associated with time to recovery using Cox regression analysis. Finally, the interpretation of adjusted hazard ratio (AHR) with 95% Confidence Interval (CI) and P-values less than 0.05 were declared as statistically significant. Our study found that the median time to recovery from Covid-19 infection of 13 days, with an IQR of 9-17 days. In multivariate Cox regression, ≥ 60 years old (AHR = 0.66; 95% CI: 0.49, 0.895), chronic pulmonary disease (AHR = 0.67; 95% CI: 0.455, 0.978), Male (AHR = 0.77; 95% CI: 0.611, 0.979), and being on Intranasal oxygen care (AHR = 0.56; 95% CI: 0.427-0.717) were significantly associated with time to recovery. Thus, health providers in treatment centers should give strict follow-up and priority for elders, patients with underlying diseases, and under supportive treatment during case management.

Assessment of practice of Covid-19 preventive measures and associated factors among residents in Southern, Ethiopia.

INTRODUCTION: Coronavirus (Covid-19) is a respiratory disease mostly affecting old aged and those with comorbidities. Due to resource constraints in developing countries, control of Covid-19 was based on preventive measures. However, there is variation in adherence to these precautionary measures from place to place among communities. Therefore, this study assessed the practice of Covid-19 preventive measures and associated factors among residents of Southern, Ethiopia. METHODS: A community-based cross-sectional study was employed on residents of Southern, Ethiopia. Interviewer administered questionnaire was used to collect data from households through systematic random sampling methods. Data was entered, coded, and analyzed using STATA version 16. Logistic regression analysis was used to explore the association between outcome variables and predictor variables. Finally, the interpretation of Adjusted Odds ratio (AOR) with 95% Confidence Interval (CI) and p-value was done for statistically significant factors of Covid-19 preventive measures practice. RESULTS: The proportion of residents who had good practice of Covid-19 preventive measures was 31.3% (95% CI: 26.5, 36.1). Out of 364 residents, 264 (72.5%) used facemasks, 218 (59.9%) washed their hands frequently, 167 (45.9%) practiced social distancing, 135 (37.1%) stayed at home, 75 (18.1%) avoided handshaking and 228 (62.6%) used hand sanitizer. Following government directions (AOR = 225; 95% CI: 68.6, 738), good knowledge about Covid-19 (AOR = 3.47; 95% CI: 1.12, 10.73), having access to water supply (AOR = 2.92; 95% CI: 1.05, 8.18), belief towards protectiveness of preventive measure (AOR = 3.53; 95% CI: 1.08, 11.61) and chronic illness (AOR = 5.09; 95% CI: 1.44, 17.96) were significantly associated with practice of Covid-19 preventive measures. CONCLUSION: In this study, the proportion of residents practicing Covid-19 preventive measures was low. Having comorbidity, following government directions, knowledge about Covid-19 and access to water supply were significantly associated with Covid-19 preventive measures practice. Therefore, government and all concerned stakeholders should increase the accessibility of infrastructure and provide continuous awareness creation campaigns regarding Covid-19 mode of transmission, sign and symptom, and protectiveness of Covid-19 preventive measures. Moreover, dissemination of teaching aids using local languages and close monitoring of community compliance to Covid-19 preventive measures is crucial.