Assessment of hospitalisation costs and their determinants among Covid-19 patients in South Central Ethiopia.

BACKGROUND: The coronavirus disease 2019 (Covid-19) pandemic is a global public health problem. The Covid-19 pandemic has had a substantial impact on the economy of developing countries, including Ethiopia.This study aimed to determine the hospitalisation costs of Covid-19 and the factors associated with the high cost of hospitalisation in South Central Ethiopia. METHODS: A retrospective cost analysis of Covid-19 patients hospitalised between July 2020 and July 2021 at Bokoji Hospital Covid-19 Treatment Centre was conducted using both the micro-costing and top-down approaches from the health system perspective. This analysis used cost data obtained from administrative reports, the financial reports of the treatment centre, procurement invoices and the Covid-19 standard treatment guidelines. The Student's t-test, Mann-Whitney U test or Kruskal-Wallis test was employed to test the difference between sociodemographic and clinical factors when appropriate.To identify the determinants of cost drivers in the study population, a generalised linear model with gamma distribution and log link with a stepwise algorithm were used. RESULTS: A total of 692 Covid-19 patients were included in the costing analysis. In this study, the mean cost of Covid-19-infected patients with no symptoms was US$1,073.86, with mild symptoms US$1,100.74, with moderate symptoms US$1,394.74 and in severe-critically ill condition US$1,708.05.The overall mean cost was US$1,382.50(95% CI: 1,360.60-1,404.40) per treated episode.The highest mean cost was observed for personnel, accounting for 64.0% of the overall cost. Older age, pre-existing diseases, advanced disease severity at admission, admission to the intensive care unit, prolonged stay on treatment and intranasal oxygen support were strongly associated with higher costs. CONCLUSIONS: This study found that the clinical management of Covid-19 patients incurred significant expenses to the health system. Factors such as older age, disease severity, presence of comorbidities, use of inhalation oxygen therapy and prolonged hospital stay were associated with higher hospitalisation costs.Therefore, the government should give priority to the elderly and those with comorbidities in the provision of vaccination to reduce the financial burden on health facilities and health systems in terms of resource utilisation.

Food taboo practices and associated factors among pregnant women in Ethiopia: a systematic review and meta-analysis.

Food taboos have a negative impact on pregnant women and their fetuses by preventing them from consuming vital foods. Previous research found that pregnant women avoided certain foods during their pregnancy for a variety of reasons. This review aimed to determine the pooled prevalence of food taboo practices and associated factors in Ethiopia. In compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, we searched the literature using PubMed/MEDLINE, AJOL (African Journal Online), HINARI, Science Direct, Google Scholar, and Google electronic databases. The random-effects model was used to estimate the pooled prevalence of food taboo and its determinants at a 95% confidence interval with their respective odds ratios. The pooled food taboo practice among Ethiopian pregnant women was 34.22% (95% CI 25.47-42.96), and after adjustment for publication bias with the trim-and-fill analysis, the pooled food taboo practice of pregnant women was changed to 21.31% (95% CI: 10.85-31.67%). Having less than a secondary education level (OR = 3.57; 95% CI 1.43-8.89), having no ANC follow-up (OR = 4.35; 95% CI 1.12-16.94), and being a rural resident (OR = 3.08; 95% CI 1.14-8.28) were the significant factors. Dairy products, some fruits, green leafy vegetables, meat, and honey are among the taboo foods. The most frequently stated reasons for this taboo practice were: fear of producing a big fetus, which is difficult during delivery; attachment to the fetus's body or head; and fear of fetal abnormality.

Prevalence of wasting and associated factors among children aged 2-5 years, southern Ethiopia: a community-based cross-sectional study.

BACKGROUND: Wasting (acute malnutrition) is the most serious form of malnutrition for children in the near term. Malnutrition has a variety of causes, all of which are interconnected and hierarchically related. The purpose of this study was to assess the prevalence of wasting and its associated determinants among children under the age of five in the Wonago district, Gedeo zone, southern Ethiopia. METHODS: Community based cross-sectional study was conducted from October 1 to 30, 2021 using a systematic random sampling technique. Data were entered using Epidata manager and STATA v.20 software was used for analysis. Descriptive statistics were reported to describe the study population. To identify associated factors of wasting, bivariate and multivariate logistic regression analysis were fitted. Variables having p-value < 0.05 were declared statistically significant predictors of wasting. RESULTS: A total of 390 respondents participated with a response rate of 92.6%. The prevalence of wasting among children aged 2-5 years in Wonago district was 36.4% (95% CI: 31.76-41.32). Moderate household food insecurity (AOR = 0.35, 95%CI: 0.14-0.83), history of recurrent illness (AOR = 0.15, 95%CI: 0.26-0.84), and duration of breastfeeding greater than 2 years (AOR = 0.15, 95%CI: 0.26-0.84) were significantly associated with wasting. CONCLUSION: Almost one-third of the children were wasted. Household food insecurity, breastfeeding, and recurrent illness were significantly associated with wasting among children aged 24-59 months. It is recommended that interventions be designed with food security, disease prevention, and breastfeeding awareness in mind and put the spotlight on food and nutrition policy to insure children's nutritional status.

Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis.

INTRODUCTION: Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among children under the age of five, yet the problem is unevenly distributed across the country. Thus, we investigate spatial heterogeneity and explore spatial projection of stunting among under-five children. Further, spatial predictors of stunting were assessed using geospatial regression models. METHODS: The Ethiopia Demographic and Health Surveys (EDHS) data from 2011, 2016, and 2019 were examined using a geostatistical technique that took into account spatial autocorrelation. Ordinary kriging was used to interpolate stunting data, and Kulldorff spatial scan statistics were used to identify spatial clusters with high and low stunting prevalence. In spatial regression modeling, the ordinary least square (OLS) model was employed to investigate spatial predictors of stunting and to examine local spatial variations geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models were employed. RESULTS: Overall, stunting prevalence was decreased from 44.42% [95%, CI: 0.425-0.444] in 2011 to 36.77% [95%, CI: 0.349-0.375] in 2019. Across three waves of EDHS, clusters with a high prevalence of stunting in children under 5 years were consistently observed in northern Ethiopia stretching in Tigray, Amhara, Afar, and Benishangul-Gumuz. Another area of very high stunting incidence was observed in the Southern parts of Ethiopia and the Somali region of Ethiopia. Our spatial regression analysis revealed that the observed geographical variation of under-five stunting significantly correlated with poor sanitation, poor wealth index, inadequate diet, residency, and mothers' education. CONCLUSIONS: In Ethiopia, substantial progress has been made in decreasing stunting among children under the age of 5 years; although disparities varied in some areas and districts between surveys, the pattern generally remained constant over time. These findings suggest a need for region and district-specific policies where priority should be given to children in areas where most likely to exhibit high-risk stunting.

Spatial Distribution and Associated Factors of Institutional Delivery among Reproductive-Age Women in Ethiopia: The Case of Ethiopia Demographic and Health Survey.

Background: Maternal mortality is unacceptably high. About 295,000 women died during and following pregnancy and childbirth in 2017. The vast majority of these deaths (94%) occurred in low-resource settings, and most could have been prevented. Methods: This research is based on a cross-sectional study using 2016 EDHS data. The analysis included 7,590 women who had given birth in the five years prior to the survey. Clusters with high and low hot spots with institutional delivery were found using SatScan spatial statistical analysis. A multilevel multivariable mixed-effect logistic regression was utilized to discover characteristics associated with institutional delivery. Result: In this study, 33.25% of women who gave birth in the last 5 years preceding the survey delivered their babies at health institutions. The finding also indicated that the spatial distribution of institutional delivery was nonrandom in the country. Variables achieving statically significant association with utilization of institutional delivery were as follows: at the individual level, richness (AOR = 2.18, 95%CI: 1.39-3.41), higher education (AOR = 3.89, 95%CI: 1.51-10.01), a number of antenatal care visits of four and above (AOR = 6.57, 95%CI: 4.83-8.94), and parity of more than two children (AOR = 0.48, 95%CI: 0.34-0.68); at the community level, higher education (AOR = 1.70, 95%CI: 1.22-2.36) and urban residence (AOR = 5.30, 95%CI: 3.10-9.06) were variables that had achieved statically significant association for utilization of institutional delivery. Conclusions: This study identified a spatial cluster of institutional delivery with the Somali and Afar region having low utilization rates and Addis Ababa and Tigray regions having the highest utilization rates. The significant individual factors associated with institution delivery were woman antenatal care visits, household wealth index, maternal education, and parity, and the significant community ones were region, place of residence, and educational status. Therefore, to maximize health facility delivery in Ethiopia, the predictors of institutional delivery identified in this study should be given more attention by governmental and nongovernmental stakeholders.

eHealth Literacy and its Associated Factors Among Health Professionals During the COVID-19 Pandemic in Resource-Limited Settings: Cross-sectional Study.

BACKGROUND: The COVID-19 pandemic has wreaked havoc on health care systems and governments worldwide. Although eHealth literacy is acknowledged as a critical component of public health, it was overlooked during the pandemic. To assist patients and their families, health professionals should be knowledgeable about online health information resources and capable of evaluating relevant online information. In a resource-constrained situation, the level of eHealth literacy among health professionals is not well documented. OBJECTIVE: The aim of this study was to assess the eHealth literacy level and its associated factors among health professionals working in Amhara regional state teaching hospitals, Ethiopia. METHODS: A self-administered questionnaire was used in an institutional-based cross-sectional study design. Descriptive statistics were calculated to describe eHealth literacy statements and key variables using SPSS v.24. Bivariable and multivariable logistic regression models were fit to identify factors related to eHealth literacy. Variables with P<.05 were declared to be statistically significant predictors. RESULTS: A total of 383 participants completed and returned the questionnaire with a response rate of 90.5%. Health professionals demonstrated a moderate level of eHealth literacy (mean 29.21). Most of the professionals were aware of the available health resources located on the internet, and know how to search and locate these resources. However, they lack the ability to distinguish high-quality health resources from low-quality resources. Factors that were significantly associated with eHealth literacy were computer access, computer knowledge, perceived ease of use, and perceived usefulness of eHealth information resources. CONCLUSIONS: It is crucial to provide training and support to health care workers on how to find, interpret, and, most importantly, evaluate the quality of health information found on the internet to improve their eHealth literacy level. Further research is needed to explore the role of eHealth literacy in mitigating pandemics in developing countries.

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.

Evaluation of health-related quality of life of Covid-19 patients: a hospital-based study in South Central Ethiopia.

BACKGROUND: Covid-19 causes a wide range of symptoms in patients, ranging from mild manifestations to severe disease and death. This study assessed the health-related quality of life (HRQOL) and associated factors of Covid-19 patients using primary data from confirmed cases in South Central Ethiopia. METHODS: We employed a facility-based, cross-sectional study design and conducted the study at the Bokoji Hospital Covid-19 treatment centre. A structured questionnaire and the EQ-5D-3L scale were used to collect the data for analysis. The HRQOL results measured by the EQ-5D-3L tool were converted to a health state utility (HSU) using the Zimbabwe tariff. The average health utility index and HSU-visual analogue scale across diverse sociodemographic and clinical characteristics were compared using the Mann-Whitney U test or Kruskal-Wallis test. We employed a multiple linear regression to examine factors associated with HSU values simultaneously. The data were analysed using STATA version 15. RESULTS: The overall mean HSU score from the EQ-5D was 0.688 (SD: 0.285), and the median was 0.787 (IQR 0.596, 0.833). The mean HSU from the visual analogue scale score was 0.69 (SD: 0.129), with a median of 0.70 (IQR 0.60, 0.80). Those who received dexamethasone and intranasal oxygen supplement, those with comorbidity, those older than 55 years and those with a hospital stay of more than 15 days had significantly lower HSU scores than their counterparts (p < .001). CONCLUSION: Covid-19 substantially impaired the HRQOL of patients in Ethiopia, especially among elderly patients and those with comorbidity. Therefore, clinical follow-up and psychological treatment should be encouraged for these groups. Moreover, the health utility values from this study can be used to evaluate quality adjusted life years for future cost-effectiveness analyses of prevention and treatment interventions against Covid-19.

Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011-2016).

INTRODUCTION: Dietary diversity has a significant impact on children's nutritional health. For developing and implementing interventions, it is critical to understand the regional distribution of dietary diversity and underlying factors. However, the application of spatial techniques in dietary studies has not been well documented. The study's goal was to look into the regional variances and factors that influence children's dietary diversity. Further, we have discussed the spatial correlation of dietary diversity with nutritional status. METHODS: Data from the National Demographic and Health Survey were used during analyses. This work evaluated the overall dietary diversity of children aged 6-23 months based on the 2017 WHO and UNICEF classification of minimum dietary diversity (MDD). The Local Anselin Moran's I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariate multilevel logistic regression was used for factor analyses. RESULTS: Overall, only 13.3% (95% CI: 10.2-14.7%) of children in 2011 and 24% (95% CI: 15.5-26.5%) in 2016 achieved MDD. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) in the districts of northern Ethiopia, notably in the Amhara, Tigray, and Afar regions, and clusters of low inadequate dietary diversity (cold spots) in the country's central and western regions. In both studies, the frequency of dietary diversity was significantly higher among older children, those who had media exposure, and mothers and fathers who had received formal education. CONCLUSION: According to our findings, the MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016. The dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Localized intervention and preventative methods to improve dietary patterns and culture can be developed using existing socio-demographic factors and districts with a larger distribution of inadequate dietary diversity.