Coverage and determinants of HIV testing and counseling services among mothers attending antenatal care in sub-Saharan African countries: a multilevel analysis.

BACKGROUND: HIV/AIDS is one of the top global public health threats that causes significant cases, deaths, and socioeconomic impact. Even though both HIV testing and counseling are identified as essential HIV interventions during pregnancy, large population-representative data shows that service coverage and determinants are limited. Therefore, this study aimed to assess the coverage and determinants of HIV testing and counseling services among pregnant mothers attending antenatal care services in sub-Saharan African countries using different nationwide data. METHODS: This study was conducted on large national-representative data from the Demographic Health Survey (DHS) using multilevel analysis. Data extraction, cleaning, coding, and statistical analysis were performed using STATA version 17. Weighting was used to ensure the representativeness of the sample and to obtain reliable estimates and standard errors. The multivariable multilevel logistic regression model was used to identify the determinants of HIV testing and counseling during the antenatal care visit. Adjusted odds ratios with 95% confidence intervals were used to measure statistical significance. RESULTS: A total of 83,584 women attending antenatal care were included in this study. HIV testing and counseling coverage in sub-Saharan Africa was found to be 62.87% with a 95% CI of 62.54-63.19%. The HIV testing and counseling determinants included being in the age group of 35-49 (AOR = 1.64; 95% CI: 1.46-1.83), secondary and above education levels (AOR = 1.50; 95% CI: 1.39-1.60), having at least four ANC visits (AOR = 1.85; 95% CI: 1.68-2.02), living in an urban area (AOR = 1.40; 95% CI: 1.30-1.52), and living in countries such as Rwanda (AOR = 6.19; 95% CI: 5.19-7.38) and Mauritania (AOR = 0.02; 95% CI: 0.01-0.03). CONCLUSION: This study revealed that HIV testing and counseling coverage was 62.87% in sub-Saharan Africa. Factors affecting the HIV testing and counseling coverage were age, education, frequency of antenatal care visits, residence area, and living in Rwanda and Mauritania. Therefore, to increase HIV testing and counseling coverage in sub-Saharan Africa, policymakers on maternal health and other stakeholders should work with an integrated approach with other sectors and give prior attention to modifiable factors such as promoting women's education and the comprehensiveness of antenatal care follow-up services during the follow-up.

The effect of health insurance coverage on antenatal care utilizations in Ethiopia: evidence from national survey.

Background: About three-fourths of maternal near-miss events and two-fifths of the risk of neonatal mortality can be reduced by having at least one antenatal visit. Several studies have identified potential factors related to maternal health seeking behavior. However, the association between health insurance membership and antenatal care utilization was not well investigated in Ethiopia. Therefore, this study was aimed at assessing the effect of health insurance coverage on antenatal care use in Ethiopia. Methods: The study utilized data from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS). The analysis included a weighted sample of 3,919 women who gave birth in the last five years. A logistic regression model was employed to assess the association between antenatal care use and health insurance coverage and other covariates. The results were presented as adjusted odds ratios (AOR) at a 95% confidence interval (CI). Statistical significance was declared at a p-value <0.05 in all analyses. Results: Antenatal care was used by 43% (95% CI: 41.46 to 44.56%) of Ethiopian women. Those with health insurance coverage had higher odds of antenatal care use than those without health insurance coverage. Women were 33% more likely to use antenatal care (ANC) if they were covered by health insurance. Age, Media access, marital status, education status, wealth index, and economic regions were also factors associated with antenatal care utilizations. Conclusions: According to our findings, less than half of Ethiopian women had four or more antenatal care visits. Health insurance membership, respondent age, media access, marital status, education status, wealth index, and economic region were factors associated with antenatal care utilization. Improving health insurance, women's economic empowerment, and education coverage are critical determinants of antenatal care utilization.

Malaria Risk Perception and Preventive Behaviors Among Elementary School Students, Southwest Ethiopia. Generalized Structural Equation Model.

Background: In 2020, more than three billion of the world's population were the risk of being infected with malaria and four out of five deaths were from the African population. However, information is scarce on the association between risk perceptions and malaria prevention behaviors in resource-limited countries, particularly Ethiopia. Therefore, this study aimed to assess malaria risk perceptions and preventive behaviors. Methods: A cross-sectional study design was conducted among 401 elementary school students in Jimma zone, Oromia, Ethiopia, from April 2 to June 8, 2020. Data were collected through interviews using a semi-structured questionnaire. The data were entered into Epi-data 4.6 and analyzed using STATA version 14.2. The descriptive statistics were presented using frequency and percentages. A Cronbach's α coefficient of 0.7 or higher was used to assess the reliability of each domain. The Generalized Structural Equation Model (GSEM) was employed to examine the relationships and prediction of explanatory variables with risk perception and preventive behaviors of malaria. The model with a lower information criterion was taken as a better-fitting model. Finally, the statistically significant model effects were declared at a P-value of less than 0.05 at a confidence interval of 95%. Results: This study showed that having knowledge about malaria had an indirect positive effect on malaria preventive behavior (ß = 1.29, 95% CI 0.11 to 2.47), and had a positive total effect on the preventive behavior (ß = 2.99, 95% CI 0.08 to 2.67). Besides, an increased knowledge level had a direct positive effect on malaria risk perceptions (ß = 0.08, 95% CI 0.01 to 0.14), and malaria risk perception had a direct positive effect on malaria preventive behavior (ß = 1.21, 95% CI 0.10 to 2.31). Conclusion and Recommendation: This study demonstrated that having knowledge about malaria had a direct and indirect association with malaria preventive behavior. An increased level of knowledge had a direct positive effect on malaria risk perceptions. Moreover, malaria risk perception had a direct positive effect on malaria preventive behavior. Therefore, malaria prevention-targeted interventions, behavior change, and knowledge enhancing communication should be enhanced or scaled up to contribute to prompt treatment and progress toward the elimination of malaria.

Minimum Dietary Diversity Among Children Aged 6-59 Months in East Africa Countries: A Multilevel Analysis.

Objective: To find out the determinants of minimum dietary diversity (MDD) among under-five children in East Africa based on the 2017 revised indicator. Methods: Secondary data from the demographic and health survey (DHS) of eight countries in East Africa were combined. A total of 27,223 weighted samples of children aged 6-59 months were included. Multi-level logistic regression analysis was employed to identify the determinants of dietary diversity. Results: The magnitude of adequate MDD in East Africa was found to be 10.47% with 95% CI (10.12-10.84) with the lowest and highest magnitude in Ethiopia and Rwanda respectively. Having a mother in the age group of 35-49, having a mother with higher educational attainment, and having a post-natal check-up within 2 months were significant factors in determining adequate MDD. Conclusion: The magnitude of adequate MDD intake among children aged 6-59 months in East Africa is relatively low. Therefore, strengthening interventions focused on improving the economic status of households, the educational status of mothers, and diversified food consumption of children aged 6-59 months should get priority to improve the recommended feeding practice of children.

Sputum smear conversion and treatment outcomes among drug-resistant pulmonary tuberculosis patients in eastern Ethiopia: A 9-years data analysis.

Background: Drug-resistant tuberculosis (DR-TB) has become a public health problem throughout the world and about one-third of deaths were attributed to DR-TB from antimicrobial resistance which contributes to 10% of all TB deaths. Sub-Saharan Africa, particularly Ethiopia accounts for a significant number of TB cases. However, the scanty evidence on DR-TB contributing factors could affect the level of this deadly case tackling program. Therefore, this study aimed to assess the factors affecting sputum smear conversion and treatment outcomes among patients with DR-TB in Health facilities in Eastern Ethiopia. Methods and materials: A cross-sectional study design was employed from 10 October to 10 November 2021, in the health facilities providing DR-TB services in Harari Region and Dire Dawa city administration. The medical records of 273 DR-TB patients from 10 January 2013 to 27 December 2021, were reviewed using structured checklists. Data were entered into Epidata 3.1 version and exported to STATA 14 version for analysis. The outcome variables were Initial Sputum conversion (converted vs. not-converted) and treatment outcome (Unfavorable vs. Favorable). Sputum examination was performed using both Acid-fast bacillus (AFB) smear microscopy and Löwenstein-Jensen (LJ) culture technique. A binary logistic regression analysis was used to assess the association of independent variables with the first month sputum smear conversion, while a conditional logistic regression model was used to assess the association of treatment outcome with explanatory variables. The associations were reported using adjusted odds ratios (AORs) at a 95% confidence interval. Results: A total of 273 DR-TB patients were included in this study. The unfavorable DR-TB treatment outcome was significantly associated with the history of chewing khat (AOR = 4.38, 95% CI = 1.62, 11.84), having bilateral lung cavity on baseline chest X-ray (AOR = 12.08, 95% CI = 1.80, 2.57), having greater than 2+ smear result at baseline (AOR = 3.79, 95% CI = 1.35, 10.59), and poor adherence (AOR = 2.9, 95% CI = 1.28, 6.82). The sputum smear non-conversion at first month was significantly associated with being Human Immune Virus (HIV)-negative (AOR = 0.37, 0.17, 0.82), having low baseline BMI (AOR = 0.54, 95% CI = 0.29, 0.97), baseline culture > 2++ (AOR = 0.15, 95% CI = 0.05, 0.49) and having greater than 2+ sputum smear result (AOR = 0.09, 95% CI = 0.012, 0.67). Patients with normal chest X-ray at baseline had 3.8 times higher chance of sputum smear conversion on first month (AOR = 3.77, 1.11, 12.77). Conclusion: The overall initial sputum smear conversion and the treatment success rate among DR-TB patients were 52.75 and 66.30%, respectively. The Baseline underweight, HIV-negative, baseline smear > 2+, baseline culture > 2++, and clear lung on baseline X-ray were associated with smear conversion and history of khat chewing, bilateral lung cavity at baseline, having greater than 2+ smear results at baseline, and patients with poor treatment adherence had hostile treatment outcomes. So, strengthening and implementing nutrition assessment and patient counseling during directly observed therapies (DOTs) service and drug compliance could result in early sputum conversion and better treatment outcomes. DR-TB patients with high bacterial load and abnormal lungs on radiologic examination at baseline could need special attention during their course of treatment.

Postabortion Family Planning and Associated Factors Among Women Attending Abortion Service in Dire Dawa Town Health Facilities, Eastern Ethiopia.

Background: Postabortion family planning is a part of comprehensive package of postabortion care. However, it did not receive due attention to break the cycle of repeated abortion, unintended pregnancies, and abortion-related maternal morbidity and mortality. Therefore, this study aimed to determine the utilization of postabortion family planning and associated factors among women attending abortion service in Dire Dawa health facilities, Eastern Ethiopia. Methods: A facility-based cross-sectional study design was employed among 483 clients who sought abortion service in Dire Dawa from 15 May to 30 June 2020. A structured interviewer-administered questionnaire was used for data collection. The collected data were entered into EpiData version 3.2 and exported to SPSS version 22 for analysis. The multivariate logistic regression models were fitted to identify factors associated with utilization of postabortion family planning. Adjusted odds ratios (AORs) along with 95% CI were estimated to measure the strength of the association and statistical association was declared statistical at a p-value < 0.05. Results: More than three-fourths (77.8%) [95% CI: (73.4-81.6%)] of respondents were utilized postabortion family planning methods. Respondents with age 15-24 years [AOR: 5.59, (95% CI: (1.5, 19.7)], attended postsecondary [AOR: 7.6, (95% CI: (2.7, 21.2)], single marital status [AOR: 11.1, (95% CI: (4.6, 26.5)], a monthly income 500-1,000 birr [AOR: 7.9, (95% CI: (3.2, 19.4)], parity ≥ 5 [AOR: 0.41, (95% CI: (0.18, 0.92)], desire of current pregnancy [AOR: 4.2, (95% CI: (1.9, 9.3)], and ever used family planning [AOR: 4.4, (95% CI: (2.2, 8.9)] were major factors significantly associated with postabortion family planning utilization. Conclusion: In this study, more than three-fourths of respondents utilize postabortion family planning. Most of the factors associated with postabortion family planning were modifiable. Therefore, policymakers and health planners need to integrate with comprehensive abortion care to improve the utilization of postabortion family planning.

Magnitude of under-nutrition among under five children in Ethiopia based on 2019 Mini-Ethiopia Demographic and Health Survey: Generalized Linear Mixed Model (GLMM).

INTRODUCTION: Malnutrition is a major public health problem that is experienced by many developing countries, like Ethiopia. Though some studies were conducted to identify the magnitude and determinants of acute malnutrition among under-five children, there is a lack of evidence that is representative of all children in Ethiopia. Hence, this national-level data could be representative of all targets and provide us with updated information on the nation-wide magnitude of nutritional status among children under the age of five in Ethiopia. METHODS: This study used data from the 2019 Mini-Ethiopia Demographic and Health Survey (EDHS). Children aged 0-59 months with anthropometry data were included. Data processing and analysis were performed using STATA 15 software. Cross-tabulations and summary statistics were done to describe the study population. Generalized Linear Mixed Models (GLMMs) were used to estimate the association between nutritional status and explanatory variables and were expressed as an odds ratio with a 95% confidence interval (CI). Model comparison was done based on Akaike and Bayesian information criteria (AIC and BIC). RESULTS: The magnitude of stunting was 37.71% [95%CI: 36.35-39.08], while the magnitude of wasting was 7.14% [95%CI: 6.52-7.91]. Living in Tigray [AOR = 2.90, 95%CI: 2.05-4.11], Amhara [AOR = 1.98, 95%CI: 1.41-2.79], having a child aged 24-35 [AOR = 3.79, 95%CI: 3.07-4.68], and being a rural resident were all significantly associated with stunting. Being born in Tigray [AOR = 1.75, 95% CI: 1.02-3.01], being born into the richest family [AOR = 0.74, 95% CI: 0.27-0.80], and being born from mothers aged 25-29 [AOR = 0.73, 95% CI: 0.55-0.96] were all significantly associated with wasting. CONCLUSION: The magnitude of stunting and wasting is relatively high in Ethiopia. Region, place of residence, and age of the child were significantly associated with stunting, and region, wealth index, and age of the child were significantly associated with wasting. This result provides a clue to give due consideration to under-five children to mitigate the risks of malnutrition through various techniques.

Determinants of potentially harmful traditional cord care practices among mothers in Ethiopia.

Background: Globally, newborn deaths have declined from 5 million in 1990 to 2.4 million in 2019; however, the risk of death in the first 28 days is high. Harmful umbilical cord care contributes to neonatal infection, which accounts for millions of neonatal deaths. This study assessed determinants of potentially harmful traditional cord care practices in Ethiopia using data from a nationally representative survey. Materials and methods: Secondary data analyses were employed using data from the 2016 Ethiopian Demographic and Health Survey. Weighted samples of 4,402 mothers who gave birth in the last 3 years prior to the survey were included in the analysis. Binary logistic regression was fitted to identify associations of outcome variables with explanatory variable analysis, and the results were presented with an adjusted odds ratio (AOR) at a 95% confidence interval (CI), declaring statistical significance at a p-value < 0.05 in all analyses. Results: About 13.70% (95% CI: 12.7%, 14.7%) of mothers practice harmful traditional umbilical cord care. Maternal age (25-34 years, AOR = 1.77, 95% CI: 1.36, 2.31, 35-49 years, AOR = 1.53, 95% CI: 1.07, 2.19), maternal education (primary: AOR = 0.54, 95% CI: 0.41, 0.70 and secondary and above: AOR = 0.61, 95% CI: 0.40, 0.94), parity (para two, AOR = 0.71, 95% CI: 0.55, 0.92), and place of delivery (home delivery, AOR = 1.96, 95% CI: 1.51, 2.56) were factors associated with potentially harmful traditional umbilical cord care practices. Conclusion: Maternal educational status, parity, maternal age, and place of delivery were associated with harmful traditional cord care practices. Thus, improving mothers' education, strengthening antenatal and postnatal care (PNC), and utilization of institutional delivery would help to reduce harmful traditional cord care practices.

Health insurance coverage in Ethiopia: financial protection in the Era of sustainable cevelopment goals (SDGs).

BACKGROUND: Health insurance is among the healthcare financing reforms proposed to increase the available healthcare resources and to decrease the risk of household financial crisis. Recently, Ethiopia has been implementing community-based health insurance which mainly targets the very large rural agricultural sector and small and informal sector in urban settings. Therefore, this study was aimed to assess the coverage of health insurance and its determinants in Ethiopia. METHODS: Data were extracted from the 2019 mini Ethiopian Demographic and Health Survey (EDHS) to assess determinants of health insurance coverage in Ethiopia. The analysis included a weighted sample of 8663 respondents. Multivariable logistic regression analysis was conducted and the results were presented as adjusted odds ratio (AOR) at 95% confidence interval (CI), statistical significance was declared at a p-value < 0.05 in all analyses. RESULTS: The health insurance coverage in Ethiopia was 28.1% (95%CI: 27.2%, 29%). Administration regions (Tigray: AOR = 16.9, 95%CI: 5.53, 51.59, Amhara: AOR = 25.8, 95%CI: 8.52, 78.02, Oromia, AOR = 4.27, 95%CI: 1.41, 12.92, Southern Nations, Nationalities and Peoples region, AOR = 4.06, 95%CI: 1.34, 12.32, Addis Ababa, AOR = 4.65, 95%CI: 1.46, 14.78), place of residence (rural, AOR = 1.38, 95%CI: 1.17, 1.63), sex of household head (male; AOR = 1.23, 95%CI: 1.07, 1.41), wealth index (middle, AOR = 1.75, 95%CI: 1.46, 2.09, richer, AOR = 1.86, 95%CI: 1.55, 2.24), family size (≥ 5 members, AOR = 1.17, 95%CI: 1.03, 1.33), having under-five children (AOR = 1.22, 95%CI: 1.076, 1.38), and age of household head (31-40 years, AOR = 1.71, 95%CI: 1.45, 2.01, 41-64 years, AOR = 2.49, 95%CI: 2.12, 2.92, 65 + years, AOR = 2.43, 95%CI: 2.01, 2.93) were factors associated with health insurance coverage. CONCLUSIONS: Less than one-third of Ethiopians were covered by health insurance. Socio-economic factors and demographic factors were found to associate with health insurance coverage in Ethiopia. Therefore, enhancing health insurance coverage through contextualized implementation strategies would be emphasized.

Incidence and Predictors of Virological Failure Among Adult HIV/AIDS Patients on Second-Line Anti-Retroviral Therapy, in Selected Public Hospital of Addis Ababa, Ethiopia: Retrospective Follow-Up Study.

Introduction: Virological suppression for persons living with HIV (PLHIV) on antiretroviral therapy (ART) reached 85% at the end of 2018, still falling short of the UNAIDS target of 95%. In Ethiopia, there were studies on treatment failure focusing on viral suppression and immunological failure of ART users, but none of them have addressed virological failure for second-line regimens. Objective: This study was aimed to estimate the incidence and predictors of virological failure among HIV patients who were switched to second-line ART at the selected public hospitals in Addis Ababa. Methods: An institutional-based retrospective follow-up study was conducted from September 2018 to January 2021 at public hospitals in Addis Ababa. The sample size was determined by using the Schoenfeld formula. Data entry were done by Epi Data version-4.6.0.0 and exported to R-software version-4.1.0 for analysis. Kaplan-Meier methods were used to compare the survival estimates. Cox proportional hazard model was used to identify predictors of virological failure and model adequacy was checked by using the Cox-Snell residuals plot. Results: Overall 44 (12.22%) HIV/AIDS patients developed virological failure with incidence density of 3.57/1000 Person-Month (PM) with 95% CI of [2.65-4.79]. Age >45 years (AHR=0.36, 95% CI: 0.12-0.99), CD4 count <100cell/mm3 (AHR=3.02, 95% CI: 1.17-7.78), TB co-infection (AHR=2.48, 95% CI: 1.10-6.33), ATV/r-based second-line regimen (AHR=0.27, 95% CI: 0.11-0.70), and poor adherence at the start of second-line ART (AHR=6.18, 95% CI: 1.93-19.76) were the significant predictors of virological failure. Conclusion: A high incidence of virological failure was noticed. The rate of virological failure was higher for patients who had poor ART adherence, small CD4count, and TB co-infection. Therefore, targeted HIV care interventions shall be provided to young ages and efforts stepped up to improve adherence to ART, which helps to increase immunity and suppress viral replication. In addition, prevention and early detection of TB co-infection are crucial to the patients.

Association of Pre-Existing Comorbidities with Disease Severity Among COVID-19 Patients in Eastern Ethiopia.

Background: Comorbidities and advanced age increase the risk of severe outcomes of COVID-19. In order to shift the possible unfavorable treatment outcome in patients with chronic illnesses, information related to the prevalence of chronic illness and its effect on severity of COVID-19 infection has paramount importance. Objective: This study was aimed at assessing the prevalence of comorbidities and associated severity among COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia. Methods: An institution-based cross-sectional study design was employed among 422 COVID-19 patients admitted to COVID-19 treatment center, eastern Ethiopia from April 10, 2020, to August 10, 2021. Binary logistic regression was fitted to identify comorbidities and other factors associated with severe clinical outcome, associations were presented with adjusted odds ratios (AORs) and 95% confidence intervals (CIs). In all analyses statistical significance were declared at p-value <0.05. Results: More than half (52.4%) of the COVID-19 patients were presented with comorbid conditions. One third (34.6%) of the admitted COVID-19 patients were in severe clinical stages. Marital status (AOR=4.56; 95% CI: 1.40, 14.76), hypertension (AOR=2.08; 95% CI: 1.09, 3.97), diabetes mellitus (AOR=3.31; 95%:1.84, 5.98), and cardiovascular diseases (AOR=4.22; 95% CI: 2.18, 8.15) were identified as factors associated with severe clinical stages. Conclusion: The comorbid conditions such as diabetes, hypertension, and cardiovascular diseases, and marital status were identified as significant predictors of severe outcomes of COVID-19. Therefore, identifying the people with chronic comorbidities as a risk group would help to anticipate and prevent the serious outcomes of COVID-19 infection.

Magnitude of Anemia and Its Associated Factors Among Pregnant Women Attending Antenatal Care in Hiwot Fana Specialized University Hospital in Eastern Ethiopia.

Background: Anemia is a significant public health issue, accounting for 20-40% of maternal deaths. Despite the government's commitment and the interventions of various stakeholders, the magnitude and major risk factors of anemia remain unabated. Though there are few documented studies on anemia among pregnant women in eastern Ethiopia in general, in the study area in particular, some of the variables such as helminthics and history of caesarian section in relation to anemia need to be studied. As a result, the purpose of this study was to determine the magnitude of anemia and associated factors among pregnant women attending antenatal care in University Hospital in eastern Ethiopia. Methods: A facility-based cross-sectional study was conducted on a sample of 456 clients who were attending antenatal care in Hiwot Fana specialized university hospital from 01 to 30 June 2021. Systematic sampling was used to select the study participants. A pretested and structured interviewer-administered questionnaire and sample collection were used to collect the data. The data were coded, double-entered to Epi data version 3.1, cleaned, and exported to SPSS version 20 for analysis. Descriptive statistics were used to present frequency distributions. Variables with p-value < 0.25 during bivariate analysis were entered into the multivariate logistic regression models to control for all possible confounders to identify the factors associated with a magnitude of anemia. Odds ratio along with 95% CI were estimated to measure the strength of the association. The level of statistical significance was declared at a p-value of < 0.05. Result: A total of 456 participants were interviewed, with a response rate of 96.9%. The magnitude of anemia among pregnant women was 112 [(25.3%) 95%CI: (21.5-29.2%)], of which, 27 (6.10%), 36 (8.13%), and 49 (11.08%) had mild, moderate, and severe anemia, respectively. Birth interval < 2 years [AOR: 3.24, (95% CI: (1.88, 4.32)], number of children ≥2 [AOR: 2.54, (95% CI: (1.12, 4.64)], monthly income < 1,000 birr [AOR: 2.89, (95% CI: (1.31, 5.58)], third trimester pregnancy [AOR: 2.89, (95% CI: 4.86, 12.62)], and abnormal menstrual history [AOR: 2.28, (95% CI: (1.69, 5.24)] were the factors significantly associated with anemia. Conclusion: Anemia among pregnant women was relatively high compared to previous studies. Birth intervals, number of children, history of menstrual disorder, monthly income, and trimester of pregnancy were all significantly associated with anemia in pregnant women.

Health-care Workers' Willingness to Pay for COVID-19 Vaccines in Eastern Ethiopia: Using Contingent Valuation Method.

Background: Health-care workers (HCWs) are among the highest risk groups for COVID-19 infection. The vaccine is found to be vital for HCWs, their household contacts, and their patients to protect against COVID-19 infection and maintain the safety of health systems. The actual willingness to pay for COVID-19 vaccination and associated factors remain uncertain among health-care workers in Ethiopia. Therefore, studying health-care workers' willingness to pay (WTP) for COVID-19 vaccination helps to have an insight on valuation of the vaccine. Methods: Institution-based cross-sectional study was conducted among 403 randomly selected health-care workers working in health facilities in eastern Ethiopia from February 3 to March 20, 2021. Pretested structured questionnaire was used to collect data. Binary logistic regression analysis was fitted to test the associations between outcome and explanatory variables. A p-value of <0.05 with 95% confidence interval was used to declare statistical significance. Results: The magnitude of willingness to pay for a COVID-19 vaccine was 42.8%. The median amounts of money respondents willing to pay was 400 ETB (US$ 10.04). Sex (male, AOR = 2.33; 95% CI: 1.39, 3.93), monthly income (>7000 ETB, AOR = 1.22; 95% CI: 1.11, 2.51), affordability (AOR = 1.99; 95% CI: 1.18, 3.35), fear of side effects (AOR = 3.75; 95% CI: 2.13, 6.60), support vaccinations (AOR = 2.97; 95% CI: 1.65, 5.35), the likelihood of getting COVID-19 infection (AOR = 2.11; 95% CI: 1.26, 3.52) were independent determinants of WTP for a COVID-19 vaccine. Conclusion: Health-care workers' willingness to pay for COVID-19 vaccination was found to be low. Detailed health education and training about COVID-19 vaccines are required regarding their side effects, and efficacy to make an informed decision to enhance the willingness to pay for the vaccine. Moreover, the government should consider providing COVID vaccines free of charge for low-income groups and at an affordable price for those who could pay.

Perinatal mortality and its predictors in Kersa Health and Demographic Surveillance System, Eastern Ethiopia: population-based prospective study from 2015 to 2020.

OBJECTIVE: Perinatal mortality is an important outcome indicator for newborn care and directly mirrors the quality of prenatal, intra partum and newborn care. Therefore, this study was aimed at estimating perinatal mortality and its predictors in Eastern Ethiopia using data from Kersa Health and Demographic Surveillance System (KHDSS). DESIGN, SETTINGS AND PARTICIPANTS: An open dynamic cohort design was employed among pregnant women from 2015 to 2020 at KHDSS. A total of 19 687 women were observed over the period of 6 years, and 29 719 birth outcomes were registered. OUTCOME MEASURES: Perinatal mortality rate was estimated for each year of cohort and the cumulative of 6 years. Predictors of perinatal mortality are identified. RESULTS: From a total of 29 306 births 783 (26.72 deaths per 1000 births; 95% CI 24.88 to 28.66) deaths were occurred during perinatal period. Rural residence (adjusted OR (AOR)=3.43; 95% CI 2.04 to 5.76), birth weight (low birth weight, AOR=3.98; 95% CI 3.04 to 5.20; big birth weight, AOR=2.51; 95% CI 1.76 to 3.57), not having antenatal care (ANC) (AOR=1.67; 95% CI 1.29 to 2.17) were associated with higher odds of perinatal mortality whereas the parity (multipara, AOR=0.46; 95% CI 0.34 to 0.62; grand multipara, AOR=0.31; 95% CI 0.21 to 0.47) was associated with lower odds of perinatal mortality. CONCLUSIONS: The study revealed relatively high perinatal mortality rate. Place of residence, ANC, parity and birth weight were identified as predictors of perinatal mortality. Devising strategies that enhance access to and utilisations of ANC services with due emphasis for rural residents, primipara mothers and newborn with low and big birth weights may be crucial for reducing perinatal mortality.

Incidence and predictors of organ failure among COVID-19 hospitalized adult patients in Eastern Ethiopia. Hospital-based retrospective cohort study.

BACKGROUND: Organ failure is incapability of at least one of the body organs to carry out a normal body functions. Identifying the predictors of the organ failure is crucial for improving COVID-19 patients' survival. However, the evidence related to this information is not well-established in developing countries, including Ethiopia. Therefore, this study aimed to determine the incidence and predictors of organ failure among adult patients admitted to Hiwot Fana Specialized University Hospital (HFSUH) COVID-19 treatment center from 1st May 2020 to 20th August 2021, Eastern Ethiopia. METHODS: A hospital-based retrospective cohort study design was implemented. Descriptive measures such as mean with standard deviation (SD), median with interquartile range (IQR), percentages, and frequencies were computed. The binary logistic regression was used to identify the association between outcome variables (organ functional status) and independent variables with an adjusted odds ratio (AOR) at a 95% confidence interval. A significance level was declared at a p-value of less than 0.05. RESULTS: The mean age of study participants was 47.69 years with the standard deviation (SD) of ± 17.03. The study participants were followed for the median time of 8 days with IQR of 4, 14. The incidence of organ failure was 11.9 per 1000 person-day contribution (95% CI: 9.5, 14.9). Predictors such as age above 60 years (AOR = 1.71, 95% CI: 1.44, 4.53), smoking history (AOR = 5.07, 95% CI: 1.39, 8.15), cardiovascular disease (AOR = 5.00, 95% CI: (1.83, 11.72), and critical clinical stages of COVID-19 (AOR = 5.42, 95%: 1.47, 14. 84) were significantly associated with organ failure among COVID-19 hospitalized patients. CONCLUSIONS: The incidence of organ failure was 11.9 per 1000 person-day contribution. Age, smoking, comorbidity, and clinical stages were significantly associated with organ failure among COVID-19 hospitalized cases. Therefore, clinicians should stringently follow the patients experiencing modifiable predictors of organ failure, especially patients with comorbidities and severe clinical stages. Moreover, the prevention programs that target elders and smokers should be strengthening to save this segment of populations before suffering from organ failure following COVID-19.

Magnitude and Determinants of Under-Nutrition Among Late Adolescent Girls in East Africa: Evidence From Demographic and Health Surveys (2010-2016).

Background: Adolescent girls are vulnerable to undernutrition owing to their increased nutrition demand for growth and development, including sexual development and maturation. Despite its public health importance, undernutrition among late adolescent girls has received little attention in health and nutrition policies. Although undernutrition in adolescent girls has been investigated, most of the previous study reports were based on small sample sizes and limited geographic settings. Therefore, we aimed to estimate the prevalence and determinants of undernutrition among late adolescent girls in East Africa. Methods: Secondary data analysis was conducted among 10 East African countries using the most recent Demographic and Health Survey (DHS) reports. A total of 21,779 adolescent girls aged 15-19 years were included in this study. Descriptive statistics were conducted to describe the study population. The binary logistic regression model was fitted to identify the determinants of undernutrition among late adolescent girls. Variables with a p-value of <0.05 in the multivariate analysis were identified as statistically significant determinants of undernutrition. Results: The overall magnitude of undernutrition among late adolescent girls in East Africa was 16.50% (95% CI: 16.00-17.00), whereas the overall magnitude of obesity among late adolescent girls in East Africa was 2.41% (95% CI: 2.21-2.62). In the final model of the multivariate analysis, adolescent girls aged 18-19 years [adjusted odds ratio (AOR) = 0.55; 95% CI: 0.51-0.60], having secondary education (AOR = 0.79; 95% CI: 0.68-0.93), being from a rich wealth index family (AOR = 0.63; 95% CI: 0.56-0.69), and being from a medium wealth index family (AOR = 0.80; 95% CI: 0.72-0.89) were negatively and statistically associated with undernutrition. Likewise, having more than seven household members (AOR = 1.36; 95% CI: 1.10-1.67), walking more than 30 min to a water source (AOR = 1.10; 95% CI: 1.01-1.20), and living in Ethiopia (AOR = 1.75; 95% CI: 1.51-2.03) were positive determinants of undernutrition among late adolescent girls. Conclusion: In this study, undernutrition in late adolescent girls remains a considerable public health problem in East Africa. Age group, educational status, marital status, family wealth index, family size, time taken to reach a water source, media exposure, and country of resident were significant determinants of undernutrition. Therefore, devising strategies that improve the socioeconomic status of households and/or adolescents would help to reduce the risks of undernutrition in late adolescents.

Epidemiology and causes of intestinal obstruction in Ethiopia: A systematic review.

Objective: This systematic review was aimed to address the prevalence and causes of intestinal obstruction in Ethiopia. Methods: Systematic searches were conducted on PubMed, EMBASE, CINAHL, Scopus, African Journals Online, HINARI, and other supplementary sources, including Google Scholar. We conducted methodological quality assessments for the articles by employing a critical appraisal checklist of Joanna Briggs Institute. Results: The reported prevalence of intestinal obstruction in Ethiopia ranges from 18.6% to 50.7% among patients with acute abdomen. However, the prevalence varies from 4.3% to 34.6% among total surgical admissions. The leading causes of small intestinal obstruction were small bowel volvulus, intussusception, and adhesion. Sigmoid volvulus was the most commonly reported cause of large intestine obstruction, followed by colonic cancer. Conclusion: The highest reported prevalence of intestinal obstruction in Ethiopia was 50.7% among patients with acute abdomen and 34.6% among surgical admissions. Small intestine volvulus and sigmoid volvulus were the common causes of small and large bowel obstructions, respectively. Therefore, clinicians have to consider the common causes during the diagnosis and management of intestinal obstruction.

Magnitude, Trends, and Determinants of Institutional Delivery Among Reproductive Age Women in Kersa Health and Demographic Surveillance System Site, Eastern Ethiopia: A Multilevel Analysis.

Background: Institutional delivery service utilization is a critical and proven intervention for reducing maternal and neonatal mortality. Institutional delivery service utilization can improve maternal health and wellbeing by ensuring safe delivery and reducing problems occurring during childbirth. In Ethiopia, almost all previous researches were cross-sectional studies and most of them were based on small sample sizes and there are no sufficient reports for the trends. Therefore, this study aimed to assess the magnitude, trends, and determinants of institutional delivery using surveillance data from the Kersa Health and Demographic Surveillance System (HDSS), in Eastern Ethiopia from 2015 to 2020. Methods: The study was conducted among reproductive-aged women selected from the Kersa HDSS site, Eastern Ethiopia for the duration of 2015 to 2020. Data were extracted from the Kersa HDSS database system. After coding and recoding, the data was exported to R software for further analysis. A chi-squared test was used for trends to examine the significance of the change. A multilevel logistic regression model was fitted to identify determinants of institutional delivery. An adjusted odds ratio with a 95% confidence interval (CI) was used to measure the strength of the associations. Statistical significance was declared at a p-value < 0.05. Results: A total of 20,033 reproductive age women were employed for analysis. The overall magnitude of institutional delivery was 45.03% with 95% CI (44.33-45.72). The institutional delivery has shown a decreasing trend over the 6 years' and there is statistical significance for the declining. Semi-urban resident [AOR = 2.33, 95% CI: 1.37-4.48], urban resident [AOR = 7.18, 95% CI: 5.24, 8.71], read and write [AOR = 1.54, 95% CI: 1.18, 2.01], literate [AOR = 1.46, 95% CI: 1.34-1.59], and antenatal care [AOR = 1.73, 95% CI: 1.58-1.88] were significantly associated with institutional delivery. Conclusion: The magnitude of institutional delivery was relatively low and has shown a decreasing trend. Community-based interventions should be strengthened to reverse the decreasing trend of institutional delivery. Targeted information dissemination and communication should be provided to those mothers who have no formal education and attention should be given to rural residents.

Association of Higher Educational Attainment on Antenatal Care Utilization Among Pregnant Women in East Africa Using Demographic and Health Surveys (DHS) from 2010 to 2018: A Multilevel Analysis.

INTRODUCTION: The use of antenatal care (ANC) plays a major role in minimizing maternal and child mortality through effective and appropriate screening, preventive, or treatment intervention. Even though almost all pregnancy-related mortalities are largely preventable through adequate use of ANC, sub-Saharan Africa (SSA), particularly East African Countries, continues to share the largest share of global maternal, and newborn mortality. Therefore, this study assesses if educational attainment is associated with optimal ANC utilization in East Africa. METHODS: A secondary data analysis was done based on Demographic and Health Surveys (DHS) from 2010 to 2018 in the 11 East African Countries. A total weighted sample of 84,660 women who gave birth in the 5 years preceding each country's DHS survey and had ANC visits were included in this study. Data processing and analysis were performed using STATA 15 software. A multilevel mixed-effect logistic regression model was fitted to examine the association of educational attainment and ANC utilization. Variables with a p-value <0.05 were declared as significant factors associated with ANC utilization. Model comparison was done based on Akaike and Bayesian Information Criteria (AIC and BIC). RESULTS: The magnitude of optimal ANC utilization in East African Countries was 56.37% with 95% CI (56.03, 56.69) with the highest optimal ANC utilization in Zimbabwe (80.96%) and the lowest optimal ANC utilization in Rwanda (44.31%). Women who had higher education levels were more likely to have optimal ANC utilization, compared to those with no education (AOR = 2.34; 95 and CI; 2.11-2.59). Women who had media exposure were more likely to have optimal ANC utilization than those who have no media exposure (AOR = 1.07; 95% CI; 1.03, 1.10). CONCLUSION: Antenatal care utilization was low in East African countries. Educational attainment, maternal age, wealth index, birth order, media exposure, and living countries were factors associated with ANC utilization. Efforts to improve antenatal care and other maternal health service utilization in East Africa must take into account these factors. Specifically, working on the access to mass media by women may also improve antenatal care utilization.

Factors associated with prolonged length of hospital stay among COVID-19 cases admitted to the largest treatment center in Eastern Ethiopia.

INTRODUCTION: The hospital admissions load and how long each patient will stay in the hospital should be known to prevent the overwhelming of the health system during coronavirus disease 2019 era. Even though the length of hospital stay could vary due to different factors, the factors that affect the stay are not well characterized yet, particularly in the resource-limited settings. Knowing the time spent by the coronavirus disease 2019 patients in the hospital and its associated factors are important to prioritize mobilizing resources, such as beds, pharmacological and non-pharmacological supplies, and health personnel. Therefore, this study was intended to determine the median and identify factors associated with the length of hospital stay among coronavirus disease 2019 cases. METHODS: A facility-based cross-sectional study design was implemented on 394 randomly selected hospitalized patients. Epidata Version 3.1 software was used for data entry, and further analysis was done using Stata version 14.2 software. Frequencies, median with interquartile range, and chi-square test were performed. A logistic regression model was used to identify the association between outcome and explanatory variables. The statistical significance was declared at p-value of less than 0.05 at 95% confidence interval. RESULTS: The analysis was done for a total of 394 cases admitted for coronavirus disease 2019. The median age of the study participants was 40 years with interquartile range of 28-60 years. The median length of hospital stay was 12 days with the interquartile range of 8-17 days. The patients presented with shortness of breathing (AOR = 2.74, 95% confidence interval: 1.33-5.66), incident organ failure (AOR = 3.65, 95% confidence interval: 1.15-11.58), increased leukocyte count (AOR = 0.95; 95% confidence interval: 0.91-0.99), and blood urea nitrogen (AOR = 0.98, 95% confidence interval: 0.97-0.99) had a significant association with prolonged hospital stay. CONCLUSION: This study demonstrated that the proportion of patients stayed above the median hospital stay of the total patients was 185 (46.9%) with the median length of 12 (interquartile range = 8-17) days. Patients presented with difficulty of breathing, had incident organ failure, had decreased leukocyte, and blood urea nitrogen level should be estimated to stay longer in the hospital. Hence, patients with prolonged hospital length of stay associating factors should be expected to consume more pharmacological and non-pharmacological resources during hospital care receiving.