Assessment of Violence during COVID-19 among Reproductive Age Women in Arsi Zone, South East Ethiopia.

Background: Preventive measures, like staying at home during lockdown, are mandatory during the COVID-19 pandemic. Particularly as a result of staying at home, violence against women is beginning to increase in correlation with these measures. Therefore, the purpose of this study was to assess the prevalence of violence against women of reproductive age during the COVID-19 pandemic in the Arsi Zone. Methods: A community-based cross-sectional study design was employed from February 15 to March 30, 2021. A multistage sampling technique was used to recruit 1458 women aged 15-49 years old. Data entry was performed using Epi info-7 and exported to SPSS version 25 for analysis. A logistic regression analysis was employed to identify factors associated with violence against women at p value <0.05 and AOR values with 95% CI. Results: The prevalence of violence against women during COVID-19 was 51.1% (95% CI 48.5-53.7%). Psychological violence (31.8%) and controlling behavior violence (29.3%) were the leading types of violence followed by economic (20.2%) and sexual violence (15.6%). Respondents who had monthly income of <1000 birr (AOR = 1.72; 95% CI, 1.18, 2.51), 1001-2000 birr (AOR = 2.22; 95% CI, 1.51, 3.27), 2001-3000 birr (AOR = 1.91; 95% CI, 1.26, 2.91), and 3001-4000 birr (AOR = 2.03; 95% CI, 1.31, 3.14), quarreled with their partner's family (AOR = 3.36; 95% CI: 2.14-5.30), witnessed chilhood family violence (AOR = 2.34; 95% CI: 1.81-3.02), and decisions made on the household issue by husband only (AOR = 2.62; 95% CI: 2.01-3.41) or wife only (AOR = 1.99; 95% CI: 1.33-2.98) were significantly associated with violence against women. In addition, we found that participants whose partners cannot read and write (AOR = 2.63; 95% CI: 1.19- 5.81), drink alcohol (AOR = 2.78; 95% CI: 2.10-3.76), chew chat (AOR = 3.27; 95% CI: 2.21-4.85), ever fighting or aggressive with other men (AOR = 2.73; 95% CI: 1.51-4.95), and partners' families taking part in the decision making (AOR = 2.32; 95% CI: 1.49-3.62) were also associated with violence against women. Conclusions: One in every two women was the victim of any form of violence in the study area. Hence, empowering women's economic status and enhancing community-based health education for males on behavioral lifestyle modification were required to prevent violence against women.

Willingness to pay for Social Health Insurance and associated factors among Public Civil Servants in Ethiopia: A systematic review and meta-analysis.

BACKGROUND: The provision of equitable and accessible healthcare is one of the goals of universal health coverage. However, due to high out-of-pocket payments, people in the world lack sufficient health services, especially in developing countries. Thus, many low and middle-income countries introduced different prepayment mechanisms to reduce large out-of-pocket payments and overcome financial barriers to accessing health care. Though many studies were conducted on willingness to pay for social health insurance in Ethiopia, there is no aggregated data at the national level. Therefore, this systematic review and meta-analysis aimed to estimate the pooled magnitude of willingness to pay for social health insurance and its associated factors among public servants in Ethiopia. METHOD: Studies conducted before June 1, 2022, were retrieved from electronic databases (PubMed/Medline, Science Direct, African Journals Online, Google Scholar, and Web of Science) as well as from Universities' digital repositories. Data were extracted using a data extraction format prepared in Microsoft Excel and the analysis was performed using STATA 16 statistical software. The quality of the included studies was assessed using the Newcastle-Ottawa Scale for cross-sectional studies. To evaluate publication bias, a funnel plot, and Egger's regression test were utilized. The study's heterogeneity was determined using Cochrane Q test statistics and the I2 test. To determine the pooled effect size, odds ratio, and 95% confidence intervals across studies, the DerSimonian and Laird random-effects model was used. Subgroup analysis was conducted by region, sample size, and publication year. The influence of a single study on the whole estimate was determined via sensitivity analysis. RESULT: To estimate the pooled magnitude of willingness to pay for the Social Health insurance scheme in Ethiopia, twenty articles with a total of 8744 participants were included in the review. The pooled magnitude of willingness to pay for Social Health Insurance in Ethiopia was 49.62% (95% CI: 36.41-62.82). Monthly salary (OR = 6.52; 95% CI:3.67,11.58), having the degree and above educational status (OR = 5.52; 95%CI:4.42,7.17), large family size(OR = 3.69; 95% CI:1.10,12.36), having the difficulty of paying the bill(OR = 3.24; 95%CI: 1.51, 6.96), good quality of services(OR = 4.20; 95%CI:1.97, 8.95), having favourable attitude (OR = 5.28; 95%CI:1.45, 19.18) and awareness of social health insurance scheme (OR = 3.09;95% CI:2.12,4.48) were statistically associated with willingness to pay for Social health insurance scheme. CONCLUSIONS: In this review, the magnitude of willingness to pay for Social Health insurance was low among public Civil servants in Ethiopia. Willingness to pay for Social Health Insurance was significantly associated with monthly salary, educational status, family size, the difficulty of paying medical bills, quality of healthcare services, awareness, and attitude towards the Social Health Insurance program. Hence, it's recommended to conduct awareness creation through on-the-job training about Social Health Insurance benefit packages and principles to improve the willingness to pay among public servants.

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.

Is Ethiopian community-based health insurance affordable? Willingness to pay analysis among households in South Central, Ethiopia.

BACKGROUND: Community-based Health Insurance (CBHI) is a voluntary prepayment mechanism that guarantees the provision of basic healthcare services without financial barriers to underserved segments of the population in developing countries. The Government of Ethiopia launched the CBHI program to protect the community from high out-of-pocket health expenditure and improve health service utilization a decade ago. However, to improve the quality of healthcare services delivery in health facilities and cover the changing costs of healthcare, the government should revise the contribution of the CBHI scheme. Therefore, we determined the willingness to pay for a CBHI scheme and associated factors among rural households of Lemu and Bilbilo district, South Central Ethiopia. METHODS: We conducted a community-based cross-sectional study design to assess willingness to pay for the CBHI scheme and its associated factors among households in Lemu and Bilbilo districts, South Central Ethiopia. We used a double bounded contingent valuation method to elicit households' willingness to pay for the CBHI scheme. Data were coded, cleaned, entered into Statistical Package for Social Science (SPSS) version 25, and exported to STATA 16 for analysis. A logistic regression analysis was conducted to determine the presence of statistically significant associations between the willingness to pay for the CBHI scheme and independent variables at a p-value <0.05 and Adjusted odds ratio (AOR) values with 95% CI. Finally, we checked the fitness of the model using Hosmer and Lemeshow's goodness-of-fit test. RESULTS: Of the 476 study participants, 82.9% (95% CI: 79.2%, 86.01%) were willing to pay for the CBHI scheme and only 62% of them can afford the average amount of 358.32ETB ($7.68) per household per annum. Primary education (AOR = 3.17; 95% CI: 1.74-5.80), secondary and above education (AOR = 4.13; 95% CI: 1.86-9.18), large family size (AOR = 2.75; 95% CI: 1.26-5.97), monthly income of 500-1000ETB (AOR = 3.75; 95% CI: 1.97-7.13) and distance to public health facilities (AOR = 2.14, 95% CI: 1.04-4.39 were significantly associated with willingness to pay for the CBHI scheme. CONCLUSION: In this study, around 83% of respondents were willing to pay for the CBHI and meet the government expectation for 2020. The study also revealed that educational status, family size, monthly income, and distance from the health facilities were significant factors associated with WTP for the CBHI scheme. In addition, we found that a large number of the respondents couldn't afford the average amount of money that the participants were willing to pay for the CBHI scheme. So, the government should consider the economic status of the communities while revising the CBHI scheme premium not to miss those who cannot afford the contribution.

Community-Based Health Insurance Membership Renewal Rate and Associated Factors among Households in Gedeo Zone, Southern Ethiopia.

Background: Community-based health insurance (CBHI) scheme is an emerging strategy to achieve universal health coverage and protect communities in developing countries from catastrophic financial expenditure at the service delivery point. However, high membership discontinuation from the CBHI scheme remained the challenge to progress toward universal financial protection in resource-constrained countries. Therefore, this study assessed the community-based health insurance membership renewal rate and associated factors in the Gedeo zone, Southern Ethiopia. Methods: We conducted a community-based cross-sectional study among households in the Yirga Chafe district, Gedeo zone, Southern Ethiopia, from September 10 to 30, 2021. We used a multistage simple random sampling to recruit 537 respondents. We entered data into Epi-Info 7 and exported it to SPSS version 25 for analysis. We used a logistic regression model to determine factors associated with the CBHI scheme membership renewal. Variables with a P value of <0.05 and a 95% confidence level were considered to be significantly associated with the outcome variable. Results: We found the respondents' CBHI membership renewal rate was 82.68%. Those who enrolled in the CBHI scheme >3years (AOR = 3.12; 95% CI: 1.40-6.97), having illnesses in the last three months (AOR = 2.97; 95% CI: 1.47-5.99), the CBHI premium affordability (AOR = 12.64; 95% CI: 3.25-49.38), good knowledge of the CBHI scheme (AOR = 21.11; 95% CI: 10.63-41.93), perceived quality of health service (AOR = 4.21; 95% CI: 1.52-11.68), and favorable attitude towards the CBHI scheme (AOR = 3.89, 95% CI: 1.67-9.04) were significantly associated with the CBHI program membership renewal rate. Conclusion: In our study, we found the magnitude of CBHI members who discontinued their CBHI scheme membership was high. Besides, we found that the affordability of the CBHI premium, respondents' attitude, and knowledge of the CBHI program were predictor factors for dropout from the CBHI membership. Therefore, the government should consider the economic status of communities during setting the CBHI program contribution. Moreover, awareness creation through health education should be provided to improve participants' knowledge and perception of the CBHI program.

Assessment of Households' Willingness to Join and Pay for Improving Waste Management Practices in Gedeo Zone, Southern Ethiopia.

Background: Waste management has become a serious challenge in urban areas of developing countries. However, managing municipal solid waste generated is the most costly urban service and needs community engagement in management of municipal solid wastes. Therefore, this study determined willingness to join and pay for improving solid waste management services and associated factors among households of Gedeo zone, Southern Ethiopia. Method: We performed a community-based cross-sectional study design to assess willingness to join and pay for improved solid waste management and its predictors among residents in Gedeo zone, Southern Ethiopia. Multivariate logistic regression analysis was computed to identify the factors associated with willingness to join and pay for improved solid waste management services. An adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to report an association, and a p < 0.05 was used to declare a statistically significant association. Result: Of 552 study participants, 91.5% (95% CI: 89.2, 93.8) were willing to join and 86.3% (95% CI: 83.3, 89.4) of them were willing to pay for improving solid waste management services. Having a large family size, higher educational status, positive attitude, and good knowledge of waste management services, access to waste management services, and amount of waste generated per week were positively associated with willingness to support improved solid waste management services. In addition, we found that respondents with high educational status, monthly income, who had good knowledge of waste management, access to waste management services, and the amount of waste generated per week were significant predictors of willingness to pay for improved solid waste management. Conclusion: This study found that a significant number of the respondents were willing to support and pay for improved solid waste management services. A higher probability of willingness to support and pay for solid waste management services among residents who had access to waste management services and good knowledge of solid waste management was observed. Therefore, wide-range awareness creation through mini media should be used to address poor knowledge. In addition, establishing more temporary waste collection sites in every corner of cities is needed to encourage households to support and pay for improved solid waste management services.

Assessment of Microbiological Quality of Indoor Air at Different Hospital Sites of Dilla University: A Cross-Sectional Study.

Background: In both residential and hospital indoor environments, humans can be exposed to airborne microorganisms. The hospital's indoor air may contain a large number of disease-causing agents brought in by patients, staff, students, visitors, ventilation, or the outside. Hospitalized patients are at a higher risk of infection due to confined spaces, crowdedness, and poor infection prevention practices, which can accumulate and create favorable conditions for the growth and multiplication of microorganisms. Therefore, the aim of this study was to evaluate the indoor air bacterial load in Dilla University Hospital, Southern Ethiopia. Methods: An institutional-based cross-sectional study design was used to assess the bacterial load in the indoor air at Dilla University Hospital. To determine the bacterial load, a passive air sampling technique was used. The settle plate method was used to collect data, which involved exposing Petri-dishes filled with blood agar media to the indoor air of the sampled rooms for 60 minutes. Result: A total of 72 indoor air samples were collected once a week for 2 weeks at 14-day intervals from 18 rooms in 8 wards, and samples were collected twice a day in the morning and afternoon. The mean bacterial concentrations ranged from 450 to 1585.83 CFU/m3 after 60 minutes of culture media exposure. The mean bacterial concentrations in the obstetrics, surgical, pediatric, gynecology, and medical wards exceeded WHO guidelines. A high indoor air bacterial load was found in 58 (80.6%) of the samples in this study. Gram-positive bacteria in the air were the most common 51 (71%) of the bacterial population measured in all indoor environments. Fungal growth was found in 65 (90.3%) of the samples. Temperatures (26.5°C-28.3°C) and relative humidity (61.1%-67.8%) in the rooms were both above WHO guidelines, creating favorable conditions for bacterial growth and multiplication. Conclusion: The majority of the wards at Dilla University Hospital had bacterial loads in the air that exceeded WHO guidelines. Overcrowding, high temperatures, inadequate ventilation, improper waste management, and a lack of traffic flow control mechanisms could all contribute to a high concentration of bacteria in the indoor air. To control the introduction of microorganisms by patients, students, caregivers, and visitors, it is critical to regularly monitor indoor air bacterial load and implement infection prevention and control measures.

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.

Costs and cost-effectiveness of Gene Xpert compared to smear microscopy for the diagnosis of pulmonary tuberculosis using real-world data from Arsi zone, Ethiopia.

BACKGROUND: Early diagnosis and treatment are one of the key strategies of tuberculosis control globally, and there are strong efforts in detecting and treating tuberculosis cases in Ethiopia. Smear microscopy examination has been a routine diagnostic test for pulmonary tuberculosis diagnosis in resource-constrained settings for decades. Recently, many countries, including Ethiopia, are scaling up the use of Gene Xpert without the evaluation of the cost and cost-effectiveness implications of this strategy. Therefore, this study evaluated the cost and cost-effectiveness of Gene Xpert (MTB/RIF) and smear microscopy tests to diagnosis tuberculosis patients in Ethiopia. METHODS: We compared the costs and cost-effectiveness of tuberculosis diagnosis using smear microscopy and Gene Xpert among 1332 patients per intervention in the Arsi zone. We applied combinations of top-down and bottom-up costing approaches. The costs were estimated from the health providers' perspective within one year (2017-2018). We employed "cases detected" as an effectiveness measure, and the incremental cost-effectiveness ratio was calculated by dividing the changes in cost and change in effectiveness. All costs and incremental cost-effectiveness ratio were reported in 2018 US$. RESULTS: The unit cost per test for Gene Xpert was $12.9 whereas it is $3.1 for AFB smear microscopy testing. The cost per TB case detected was $77.9 for Gene Xpert while it was $55.8 for the smear microscopy method. The cartridge kit cost accounted for 42% of the overall Gene Xpert's costs and the cost of the reagents and consumables accounted for 41.3% ($1.3) of the unit cost for the smear microscopy method. The ICER for the Gene Xpert strategy was $20.0 per tuberculosis case detected. CONCLUSION: Using Gene Xpert as a routine test instead of standard care (smear microscopy) can be potentially cost-effective. In the cost scenario analysis, the price of the cartridge, the number of tests performed per day, and the life span of the capital equipment were the drivers of the unit cost of the Gene Xpert method. Therefore, Gene Xpert can be a part of the routine TB diagnostic testing strategy in Ethiopia.