Introduction: Despite advancements in food science and technology, foodborne disease remains one of the major public health problems. Poor sanitation and hygiene conditions of food establishments are the major causes for the occurrence of foodborne disease. Therefore, this study aimed to investigate core determinants of sanitation and hygiene status among food establishments. Methods: Institution-based cross-sectional study design was conducted in Addis Ababa city. A stratified random sampling technique was deployed to select 413 study participants. Data were collected through interview and using observational checklist. Sample size was determined by using a single population proportion formula. To analyze the data, binary logistic regression and multivariable logistic regression analysis was conducted. In all analysis, P-value less than .05 were considered statistically significant. Results: The study revealed that 57.4% of the food establishments were under poor sanitation status. In the multivariable analysis, presence of trained managers on hygiene and sanitation (adjusted odds ratio [AOR] = 6.10 with 95% confidence interval [CI]: 2.41-15.45), presence of renewed licenses (AOR = 3.07 with 95% CI: 1.18-7.99), absence of bureaucratic function to obtain permission to renew the food establishment buildings (AOR = 2.43 with 95% CI: 1.25-4.70), and presence of at least 10-m distance between toilet and kitchen (AOR = 9.19, at 95% CI: 5.63-15.02) were associated significantly with sanitation and hygiene status. Conclusions: Above average of the food establishments were found to be in poor sanitation and hygiene state. Many core determinant factors that influence sanitation and hygienic status of food establishments were identified. The researchers suggest that formal training on sanitation and hygiene for managers of food establishments should be provided to reduce the occurrence of foodborne diseases. Moreover, strong food and water safety policy and strategy should be promulgated to improve sanitation and hygiene status of food establishments.

Background: In Addis Ababa, the capital of Ethiopia, the urban health extension program was started in 2009. Its approach is based on the assumption that access to and quality of primary health care in urban communities can be improved through transfer of health knowledge and skills to households. The study was conducted to assess the status of urban health extension service utilization and associated factors.Methods: A community based cross–sectional study was conducted to collect data from 628 participants. Sample size was determined by using a single population proportion formula. Binary logistic regression was used for data analysis.Results: The proportion of community utilization of the urban health extension program was found to be 86%. Respondents’ odds of utilizing urban health extension services among those who participated in the planning of urban health extension program activities were 2.8 (AOR=2.8; 95% CI: 1.43-3.70) times the odds of those who did not participate. The household respondents who utilized toilet with hand washing facilities had odds of utilizing urban health extension services that are higher by 2.62 (AOR=2.62 with 95% CI: 1.70-9.77) compared to those not utilizing toilet with hand washing facilities.Conclusions: The study provided important information regarding to the status of community utilization of urban health extension services. Respondents who utilized toilet with hand washing facilities were higher among the respondents who utilized and implemented the urban health extension packages. Respondents who participated in the planning of urban health extension program activities were those who significantly utilized and implemented the urban health extension program.

The study aimed to assess the determinants of drinking-water quality and sanitary risk levels of water storage. An institution-based cross-sectional study was conducted. One hundred and twenty-five drinking-water samples were collected directly from food outlets' drinking-water storages. Observational checklist was used to assess sanitary risk levels of the storages. Data analysis was conducted using multivariable logistic regression. Type of primary source of drinking-water, having continuous piped water, type of drinking-water storage equipment, drinking-water storage having a lid/cover, method of drinking-water drawn from the water storages, presence of any method of drinking-water treatment, and having functional hand-washing facility with soap near the toilet were identified as major determinant factors. This study revealed that nearly 30% of the food outlets' drinking-water was not microbiologically safe. As a result, these establishments could be a source of different health problems for their customers. In the study, many determinant factors that affect drinking-water quality of the food outlets were identified. As well, 16.3% and 18.7% of the food outlet drinking-water storages were grouped into high and very high contamination risk levels, respectively. Therefore, the existing regulatory body should force the food outlets to have effective hand-washing practices, clean, suitable drinking-water storage, and to avoid dipping practice.

Access to basic water, sanitation and hygiene services is the most effective mechanism to reduce many infectious diseases. WASH in schools related to better educational outcomes although adequate water, sanitation, and hygiene services were unavailable to millions of school-age children in Ethiopia. Therefore, it is crucial to assess the level of WASH coverage and identify factors affecting access to basic water, sanitation, and hygiene services. A cross-sectional study was carried out among 82 school facilities. A structured questionnaire and an observational checklist were used to gather the data. Water samples were taken from the schools' water storage. Descriptive and multivariable logistic regression analyses were used to analyze the data. In this study, 74.7%, 61. 3% and 37.3% of the schools had access to basic drinking water, sanitation, and hygiene services, respectively. Additionally, 21.3%, 29.4%, and 30.7% of the schools had access to limited drinking water, sanitation, and hygiene services, respectively. However, 4%, 9.3%, and 32% of the schools lacked water, sanitation, and hygiene services, respectively. We discovered that schools with male heads were 7% less likely to have access to basic hygiene services (AOR = 0.07 with 95% CI 0.01–0.5) than those with female directors. In addition, schools with hygiene and environmental health clubs had an 11.8-fold higher access rate to basic hygiene services (AOR = 11.8 with 95% CI 1.35–104) than schools without such clubs. Besides, schools that conduct WASH lessons at least once a week were 8.63 times more likely to use basic hygiene services (AOR = 8.63; 95% CI 1.18–63.22) than schools that did not. This study offers scientific evidence that could be used for sound decisions to fill the school WASH gaps. This is a unique study in determining the level of WASH coverage and identifying factors affecting access to basic hygiene services. The investigation provides some insights into how access to WASH services can be improved at the grassroots level. Federal and regional governments should implement effective interventions that assist schools to attain Sustainable Development Goal 6 by 2030. School administrators and other partner organizations should take proactive measures to enhance and maintain the WASH services.

The study aimed to determine the status of microbial load of drinking water and seasonal variation of water quality. Institution-based longitudinal study was conducted. 1,141 food establishments were divided in to slum and non-slum areas based on their location. Moreover, they were categorized as large and small food establishments. Then, 125 food outlets were selected using a simple random sampling technique. From the selected food outlets, 250 drinking water samples were collected directly from the drinking water storage in the rainy and the dry seasons. Data analysis was conducted using a repeated-measure ANOVA statistical model. The finding indicated that, 26.4% and 10.7% of the food establishments' drinking water was positive for Escherichia coli in the wet and the dry season, respectively. Moreover, 3.2% and 1.6% of the food establishments' drinking water had very high health risk to customers during the wet and the dry season, respectively. The drinking water at the point of use was found to be vulnerable to microbiological contamination and had a serious health risk. Therefore, good sanitation and proper handling of drinking water, and effective drinking water treatment such as disinfection and filtration should be practiced in all food establishments.

No abstract

No abstract

Reducing inequalities in all its forms is one of the key principles of the Sustainable Development Goal (SDG). However, the 2030 SDG Agenda has been a real challenge in addressing inequalities in Water, Sanitation, and Hygiene (WASH) services. There is a disparity in the use of WASH services in Ethiopia. Therefore, this study aimed to identify demographic factors affecting the use of Joint Monitoring Program (JMP) ladders for WASH services. In this study, a total of 5350 households were included. Households having heads with vocational education levels were 2.9 times higher in use of basic drinking-water services ((Adjusted Odds Ratio (AOR) = 2.9 with 95% CI 1.6–5.1) than household having heads who could not read and write. Besides, households living in urban areas were 21.7 times more likely to use basic drinking-water services (AOR = 21.7 with 95% CI 16–30) than in rural parts. Further, households with merchants’ heads were 2.1 times higher to use basic sanitation services (AOR = 2.1 with 95% CI 1.5, 3.1) than households with farmers’ heads. Moreover, households having higher monthly income per head were 2.9 times higher in utilizing basic sanitation services (AOR = 2.9 with 95% CI 2.32–3.58) than the poorest households. Similarly, households with female heads were 1.5 times higher in using the JMP ladder for basic hygiene services (AOR = 1.5 with 95% CI 1.24–1.71) than households with male heads. Additionally, respondents who live in urban areas had 2.8 times higher use of basic hygiene services (AOR = 2.8 with 95% CI 2.26–3.54) than those in rural areas. Many demographic factors that influence the use of the JMP ladders for water, sanitation, and hygiene services were identified. The use of surface water, open defecation practice, unimproved sanitation, and no hygiene services were positively associated with illiteracy. The findings suggest that state authorities should initiate firm WASH policies and strategies to achieve the SDG 6 and 10. Additionally, the government should apply effective WASH interventions that consider demographic disparities.