Related Experiment Video
Updated: Jun 12, 2025

Construction of a Low-cost Mobile Incubator for Field and Laboratory Use
Published on: March 19, 2019
Determinants of Basic Sanitation Service Coverage Among Households in Shashogo District, Hadiya Zone, Central
Temesgen Tefera1, Tsegaye Alemu2, Abraham Alano1
1Department of Public Health, Yanet-Liyana College of Health Sciences, Hawassa, Ethiopia.
Background:
Basic sanitation services and practices are crucial for the well-being and health of a community. However, little is known about the determinants of basic sanitation services in Ethiopia, particularly in the study area.
Objectives:
To identify the determinants of basic sanitation service coverage among households in the Shashogo district, Hadiya Zone, and Central Ethiopia in 2023.
Methods:
A case-control investigation was carried out in households in Shashogo District from August 8, 2023, to December 10, 2023. Ten Kebeles were chosen randomly from a total of 34 Kebeles in the district. A total of 579 households (193 cases and 386 controls) were included in the study. The data were gathered with pretested and structured questionnaires in digital form with a smartphone. The data were analyzed with SPSS. Independent t tests and regression models were used to determine predictors of basic sanitation services.
Results:
The mean (±SD) age of the study participants was 38.2 (±8.9) years. After controlling for confounders in the multivariate analysis, the adoption of improved latrine services among households was found to be associated with greater average monthly income (AOR = 1.841, 95% CI (1.043, 3.251)), the study respondents who had access to the necessary materials for latrine construction/upgrade were approximately 3.5 times more likely to adopt improved latrine services among households with (AOR = 3.477 (95% CI = 1.314, 9.202) than among those who lacked access to the necessary materials for latrine construction, the study respondents who had training in sanitation and hygiene (AOR = 4.744, 95% CI (2.984, 7.542)) and who had sufficient knowledge about the adoption of improved latrine services (AOR = 2.020, 95% CI (1.125, 3.628)) were found to be determinants of the adoption of improved latrine services among households.
Conclusion:
This study revealed that economics, knowledge, attitudes and practices, infrastructure, and culture were identified as determinants of the adoption of improved latrines in the study area. Poor sanitation significantly impacts economic, social, environmental and many other direct and indirect impacts on the well-being of citizens. Therefore, policies on sanitation and contextual initiatives and focused actions are needed by stakeholders and policy implementers to improve knowledge gaps, access to necessary materials and the income capacity of those lagging to adopt services.
Related Concept Videos
Primary Healthcare Services
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Principles of Disease Surveillance
Methods Of Healthcare Delivery System
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Handwashing I: Introduction and Types of Equipment
Hand wash basins in clinical areas should have faucets that can be turned on and off without using the hands; that is, they should be non-touch or lever-operated....
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...

