Evidence on WASH interventions in Negelle-Arsi District, Oromia Regional State, Ethiopia: a cross-sectional data analysis
Teshome, W. F.; Edao, B. Y.
Show abstract
BACKGROUND: Integrated WASH interventions are essential for improving public health by increasing access to safe water, sanitation, and hygiene services. This study evaluates their impact on water access and household knowledge, attitudes, and practices (KAP) in rural communities by comparing intervention and non-intervention areas. METHODS: A cross-sectional survey was conducted in May 2025 across six kebele administrations (three intervention and three control). Data were collected from 396 households with children under five using structured questionnaires, with equal representation from both groups. Descriptive analysis was applied to compare outcomes. RESULTS: Children in intervention areas experienced significantly lower diarrhea rates (2.5% vs. 34.9%). Households also showed improved health behaviors, including higher rates of facility births (88.9% vs. 63.6%), breastfeeding (98% vs. 89.9%), and vaccination (78.8% vs. 59.1%). Access to safe water improved markedly: all intervention households used protected sources, spent less time collecting water (13.9 vs. 55.8 minutes), and consumed more water daily (20.6 vs. 10.5 liters). Safely managed water services reached 59.6% compared to just 1% in control areas. Sanitation and hygiene practices were also better, with higher latrine access (95% vs. 78.3%), reduced open defecation (23.2% vs. 52%), and increased handwashing with soap (48.5% vs. 12.1%). Knowledge, attitudes, and practices were significantly stronger in intervention communities. CONCLUSION: Integrated WASH interventions significantly improve water access, hygiene practices, and child health outcomes. Sustaining these benefits requires continued investment in infrastructure, community awareness, and behavior change programs. KEY WORDS: Water, sanitation and hygiene, KAP, rural Ethiopia
Matching journals
The top 3 journals account for 50% of the predicted probability mass.