Prevalence and Correlates of Water, Sanitation, and Hygiene (WASH) and Spatial Distribution of Unimproved WASH in Nepal

This study aims to estimate the prevalence and correlation of household levels of water, sanitation, and hygiene (WASH), including the identification of areas where WASH facilities are unimproved in Nepal. The study population was 11,040 household heads, using the data collected in the Nepal Demographic and Health Survey 2016. Logistic regression analysis was performed and crude odds ratios (OR) with 95% confidence intervals (CI) using a 0.05 significance level are presented. Getis-Ord Gi* statistics were used to identify the hot and cold spot areas of unimproved WASH. GPS locations of WASH points were used for spatial analysis. Approximately 95% of households had an improved water source, 84% had improved sanitation facilities, 81% had a fixed place for handwashing, and 47% had soap and water. Education, wealth, and ecology were significantly associated with WASH. The people from the hills were less likely to have an improved water source (OR = 0.32; 95% CI: 0.16-0.64) than those from the plain. Households with a poor wealth index had 78% lower odds of having an improved water source compared to households with a rich wealth index. Respondents from Madhes Province had lower odds (OR = 0.15; 95% CI: 0.08-0.28) and Gandaki Pradesh had the highest odds (OR = 2.92; 95% CI: 1.52-5.61) of having improved sanitation facilities compared to Province 1. Respondents aged 35-44 years had higher odds (OR = 1.16; 95% CI: 1.04-1.29) of having soap and water available compared to those aged 45 years and older. Education and geographical disparities were the factors associated with having reduced access to WASH. These findings suggest the need to focus on advocacy, services, and policy approaches.

Automated summary

This study aims to estimate and identify the prevalence and correlation of household levels of water, sanitation, and hygiene (WASH) in Nepal. The findings show that education, wealth, and geography are significantly associated with WASH. Furthermore, there are disparities in the prevalence of improved WASH facilities among different regions in Nepal.