Abstract:
Background; Four billion cases of diarrhea occur annually, of which more than 85% is attributable to unsafe water and inadequate hygiene and sanitation. Two million people die every year from diarrheal disease; the majorities are children under five. Water borne diseases are major public health problem in developing countries. Unless potable water for drinking, dirty water is major pathway in to the body for contaminants
Objectives; To assess household water treatment practice and associated factors in Adea Berga district, central Ethiopia.
Method; A community-based cross-sectional study was conducted from September -20 to October-20- 2022 to describe household water treatment practice and associated factors in Adea Berga district central Ethiopia. Stratified sampling technique was used to select (571) sample household in this study area. The data were collected by face-to-face interview using pre-tested structured questionnaire and observation methods. The collected data were checked for completeness entered to Epi Data version3.1 and exported to SPSS version 23 for cleaning and further analysis. Binary logistic regression analysis was done to see the association between each predictable variable and household water treatment practice with p-value < 0.25. To control for confounding variables in the bivariate analysis, a multivariate analysis was run. Adjusted odds ratio with 95% confidence interval was computed to see statistical significance with P-value < 0.05.
Result; The study revealed that, 146(26.6%): [95% CI: 23.2 – 30.5] households treat water before they use it .Secondary education and above(AOR= 2.926, 95% CI= 1.890 – 4.732), monthly income who earn >1000EBper month(AOR= 1.75, 95% CI=1.144, 2.694)and household who have good knowledge on water treatment practice (AOR= 5.514, 95% CI = 3.258 – 9.322) were factors significantly associated with household water treatment.
Conclusion and recommendation; Household water treatment practice in the study area was low. Safe drinking water coverage is low. Education, income and knowledge of the respondent are associated factors statistically significant with household water treatment practice.
