Knowledge, Attitude and Practices on Bed Net Usage among Communities in Cherangany Sub-County, Kitale, Kenya

Abstract

BACKGROUND Globally, vector-based malaria control programs, such as insecticide-treated nets (ITNs) play an essential role in reducing malaria infections. Despite evidence of their effectiveness when properly and consistently used, usage still lags. The study investigated knowledge, attitudes, and practices towards insecticide-treated nets utilisation among communities in Cherangany Sub County, Trans-Nzoia County.

METHODS This cross-sectional study was conducted in the Charangany sub-county, and 326 respondents were recruited for the study. Quantitative data were collected by interviewer-administered questionnaires, and data were analysed using STATA version 15. Data were presented using frequencies and percentages. Linear correlations were used to determine associations between the dependent variable and independent variables, and Regression analysis was carried out to test whether the independent variables were predictors of net usage.

RESULTS Academic achievement and educational resources showed a strong correlation with net usage (r = 0.746, p < 0.01). Knowledge, attitudes, and practices (β = 0.41, p = 0.021) and socio-economic factors (β = 0.296, p = 0.010) were also significant predictors. Individual characteristics had the strongest correlation (r = 0.872). Marital status and urban residence (β = 0.372, p = 0.000) were key predictors. Standardised results ranked knowledge (β = 0.421) highest, followed by education (β = 0.308) and socio-demographics (β = 0.291). These findings highlight education and socio-economic factors as critical for ITN adoption. Low-income households, lower education levels, and employment status were associated with lower bed net usage.

CONCLUSIONS The study highlighted education and socioeconomic status as major influences on insecticide-treated net use. We also noted the important roles of individual factors like marital status and urban residence. These findings indicate that improving bed net utilisation may require both broad public education and targeted interventions for specific groups.