Willingness to pay for improvements in rural sanitation: Evidence from a cross-sectional survey of three rural counties in Kenya.

Poor sanitation worldwide leads to an annual loss of approximately $222.9 billion and is the second leading cause of Disability-Adjusted Life Years (DALY's) lost due to diarrhoea. Yet in Kenya, the slow rate and levels at which the household's access improved sanitation facilities remain a concern, and it is unknown if the cost of new technologies is a barrier to access. This study assessed the maximum willingness to pay (WTP) for SAFI and SATO sanitation products and identified those factors that affect the willingness to pay (WTP) valuation estimates by households in three counties in Kenya. It used quantitative economic evaluation research integrated within a cross-sectional survey. Contingent valuation method (CVM) was used to determine the maximum WTP for sanitation in households. We used the logistic regression model in data analysis. A total of 211 households were interviewed in each county, giving a total sample size of 633 households. The mean WTP for SAFI latrines was $153.39 per household, while the mean WTP for SATO pans and SATO stools was $11.49 and $14.77 respectively. For SAFI latrines, households in Kakamega were willing to pay $6.6 more than average while in Siaya, the households were willing to pay $5.1 less than the average. The main determinants of households WTP for the two sanitation products included household's proximity to the toilet (p = 0.0001), household income (ß = .2245741, p = 0.004), sanitation product (ß = -2968.091; p = 0.004), socioeconomic status (ß = -3305.728, p = 0.004) and a household's satisfaction level with the current toilet (ß = -4570.602; p = 0.0001). Increased proximity of households to the toilet, higher incomes, and providing loan facilities or subsidy to poor households could increase the demand for these sanitation technologies.

Assessing Comorbidity of Diarrhea and Acute Respiratory Infections in Children Under 5 Years: Evidence From Kenya's Demographic Health Survey 2014.

Background: Kenya is one among the 15 countries that account for three-quarters of the global mortality burden due to diarrhea and respiratory tract infections (RTIs). Comorbidity of diarrhea and acute respiratory infection (ARI) can either be simultaneous (both occurring at the same time) or sequential (where the occurrence of one leads to the occurrence of the other. This study aimed to determine the shared risks that influence comorbidity of diarrhea and RTIs among Kenya's children younger than 5 years. Methods: The study entailed an analysis of secondary data from the Kenya Demographic Health Survey (DHS) 2014 using STATA Corp 2010. Descriptive analysis of independent variables and logistic regression model was used to analyze risk factors associated with comorbidity from diarrhea and ARI in children <5 years. Results: A total of 18 702 children <5 years were in the study out of whom 411 had comorbidity from diarrhea and ARI in the 2 weeks prior to the survey. Comorbidity peaked at 6 to 11 months (4.6%). Child's age between 6 and 11 months (adjusted odds ratio [aOR] = 3.48, 95% CI = 2.02-5.99) and caregivers with incomplete primary education (aOR = 1.66, 95% CI = 1.11-2.50) were associated with higher odds of comorbidity from diarrhea and ARI. The main determinants associated with lower odds of combined morbidity from diarrhea and ARI were high wealth quintile (aOR = 0.58, 95% CI = 0.39-0.85) and older aged caregivers (aOR = 0.47, 95% CI = 0.23-0.95). However, we found no association between nutritional status of a child, sex, residence, exclusive breastfeeding between 0 and 6 months, and combined morbidity from diarrhea and ARI. Conclusion: Programs aimed at reducing comorbidity should target children between 6 and 11 months and deliberate emphasis should be placed on addressing barriers to wealth and caregivers' education.

Disease burden and risk factors of diarrhoea in children under five years: Evidence from Kenya's demographic health survey 2014.

OBJECTIVE: This study aimed at examining the socio-demographic, environmental and behavioural determinants of diarrhoea in children under five years in Kenya. METHODS: The study entailed an analysis of secondary data from the Kenya Demographic Health Survey (DHS) 2014 using STATA Corp 2010. A total of 19,889 children <5 years were in the study, out of whom 2,906 had diarrhoea in the last two weeks prior to the survey. Descriptive analysis of independent variables and logistic regression model was used to analyse risk factors associated with diarrhoea in children <5 years. RESULTS: The most significant risk factors (p < 0.05) associated with diarrhoea morbidity in children <5 years were child age (AOR 2.26 95% CI 1.64, 3.11), low level of caregiver's education (AOR 1.45 95% CI 1.11, 1.90) and unsafe disposal of children's faeces (AOR 1.29 95% CI 1.03, 1.61). Wealthier households (AOR 0.83 95% CI 0.68, 1) were protective for diarrhoea in children <5 years. CONCLUSION: Increasing caregiver education, wealthier households and promoting hygienic behaviours in poor households were associated with reducing diarrhoea. Programmes aimed at reducing diarrhoea may achieve better results in targeting caregivers with children in high risk age cohorts of 6-23 months.