Individual and community level predictors of women's autonomy in health care decision-making among youth in East African countries: a multilevel analysis

ObjectiveThe autonomy of young women in healthcare decision-making has been reported to be lower, particularly in low-income and middle-income countries. This study was conducted to estimate the magnitude and the factors associated with autonomy in healthcare decision-making among youth in East African countries. Design and settingA population-based, cross-sectional study was conducted with data from the most recent Demographic and Health Surveys conducted in 11 East African countries (Burundi, Ethiopia, Kenya, Comoros, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe) conducted from 2011 to 2019. ParticipantsWeighted sample of 24 135 women aged 15-24 years. Primary outcomesHealthcare decision-making autonomy. MethodsA multi-level logistic regression model was used to identify factors associated with women's autonomy in making decisions about their healthcare. Statistical significance was determined using an adjusted OR with 95% CI at a p value less than 0.05. ResultsHealthcare decision-making autonomy among youth in East Africa was 68.37% (95% CI 68%, 70%). In a multivariable analysis older aged youths (20-24 years) (adjusted OR (AOR)=1.27; 95% CI 1.19, 1.36), youths having an occupation (AOR=1.34; 95% CI 1.25, 1.53), having employed husband (AOR=1.12 95% CI 1.00, 1.26), exposure to media (AOR=1.18 95% CI 1.08, 1.29), rich wealth index 1.18 (AOR=1.18 95% CI 1.08, 1.29), female household head, youths having secondary and higher education, youths whose husband had secondary and higher education, and country were significant predictors of healthcare decision making autonomy. ConclusionAlmost one-third of young women have no autonomy in healthcare decision-making. Older youth, being educated, having an educated husband, having an occupation, having an employed husband, exposure to media, female household head, rich wealth index and country are significant predictors for being autonomous in healthcare decision-making. Public health interventions should target uneducated and unemployed youth, poor families and those without media exposure to increase autonomy in health decisions.