Cross-sectional study to predict subnational levels of health workers' knowledge about severe malaria treatment in Kenya.

Objectives: This study applied a Bayesian hierarchical ecological spatial model beyond predictor analysis to test for the best fitting spatial effects model to predict subnational levels of health workers' knowledge of severe malaria treatment policy, artesunate dosing, and preparation.

Setting: County referral government and major faith-based hospitals across 47 counties in Kenya in 2019.

Design And Participants: A secondary analysis of cross-sectional survey data from 345 health workers across 89 hospitals with inpatient departments who were randomly selected and interviewed.