This study is a combination of a diagnostic and an intervention study. In a previous study, our research team constructed a decision tree, based on signs and symptoms, to identify serious infections in acutely ill children in primary care. This decision tree had an excellent sensitivity of 97% for the detection of serious infections, but would have lead to 12% of all acutely ill children to be referred, which is unacceptably high.