Seven prehospital stroke tool studies found variations in quality, sensitivity, and specificity, thus resulting in a potential stroke identification error rate of up to 30%, which results in delayed stroke treatment.
Evidence suggests that uSS, female sex, and race are associated with delayed stroke recognition, treatment, misdiagnosis, and poor patient outcomes.