Implementation of the Pediatric Emergency Care Applied Research Network (PECARN) Traumatic Brain Injury Prediction Rules Using Computerized Clinical Decision Support: An Interrupted Time Series Trial
Implementation of the Pediatric Emergency Care Applied Research Network (PECARN) Traumatic Brain Injury Prediction Rules Using Computerized Clinical Decision Support: An Interrupted Time Series Trial
Blunt head trauma (BHT) accounts for >450,000 emergency department (ED) visits for children annually in the US. Fortunately, >95% of head trauma in children is minor in nature. Although most children have minor head trauma, clinicians obtain cranial CTs in 35-50% of these children, which carries a radiation risk of malignancy. Recently, the investigators conducted a study of 44,000 children in the Pediatric Emergency Care Applied Research Network (PECARN) in which the investigators developed and validated clinical prediction rules that identify which children with minor BHT are at very low risk of having clinically-important traumatic brain injuries (TBI) and, therefore, do not require a CT scan. In this proposal, the investigators aim to assess whether implementing the PECARN TBI prediction rules (one for preverbal, one for verbal children) via computerized clinical decision support (CDS) decreases the number of (unnecessary) cranial CT scans obtained by ED physicians for children with minor BHT at very low risk of clinically-important TBIs. After a two-site pilot phase to test and refine the CDS, the investigators will conduct a seven-center prospective trial. The investigators will measure cranial CT use prior to and after the intervention implementation of CDS and clinician education. The investigators will study the use of CT by practitioners for children <18 years for 12 months pre- and post-intervention.
Clinicians:
Our target study population includes clinicians with training in pediatrics (particularly pediatric emergency medicine)or general emergency medicine. As clinical practice is likely to vary among physicians with different training and in different settings, we will include two types of sites for this trial:
Patients:
Inclusion:
Exclusion:
Patients who have any of the following: