Methods: In Study 1, we will implement a universal suicide risk assessment using a broad range of risk factors with approximately 6,750 youth, ages 12 to 17, who present to participating EDs. We will follow-up a subsample of 30% of these youth, enriched for suicide risk factors, at 3 and 6 months. Based on the risk data gathered, we will develop and calibrate a Computerized Adaptive Screen (CAS) to accurately predict suicide attempt. In Study 2, we will recruit a new sample of approximately 2,000 youths (stratified by suicide risk factors), administer the CAS and Ask Suicide-Screening Questions (ASQ), and follow-up at 3 months with interviews and medical chart reviews. In Study 2 we aim to validate the specificity and sensitivity of the CAS and ASQ for predicting suicide attempts, and to evaluate the performance of the Implicit Association Test (IAT). The study will be conducted in the Pediatric Emergency Care Applied Research Network (PECARN) and at the Whiteriver PHS Indian Hospital ED.
CONCLUSION: The optimal screen developed in this collaborative project will have the potential to be disseminated nationwide to enhance the capacity of emergency departments to identify and effectively triage youth at acute risk for suicide attempts. Regarding potential policy implications, the CAS screening strategy is expected to be brief and highly feasible, to require computer-based screening, and to yield useful clinical triage information.