A Cost Analysis of a Stepped Care Treatment Approach for Anxiety Disorders in Youth.

To address the high demand for youth anxiety treatment, researchers have begun to evaluate stepped care approaches to use limited resources efficiently. Quantifying cost savings can inform policy decisions about optimal ways to use limited resources. This study presents a cost analysis of a stepped care treatment approach for anxiety disorders in youth. Youths (N = 112) completed an 8-session computer-administered attention bias modification treatment (Step 1), and families were given the option to "step up" to cognitive behavioral therapy (CBT; Step 2). Stepped care treatment cost estimates were based on (a) resources used in treatment (i.e., clinician/paraprofessional time, equipment/materials) and (b) Medicaid reimbursement rates for clinician and paraprofessional time. We compared these two cost estimates with a hypothetical standard treatment approach for youth anxiety disorders: CBT only. We also tested predictive models to determine whether they could guide decisions about which youths, based on baseline characteristics, should be assigned to stepped care or directly to CBT only to avoid the costs associated with Step 1. Compared to a hypothetical standard CBT approach, the stepped care treatment was associated with an overall cost savings of 44.4% for the Medicaid reimbursement model and 47.7% for the resource cost model. The predictive models indicated that assigning all youths to stepped care would be more cost-effective than assigning certain youths directly to CBT only. This study provides the first evidence that a stepped care treatment approach for youth anxiety is associated with substantial cost savings compared with a standard CBT.

Assessment and Management of Suicide Risk in Children and Adolescents.

This article presents a pragmatic approach to assessing and managing suicide risk in children and adolescents. We first present general recommendations for conducting risk assessments with children and adolescents, followed by an algorithm for designating risk. Risk assessment and designation should be based on both distal (i.e., a prior history of self-harm behaviors) and proximal (i.e., suicide ideation, plans, intent, and preparations) predictors of suicide attempt. We then discuss safety planning as an easy-to-implement approach for intervening and managing suicide risk when working with children and adolescents. We end with a case example illustrating the implementation of risk assessment, risk designation, and safety planning with an adolescent client and her mother.

Evidence-based assessment of depression in adults.

From diverse perspectives, there is little doubt that depressive symptoms cohere to form a valid and distinct syndrome. Research indicates that an evidence-based assessment of depression would include (a) measures with adequate psychometric properties; (b) adequate coverage of symptoms; (c) adequate coverage of depressed mood, anhedonia, and suicidality; (d) an approach to suicidality that distinguishes between resolved plans and preparations and desire and ideation; (e) assessment of the atypical, seasonal, and melancholic subtypes; (f) parameters of course and chronicity; and (g) comorbidity and bipolarity. These complexities need to be accounted for when certain assessment approaches are preferred, and when ambiguity exists regarding the categorical versus dimensional nature of depression, and whether and when clinician ratings outperform self-report. The authors conclude that no one extant procedure is ideal and suggest that the combination of certain interviews and self-report scales represents the state of the art for evidence-based assessment of depression.