RESUMO
OBJECTIVE: To examine short-term (i.e., postintervention) outcomes from a randomized controlled trial comparing a school-based telehealth-delivered depression prevention program, Interpersonal Psychotherapy-Adolescent Skills Training (IPT-AST), to services as usual (SAU). We expected IPT-AST would be acceptable and feasible and that IPT-AST adolescents would experience greater reductions in depression symptoms, anxiety symptoms, and impairment compared with SAU. METHOD: Adolescents (N = 242; Mage = 14.80 years, SD = 0.70; 65% female; 21% Black; 13% Hispanic/Latinx) with elevated scores on the Center for Epidemiologic Studies Depression Scale (Radloff, 1977) at screening provided data at baseline, 2-month (midpoint of IPT-AST), and 3-month (postintervention) assessments. They reported depression symptoms on the Center for Epidemiologic Studies Depression Scale, anxiety symptoms on the Screen for Child Anxiety Related Emotional Disorders (Birmaher et al., 1997), and impairment on the Columbia Impairment Scale (Bird et al., 1993). Baseline depression diagnosis was examined as a moderator. RESULTS: Hierarchical linear models showed that adolescents reported significant reductions in depression symptoms and impairment across conditions. IPT-AST adolescents reported significantly greater reductions in anxiety symptoms than SAU adolescents, d = .39, 95% CI [.05, .72], p = .003. Depression diagnosis moderated outcomes (ds = .33-.34, ps ≤ .05), such that IPT-AST adolescents without a diagnosis at baseline showed greater improvements in depression and anxiety symptoms than SAU adolescents. Adolescents in SAU with a depression diagnosis at baseline showed greater improvements in impairment compared with IPT-AST. Attendance and satisfaction data demonstrated the feasibility and acceptability of telehealth-delivered IPT-AST. CONCLUSIONS: Results support telehealth-delivered IPT-AST as a promising intervention for improving short-term outcomes among adolescents with depression symptoms but without a depression diagnosis. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
RESUMO
OBJECTIVE: To understand adolescent, parent, and provider perceptions of a machine learning algorithm for detecting adolescent suicide risk prior to its implementation primary care. METHODS: We conducted semi-structured, qualitative interviews with adolescents (n = 9), parents (n = 12), and providers (n = 10; mixture of behavioral health and primary care providers) across two major health systems. Interviews were audio recorded and transcribed with analyses supported by use of NVivo. A codebook was developed combining codes derived inductively from interview transcripts and deductively from implementation science frameworks for content analysis. RESULTS: Reactions to the algorithm were mixed. While many participants expressed privacy concerns, they believed the algorithm could be clinically useful for identifying adolescents at risk for suicide and facilitating follow-up. Parents' past experiences with their adolescents' suicidal thoughts and behaviors contributed to their openness to the algorithm. Results also aligned with several key Consolidated Framework for Implementation Research domains. For example, providers mentioned barriers inherent to the primary care setting such as time and resource constraints likely to impact algorithm implementation. Participants also cited a climate of mistrust of science and health care as potential barriers. CONCLUSIONS: Findings shed light on factors that warrant consideration to promote successful implementation of suicide predictive algorithms in pediatric primary care. By attending to perspectives of potential end users prior to the development and testing of the algorithm, we can ensure that the risk prediction methods will be well-suited to the providers who would be interacting with them and the families who could benefit.