Who Benefits from Community Mental Health Care? Using Latent Profile Analysis to Identify Differential Treatment Outcomes for Youth.

Treatment effectiveness has been shown to vary across subgroups of youth based on characteristics such as comorbidity, problem severity, gender, and age. The current study aims to explore if subgroups of youth, identified by applying latent profile analysis to parent-reported symptoms, age, and gend...

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Detalles Bibliográficos
Publicado en:Journal of Youth & Adolescence Vol. 47; no. 11; pp. 2320 - 2337
Autores principales: Bonadio, F. Tony, Tompsett, Carolyn
Formato: Artículo
Publicado: Springer Nature Nov2018
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Treatment effectiveness has been shown to vary across subgroups of youth based on characteristics such as comorbidity, problem severity, gender, and age. The current study aims to explore if subgroups of youth, identified by applying latent profile analysis to parent-reported symptoms, age, and gender, are better served by specific usual care services. Archival data from a community mental health center were utilized, including parent-reports of symptoms for 953 youth (44.4% female; ages 4-18) across multiple time-points, and services received. Latent profile analysis identified five subgroups including Low Risk, High Risk, Internalizing, Externalizing, and Delinquent/Depressed. The relationship between the intensity level of services and symptoms varied across subgroups. Specifically, high intensity services were related to a greater reduction in symptoms for the Internalizing, Externalizing, and High Risk subgroups. Implications for future developmental research and clinical applications are discussed.