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04-07-2018 | Empirical Research

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

Auteurs: F. Tony Bonadio, Carolyn Tompsett

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 11/2018

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Abstract

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.
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Metagegevens
Titel
Who Benefits from Community Mental Health Care? Using Latent Profile Analysis to Identify Differential Treatment Outcomes for Youth
Auteurs
F. Tony Bonadio
Carolyn Tompsett
Publicatiedatum
04-07-2018
Uitgeverij
Springer US
Gepubliceerd in
Journal of Youth and Adolescence / Uitgave 11/2018
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI
https://doi.org/10.1007/s10964-018-0888-4

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