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

J Youth Adolesc. 2018 Nov;47(11):2320-2336. doi: 10.1007/s10964-018-0888-4. Epub 2018 Jul 4.

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.

Keywords: Latent profile analysis; Treatment; Usual care.

MeSH terms

  • Adolescent
  • Child
  • Child, Preschool
  • Community Health Services / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Mental Disorders / therapy*
  • Mental Health / statistics & numerical data*
  • Mental Health Services / statistics & numerical data*
  • Parents
  • Severity of Illness Index
  • Treatment Outcome