346
Views
20
CrossRef citations to date
0
Altmetric
Articles

Early Identification of Seclusion and Restraint Patterns During Adolescents' Course of Residential Treatment

, , , , , & show all
Pages 160-174 | Published online: 16 Aug 2010
 

Abstract

Early identification of youth who will exhibit the most challenging behavior during the course of a residential stay would allow clinicians to allocate limited resources to best manage these youth. Seclusion/restraint procedures were examined for 156 youth in two public residential facilities from July 2000–September 2005. Few seclusion/restraints occurred in the first month, but this peaked in months two and three. Youth subgroups with different trajectories for the frequency of seclusion/restraint use were distinguishable by the first 60 days. By the second month in residence clinicians can identify youth who will continue to exhibit challenging behavior.

We are grateful for the support of: Dr. Brian Hepburn, Director, Maryland Mental Hygiene Administration (MHA); Child Mental Health Institute for Children and Adolescents (Gayle Jordan-Randolph, MD, Jean Smith, MD, Holly Sikoryak, MD, David Horn, MD [MHA]; Eileen Hansen, LCSW, Ruth Anne McCormick, RN, C., DNSc, [University of Maryland]; and Jane Walker [Maryland Coalition of Families for Children's Mental Health]). The authors are grateful to Sarah Davarya for her assistance with the data collection. This work was made possible through the financial support of the Maryland Mental Hygiene Administration.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 384.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.