When is Sessional Monitoring More Likely in Child and Adolescent Mental Health Services?

Adm Policy Ment Health. 2016 May;43(3):316-24. doi: 10.1007/s10488-016-0725-6.

Abstract

Sessional monitoring of patient progress or experience of therapy is an evidence-based intervention recommended by healthcare systems internationally. It is being rolled out across child and adolescent mental health services (CAMHS) in England to inform clinical practice and service evaluation. We explored whether patient demographic and case characteristics were associated with the likelihood of using sessional monitoring. Multilevel regressions were conducted on N = 2609 youths from a routinely collected dataset from 10 CAMHS. Girls (odds ratio, OR 1.26), older youths (OR 1.10), White youths (OR 1.35), and youths presenting with mood (OR 1.46) or anxiety problems (OR 1.59) were more likely to have sessional monitoring. In contrast, youths under state care (OR 0.20) or in need of social service input (OR 0.39) were less likely to have sessional monitoring. Findings of the present research may suggest that sessional monitoring is more likely with common problems such as mood and anxiety problems but less likely with more complex cases, such as those involving youths under state care or those in need of social service input.

Keywords: Adolescent; CAMHS; Case complexity; Child; Sessional monitoring.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Health Services / statistics & numerical data*
  • Anxiety Disorders / therapy
  • Black People / statistics & numerical data
  • Child
  • Child Health Services / statistics & numerical data*
  • England
  • Ethnicity / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Mental Disorders / therapy*
  • Mental Health Services / statistics & numerical data*
  • Mood Disorders / therapy
  • Multilevel Analysis
  • Outcome and Process Assessment, Health Care / statistics & numerical data*
  • Regression Analysis
  • Sex Factors
  • White People / statistics & numerical data