Affordable Access

deepdyve-link
Publisher Website

Predicting Dropout from Children's Mental Health Services: Using a Need-Based Definition of Dropout.

Authors
  • Dossett, Kimberly W1
  • Reid, Graham J2, 3, 4, 5
  • 1 Department of Psychology, Western University, London, Canada. [email protected] , (Canada)
  • 2 Department of Psychology, Western University, London, Canada. , (Canada)
  • 3 Department of Family Medicine, Western University, London, Canada. , (Canada)
  • 4 Department of Paediatrics, Western University, London, Canada. , (Canada)
  • 5 Children's Health Research Institute, London, Canada. , (Canada)
Type
Published Article
Journal
Child Psychiatry & Human Development
Publisher
Springer-Verlag
Publication Date
Feb 01, 2020
Volume
51
Issue
1
Pages
13–26
Identifiers
DOI: 10.1007/s10578-019-00906-4
PMID: 31289986
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Dropout from children's mental health services has negative impacts on children, families and service providers. To target interventions aimed to reduce dropout, it is essential to predict individuals who drop out. This study compares predictors of dropout using a novel need-based definition, to existing definitions of dropout. Children (N = 650; 61% male) aged 5-13 attended five children's mental health agencies in Ontario. A mixed effects logistic regression was used to model binary outcome variables (i.e., dropout or treatment completion), for each definition of dropout. Using the need-based definition, older child age, lower child problem presentation, higher child risk behaviors, higher caregiver needs, and more child strengths predicted an increased likelihood of dropout. The need-based definition results in different predictors of dropout than existing definitions in the literature. High caregiver needs was the only predictor of dropout across all definitions. Caregiver needs represent a prospective target when distributing interventions aimed to reduce dropout.

Report this publication

Statistics

Seen <100 times