513
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

The Scottish children's hearings tribunals system: a better forum for parents with learning disabilities?

&
Pages 255-266 | Published online: 10 Nov 2011
 

Abstract

Parents with learning disabilities are over-represented in child care proceedings and are more likely to lose their children to state care. Evidence from Anglophone countries suggests that the adversarial forum of the court disadvantages these parents and limits their direct participation in the process. This exploratory study examines whether the Scottish children's hearings tribunal system could promote greater responsiveness to parental needs and support fuller direct participation in decisions about the welfare of their child. Views were not unanimous but on balance, potential for the parental voice to be heard was found and the support of lay advocates was key. The findings point to deficits in legal representation, underscoring the importance of structured time and skill in communicating with people with learning difficulties as a pre-requisite for the effectiveness of legal representation provisions for parents.

Acknowledgements

The authors would like to express their thanks to all the participants in the study.

Additional information

Notes on contributors

Janice McGhee

Janice McGhee is Senior Lecturer in Social Work

Susan Hunter

Susan Hunter is Honorary Fellow in Social Work at the University of Edinburgh.

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 324.00 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.