895
Views
19
CrossRef citations to date
0
Altmetric
Forensic Applications

Cognition and Competency Restoration: Using the RBANS to Predict Length of Stay for Patients Deemed Incompetent to Stand Trial

, , &
Pages 150-165 | Received 13 Jul 2014, Accepted 05 Jan 2015, Published online: 04 Feb 2015
 

Abstract

Intact cognition is a foundational component of one’s ability to be competent to stand trial. Given the cost of assessing and treating incompetence, it is recommended that clinicians develop efficient methods to identify individuals who are most likely to require intensive competence-related treatment interventions. This study sought to ascertain whether a brief cognitive screening instrument, the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), could predict the length of stay required to restore trial competency among 288 forensic psychiatric inpatients undergoing competency restoration treatment. Results indicated that incompetent defendants who were older or demonstrated poorer overall RBANS performance required longer hospitalizations to be deemed restored to trial competence. Interestingly, incompetent defendants scoring in the 51–60 range on the RBANS Total Scale Index were almost three times more likely to require hospitalization beyond the average length of stay. Findings support the use of the RBANS to identify individuals early in the treatment process who may require and benefit from intensive restoration treatment.

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 462.00 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.