1,556
Views
50
CrossRef citations to date
0
Altmetric
Papers

The effects of aphasia severity on the ability to assess language disorders via telerehabilitation

, , , &
Pages 627-642 | Received 29 Oct 2007, Accepted 11 Jan 2008, Published online: 30 Sep 2010
 

Abstract

Background: Telerehabilitation is the remote delivery of rehabilitation services via information technology and telecommunication systems. There have been a number of recent studies that have used video conferencing to assess language skills in people with aphasia. These studies have highlighted the possibility that severity of impairment and aetiology may have an effect on the administration of telerehabilitation language assessment protocols. Furthermore, anecdotal accounts of difficulties in administering language assessment via telerehabilitation also demonstrate the need for research into the effects of severity of aphasia. It is important that the effects of severity of aphasia are determined as part of the overall evidence base for telerehabilitation language assessment protocols.

Aims: To investigate the influence of severity of aphasia on the ability to assess acquired aphasia via telerehabilitation methods.

Methods & Procedures: A total of 32 participants with an acquired aphasia were assessed simultaneously via telerehabilitation and face‐to‐face methods on the Boston Diagnostic Aphasia Examination 3rd Edition Short Form (BDAE‐3) and the Boston Naming Test (BNT) (2nd Edition Short Form). A custom‐built telerehabilitation system developed at the University of Queensland enabled real‐time telerehabilitation assessment over a 128 kbit/s Internet connection. Participants were grouped according to their severity level. Data analysis was conducted on the differences in scores from the two assessors.

Outcomes & Results: Results revealed that severity of aphasia did not greatly influence the accuracy of the telerehabilitation assessment for the majority of the BDAE‐3 clusters. However, severity of aphasia appeared to affect the ability to assess naming and paraphasia via telerehabilitation methods. Post‐hoc analysis revealed that the scores given in the face‐to‐face and telerehabilitation environments were comparable within each severity level.

Conclusions: Results suggest that severity of aphasia may influence the ability to assess some language parameters via telerehabilitation. Further research should use larger sample sizes to confirm these results and to refine the telerehabilitation technology to enable these parameters to be adequately assessed. Additionally, clinician satisfaction with telerehabilitation assessment should be qualitatively researched so as to widen clinician acceptance of this method.

Notes

The authors gratefully acknowledge funding support for this study from the National Health and Medical Research Council of Australia Project Grant No. 401604 and the National Health and Medical Research Council of Australia Public Health Postgraduate Scholarship ID 351649. The authors also acknowledge the assistance of Roy Anderson for software development of the telerehabilitation application, and Monique Waite for data collection. We acknowledge the assistance of the Princess Alexandra Hospital, the Royal Brisbane and Women's Hospital, Queen Elizabeth II Jubilee Hospital, The University of Queensland Health and Rehabilitation Clinics, and the Aphasia Registry in the recruitment of participants for this study. Finally, the authors wish to acknowledge the participants of this study for the generous gift of their time.

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 386.00 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.