Is the Downs and Black scale a better tool to appraise the quality of the studies using virtual rehabilitation for post-stroke upper limb rehabilitation?

Sandeep K. Subramanian, Sheena M. Caramba, Oscar L. Hernandez, Quenton T. Morgan, MacKenzie K. Cross, Cole S. Hirschhauser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We appraised the quality of the Randomized Controlled Trials using virtual reality technology for post-stroke upper limb rehabilitation. We used the Downs and Black scale and PEDRo scales used for study quality appraisal. Correlation analyses revealed that the total scores of the two scales were moderately correlated. When only the items that were similar between two scales were considered, the correlation was high. Preliminary results suggest that the Downs and Black checklist may be a better option to assess quality of studies that use virtual reality technology for post-stroke upper limb rehabilitation.

Original languageEnglish (US)
Title of host publicationICVR 2019 - International Conference on Virtual Rehabilitation
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112855
DOIs
StatePublished - Jul 2019
Event2019 International Conference on Virtual Rehabilitation, ICVR 2019 - Tel Aviv, Israel
Duration: Jul 21 2019Jul 24 2019

Publication series

NameInternational Conference on Virtual Rehabilitation, ICVR
Volume2019-July
ISSN (Electronic)2331-9569

Conference

Conference2019 International Conference on Virtual Rehabilitation, ICVR 2019
CountryIsrael
CityTel Aviv
Period7/21/197/24/19

Keywords

  • arm
  • evidence-based practice
  • randomized controlled trials
  • scales

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Is the Downs and Black scale a better tool to appraise the quality of the studies using virtual rehabilitation for post-stroke upper limb rehabilitation?'. Together they form a unique fingerprint.

Cite this