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dc.contributor.author
Schuster-Amft, Corina
dc.contributor.author
Eng, Kynan
dc.contributor.author
Lehmann, Isabelle
dc.contributor.author
Schmid, Ludwig
dc.contributor.author
Kobashi, Nagisa
dc.contributor.author
Thaler, Irène
dc.contributor.author
Verra, Martin L.
dc.contributor.author
Henneke, Andrea
dc.contributor.author
Signer, Sandra
dc.contributor.author
McCaskey, Michael
dc.contributor.author
Kiper, Daniel
dc.date.accessioned
2019-06-26T13:05:57Z
dc.date.available
2017-06-11T12:44:19Z
dc.date.available
2018-03-15T15:50:19Z
dc.date.available
2019-06-26T13:05:57Z
dc.date.issued
2014-09-06
dc.identifier.issn
1468-6694
dc.identifier.issn
1745-6215
dc.identifier.issn
1468-6708
dc.identifier.other
10.1186/1745-6215-15-350
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/90012
dc.identifier.doi
10.3929/ethz-b-000090012
dc.description.abstract
Background In recent years, virtual reality has been introduced to neurorehabilitation, in particular with the intention of improving upper-limb training options and facilitating motor function recovery. Methods/Design The proposed study incorporates a quantitative part and a qualitative part, termed a mixed-methods approach: (1) a quantitative investigation of the efficacy of virtual reality training compared to conventional therapy in upper-limb motor function are investigated, (2a) a qualitative investigation of patients’ experiences and expectations of virtual reality training and (2b) a qualitative investigation of therapists’ experiences using the virtual reality training system in the therapy setting. At three participating clinics, 60 patients at least 6 months after stroke onset will be randomly allocated to an experimental virtual reality group (EG) or to a control group that will receive conventional physiotherapy or occupational therapy (16 sessions, 45 minutes each, over the course of 4 weeks). Using custom data gloves, patients’ finger and arm movements will be displayed in real time on a monitor, and they will move and manipulate objects in various virtual environments. A blinded assessor will test patients’ motor and cognitive performance twice before, once during, and twice after the 4-week intervention. The primary outcome measure is the Box and Block Test. Secondary outcome measures are the Chedoke-McMaster Stroke Assessments (hand, arm and shoulder pain subscales), the Chedoke-McMaster Arm and Hand Activity Inventory, the Line Bisection Test, the Stroke Impact Scale, the MiniMentalState Examination and the Extended Barthel Index. Semistructured face-to-face interviews will be conducted with patients in the EG after intervention finalization with a focus on the patients’ expectations and experiences regarding the virtual reality training. Therapists’ perspectives on virtual reality training will be reviewed in three focus groups comprising four to six occupational therapists and physiotherapists. Discussion The interviews will help to gain a deeper understanding of the phenomena under investigation to provide sound recommendations for the implementation of the virtual reality training system for routine use in neurorehabilitation complementing the quantitative clinical assessments.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
BioMed Central
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Occupational therapy
en_US
dc.subject
Physiotherapy
en_US
dc.subject
Stroke
en_US
dc.subject
Upper-limb function
en_US
dc.subject
Virtual reality
en_US
dc.title
Using mixed methods to evaluate efficacy and user expectations of a virtual reality–based training system for upper-limb recovery in patients after stroke: a study protocol for a randomised controlled trial
en_US
dc.type
Other Journal Item
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2014-09-06
ethz.journal.title
Trials
ethz.journal.volume
15
en_US
ethz.pages.start
350
en_US
ethz.size
11 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02533 - Institut für Neuroinformatik (INI) / Institute of Neuroinformatics (INI)::03454 - Martin, Kevan A.C.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02533 - Institut für Neuroinformatik (INI) / Institute of Neuroinformatics (INI)::03454 - Martin, Kevan A.C.
ethz.date.deposited
2017-06-11T12:44:28Z
ethz.source
ECIT
ethz.identifier.importid
imp5936525aaae9368801
ethz.ecitpid
pub:141739
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T10:14:29Z
ethz.rosetta.lastUpdated
2019-06-26T13:06:08Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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