Abstract spin in physiotherapy interventions using virtual reality or robotics: protocol for two Meta-research reviews

Stubbs, PW; Mehta, P; Bryant, L; Pinto, RZ; Verhagen, AP; McCambridge, AB

Abstract spin in physiotherapy interventions using virtual reality or robotics: protocol for two Meta-research reviews

Stubbs, PW Mehta, P

Bryant, L

Pinto, RZ Verhagen, AP McCambridge, AB

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Publisher:: Informa UK Limited
Publication Type:: Journal Article
Citation:: Physical Therapy Reviews, 2020, pp. 1-7
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Stubbs, PW
dc.contributor.author	Mehta, P https://orcid.org/0000-0002-9307-9648
dc.contributor.author	Bryant, L https://orcid.org/0000-0001-8497-7406
dc.contributor.author	Pinto, RZ
dc.contributor.author	Verhagen, AP
dc.contributor.author	McCambridge, AB
dc.date.accessioned	2021-01-04T03:52:18Z
dc.date.available	2021-01-04T03:52:18Z
dc.date.issued	2020-01-01
dc.identifier.citation	Physical Therapy Reviews, 2020, pp. 1-7
dc.identifier.issn	1083-3196
dc.identifier.issn	1743-288X
dc.identifier.uri	http://hdl.handle.net/10453/145064
dc.description.abstract	© 2020 Informa UK Limited, trading as Taylor & Francis Group. Background: Emerging technologies such as robotics and virtual reality (VR) are being trialled and implemented into physiotherapy practice. As emerging technologies compete for market share, trials on emerging technologies are at risk of spin. For consumers to make informed decisions about whether to use a new technology, trials should accurately portray the results. If spin is present, outcomes may not be comparable to the results reported when interventions are implemented clinically. Objectives: To determine the amount and type of spin in abstracts of physiotherapy clinical trials that use robotic or VR interventions. A secondary objective is to determine the agreement between raters, both experienced and inexperienced, using an existing 7-item checklist with updated item definitions. Methods: We will perform two meta-research reviews on a random set of 100 robotics (study 1) and 100 VR (study 2) trials, from any year, indexed in the PEDro database. Using the updated spin checklist, the abstract of each trial will be assessed in corroboration with full-text. The total spin score and proportion of studies with spin for each item will be reported. Agreement between experienced and inexperienced raters will be determined using kappa statistics. Rater confidence in rating each item will be collected. Discussion: We will identify if spin is present in robotics and VR literature and evaluate if the spin checklist can be confidently and consistently used by raters. We hope this research will facilitate best-practice reporting of research findings so emerging technologies will be implemented with realistic expectation of clinical outcome.
dc.language	en
dc.publisher	Informa UK Limited
dc.relation.ispartof	Physical Therapy Reviews
dc.relation.isbasedon	10.1080/10833196.2020.1832708
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1103 Clinical Sciences, 1106 Human Movement and Sports Sciences
dc.title	Abstract spin in physiotherapy interventions using virtual reality or robotics: protocol for two Meta-research reviews
dc.type	Journal Article
utslib.for	1103 Clinical Sciences
utslib.for	1106 Human Movement and Sports Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Speech Pathology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Physiotherapy
utslib.copyright.status	closed_access	*
dc.date.updated	2021-01-04T03:52:11Z
pubs.publication-status	Published

Abstract:

© 2020 Informa UK Limited, trading as Taylor & Francis Group. Background: Emerging technologies such as robotics and virtual reality (VR) are being trialled and implemented into physiotherapy practice. As emerging technologies compete for market share, trials on emerging technologies are at risk of spin. For consumers to make informed decisions about whether to use a new technology, trials should accurately portray the results. If spin is present, outcomes may not be comparable to the results reported when interventions are implemented clinically. Objectives: To determine the amount and type of spin in abstracts of physiotherapy clinical trials that use robotic or VR interventions. A secondary objective is to determine the agreement between raters, both experienced and inexperienced, using an existing 7-item checklist with updated item definitions. Methods: We will perform two meta-research reviews on a random set of 100 robotics (study 1) and 100 VR (study 2) trials, from any year, indexed in the PEDro database. Using the updated spin checklist, the abstract of each trial will be assessed in corroboration with full-text. The total spin score and proportion of studies with spin for each item will be reported. Agreement between experienced and inexperienced raters will be determined using kappa statistics. Rater confidence in rating each item will be collected. Discussion: We will identify if spin is present in robotics and VR literature and evaluate if the spin checklist can be confidently and consistently used by raters. We hope this research will facilitate best-practice reporting of research findings so emerging technologies will be implemented with realistic expectation of clinical outcome.

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http://hdl.handle.net/10453/145064