Abstract spin in physiotherapy interventions using virtual reality or robotics: protocol for two Meta-research reviews. (16th October 2020)

• Record Type: Journal Article
• Authors: Stubbs, Peter W.; Mehta, Poonam; Bryant, Lucy; Pinto, Rafael Z.; Verhagen, Arianne P.; McCambridge, Alana B.
• Is Part Of: Physical therapy reviews. Volume 26:Number 2(2021)
• Page Start: 102
• Page End: 108
• Publication Date: 2020-10-16
• Subjects: Agreement -- spin -- technology -- clinical trials -- robotics -- virtual reality; Physical therapy -- Periodicals; 615.8205
• DOI: 10.1080/10833196.2020.1832708
• Languages: English
• ISSNs: 1083-3196

Abstract

Abstract: 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.