Evidence map›Paper›PMID 40524899›Full record

ArticleJournal of hand surgery global online2025

Validation of Virtual Wrist Range of Motion Measurements Using Video Coaching.

Cole Elaschuk, John Perverseff, Matthew Getzlaf, David Sauder, Laura Sims

Abstract read
In one paragraph

Article in Journal of hand surgery global online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cole ElaschukCollege of Medicine, University of Saskatchewan, Saskatoon, Canada.
John PerverseffCollege of Medicine, University of Saskatchewan, Saskatoon, Canada.
Matthew GetzlafDivision of Orthopedic Surgery, Royal University Hospital, University of Saskatchewan, Saskatoon, Canada.
David SauderDivision of Orthopedic Surgery, Royal University Hospital, University of Saskatchewan, Saskatoon, Canada.
Laura SimsDivision of Orthopedic Surgery, Royal University Hospital, University of Saskatchewan, Saskatoon, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Wrist range of motion (ROM) is an important assessment in wrist pathology. It is most commonly assessed using a long-arm goniometer. In-person intrarater reliability has been found to be high. Studies evaluating the assessment of wrist ROM virtually are less conclusive. The purpose of this study was to determine the validity and intrarater and inter-rater reliability of virtual wrist ROM measurements using a video coaching method. Methods: We performed a prospective cohort study assessing wrist flexion, extension, pronation, and supination in healthy volunteers. Three assessors-medical student, research assistant, and upper-extremity surgeon-measured participant wrist ROM at in-person, same-day virtual, and repeat virtual time points, with a 1-week washout period. Measurements were made with a long-arm goniometer. Virtual assessments were performed over Zoom, allowing the assessor to coach volunteers on correct wrist positioning for accurate measurement, using a predefined protocol. Interclass correlation (ICC; 95% confidence intervals) was used to assess intra- and inter-rater reliability between each time point. Results: Fifty-three wrists were enrolled, with complete data available for 45 of them. For all raters and all ROM measures, ICC values for in-person measurements were >0.75, suggesting good inter-rater reliability. This was also seen for same-day and repeat virtual measures for all ROM measurements and raters (ICC >0.75), suggesting similar inter-rater reliability to in-person measurements. Intrarater reliability for in-person, same-day virtual, and repeat virtual was at least good (ICC > 0.75) for all raters and all ROM measurements. Supination had the highest intrarater reliability, with all raters having ICC values graded as excellent (ICC > 0.9). Conclusions: Virtual wrist ROM assessments showed good inter-rater and intrarater reliability, with ICC scores comparable with in-person measures. This was true for raters of all levels of experience. Virtual wrist ROM assessment by this method offers a reliable alternative to in-person assessment. Type of study and level of evidence: Diagnostic IIb.

Indexed as

Range of motionValidationVirtual assessmentWrist

Identifiers

PMID40524899
PMCPMC12169731

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.