Evidence map›Paper›PMID 42298485›Full record

ArticleBMC musculoskeletal disorders2026

Accuracy of visual estimation of shoulder abduction by expert physiotherapists: a comparative study using 3D motion capture.

Martin Kenner, Phillip Thies, Annika Schwarz

Abstract readComparative Study
In one paragraph

Article in BMC musculoskeletal disorders, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Martin KennerFaculty of Social Sciences - Applied Therapeutic Sciences, City University of Applied Sciences Bremen, Bremen, Germany.
Phillip ThiesFaculty of Social Sciences - Applied Therapeutic Sciences, City University of Applied Sciences Bremen, Bremen, Germany. Phillip.Thies@hs-bremen.de.
Annika SchwarzFaculty of Social Sciences - Applied Therapeutic Sciences, City University of Applied Sciences Bremen, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate assessment of shoulder range of motion is essential for clinical decision-making in physiotherapy. While visual estimation of joint angles is commonly used in practice, its agreement with objective reference measurements under clinically relevant conditions remains unclear. This study aimed to assess the agreement between video-based expert visual estimation of shoulder abduction and three-dimensional (3D) motion capture as a reference standard.

methodsA cross-sectional method comparison study was conducted. Shoulder abduction movements of four healthy participants were recorded using a 3D motion capture system. Twenty-four video recordings were presented to experienced physiotherapists (≥ 10 years of clinical experience), who visually estimated joint angles via an online questionnaire. Differences between estimated and reference values were analysed using descriptive statistics, Bland-Altman analysis, and cross-classified mixed-effects modelling to account for repeated measurements across raters and video stimuli.

resultsA total of 923 paired observations from 33 experts were analysed. Visual estimation showed a consistent tendency toward overestimation, with a mean difference of 14.7° (SD 11.6°) and limits of agreement ranging from - 8.0° to 37.5°. A cross-classified mixed-effects model estimated a mean bias of 14.5° (95% CI 11.8° to 17.3°), confirming systematic overestimation. Most estimates (89.9%) exceeded the reference value. Variability was substantial, with 27.3% of variance attributable to differences between video stimuli and 10.5% to differences between raters.

conclusionVisual estimation of shoulder abduction angles by experienced physiotherapists showed limited agreement with a 3D motion capture reference and a consistent tendency toward overestimation. Given the observed variability, visual estimation alone may be insufficient for accurately detecting small changes in joint angle. The use of objective measurement tools may support more reliable assessment in clinical practice.

Indexed as

Imaging, Three-DimensionalPhysical TherapistsRange of Motion, ArticularShoulder JointAdultCross-Sectional StudiesFemaleHumansMaleMotion CaptureReproducibility of ResultsVideo RecordingYoung Adult3D motion captureMeasurement agreement, Bland–Altman analysisRange of motionShoulder jointVisual estimation

Identifiers

PMID42298485
PMCPMC13270789

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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.