Measurement properties of the smartphone-based B-B Score in current shoulder pathologies.

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Version: Final published version
Serval ID
serval:BIB_59FCD84E3C22
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Measurement properties of the smartphone-based B-B Score in current shoulder pathologies.
Journal
Sensors (basel, Switzerland)
Author(s)
Pichonnaz C., Duc C., Gleeson N., Ancey C., Jaccard H., Lécureux E., Farron A., Jolles B.M., Aminian K.
ISSN
1424-8220 (Electronic)
ISSN-L
1424-8220
Publication state
Published
Issued date
2015
Volume
15
Number
10
Pages
26801-26817
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
This study is aimed at the determination of the measurement properties of the shoulder function B-B Score measured with a smartphone. This score measures the symmetry between sides of a power-related metric for two selected movements, with 100% representing perfect symmetry. Twenty healthy participants, 20 patients with rotator cuff conditions, 23 with fractures, 22 with capsulitis, and 23 with shoulder instabilities were measured twice across a six-month interval using the B-B Score and shoulder function questionnaires. The discriminative power, responsiveness, diagnostic power, concurrent validity, minimal detectable change (MDC), minimal clinically important improvement (MCII), and patient acceptable symptom state (PASS) were evaluated. Significant differences with the control group and significant baseline-six-month differences were found for the rotator cuff condition, fracture, and capsulitis patient groups. The B-B Score was responsive and demonstrated excellent diagnostic power, except for shoulder instability. The correlations with clinical scores were generally moderate to high, but lower for instability. The MDC was 18.1%, the MCII was 25.2%, and the PASS was 77.6. No floor effect was observed. The B-B Score demonstrated excellent measurement properties in populations with rotator cuff conditions, proximal humerus fractures, and capsulitis, and can thus be used as a routine test to evaluate those patients.
Keywords
Diagnosis, Computer-Assisted/methods, Equipment Design, Humans, Joint Diseases/diagnosis, Joint Diseases/physiopathology, Mobile Applications, Prospective Studies, Rotator Cuff/physiopathology, Shoulder/physiopathology, Shoulder Pain/physiopathology, Smartphone
Pubmed
Web of science
Open Access
Yes
Create date
28/10/2015 20:42
Last modification date
20/08/2019 15:13
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