Measurement properties of the smartphone-based B-B Score in current shoulder pathologies.
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.
Haute Ecole de Santé Vaud (HESAV)//HES-SO, University of Applied Sciences Western Switzerland, Physiotherapy Department, Avenue de Beaumont 21, 1011 Lausanne, Switzerland. Claude.Pichonnaz@hesav.ch.|CHUV-UNIL, Orthopedics and Traumatology Department, Avenue Pierre-Decker 4, 1011 Lausanne, Switzerland. Claude.Pichonnaz@hesav.ch.
Claude
C
Pichonnaz
Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne (EPFL), ELH 135 (Bâtiment ELH), Station 11, 1015 Lausanne, Switzerland. cyntia.duc@a3.epfl.ch.
Cyntia
C
Duc
School of Health Sciences, Queen Margaret University, Edinburgh EH21 6UU, UK. ngleeson@qmu.ac.uk.
Nigel
N
Gleeson
Haute Ecole de Santé Vaud (HESAV)//HES-SO, University of Applied Sciences Western Switzerland, Physiotherapy Department, Avenue de Beaumont 21, 1011 Lausanne, Switzerland. Celine.Ancey@hesav.ch.
Céline
C
Ancey
Haute Ecole de Santé Vaud (HESAV)//HES-SO, University of Applied Sciences Western Switzerland, Physiotherapy Department, Avenue de Beaumont 21, 1011 Lausanne, Switzerland. Jaccard@chuv.ch.|CHUV-UNIL, Orthopedics and Traumatology Department, Avenue Pierre-Decker 4, 1011 Lausanne, Switzerland. Jaccard@chuv.ch.
Hervé
H
Jaccard
CHUV-UNIL, direction médicale, Rue du Bugnon 46, 1011 Lausanne, Switzerland. Estelle.Lecureux@chuv.ch.
Estelle
E
Lécureux
CHUV-UNIL, Orthopedics and Traumatology Department, Avenue Pierre-Decker 4, 1011 Lausanne, Switzerland. Alain.Farron@chuv.ch.
Alain
A
Farron
CHUV-UNIL, Orthopedics and Traumatology Department, Avenue Pierre-Decker 4, 1011 Lausanne, Switzerland. Brigitte.Jolles-Haeberli@chuv.ch.
Brigitte M
BM
Jolles
Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne (EPFL), ELH 135 (Bâtiment ELH), Station 11, 1015 Lausanne, Switzerland. kamiar.aminian@epfl.ch.
Kamiar
K
Aminian
D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D007592:Joint Diseases / Q000175:diagnosis* / Q000503:physiopathology; D063731:Mobile Applications; D011446:Prospective Studies; D017006:Rotator Cuff / Q000503:physiopathology; D012782:Shoulder / Q000503:physiopathology*; D020069:Shoulder Pain / Q000503:physiopathology; D000068997:Smartphone
body-worn sensors; kinematics; measurement properties; outcome assessment; shoulder; shoulder function; smartphone sensors; validation studies