Literature DB >> 34050939

Reliability and construct validity of the Duchenne Video Assessment.

Marielle G Contesse1, Amber T L Sapp1, Susan D Apkon2, Linda P Lowes3, Laura Dalle Pazze4, Mindy G Leffler1.   

Abstract

INTRODUCTION: The Duchenne Video Assessment (DVA) assesses quality of movement as an indication of Duchenne muscular dystrophy (DMD) disease severity. Caregivers video record patients performing home-based movement tasks using a mobile application, and physical therapists (PTs) rate the videos using scorecards with prespecified compensatory movement criteria. Reliability and construct validity of the DVA were tested using video and Pediatric Outcomes Data Collection Instrument (PODCI) data from patients with DMD and healthy controls from a separate study.
METHODS: Fifteen PTs were trained and certified as DVA raters. All raters scored videos of five subjects performing each movement task; nine raters rescored the same videos four weeks later. Three raters scored videos from an average of 25 subjects for each movement task. Aggregate scores were used to test construct validity. An expert DMD clinician assigned each video to a severity group for known-groups analyses. Differences between rater scores across severity groups were tested and correlations between DVA and PODCI scores were calculated.
RESULTS: Inter-rater reliability (intraclass correlation coefficient [ICC]) between all 15 raters ranged from 0.70 to 0.97 for all movement tasks. Mean intra-rater reliability ICC for nine raters ranged from 0.82 to 0.98 for all movement tasks. There were statistically significant differences between known severity groups for all movement tasks. The DVA correlated strongly with related PODCI constructs of physical function and weakly with unrelated constructs. DISCUSSION: The DVA was found to be a reliable and valid tool for measuring quality of movement as an indication of disease severity.
© 2021 Casimir LLC. Muscle & Nerve published by Wiley Periodicals LLC.

Entities:  

Keywords:  Duchenne muscular dystrophy; clinical outcome assessment; eHealth; reliability; validity

Year:  2021        PMID: 34050939     DOI: 10.1002/mus.27335

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  2 in total

1.  Development of Duchenne Video Assessment scorecards to evaluate ease of movement among those with Duchenne muscular dystrophy.

Authors:  Marielle G Contesse; Linda P Lowes; Michelle K White; Laura Dalle Pazze; Christine McSherry; Lindsay N Alfano; Megan Iammarino; Natalie Reash; Kelly Bonarrigo; Michael Kiefer; Katie Laubscher; Melissa McIntyre; Shelley Mockler; Leslie Nelson; Leslie Vogel; Mindy G Leffler
Journal:  PLoS One       Date:  2022-04-13       Impact factor: 3.240

2.  Patient-led development of digital endpoints and the use of computer vision analysis in assessment of motor function in rare diseases.

Authors:  Elisa Ferrer-Mallol; Clare Matthews; Madeline Stoodley; Alessandra Gaeta; Elinor George; Emily Reuben; Alex Johnson; Elin Haf Davies
Journal:  Front Pharmacol       Date:  2022-09-12       Impact factor: 5.988

  2 in total

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