Transfer Physical Therapists Knowledge: A Pre-Test to Minimize the Complexity of Physical Therapists' Quality Assessment of Shoulder Exercise Performance.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
26 Jun 2020
Historique:
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 29 8 2020
Statut: ppublish

Résumé

Exercise therapy aims to restore normal musculoskeletal function or to reduce pain in patients with musculoskeletal shoulder disorders. Especially during long-term treatments, patients perform unsupervised exercises at home. Harmful movement deviations should be identified and avoided. Assistive technologies based on physical therapists' knowledge can support patients. In this paper, we present our approach to minimize the complexity of a physical therapists' quality assessment of a shoulder exercise performance. Four experienced physical therapists assessed the quality of 13 exercise performances shown as video recordings with a visual analogue scale and explained their ratings as free text. In some cases, the resulting assessments differed widely depending on the respective therapeutic goals. The therapists had difficulties to reduce the performances quality to a single value. Despite the existing consensus on exercises' descriptions, a more than one-dimensional scale is needed to evaluate exercises. Therefore, rating categories have to be identified for more detailed assessments.

Identifiants

pubmed: 32604684
pii: SHTI200577
doi: 10.3233/SHTI200577
doi:

Types de publication

Journal Article

Langues

eng

Pagination

391-394

Auteurs

Birgit Saalfeld (B)

Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Hannover, Germany.

Lena Elgert (L)

Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Hannover, Germany.

Bianca Steiner (B)

Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Braunschweig, Germany.

Klaus-Hendrik Wolf (KH)

Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Hannover, Germany.

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Classifications MeSH