Postoperative Shoulder Function Assessment: Proposing the concept of 'Forgotten shoulder' over 'Normal shoulder' as the New Standard in Single Assessment Numerical Evaluation.


Journal

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
ISSN: 1526-3231
Titre abrégé: Arthroscopy
Pays: United States
ID NLM: 8506498

Informations de publication

Date de publication:
21 Feb 2024
Historique:
received: 02 02 2024
accepted: 17 02 2024
medline: 24 2 2024
pubmed: 24 2 2024
entrez: 23 2 2024
Statut: aheadofprint

Résumé

A major limitation of Patient-Reported Outcomes Measures (PROMs) postoperatively is the ceiling effect, where patients report the maximum score, making it difficult to differentiate between different conditions. Our findings regarding the SSV-Sport reveal a significant ceiling effect post-surgery, indicating the need for improvements in PROMs, including the Single Assessment Numerical Evaluation (SANE). One of the problems with SANE is scoring a 'normal' joint as the maximum. Patients might tolerate some subtle imperfections in their recovery and still consider their joint 'normal'. Proposing the concept of a 'forgotten' joint into the SANE could be a more accurate assessment tool and c which could diminish the ceiling effect. We suggest a shift from 'normal joint' to 'forgotten joint' as a standard for evaluating postoperative recovery and function in SANE.

Identifiants

pubmed: 38395268
pii: S0749-8063(24)00150-6
doi: 10.1016/j.arthro.2024.02.015
pii:
doi:

Types de publication

Letter

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Jules Descamps (J)

ICR-Institut de Chirurgie Réparatrice Locomoteur & Sport-Groupe KANTYS, 7, Avenue Durante, 06000, Nice, France.

Pascal Boileau (P)

ICR-Institut de Chirurgie Réparatrice Locomoteur & Sport-Groupe KANTYS, 7, Avenue Durante, 06000, Nice, France. Electronic address: pr.boileau@icr-nice.com.

Classifications MeSH