Outcome measures in the management of gluteal tendinopathy: a systematic review of their measurement properties.


Journal

British journal of sports medicine
ISSN: 1473-0480
Titre abrégé: Br J Sports Med
Pays: England
ID NLM: 0432520

Informations de publication

Date de publication:
Aug 2022
Historique:
accepted: 24 03 2022
pubmed: 10 4 2022
medline: 20 7 2022
entrez: 9 4 2022
Statut: ppublish

Résumé

Evaluate properties of outcome measures for gluteal tendinopathy. Multistage scoping/systematic review. Cochrane, PubMed, Embase, Scopus, Web of Science, PEDro, CINAHL, SPORTDISCUS were searched (December 2021) to identify measures used to evaluate gluteal tendinopathy. Measures were mapped to the core health domains for tendinopathy. Medline, CINAHL, Embase and PubMed were searched (December 2021) for studies evaluating measurement properties of gluteal tendinopathy outcome measures captured in the initial search. Both reviews included studies that evaluated a treatment in participants with gluteal tendinopathy, diagnosed by a professional. Consensus-based-Standards for the Selection of Health Instruments methodology were followed-including bias assessment and synthesis of findings. Six studies reported on the Victorian Institute of Sport Assessment-Gluteal Tendinopathy (VISA-G). One study reported on the Hip Outcome Score (HOS)-activities of daily living (ADL) and Sport.The VISA-G had moderate-quality evidence of sufficient construct validity (known group) and responsiveness (pre-post intervention), low-quality evidence of sufficient reliability, measurement error, comprehensibility and insufficient construct validity (convergent), and very low-quality evidence of sufficient comprehensiveness, relevance and responsiveness (comparison with other outcome measures).Both the HOS(ADL) and HOS(Sport) had very low-quality evidence of sufficient reliability, relevance and insufficient construct validity and comprehensiveness. The HOS(ADL) had very low-quality evidence of sufficient comprehensibility and insufficient measurement error. The HOS(Sport) had very low quality evidence of inconsistent comprehensibility and sufficient measurement error. Rigorously validated outcome measures for gluteal tendinopathy are lacking. The VISA-G is the preferred available option to capture the disability associated with gluteal tendinopathy.

Identifiants

pubmed: 35396205
pii: bjsports-2021-104548
doi: 10.1136/bjsports-2021-104548
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

877-887

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: One of the authors published the original development article of the VISA-G. This author was not involved in the quality assessment, analysis of the data or writing of results regarding this outcome.

Auteurs

Anthony M Nasser (AM)

School of Allied Health, La Trobe University, Melbourne, Victoria, Australia a.nasser@latrobe.edu.au.
Graduate School of Health, University of Technology, Sydney, New South Wales, Australia.

Angela M Fearon (AM)

Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia.
Trauma and Orthopaedic Research Unit, Canberra Hospital, Canberra, Australian Capital Territory, Australia.

Alison Grimaldi (A)

School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia.

Bill Vicenzino (B)

School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia.

Rebecca Mellor (R)

School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia.

Trevor Spencer (T)

Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia.
Trauma and Orthopaedic Research Unit, Canberra Hospital, Canberra, Australian Capital Territory, Australia.

Adam Ivan Semciw (AI)

School of Allied Health, La Trobe University, Melbourne, Victoria, Australia.
Allied Health, Northern Health, Melbourne, Victoria, Australia.

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Classifications MeSH