Face and content validation of the amyotrophic lateral sclerosis-Bulbar dysfunction index (ALS-BDI).

ALS-BDI COSMIN assessment bulbar ALS development rehabilitation

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2022
Historique:
received: 24 10 2022
accepted: 08 12 2022
entrez: 23 1 2023
pubmed: 24 1 2023
medline: 24 1 2023
Statut: epublish

Résumé

Early detection and tracking of bulbar dysfunction in amyotrophic lateral sclerosis (ALS) are critical for directing management of the disease. Existing physiological assessments of bulbar dysfunction are often inaccessible and cost-prohibitive for clinical application. Existing clinical assessments are limited. The overall goal of our research is to develop a brief and reliable, clinician-administered assessment tool, the ALS Bulbar Dysfunction Index (ALS-BDI) to evaluate bulbar dysfunction. The aim of this study was to establish content and face validity of the ALS-BDI through item generation and reduction, including item scoring. The design of the ALS-BDI followed guidelines outlined by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). The design stage of the ALS-BDI involved two steps: (Step 1) the generation of candidate items from a literature review of commonly used clinical tools, and selection of items following a review of item reliability and item relevance and expert consensus; (Step 2) the assessment of their content and face validity Two drafts of the ALS-BDI were developed. The first draft contained 48 items, after a review of existing clinical tools for their relevance to bulbar dysfunction in ALS. Of the 48 items, 35 items were retained after surveying experts and clinician users for their relevance, feasibility, interpretability, and appropriateness. The second draft of the ALS-BDI contained 37 items, due to one item splitting, based on users cognitive interviews. The ALS-BDI described in this study aims to provide a brief and reliable, clinician-administered assessment tool to evaluate bulbar dysfunction in patients with ALS. Future research will evaluate the psychometric properties of this tool including its reliability, validity, and responsiveness to change over time.

Identifiants

pubmed: 36686519
doi: 10.3389/fneur.2022.1078612
pmc: PMC9849694
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1078612

Informations de copyright

Copyright © 2023 Yunusova, Waito, Barnett Tapia, Huynh, Martino, Abrahao, Pattee, Berry, Zinman and Green.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Yana Yunusova (Y)

Department of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.
KITE - University Health Network, Toronto, ON, Canada.

Ashley Waito (A)

Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.

Carolina Barnett Tapia (C)

Division of Neurology, Department of Medicine, University of Toronto and University Health Network, Toronto, ON, Canada.
Dalla Lana School of Public Health, Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.

Anna Huynh (A)

Department of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.
KITE - University Health Network, Toronto, ON, Canada.

Rosemary Martino (R)

Department of Speech-Language Pathology, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Department of Otolaryngology - Head and Neck Surgery, University of Toronto, Toronto, ON, Canada.
Krembil Research Institute, University Health Network, Toronto, ON, Canada.

Agessandro Abrahao (A)

Division of Neurology, Department of Medicine, University of Toronto and University Health Network, Toronto, ON, Canada.
Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Gary L Pattee (GL)

Neurology Associates, P.C., Lincoln, NE, United States.

James D Berry (JD)

Sean M. Healey and AMG Center for ALS, Massachusetts General Hospital, Boston, MA, United States.

Lorne Zinman (L)

Division of Neurology, Department of Medicine, University of Toronto and University Health Network, Toronto, ON, Canada.
Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Jordan R Green (JR)

Department of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA, United States.
Speech and Hearing Bioscience and Technology, Harvard University, Boston, MA, United States.

Classifications MeSH