Hostname: page-component-848d4c4894-8bljj Total loading time: 0 Render date: 2024-06-16T05:59:33.639Z Has data issue: false hasContentIssue false

P.043 Developing a brief clinical dataset for Duchenne Muscular Dystrophy

Published online by Cambridge University Press:  24 May 2024

D Bourcier
Affiliation:
(Halifax)*
V Hodgkinson
Affiliation:
(Calgary)
A Dyck
Affiliation:
(Calgary)
S Drisdelle
Affiliation:
(Halifax)
L Korngut
Affiliation:
(Calgary)
J Sheriko
Affiliation:
(Halifax)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Background: Duchenne muscular dystrophy (DMD) causes progressive muscle wasting. The Canadian Neuromuscular Disease Registry (CNDR) previously developed a comprehensive DMD dataset in accordance with the International Classification of Functioning, Disability, and Health (ICF). Our objective was to develop a brief ICF core set that best aligns with the priorities of individuals and families affected by DMD. Methods: A literature review of best practices was prepared and reviewed by a multidisciplinary team at the CNDR. The entire process involved patient and parent input and participation and was compliant with the World Health Organization guideline to develop brief ICF core sets. Results: An eight step process was developed. In brief, these included multi-stakeholder consensus meetings, ranking surveys, mapping to international standards, further consensus meeting, evaluation of clinical feasibility in multidisciplinary clinics across Canada, an integrated literature review, and development of a finalized brief ICF core set for DMD. Conclusions: The process of identifying the priorities of those living with DMD using the brief ICF core set will support post-marketing surveillance of novel therapies. The next step in this project will be to identify the specific outcome measures that best align with the brief ICF core set for DMD, for their eventual inclusion in the CNDR registry.

Type
Abstracts
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation