Physical and psychological aspects of multiple sclerosis: Revisiting the Multiple Sclerosis Impact Scale (MSIS-29).

MS Impact Scale-29 Rasch TONiC study minimal detectable change minimal important change multiple sclerosis trajectory model

Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
30 Oct 2024
Historique:
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: aheadofprint

Résumé

The MSIS-29 measures the physical and psychological impact of MS. The associations between MSIS-29 domains and demographic/clinical aspects were examined and trajectories analysed over time. Data were collected in the Trajectories of Outcome in Neurological Conditions study for a diverse population of people with MS, with follow-up for up to 5 years. Following Rasch analysis, minimal important change (MIC) was computed for ensuing total, physical and psychological domains. Fit to the Rasch model using data from 5921 participants validated physical, psychological and total domains, and the conversion table transforms raw scores to interval-level metric equivalents. These domains showed significant differences across demographic (age, gender, employment, education, and marital status) and clinical (subtype, treatment, and duration) factors with large effect sizes. The MIC scores were physical: 9.1, total: 14.1, which were both above measurement error, and psychological: 5.5 which was not, so 1.6% of participants reported psychological change which was clinically important but not statistically significant. Trajectory analysis showed three groups, one stable and two with significant slopes, improving and deteriorating. The MSIS-29 has shown adequate fit to the Rasch model after accommodating problems with local item dependency, through a bi-factor solution. The domains showed good discrimination across key factors.

Sections du résumé

BACKGROUND UNASSIGNED
The MSIS-29 measures the physical and psychological impact of MS.
OBJECTIVE UNASSIGNED
The associations between MSIS-29 domains and demographic/clinical aspects were examined and trajectories analysed over time.
METHODS UNASSIGNED
Data were collected in the Trajectories of Outcome in Neurological Conditions study for a diverse population of people with MS, with follow-up for up to 5 years. Following Rasch analysis, minimal important change (MIC) was computed for ensuing total, physical and psychological domains.
RESULTS UNASSIGNED
Fit to the Rasch model using data from 5921 participants validated physical, psychological and total domains, and the conversion table transforms raw scores to interval-level metric equivalents. These domains showed significant differences across demographic (age, gender, employment, education, and marital status) and clinical (subtype, treatment, and duration) factors with large effect sizes. The MIC scores were physical: 9.1, total: 14.1, which were both above measurement error, and psychological: 5.5 which was not, so 1.6% of participants reported psychological change which was clinically important but not statistically significant. Trajectory analysis showed three groups, one stable and two with significant slopes, improving and deteriorating.
CONCLUSION UNASSIGNED
The MSIS-29 has shown adequate fit to the Rasch model after accommodating problems with local item dependency, through a bi-factor solution. The domains showed good discrimination across key factors.

Identifiants

pubmed: 39474866
doi: 10.1177/13524585241288393
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

13524585241288393

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Carolyn A Young (CA)

Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
The Walton Centre NHS Foundation Trust, Liverpool, UK.

David J Rog (DJ)

Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Salford, UK.

Basil Sharrack (B)

Department of Neurology, University of Sheffield, Sheffield, UK.

Radu Tanasescu (R)

Nottingham Centre for Multiple Sclerosis and Neuroinflammation, Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Academic Unit of Mental Health and Clinical Neuroscience, University of Nottingham, Nottingham, UK.

Seema Kalra (S)

University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, UK.

Suresh K Chhetri (SK)

Lancashire Teaching Hospitals NHS Foundation Trust, Preston, UK.

Lisa Wilde (L)

North West Anglia NHS Foundation Trust, Peterborough, UK.

Roger J Mills (RJ)

Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
The Walton Centre NHS Foundation Trust, Liverpool, UK.

Alan Tennant (A)

Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.

Classifications MeSH