Quality of life in multiple sclerosis is dominated by fatigue, disability and self-efficacy.

Disability Fatigue Multiple sclerosis Patient reported outcome measures Quality of life Self-efficacy

Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
15 Jul 2021
Historique:
received: 02 02 2021
revised: 18 03 2021
accepted: 06 04 2021
pubmed: 16 5 2021
medline: 16 6 2021
entrez: 15 5 2021
Statut: ppublish

Résumé

Quality of life in multiple sclerosis (MS) reflects complex relationships between symptoms (fatigue, spasticity pain, and bladder or vision dysfunction), disability, health perceptions, and self-efficacy. In this cross-sectional study, a self-report questionnaire pack of patient reported outcome measures was collected from 5695 people with MS (pwMS) alongside clinical data from their neurologists. Each patient reported outcome measure was converted to interval-scaled estimates following fit to the Rasch model. The patient reported outcome measures, as well as perceived health, age, disease subtype and gender, were then subject to path analysis to analyse their relationships with quality of life (QoL), guided by the Wilson and Clearly conceptual framework. The final model explains 81.2% of the variance of QoL. Fatigue is clearly dominant, suggesting a means to intervene and improve QoL. The next most influential factors were disability and self-efficacy, which have similar effect levels. The model can be replicated for pwMS on disease modifying therapy and is largely invariant for gender and disease subtype. Age had an insignificant effect. In order to promote better QoL, MS care should include management of fatigue, interventions to ameliorate disability, and support to enhance self-efficacy. The range of skills needed for these treatments will require input from medical, nursing, therapy and psychology staff, so these findings provide evidence substantiating the need for pwMS to be provided with care by comprehensive multidisciplinary teams.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
Quality of life in multiple sclerosis (MS) reflects complex relationships between symptoms (fatigue, spasticity pain, and bladder or vision dysfunction), disability, health perceptions, and self-efficacy.
METHODS METHODS
In this cross-sectional study, a self-report questionnaire pack of patient reported outcome measures was collected from 5695 people with MS (pwMS) alongside clinical data from their neurologists. Each patient reported outcome measure was converted to interval-scaled estimates following fit to the Rasch model. The patient reported outcome measures, as well as perceived health, age, disease subtype and gender, were then subject to path analysis to analyse their relationships with quality of life (QoL), guided by the Wilson and Clearly conceptual framework.
RESULTS RESULTS
The final model explains 81.2% of the variance of QoL. Fatigue is clearly dominant, suggesting a means to intervene and improve QoL. The next most influential factors were disability and self-efficacy, which have similar effect levels. The model can be replicated for pwMS on disease modifying therapy and is largely invariant for gender and disease subtype. Age had an insignificant effect.
CONCLUSIONS CONCLUSIONS
In order to promote better QoL, MS care should include management of fatigue, interventions to ameliorate disability, and support to enhance self-efficacy. The range of skills needed for these treatments will require input from medical, nursing, therapy and psychology staff, so these findings provide evidence substantiating the need for pwMS to be provided with care by comprehensive multidisciplinary teams.

Identifiants

pubmed: 33991718
pii: S0022-510X(21)00131-3
doi: 10.1016/j.jns.2021.117437
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117437

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Carolyn A Young (CA)

Walton Centre NHS Trust, Liverpool, UK; University of Liverpool, UK,. Electronic address: carolyn.young11@nhs.net.

Roger Mills (R)

Walton Centre NHS Trust, Liverpool, UK; University of Liverpool, UK,. Electronic address: rjm@crazydiamond.co.uk.

David Rog (D)

Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, UK. Electronic address: david.rog@srft.nhs.uk.

Basil Sharrack (B)

Academic Department of Neurology and NIHR Translational Neuroscience BRC, University of Sheffield, UK. Electronic address: basil.sharrack@nhs.net.

Tahir Majeed (T)

Lancashire Teaching Hospitals, Preston, UK. Electronic address: Tahir.Majeed@lthtr.nhs.uk.

Cris S Constantinescu (CS)

University of Nottingham, UK. Electronic address: Cris.Constantinescu@nottingham.ac.uk.

Seema Kalra (S)

University Hospital of North Midlands NHS Trust, Stoke-on-Trent, UK. Electronic address: Seema.Kalra@uhnm.nhs.uk.

Timothy Harrower (T)

University of Exeter, UK. Electronic address: timothy.harrower@nhs.net.

Helen Santander (H)

Sussex Community NHS Foundation Trust, UK. Electronic address: helen.santander@nhs.net.

Gillian Courtald (G)

Royal Cornwall Hospital, Truro, UK. Electronic address: gillian.courtauld1@nhs.net.

Helen L Ford (HL)

Leeds Teaching Hospitals NHS Trust, Leeds, UK. Electronic address: helen.ford17@nhs.net.

John Woolmore (J)

Queen Elizabeth Hospital, Birmingham, UK. Electronic address: John.Woolmore@uhb.nhs.uk.

Alan Tennant (A)

Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, UK. Electronic address: a.tennant@leeds.ac.uk.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH