Admission and discharge profiles of people with MS accessing in-patient rehabilitation in Canada.

Functional Independence Measure In-patient rehabilitation Latent Class Analysis Multiple Sclerosis Oridinal Logistic Regression Porportional Odds Model Posterior Probabilities

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 16 04 2023
revised: 28 08 2023
accepted: 13 09 2023
medline: 10 11 2023
pubmed: 24 9 2023
entrez: 23 9 2023
Statut: ppublish

Résumé

Rehabilitation is the mainstay of management for people with disabilities of neurological origin to maximize function and reduce disability. Access to in-patient rehabilitation is usually reserved for people after crises or those who are discharged from acute care such as in stroke or trauma. Access to people with Multiple Sclerosis (MS) differs across countries and unknown for Canada. With the progression of MS, quality of life (QOL) becomes more closely coupled with independence and hence timely access to rehabilitation is important. The objectives of this paper are (i) to characterize the disability profiles of people with MS admitted to in-patient rehabilitation in Canada; and (ii) to estimate the extent to which disability profiles differ from admission to discharge. A longitudinal study of a rehabilitation admission-to-discharge cohort of 3500 people with MS was conducting using latent class analysis on the five Functional Independence Measure (FIM) subscales for Self-care, Transfers, Locomotion, Bladder/Bowel, and Cognition. The extent to which age, sex, and calendar time was associated with latent class membership, at both admission and discharge, was estimated using ordinal logistic regression, and proportional odds model was calculated for each age and sex. At admission five classes were identified. The two most prevalent classes included people with total or moderate dependency in all FIM subscales except cognition (n = 1205 and n = 1099). The third most common was dependent in ambulation only (n = 523), followed by dependence in ambulation with varying degree of limitation in self-care and transfers (n = 465, and n = 208). At discharge four classes were identified with the largest class comprising of people dependent in ambulation and to a lesser degree in transfers (n = 1010). The second most prevalent class was no dependency (n = 946), followed by two classes with varying dependency in all subscales but cognition (n = 678 and n = 771). Overall 62.3% of admissions transitioned to a more functional class by discharge. By discharge 28% of the population was characterized by no dependencies; however, 23% remained with dependencies in all areas. Those in the most dependent classes showed the greatest probability of transitioning to a better class at discharge highlighting the importance of reserving scarce rehabilitation services to those with more disability.

Sections du résumé

BACKGROUND BACKGROUND
Rehabilitation is the mainstay of management for people with disabilities of neurological origin to maximize function and reduce disability. Access to in-patient rehabilitation is usually reserved for people after crises or those who are discharged from acute care such as in stroke or trauma. Access to people with Multiple Sclerosis (MS) differs across countries and unknown for Canada. With the progression of MS, quality of life (QOL) becomes more closely coupled with independence and hence timely access to rehabilitation is important. The objectives of this paper are (i) to characterize the disability profiles of people with MS admitted to in-patient rehabilitation in Canada; and (ii) to estimate the extent to which disability profiles differ from admission to discharge.
METHODS METHODS
A longitudinal study of a rehabilitation admission-to-discharge cohort of 3500 people with MS was conducting using latent class analysis on the five Functional Independence Measure (FIM) subscales for Self-care, Transfers, Locomotion, Bladder/Bowel, and Cognition. The extent to which age, sex, and calendar time was associated with latent class membership, at both admission and discharge, was estimated using ordinal logistic regression, and proportional odds model was calculated for each age and sex.
RESULTS RESULTS
At admission five classes were identified. The two most prevalent classes included people with total or moderate dependency in all FIM subscales except cognition (n = 1205 and n = 1099). The third most common was dependent in ambulation only (n = 523), followed by dependence in ambulation with varying degree of limitation in self-care and transfers (n = 465, and n = 208). At discharge four classes were identified with the largest class comprising of people dependent in ambulation and to a lesser degree in transfers (n = 1010). The second most prevalent class was no dependency (n = 946), followed by two classes with varying dependency in all subscales but cognition (n = 678 and n = 771).
CONCLUSION CONCLUSIONS
Overall 62.3% of admissions transitioned to a more functional class by discharge. By discharge 28% of the population was characterized by no dependencies; however, 23% remained with dependencies in all areas. Those in the most dependent classes showed the greatest probability of transitioning to a better class at discharge highlighting the importance of reserving scarce rehabilitation services to those with more disability.

Identifiants

pubmed: 37741026
pii: S2211-0348(23)00509-6
doi: 10.1016/j.msard.2023.105008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105008

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Auteurs

Kedar K V Mate (KKV)

Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada. Electronic address: kedar.mate@mail.mcgill.ca.

Nikki Ow (N)

Occupational Science and Occupational Therapy, Faculty of Medicine, University of British Columbia, British Columbia, Canada.

Stanley Hum (S)

Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.

Nancy E Mayo (NE)

Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada; Center for Outcomes Research and Evaluation, McGill University Health Centre Research Institute, Montreal, Quebec, Canada; Division of Clinical Epidemiology, McGill University, Montreal, Quebec, Canada.

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