A Rasch-Based Comparison of the Functional Independence Measure and Spinal Cord Independence Measure for Outcome and Quality in the Rehabilitation of Persons with Spinal Cord Injury.


Journal

Journal of rehabilitation medicine
ISSN: 1651-2081
Titre abrégé: J Rehabil Med
Pays: Sweden
ID NLM: 101088169

Informations de publication

Date de publication:
14 Feb 2022
Historique:
received: 31 08 2021
accepted: 16 12 2021
entrez: 15 2 2022
pubmed: 16 2 2022
medline: 17 2 2022
Statut: epublish

Résumé

The Functional Independence Measure (FIM™) and spinal cord injury (SCI)-specific Spinal Cord Independence Measure (SCIM) are commonly used tools for outcome measurement and quality reporting in rehabilitation. The objective of this study was to investigate the psychometric properties of FIM™ and SCIM and to equate the 2 scales. First, content equivalence of FIM™ and SCIM was established through qualitative linking with the International Classification for Functioning, Disability and Health (ICF). Secondly, a Rasch analysis of overlapping contents determined the metric properties of the scales and provided the empirical basis for scale equating. Furthermore, a transformation table for FIM™ and SCIM was created and evaluated. Patients with SCI in Swiss inpatient rehabilitation in 2017-18. The ICF linking and a separate Rasch analysis of FIM™ restricted the analysis to the motor scales of FIM™ and SCIM. The Rasch analysis of these scales showed good metric properties. The co-calibration of FIM™ and SCIM motor scores was supported with good fit to the Rasch model. The operational range of SCIM is larger than for FIM™ motor scale. This study supports the advantage of using SCIM compared with FIM™ for assessing the functional independence of patients with SCI in rehabilitation.

Identifiants

pubmed: 35166364
doi: 10.2340/jrm.v54.82
pmc: PMC8892304
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

jrm00262

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Auteurs

Roxanne Maritz (R)

Swiss Paraplegic Research, Nottwil; Center for Rehabilitation in Global Health Systems, Department of Health Sciences and Medicine, University of Lucerne, Lucerne. roxanne.maritz@unilu.ch.

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Classifications MeSH