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. 2021 Oct;35(10):880-889.
doi: 10.1177/15459683211033854. Epub 2021 Jul 30.

Development and Validation of Crosswalks Between FIM® and SCIM III for Voluntary Musculoskeletal Movement Functions

Affiliations

Development and Validation of Crosswalks Between FIM® and SCIM III for Voluntary Musculoskeletal Movement Functions

Linda A T Jones et al. Neurorehabil Neural Repair. 2021 Oct.

Abstract

Background. In spinal cord injury, there are multiple databases containing information on functional recovery, but data cannot be pooled or compared due to differences in how function is measured. A crosswalk is needed to link or convert scores between instruments. Objectives. To create a crosswalk between the voluntary musculoskeletal movement items in the Functional Independence Measure (FIM®) and the Spinal Cord Independence Measure III (SCIM III) for spinal cord injury. Methods. Retrospective datasets with FIM® and SCIM III on the same people were used to develop (Swiss dataset, n = 662) and validate (US, n = 119, and Canadian datasets, n = 133) the crosswalks. Three different crosswalk methods (expert panel, equipercentile, and Rasch analysis) were employed. We used the correlation between observed scores on FIM® and SCIM III to crosswalked scores as the primary criterion to assess the strength of the crosswalk. Secondary criteria such as score distributions, Cohen's effect size, point differences, and subgroup invariance were also evaluated. Results. All three methods resulted in strong correlation coefficients, exceeding the primary criterion value of r = .866 (.897-.972). Assessment of secondary criteria suggests the equipercentile and Rasch methods produced the strongest crosswalks. Conclusions. The Rasch FIM®/SCIM III crosswalk is recommended because it is based on co-calibration of linearized measures, allowing for more sophisticated parametric analyses. The crosswalk will allow comparisons of voluntary musculoskeletal functional recovery across international databases using different functional measures, as well as different systems of care and rehabilitation approaches.

Keywords: Functional Independence Measure; Spinal Cord Independence Measure; linking; outcome measures; spinal cord injury.

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Conflict of interest statement

Declaration of conflicting interests

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

Figures

Figure 1.
Figure 1.
Equipercentile linking observed SCIM III to converted FIM® by percentile rank in the development (Swiss) dataset. Total score percentile ranks are matched for both outcome measures, from which the crosswalk score is derived. For example, a raw SCIM III score of 30 is equivalent to a raw FIM score of 50, based on a percentile rank of approximately 60%. FIM®, Functional Independence Measure; SCIM III, Spinal Cord Independence Measure III.
Figure 2.
Figure 2.
Rasch person-item map. This figure illustrates person ability and item difficulty on the same linear scale. Person ability is on the left side of the figure, with item difficulty on the right, with higher ability/difficulty at the top, and lower ability/difficulty at the bottom, as measured by logits (on the left).
Figure 3.
Figure 3.
Graphical display of differences between equipercentile FIM® and Rasch FIM® crosswalk. Plot of scores for equipercentile FIM® (EQ FIM) and Rasch FIM® (R FIM). FIM®, Functional Independence Measure.

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