6559Thomas Jefferson University, Center for Outcomes & Measurement, Philadelphia, PA, USA.
The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Neurorehabil Neural Repair. 2021 Oct;35(10):880-889. doi: 10.1177/15459683211033854. Epub 2021 Jul 30.
. 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. . 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. . 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. . 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. . 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.
在脊髓损伤中，有多个数据库包含有关功能恢复的信息，但由于功能测量方式的不同，数据无法进行汇总或比较。需要进行转换以链接或转换仪器之间的分数。为了在功能性独立测量（FIM®）和脊髓独立性测量 III（SCIM III）中的自愿肌肉骨骼运动项目之间创建转换，用于脊髓损伤。使用具有相同人群的 FIM®和 SCIM III 的回顾性数据集来开发（瑞士数据集，n = 662）和验证（美国，n = 119，和加拿大数据集，n = 133）转换。使用三种不同的转换方法（专家小组，等百分位和 Rasch 分析）。我们使用 FIM®和 SCIM III 上观察到的分数之间的相关性来转换分数，作为评估转换的主要标准。还评估了次要标准，例如分数分布，Cohen 的效应大小，点差和子组不变性。所有三种方法都产生了很强的相关系数，超过了 r =.866（.897-.972）的主要标准值。对次要标准的评估表明，等百分位和 Rasch 方法产生了最强的转换。建议使用 Rasch FIM®/SCIM III 转换，因为它基于线性化测量的共同校准，允许进行更复杂的参数分析。该转换将允许使用不同的功能测量，以及不同的护理和康复方法，在国际数据库中比较自愿肌肉骨骼功能恢复情况。
