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Differential functioning of items: can the FIM stand up to being measured?

机译:项目的不同功能:FIM能够经受住考验吗?

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Background: The Functional Independence Measure (F1M) is a widely used measure of activity in subacute rehabilitation settings. This study aims to evaluate the scaling properties of the FIM using Rasch analysis in a large sample of patients participating in multidisciplinary inpatient neurological rehabilitation. Method: Patients' ability was measured on admission and discharge using the FIM by consensus of the multi-disciplinary rehabilitation team. The FIM was examinedfor unidimensionality using RUMM 2020 software. Age, sex and diagnosis were used to examine for differential item functioning (DIF).Results: Over 10 years, 1495 patients had a median (IQR) age of 48 (36-58) years and a median length of stay of 18 (18-39) days. Initial analysis revealed poor fit of the FIM motor scale (chi-square < 0.000). Both motor and cognitive scales had large ceiling effects with poor targeting in the upper scores. Ten items had disordered thresholds and 14 items displayed DIF. Discussion: It is not legitimate to derive summated scores from the FIM motor or cognitive scales. It is possible to construct unidimensional scales of patients' motor and cognitive ability from FIM raw data, but this indicates redundancy in the data our teams collect and introduces extra layers of complexity. Conclusion: It would be advantageous to develop a new item bank for rehabilitation based on qualitative interviewing of patients, with an interval scale developed iteratively using Rasch analysis, and administered using computer adaptive testing. This would produce an outcome measure fit for purpose for the future.
机译:背景:功能独立性措施(F1M)是亚急性康复环境中活动广泛的措施。这项研究旨在使用Rasch分析评估参与多学科住院患者神经系统康复的大量患者样本中FIM的缩放特性。方法:通过多学科康复团队的共识,使用FIM测量患者的入院和出院能力。使用RUMM 2020软件检查了FIM的一维性。结果:超过10年,有1495名患者的中位(IQR)年龄为48(36-58)岁,中位住院时间为18(18),通过年龄,性别和诊断来检查差异项功能(DIF)。 -39)天。初步分析显示,FIM运动量表的拟合度较差(卡方<0.000)。运动量表和认知量表均具有较大的上限效应,较高分数的针对性较差。有10个项目的阈值无序,有14个项目显示了DIF。讨论:从FIM运动或认知量表得出总分是不合法的。可以从FIM原始数据构建患者运动和认知能力的一维量表,但这表明我们的团队收集的数据存在冗余,并增加了额外的复杂性。结论:基于患者的定性访谈,开发一种新的康复项目库是有利的,其间隔量表使用Rasch分析进行迭代开发,并使用计算机自适应测试进行管理。这将产生适合未来目的的结果度量。

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