Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Parkinsonism Relat Disord. 2019 Oct;67:113-116. doi: 10.1016/j.parkreldis.2019.08.019. Epub 2019 Aug 31.
We assessed differential item functioning (DIF) in the Unified Dyskinesia Rating Scale (UDysRS) to evaluate bias risk from the duration of Parkinson's Disease (PD) and duration of dyskinesia.
Assessing DIF is a core validation step for rating scales. If DIF is present for an item, interpretation must consider influences from the tested covariates. DIF can be uniform or non-uniform, depending on the consistency of influence from the given covariate across all levels of dyskinesia.
Using a large UDysRS database (N = 2313), uniform and non-uniform DIF related to the duration of PD and/duration of dyskinesia were tested. Unidimensionality of UDysRS was first confirmed using confirmatory factor analysis. DIF analysis was conducted using two independent latent models. DIF in an item was confirmed if both methods independently identified DIF at a significance level using Bonferroni correction. McFadden pseudo R^2 measured clinical relevancy of DIF magnitude (negligible, moderate, and large) for items identified with DIF, and items with DIF were considered clinically relevant if they exceeded a negligible designation.
Most items did not show uniform or non-uniform DIF based on PD and dyskinesia duration in isolation or in combination. For all items where DIF was identified, the magnitude statistic was in the negligible range (McFadden pseudo R^2 < 0.035) and the combined impact of multiple identified DIF items on UDysRS likewise did not exceed the negligible designation.
The absence of clinically relevant DIF suggests that the UDysRS can be applied across all patients regardless of their PD- or dyskinesia-duration.
我们评估了统一运动障碍评分量表(UDysRS)中的差异项目功能(DIF),以评估帕金森病(PD)持续时间和运动障碍持续时间引起的偏倚风险。
评估 DIF 是量表验证的核心步骤。如果项目存在 DIF,则必须考虑从所测试协变量中获得的影响。根据给定协变量对所有运动障碍水平的影响的一致性,DIF 可以是均匀的或不均匀的。
使用大型 UDysRS 数据库(N=2313),测试了与 PD 持续时间和/或运动障碍持续时间相关的均匀和非均匀 DIF。首先使用验证性因子分析确认 UDysRS 的单维性。使用两个独立的潜在模型进行 DIF 分析。如果两种方法都使用 Bonferroni 校正独立地在显著水平上识别出 DIF,则确认项目中存在 DIF。对于确定存在 DIF 的项目,DIF 幅度的 McFadden 伪 R^2 测量了 DIF 大小的临床相关性(可忽略、中等和大),并且如果 DIF 超过可忽略的指定,则认为项目具有临床相关性。
大多数项目根据 PD 和运动障碍持续时间的单独或组合,均未显示均匀或非均匀 DIF。对于所有确定存在 DIF 的项目,幅度统计量均处于可忽略的范围(McFadden 伪 R^2<0.035),并且多个确定存在 DIF 的项目对 UDysRS 的综合影响也未超过可忽略的指定。
缺乏临床相关的 DIF 表明,无论患者的 PD 或运动障碍持续时间如何,UDysRS 都可以应用于所有患者。