Simulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function

Simulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function
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DOI:
10.1016/j.jclinepi.2005.08.006
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发表时间:
2006-03-01
影响因子:
7.2
通讯作者:
Crane, PK
Crane, PK
中科院分区:
医学2区
文献类型:
--
作者:
Hart, DL;Cook, KF;Crane, PK

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背景和目的:检验肩部功能状态(SFS)条目的单维度和局部独立性,利用评定量表条目反应理论模型(RSM)建立条目的计算机化自适应测验(CAT),并比较使用所有条目生成的测量(theta(IRT))和使用模拟CAT(theta(CAT))生成的测量的判别效度。研究设计和背景:对400名肩部损伤患者在康复期间收集的数据进行二次分析,共完成60个SFS条目。结果:因子分析技术支持42个SFS条目形成一个一维量表,并具有局部独立性。除了被删除的五项外,RSM与数据吻合得很好。其余37个SFS项目用于生成CAT。平均而言,使用SFS CAT估计精确的功能测量需要6个项目,而所有37个SFS项目都是如此。Theta(IRT)和theta(CAT)测量高度相关(r=.96),导致患者的分类相似。结论:模拟的SFS CAT是有效的,产生了准确的、临床相关的功能状态测量,具有良好的区分能力。(C)2006 Elsevier Inc.保留所有权利。
Background and Objective: To test unidimensionality and local independence of a set of shoulder functional status (SFS) items, develop a computerized adaptive test (CAT) of the items using a rating scale item response theory model (RSM), and compare discriminant validity of measures generated using all items (theta(IRT)) and measures generated using the simulated CAT (theta(CAT)).Study Design and Setting: We performed a secondary analysis of data collected prospectively during rehabilitation of 400 patients with shoulder impairments who completed 60 SFS items.Results: Factor analytic techniques supported that the 42 SFS items formed a unidimensional scale and were locally independent. Except for five items, which were deleted, the RSM fit the data well. The remaining 37 SFS items were used to generate the CAT. On average, 6 items were needed to estimate precise measures of function using the SFS CAT, compared with all 37 SFS items. The theta(IRT) and theta(CAT) measures were highly correlated (r = .96) and resulted in similar classifications of patients.Conclusion: The simulated SFS CAT was efficient and produced precise, clinically relevant measures of functional status with good discriminating ability. (C) 2006 Elsevier Inc. All rights reserved.