计算机自适应休息与I-HaND量表监测上肢神经病变患者。

Mary Rose Harvey, Conrad Harrison
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引用次数: 0

摘要

手神经紊乱影响量表是上肢神经病理患者报告的结果测量。我们的目的是利用项目反应理论来评估其结构有效性,并开发计算机化的自适应测试算法。我们进行了一系列的心理测量研究来评估被测量的构念,应用项目反应理论模型对数据进行分析,然后开发了计算机化的自适应测试算法。结果显示了两个不同的因素:“运动功能”和“疼痛”。我们开发了两个独立的计算机化自适应测试,将问题数量从6个(“疼痛”)和16个(“运动功能”)减少到三个问题的中位数,每个问题的精度很高(测量的标准误差)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computerized adaptive testing with the I-HaND scale for monitoring patients with upper limb nerve pathology.

The Impact of Hand Nerve Disorders scale is a patient-reported outcome measure for upper limb nerve pathology. We aimed to assess its structural validity using item response theory and to develop computerized adaptive testing algorithms. We conducted a series of psychometric studies to assess constructs measured, applied an item response theory model to the data, then developed computerized adaptive testing algorithms. The results showed two distinct factors: 'Motor Function' and 'Pain'. We developed two separate computerized adaptive tests which reduced the number of questions from six ('Pain') and 16 ('Motor Function') to a median of three questions each at a high level of precision (standard error of measurement <0.3). For optimal measurement precision, the Impact of the Hand Nerve Disorders scale should be divided into two subscales and administered through computerized adaptive testing. In some circumstances (such as screening for specific issues) it may be preferable to administer all 32 items.

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