Carey Leeanne M, Mak-Yuen Yvonne Y K, Matyas Thomas A
Department of Occupational Therapy, Social Work and Social Policy, School of Allied Health, Human Services and Sport, College of Science, Health and Engineering, La Trobe University, Melbourne, VIC, Australia.
Neurorehabilitation and Recovery, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia.
Front Neurosci. 2020 Sep 23;14:542590. doi: 10.3389/fnins.2020.542590. eCollection 2020.
Our hands, with their exquisite sensors, work in concert with our sensing brain to extract sensory attributes of objects as we engage in daily activities. One in two people with stroke experience impaired body sensation, with negative impact on hand use and return to previous valued activities. Valid, quantitative tools are critical to measure somatosensory impairment after stroke. The functional Tactile Object Recognition Test (fTORT) is a quantitative measure of tactile (haptic) object recognition designed to test one's ability to recognize everyday objects across seven sensory attributes using 14 object sets. However, to date, knowledge of the nature of object recognition errors is limited, and the internal consistency of performance across item scores and dimensionality of the measure have not been established.
To describe the original development and construction of the test, characterize the distribution and nature of performance errors after stroke, and to evaluate the internal consistency of item scores and dimensionality of the fTORT.
Data from existing cohorts of stroke survivors ( = 115) who were assessed on the fTORT quantitative measure of sensory performance were extracted and pooled. Item and scale analyses were conducted on the raw item data. The distribution and type of errors were characterized.
The 14 item sets of the fTORT form a well-behaved unidimensional scale and demonstrate excellent internal consistency (Cronbach alpha of 0.93). Deletion of any item failed to improve the Cronbach score. Most items displayed a bimodal score distribution, with function and attribute errors (score 0) or correct response (score 3) being most common. A smaller proportion of one- or two-attribute errors occurred. The total score range differentiated performance over a wide range of object recognition impairment.
Unidimensional scale and similar factor loadings across all items support simple addition of the 14 item scores on the fTORT. Therapists can use the fTORT to quantify impaired tactile object recognition in people with stroke based on the current set of items. New insights on the nature of haptic object recognition impairment after stroke are revealed.
我们的双手拥有精密的传感器，在我们进行日常活动时，与具有感知能力的大脑协同工作，以提取物体的感官属性。每两名中风患者中就有一人会出现身体感觉受损的情况，这对手部功能的使用以及恢复到先前重视的活动都会产生负面影响。有效的定量工具对于测量中风后的体感障碍至关重要。功能性触觉物体识别测试（fTORT）是一种用于测量触觉（触觉）物体识别能力的定量测试，旨在通过14组物体测试一个人识别日常物体的七种感官属性的能力。然而，迄今为止，对物体识别错误本质的了解有限，并且尚未确定各项目得分的表现内部一致性以及该测试的维度。
描述该测试的原始开发和构建过程，表征中风后表现错误的分布和性质，并评估fTORT各项目得分的内部一致性和维度。
提取并汇总来自现有中风幸存者队列（n = 115）的数据，这些患者接受了fTORT感官表现定量测量。对原始项目数据进行项目和量表分析。对错误的分布和类型进行了表征。
fTORT的14个项目集形成了一个表现良好的单维量表，并显示出出色的内部一致性（克朗巴哈系数为0.93）。删除任何一个项目都未能提高克朗巴哈得分。大多数项目显示出双峰得分分布，功能和属性错误（得分0）或正确反应（得分3）最为常见。出现一两个属性错误的比例较小。总分范围在广泛的物体识别障碍范围内区分了表现。
单维量表以及所有项目相似的因子载荷支持在fTORT上简单地将14个项目得分相加。治疗师可以根据当前的项目集使用fTORT来量化中风患者受损的触觉物体识别能力。揭示了关于中风后触觉物体识别障碍本质的新见解。
