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利用计算机自适应测试开发脑卒中患者社会功能评估工具。

Development of a Social Functioning Assessment Using Computerized Adaptive Testing for Patients With Stroke.

机构信息

School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.

Department of Psychology, National Chung Cheng University, Chiayi, Taiwan; Research Center for Psychological and Educational Testing, National Taiwan Normal University, Taipei, Taiwan.

出版信息

Arch Phys Med Rehabil. 2018 Feb;99(2):306-313. doi: 10.1016/j.apmr.2017.08.492. Epub 2017 Oct 5.

DOI:10.1016/j.apmr.2017.08.492
PMID:28989075
Abstract

OBJECTIVE

To develop a computerized adaptive test of social functioning (Social-CAT) for patients with stroke.

DESIGN

This study contained 2 phases. First, a unidimensional item bank was formed using social-related items with sufficient item fit (ie, infit and outfit mean square [MNSQ]). The social-related items were selected from 3 commonly used patient-reported quality-of-life measures. Items with differential item functioning (DIF) of sex were deleted. Second, we performed simulations to determine the best set of stopping rules with both high reliability and efficiency. The participants' responses to the items were extracted from a previous study.

SETTING

Rehabilitation wards and departments of rehabilitation/neurology of 5 general hospitals.

PARTICIPANTS

Patients (N=263) with stroke (47.1% were inpatients).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

Social-CAT.

RESULTS

The unidimensionality of the 24 selected items was supported (infit and outfit MNSQs =0.8-1.2). One item had DIF of sex and was deleted. The item bank was composed of the remaining 23 items. With the best set of stopping rules (person reliability ≥.90 or limited reliability increased ≤.001), the Social-CAT used on average 10 items to achieve sufficient reliability (average person reliability =.88; 81.0% of the patients with reliability ≥.90).

CONCLUSIONS

The Social-CAT appears to be a unidimensional measure with acceptable reliability and efficiency, and it could be useful for both clinicians and patients in time-pressed clinical settings.

摘要

目的

为脑卒中患者开发一种社会功能的计算机化自适应测验(Social-CAT)。

设计

本研究包含 2 个阶段。首先,使用具有足够项目拟合度(即 infit 和 outfit 均方根 [MNSQ])的与社会相关的项目形成单维项目库。这些与社会相关的项目选自 3 种常用的患者报告生活质量量表。删除具有性别差异项目功能(DIF)的项目。其次,我们进行了模拟,以确定具有高可靠性和高效率的最佳停止规则集。参与者对项目的反应是从之前的一项研究中提取出来的。

设置

5 家综合医院的康复病房和康复/神经科。

参与者

脑卒中患者(47.1%为住院患者)(N=263)。

干预措施

不适用。

主要观察指标

Social-CAT。

结果

24 个选定项目的单维性得到支持(infit 和 outfit MNSQs=0.8-1.2)。有一个项目具有性别 DIF,已被删除。项目库由其余的 23 个项目组成。使用最佳的停止规则集(个人可靠性≥.90 或有限可靠性增加≤.001),Social-CAT 平均使用 10 个项目即可达到足够的可靠性(平均个人可靠性=0.88;81.0%的患者可靠性≥0.90)。

结论

Social-CAT 似乎是一种具有可接受可靠性和效率的单维测量工具,它在时间紧迫的临床环境中对临床医生和患者都可能有用。

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