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诺丁汉扩展日常生活活动量表的 Rasch 分析。

Rasch analysis of the Nottingham extended activities of daily living scale.

机构信息

Institute of Work, Health and Organisations, University of Nottingham, Nottingham, UK.

出版信息

J Rehabil Med. 2011 Oct;43(10):944-50. doi: 10.2340/16501977-0858.

DOI:10.2340/16501977-0858
PMID:21879232
Abstract

BACKGROUND AND PURPOSE

The Nottingham Extended Activities of Daily Living (EADL) Scale is frequently used in clinical practice and research in rehabilitation to assess patients’ independence in activities of daily living. Summative scores are used for this purpose, but this is problematic because the EADL is an ordinal level measurement scale.

OBJECTIVES

To examine the fit of data to the Rasch model and to determine how the fit could be improved by making changes to the scale. The appropriateness of using total and subscale (Mobility, Kitchen, Domestic and Leisure) scores in determining change over time was evaluated.

METHODS

EADL data (n = 210 stroke patients, 55% male, age range 27–93 years) from a randomized trial of a Stroke family support organiser service were analysed using the Partial Credit model.

RESULTS

Rasch analysis did not support the total scale as a unidimensional measure of activities of daily living. However,the subscales exhibited reasonable fit to the Rasch model following re-scoring and removal of items. Item 16 exhibited differential item functioning for age and item 22 differential item functioning for gender.

CONCLUSION

The results endorse the use and psychometric properties of the 4 EADL subscales, but not the total scale.Further work to corroborate these findings would be useful.

摘要

背景与目的

诺丁汉日常生活活动扩展量表(EADL)常用于康复临床实践和研究中,以评估患者日常生活活动的独立性。为此目的使用总结分数,但这存在问题,因为 EADL 是一个有序水平测量量表。

目的

检查数据对 Rasch 模型的拟合程度,并确定通过更改量表可以如何改善拟合程度。评估使用总分数和子量表(活动、厨房、家务和休闲)分数来确定随时间的变化是否合适。

方法

使用部分信用模型对一项中风家庭支持组织者服务的随机试验中的 EADL 数据(n = 210 名中风患者,55%为男性,年龄范围为 27-93 岁)进行分析。

结果

Rasch 分析不支持总量表作为日常生活活动的单一维度测量。然而,在重新评分和删除项目后,子量表表现出对 Rasch 模型的合理拟合。项目 16 表现出年龄的差异项目功能,项目 22 表现出性别差异项目功能。

结论

结果支持使用和 4 个 EADL 子量表的心理计量学特性,但不支持总量表。进一步的工作来证实这些发现将是有用的。

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