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依赖视觉的日常生活任务的进一步验证:领域的识别

Further validation of the Daily Living Tasks Dependent on Vision: identification of domains.

作者信息

Hart P M, Stevenson M R, Montgomery A-M, Muldrew K A, Chakravarthy U

机构信息

Department of Ophthalmology and Vision Science, The Queen's University of Belfast and Royal Group of Hospitals, Grosvenor Road, Belfast BT12 6BA, UK.

出版信息

Br J Ophthalmol. 2005 Sep;89(9):1127-30. doi: 10.1136/bjo.2004.059683.

Abstract

AIM

To examine the Daily Living Tasks Dependent on Vision (DLTV), a visual function questionnaire for domain structure, and redundancy.

METHOD

235 subjects underwent full ophthalmic assessment and completed the DLTV questionnaire by interview. Principal component analysis with varimax rotation and item response theory (IRT) were used to assign the items to domains. The internal consistency of each domain was examined using Cronbach's alpha. Redundancy was assessed by regressing each item in a domain against the remainder of items in that domain.

RESULTS

Four domains were identified. Domain 1 was formed by nine items, which after applying IRT were seen to be among the most difficult questions in the instrument. Domain 2 contained eight items, all of which fell in the easier half of the instrument on applying IRT. Domain 3 contained only three items, all of which were among the easier questions and appear to deal with peripheral vision function. Domain 4 consisted of two items dealing with adaptation to light and dark conditions. Cronbach's alpha for each domain was 0.96, 0.93, 0.73, 0.66. Redundancy was found to be present in domain 1, which was therefore reduced by two items, with little effect on internal consistency.

CONCLUSIONS

The authors believe using the domains identified in this report will optimise the information provided by patients on their ability to function on visually demanding tasks.

摘要

目的

研究依赖视力的日常生活任务(DLTV),这是一种用于评估领域结构和冗余性的视觉功能问卷。

方法

235名受试者接受了全面的眼科评估,并通过访谈完成了DLTV问卷。采用方差最大化旋转的主成分分析和项目反应理论(IRT)将项目分配到各个领域。使用克朗巴哈系数(Cronbach's alpha)检验每个领域的内部一致性。通过将一个领域中的每个项目对该领域中其余项目进行回归分析来评估冗余性。

结果

确定了四个领域。领域1由九个项目组成,应用IRT后发现这些项目是该问卷中最难的问题。领域2包含八个项目,应用IRT后所有这些项目都属于问卷中较容易的部分。领域3仅包含三个项目,所有这些项目都是较容易的问题,似乎与周边视觉功能有关。领域4由两个处理明暗适应情况的项目组成。每个领域的克朗巴哈系数分别为0.96、0.93、0.73、0.66。发现领域1存在冗余,因此减少了两个项目,对内部一致性影响不大。

结论

作者认为,使用本报告中确定的领域将优化患者提供的关于其在视觉要求较高的任务上的功能能力的信息。

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