Algase D L, Beattie E R A, Song J-A, Milke D, Duffield C, Cowan B
University of Michigan School of Nursing, Ann Arbor, Michigan 48109-0482, USA.
Aging Ment Health. 2004 Mar;8(2):133-42. doi: 10.1080/13607860410001649644.
This study examined the psychometric properties of an expanded version of the Algase Wandering Scale (Version 2) (AWS-V2) in a cross-cultural sample. A cross-sectional survey design was used. Study subjects were 172 English-speaking persons with dementia (PWD) from long-term care facilities in the USA, Canada, and Australia. Two or more facility staff rated each subject on the AWS-V2. Demographic and cognitive data (MMSE) were also obtained. Staff provided information on their own knowledge of the subject and of dementia. Separate factor analyses on data from two samples of raters each explained greater than 66% of the variance in AWS-V2 scores and validated four (persistent walking, navigational deficit, eloping behavior, and shadowing) of five factors in the original scale. Items added to create the AWS-V2 strengthened the shadowing subscale, failed to improve the routinized walking subscale, and added a factor, attention shifting as compared to the original AWS. Evidence for validity was found in significant correlations and ANOVAs between the AWS-V2 and most subscales with a single item indicator of wandering and with the MMSE. Evidence of reliability was shown by internal consistency of the AWS-V2 (0.87, 0.88) and its subscales (range 0.88 to 0.66), with Kappa for individual items (17 of 27 greater than 0.4), and ANOVAs comparing ratings across rater groups (nurses, nurse aids, and other staff). Analyses support validity and reliability of the AWS-V2 overall and for persistent walking, spatial disorientation, and eloping behavior subscales. The AWS-V2 and its subscales are an appropriate way to measure wandering as conceptualized within the Need-driven Dementia-compromised Behavior Model in studies of English-speaking subjects. Suggestions for further strengthening the scale and for extending its use to clinical applications are described.
本研究在一个跨文化样本中检验了扩展版的阿尔加斯游荡量表(第2版)(AWS-V2)的心理测量特性。采用了横断面调查设计。研究对象是来自美国、加拿大和澳大利亚长期护理机构的172名讲英语的痴呆症患者(PWD)。两名或更多的机构工作人员根据AWS-V2对每个受试者进行评分。还获取了人口统计学和认知数据(MMSE)。工作人员提供了他们自己对受试者及痴呆症的了解信息。对来自两个评分者样本的数据进行的单独因素分析,各自解释了AWS-V2分数中超过66%的方差,并验证了原始量表中五个因素中的四个(持续行走、导航缺陷、走失行为和尾随)。为创建AWS-V2而添加的项目强化了尾随子量表,未能改善常规行走子量表,并添加了一个因素,即与原始AWS相比的注意力转移。在AWS-V2与大多数子量表、游荡单项指标以及MMSE之间的显著相关性和方差分析中发现了效度证据。AWS-V2(0.87, 0.88)及其子量表(范围为0.88至0.66)的内部一致性、单个项目的kappa值(27个中有17个大于0.4)以及比较不同评分者组(护士、护工和其他工作人员)评分的方差分析显示了信度证据。分析支持AWS-V2总体以及持续行走、空间定向障碍和走失行为子量表的效度和信度。在以英语为母语的受试者研究中,AWS-V2及其子量表是测量需求驱动的痴呆行为模型中概念化的游荡的合适方式。描述了进一步强化该量表并将其应用扩展到临床的建议。