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阿尔加西游走量表在门诊阿尔茨海默病样本中的效用。

Utility of the Algase Wandering Scale in an outpatient Alzheimer's disease sample.

作者信息

Marcus Jacqueline F, Cellar Janet S, Ansari Farzaneh Pour, Bliwise Donald L

机构信息

Department of Neurology, Emory University School of Medicine, Atlanta, GA 30329, USA.

出版信息

Int J Geriatr Psychiatry. 2007 Aug;22(8):801-5. doi: 10.1002/gps.1745.

DOI:10.1002/gps.1745
PMID:17193340
Abstract

BACKGROUND

Wandering represents a major problem in the management of patients with Alzheimer's disease (AD). In this study we examined the utility of the Algase Wandering Scale (AWS), a newly developed psychometric instrument that asks caregivers to assess the likelihood of wandering behavior.

METHODS

The AWS was administered to the caregivers of 40 AD patients and total and subscale scores were examined in relation to measures of mental and functional status, depressive symptoms and medication usage.

RESULTS

AWS scores were comparable, though slightly lower, than those normative values previously published. Higher scores were associated with more severe dementia. The Negative Outcome subscale showed a significant increase in reported falls or injuries in association with anti-depressant use.

CONCLUSIONS

These data provide some construct validation for the AWS as a potentially useful scale to assess wandering behaviors in AD.

摘要

背景

徘徊是阿尔茨海默病(AD)患者管理中的一个主要问题。在本研究中,我们检验了阿尔加斯徘徊量表(AWS)的效用,这是一种新开发的心理测量工具,要求护理人员评估徘徊行为的可能性。

方法

对40名AD患者的护理人员进行AWS评估,并根据心理和功能状态、抑郁症状及药物使用情况检查总分及分量表得分。

结果

AWS得分与先前公布的标准值相当,不过略低。得分越高与痴呆越严重相关。消极结果分量表显示,使用抗抑郁药与报告的跌倒或受伤显著增加有关。

结论

这些数据为AWS作为评估AD患者徘徊行为的潜在有用量表提供了一些结构效度验证。

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