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开发一种用于日常生活活动的新指标。

Developing a new metric for ADLs.

作者信息

Finch M, Kane R L, Philp I

机构信息

Institute for Health Services Research, School of Public Health, University of Minnesota, Minneapolis 55455, USA.

出版信息

J Am Geriatr Soc. 1995 Aug;43(8):877-84. doi: 10.1111/j.1532-5415.1995.tb05530.x.

Abstract

BACKGROUND

Most ADL summary measures add up the number of dependencies. They assume an equal weighting among items and require an arbitrary definition of dependency.

METHODS

A panel of experts in geriatrics was asked to rate a set of ADL and IADL components in terms of the contribution of each to overall dependency using a magnitude estimation (ME) technique. The ratings were done for both domains and for levels of function within each domain. The resultant scores were compared with the usual dependency count approach.

RESULTS

The distribution of weighted items appears to have face validity. The pattern of dependency traced by the ME model was intermediate between those created by simple counts with two different definitions of dependency. The ME approach has stronger statistical properties than the ordinal scoring approach.

CONCLUSIONS

The ME approach appears to be a reasonable and workable method for creating a measure that permits meaningful statements about the mean value of functional dependencies. This result can be used for any comparison of means, such as across individuals, across aggregates of individuals, or across time.

摘要

背景

大多数日常生活活动(ADL)汇总测量方法是将依赖项的数量相加。它们假定各项之间权重相等,并且需要对依赖项进行任意定义。

方法

邀请一组老年医学专家使用量级估计(ME)技术,根据每项对总体依赖程度的贡献,对一组ADL和工具性日常生活活动(IADL)组件进行评分。对两个领域以及每个领域内的功能水平都进行了评分。将所得分数与常用的依赖项计数方法进行比较。

结果

加权项目的分布似乎具有表面效度。ME模型所追踪的依赖模式介于使用两种不同依赖项定义的简单计数所创建的模式之间。ME方法比序数评分方法具有更强的统计特性。

结论

ME方法似乎是一种合理且可行的方法,可用于创建一种能够对功能依赖的平均值做出有意义陈述的测量方法。该结果可用于任何均值比较,例如个体之间、个体集合之间或不同时间之间的比较。

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