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统一平衡量表:一种基于活动的、从床到社区的、与病因无关的平衡测量方法,经过拉什分析校准。

Unified Balance Scale: an activity-based, bed to community, and aetiology-independent measure of balance calibrated with Rasch analysis.

机构信息

Rehabilitation Medicine Unit, AUSL Modena, Modena, Italy.

出版信息

J Rehabil Med. 2011 Apr;43(5):435-44. doi: 10.2340/16501977-0797.

Abstract

OBJECTIVE

To build a new activity-based, "bed to community", aetiology-independent measure of balance within the neurological rehabilitation setting by merging some existing scales.

METHODS

Balance scales were selected using a conceptual framework and subsequently administered to a convenience sample of adult patients with balance problems due to different neurological aetiologies. Data were then processed using classical psychometric analyses and Rasch analysis in order to construct a new balance measurement tool.

RESULTS

The Berg Balance Scale, the Tinetti Scales and the Fullerton Advanced Balance Scale were selected and administered to a sample of patients, giving 302 observations. Classical psychometric analyses (item and scale analysis; confirmatory factor analysis) were undertaken on the pooled 40-item set with confirmation of unidimensionality. The subsequent Rasch analysis allowed the identification of a 27-item set satisfying the Rasch Model's requirements for fundamental measurement, with further confirmation of unidimensionality by post-hoc confirmatory factor analysis.

CONCLUSION

The new scale (Unified Balance Scale) holds proven measurement properties and may be a candidate tool for "bed to community" balance measurement for patients with balance problems within the neuro-rehabilitation setting. Future studies are warranted to explore further its external validity and other clinical properties, as well as to improve its usability.

摘要

目的

通过合并一些现有量表,在神经康复环境中建立一种新的基于活动的、与病因无关的平衡评估方法。

方法

使用概念框架选择平衡量表,然后对由于不同神经病因而导致平衡问题的成年患者进行便利抽样。然后使用经典心理测量学分析和 Rasch 分析对数据进行处理,以构建新的平衡测量工具。

结果

选择 Berg 平衡量表、Tinetti 量表和 Fullerton 高级平衡量表,并对患者样本进行了测试,共获得了 302 个观测值。对合并的 40 项集进行了经典心理测量学分析(项目和量表分析;验证性因子分析),并确认了其具有单一维度性。随后的 Rasch 分析允许确定满足 Rasch 模型基本测量要求的 27 项集,并通过事后验证性因子分析进一步确认其具有单一维度性。

结论

新量表(统一平衡量表)具有可靠的测量特性,可能成为神经康复环境中平衡问题患者“从病床到社区”的平衡测量候选工具。需要进一步的研究来探索其外部有效性和其他临床特性,并提高其可用性。

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