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横断面研究和纵向研究的眩晕障碍量表的测量特性。

Measurement properties of the Dizziness Handicap Inventory by cross-sectional and longitudinal designs.

机构信息

Faculty of Health Sciences, Oslo University College, Norway.

出版信息

Health Qual Life Outcomes. 2009 Dec 21;7:101. doi: 10.1186/1477-7525-7-101.

Abstract

BACKGROUND

The impact of dizziness on quality of life is often assessed by the Dizziness Handicap Inventory (DHI), which is used as a discriminate and evaluative measure. The aim of the present study was to examine reliability and validity of a translated Norwegian version (DHI-N), also examining responsiveness to important change in the construct being measured.

METHODS

Two samples (n = 92 and n = 27) included participants with dizziness of mainly vestibular origin. A cross-sectional design was used to examine the factor structure (exploratory factor analysis), internal consistency (Cronbach's alpha), concurrent validity (Pearson's product moment correlation r), and discriminate ability (ROC curve analysis). Longitudinal designs were used to examine test-retest reliability (intraclass correlation coefficient (ICC) statistics, smallest detectable difference (SDD)), and responsiveness (Pearson's product moment correlation, ROC curve analysis; area under the ROC curve (AUC), and minimally important change (MIC)). The DHI scores range from 0 to 100.

RESULTS

Factor analysis revealed a different factor structure than the original DHI, resulting in dismissal of subscale scores in the DHI-N. Acceptable internal consistency was found for the total scale (alpha = 0.95). Concurrent correlations between the DHI-N and other related measures were moderate to high, highest with Vertigo Symptom Scale-short form-Norwegian version (r = 0.69), and lowest with preferred gait (r = - 0.36). The DHI-N demonstrated excellent ability to discriminate between participants with and without 'disability', AUC being 0.89 and best cut-off point = 29 points. Satisfactory test-retest reliability was demonstrated, and the change for an individual should be >/= 20 DHI-N points to exceed measurement error (SDD). Correlations between change scores of DHI-N and other self-report measures of functional health and symptoms were high (r = 0.50 - 0.57). Responsiveness of the DHI-N was excellent, AUC = 0.83, discriminating between self-perceived 'improved' versus 'unchanged' participants. The MIC was identified as 11 DHI-N points.

CONCLUSIONS

The DHI-N total scale demonstrated satisfactory measurement properties. This is the first study that has addressed and demonstrated responsiveness to important change of the DHI, and provided values of SDD and MIC to help interpret change scores.

摘要

背景

头晕对生活质量的影响通常通过头晕残障程度评定量表(DHI)进行评估,该量表可用作鉴别和评价手段。本研究旨在检验经翻译后挪威文版(DHI-N)的信度和效度,同时还考察了对所测结构重要变化的反应能力。

方法

两个样本(n=92 和 n=27)包括以前庭源性头晕为主的患者。采用横断面设计来检验量表的结构(探索性因子分析)、内部一致性(克朗巴赫 α 系数)、同时效度(皮尔逊积差相关系数 r)和鉴别能力(ROC 曲线分析)。采用纵向设计检验测试-重测信度(组内相关系数 ICC 统计量、最小可检测差异 SDD)和反应能力(皮尔逊积差相关系数、ROC 曲线分析;ROC 曲线下面积 AUC 和最小临床重要差异 MIC)。DHI 评分范围为 0 至 100。

结果

因子分析显示,DHI-N 的因子结构与原始量表不同,导致取消了 DHI-N 的分量表评分。总量表的内部一致性可接受(α=0.95)。DHI-N 与其他相关测量方法之间的同期相关性为中等到高度,与眩晕症状量表-挪威文短版(r=0.69)的相关性最高,与首选步态(r=-0.36)的相关性最低。DHI-N 具有很好的鉴别能力,区分有无“残疾”的参与者,AUC 为 0.89,最佳截断点=29 分。测试-重测信度良好,个体变化应>/=20 分 DHI-N 点,以超过测量误差(SDD)。DHI-N 评分变化与其他功能健康和症状的自我报告测量方法之间的相关性较高(r=0.50-0.57)。DHI-N 的反应能力很好,AUC=0.83,能够区分自我感知“改善”与“不变”的参与者。MIC 确定为 11 分 DHI-N。

结论

DHI-N 总量表具有良好的测量特性。这是第一项研究表明 DHI 对重要变化具有反应能力,并提供了 SDD 和 MIC 值以帮助解释变化分数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d857/2804706/3be0c463b39d/1477-7525-7-101-1.jpg

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