Distribution-based criteria for change in health-related quality of life in Parkinson's disease
Distribution-based criteria for change in health-related quality of life in Parkinson's disease
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DOI：
10.1016/j.jclinepi.2003.07.003
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发表时间：
2004-01-01
影响因子：
7.2
通讯作者：
Jenkinson, C
中科院分区：
文献类型：
--
作者：
Fitzpatrick, R;Norquist, JA;Jenkinson, C
背景和目的：健康相关生活质量（HRQoL）测量的结果必须是可解释的。这篇文章的目的是检查统计（分布）方法的可解释性。采用测量标准误（SEM）和差异标准误（S-diff）对帕金森病患者资料进行分析，计算出帕金森病HRQoL量表PDQ-39各维度具有统计学意义所需的最小变化分值。在这两项研究中，PDQ-39在基线和随访时进行管理。结果：除了社会支持外，在所有维度上，不同时间段和样本之间的SEM和S（diff）s模式相似。结果表明，例如，6个点的变化对0-100转换得分的流动性方面可以被认为是一个最小的有意义的变化分布的理由。对于PDQ-39的大多数维度，SEM和S-diff样本的不同场合和类型的一致性证明了该样本独立性测量的理论优势，并支持使用该分布方法以最小化有意义的变化。(C)2004年爱思唯尔公司All rights reserved.
Background and Objective: To be useful, results from health-related quality of life (HRQoL) measures must be interpretable. The objective of this article is to examine statistical (distributional) approaches to interpretability. The standard error of measurement (SEM) and the standard error of the difference (S-diff) are used in data on individuals with Parkinson's disease to calculate the minimum change scores required to be statistically meaningful for each dimension of an instrument to assess HRQoL in Parkinson's disease, the PDQ-39.Methods: Data was collected from both a community and a clinic study; in both studies the PDQ-39 was administered at baseline and follow-up.Results: The patterns of SEMs and S(diff)s were similar both across time periods and between samples, for all dimensions except Social Support.Conclusions: The results suggest that, for example, six points change on a 0-100 transformed scoring of the Mobility dimension may be considered on distributional grounds a minimum meaningful change. The demonstrated consistency across occasions and types of sample of SEMs and S-diff for the majority of the dimensions of the PDQ-39, is evidence of the theoretically claimed advantage of this measure of sample independence, and supports use of this distributional approach to minimum meaningful change. (C) 2004 Elsevier Inc. All rights reserved.