癌症患者的睡眠质量:几种测量睡眠质量的工具的共同指标。
Sleep quality in cancer patients: a common metric for several instruments measuring sleep quality.
机构信息
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Comprehensive Cancer Center Central Germany (CCCG), Leipzig, Germany.
出版信息
Qual Life Res. 2024 Nov;33(11):3081-3091. doi: 10.1007/s11136-024-03752-7. Epub 2024 Aug 5.
PURPOSE
Sleep problems are frequently observed in cancer patients. Multiple questionnaires for assessing sleep quality have been developed. The aim of this study was to present transfer rules that allow the conversion of the patients' scores from one questionnaire to another. In addition, we anchored this common metric to the general population.
METHODS
A sample of 1,733 cancer patients completed the following questionnaires: Pittsburgh Sleep Quality Index, Insomnia Sleep Index, Jenkins Sleep Scale, EORTC QLQ-C30, and the sleep scale of the EORTC QLQ-SURV100. The methods for establishing a common metric were based on Item Response Theory.
RESULTS
The main result of the study is a figure that allows the conversion from one of the above-mentioned sleep scales into another. Furthermore, the scores of the questionnaires can be transferred to theta scores that indicate the position within the group of cancer patients and also to T scores that indicate the position in relation to the general population. The correlations between the sleep scales ranged between 0.70 and 0.85.
CONCLUSIONS
The conversion rules presented in the study enable researchers and clinicians to directly compare single scores or mean scores across studies using different sleep scales, to assess the degree of sleep problems with regard to the general population, and to relate cutoff scores from one questionnaire to another.
目的
癌症患者常出现睡眠问题。已经开发出多种用于评估睡眠质量的问卷。本研究旨在提出转换规则,使患者在不同问卷上的得分可以相互转换。此外,我们将这一通用指标与普通人群进行了锚定。
方法
1733 名癌症患者完成了以下问卷:匹兹堡睡眠质量指数、失眠睡眠指数、詹金斯睡眠量表、EORTC QLQ-C30 和 EORTC QLQ-SURV100 睡眠量表。建立通用指标的方法基于项目反应理论。
结果
本研究的主要结果是一个图表,允许将上述睡眠量表中的一个转换为另一个。此外,问卷的分数可以转换为 theta 分数,这表示在癌症患者群体中的位置,也可以转换为 T 分数,这表示与普通人群的关系。睡眠量表之间的相关性在 0.70 到 0.85 之间。
结论
本研究中提出的转换规则使研究人员和临床医生能够直接比较使用不同睡眠量表的研究中的单个分数或平均分数,评估与普通人群相比的睡眠问题程度,并将一个问卷的截止分数转换为另一个。