School of Medicine, The University of Notre Dame Australia, Sydney, NSW, Australia.
Department of Respiratory and Sleep Medicine, Liverpool Hospital, Sydney, NSW, Australia.
J Sleep Res. 2020 Oct;29(5):e13019. doi: 10.1111/jsr.13019. Epub 2020 Feb 28.
The Epworth Sleepiness Scale is used frequently to measure excessive daytime sleepiness in research and clinical settings, although there is limited evidence on test-retest reliability, particularly among sleep clinic populations. The objective of this study was to evaluate the reliability of this instrument among adult patients recruited from a public hospital sleep clinic in Sydney, Australia. English-speaking participants self-completed the Epworth Sleepiness Scale on two occasions, at the specialist clinic visit and on the night of diagnostic polysomnography. Of the 108 participants included in the study, the majority were male (64%) and the mean age was 51 years. The median retest interval was 64 days. The primary outcome of test-retest reliability as measured using the intraclass correlation coefficient was 0.73 (95% confidence interval, 0.61-0.82). Despite moderate statistical reliability and a low mean difference of 1.1, Bland-Altman analysis showed an unacceptably wide distribution of between-score differences. The 95% limits of agreement were -8.5 to +10.6, and an absolute difference in scores of at least 3 was observed in 60 (56%) of the participants. Our results suggest that the Epworth Sleepiness Scale should not be used in clinical settings to make individual-level comparisons, such as the effect of therapeutic interventions, or to prioritise access to services.
Epworth 嗜睡量表常用于研究和临床环境中测量日间过度嗜睡,但关于重测信度的证据有限,尤其是在睡眠诊所人群中。本研究的目的是评估该量表在澳大利亚悉尼一家公立医院睡眠诊所招募的成年患者中的可靠性。英语为母语的参与者在专家诊所就诊时和诊断性多导睡眠图检查当晚两次自行完成 Epworth 嗜睡量表。在纳入研究的 108 名参与者中,大多数为男性(64%),平均年龄为 51 岁。中位复测间隔为 64 天。使用组内相关系数衡量的重测信度的主要结果为 0.73(95%置信区间,0.61-0.82)。尽管统计学可靠性中等,平均差异仅为 1.1,但 Bland-Altman 分析显示评分差异的分布范围不可接受地宽。95%的一致性界限为-8.5 至+10.6,在 60 名参与者(56%)中观察到评分差异至少为 3。我们的研究结果表明,在临床环境中,不应使用 Epworth 嗜睡量表进行个体水平的比较,例如治疗干预的效果,或确定优先获得服务的顺序。