Stokes Elizabeth A, Stott Richard, Henry Alasdair L, Espie Colin A, Miller Christopher B
Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford, UK.
BJGP Open. 2022 Dec 20;6(4). doi: 10.3399/BJGPO.2022.0090. Print 2022 Dec.
Insomnia is common, and difficulty with daytime functioning is a core symptom. Studies show cognitive behavioural therapy (CBT) improves functioning, but evidence is needed on its value for money. Quality-adjusted life years (QALYs), capturing length and quality of life, provide a standard metric by which to judge whether a treatment is worth its cost. Studies have found QALY gains with therapist-delivered and therapist-guided CBT, but most have not reached statistical significance. Estimates of QALY gains with fully automated digital CBT (dCBT) for insomnia are lacking.
To assess whether dCBT (Sleepio) for insomnia is associated with gains in QALYs compared with a sleep hygiene education control.
DESIGN & SETTING: A secondary analysis of a large effectiveness trial of 1711 participants from the UK, US, and Australia.
EQ-5D scores, the National Institute for Health and Care Excellence's (NICE's) preferred measure of health-related quality of life (HRQoL), were predicted (mapped) from the 10-item Patient-Reported Outcomes Measurement Information System (PROMIS-10) Global Health scores and used to determine QALYs from baseline to 24 weeks (controlled), and to 48 weeks (uncontrolled).
At week 24, QALYs were significantly higher for the dCBT group, with mean QALYs 0.375 and 0.362 in the dCBT and control groups, respectively. The mean difference was 0.014 (95% confidence interval [CI] = 0.008 to 0.019), and this difference was maintained over the 48-week study period (0.026, 95% CI = 0.016 to 0.036). The difference of 0.026 QALYs is equivalent to 9.5 days in perfect health.
Sleepio is associated with statistically significant gains in QALYs over time compared with control. Findings may be used to power future studies and inform cost-effectiveness analyses of automated dCBT for insomnia scaled to a population level.
失眠很常见,日间功能障碍是其核心症状。研究表明,认知行为疗法(CBT)可改善功能,但需要有关于其性价比的证据。质量调整生命年(QALY)综合考量了生命长度和生活质量,提供了一个用以判断一种治疗是否物有所值的标准指标。研究发现,由治疗师提供和指导的CBT能带来QALY的提升,但大多数研究结果未达到统计学显著性。目前缺乏关于完全自动化数字CBT(dCBT)治疗失眠所带来的QALY提升的评估。
评估与睡眠卫生教育对照组相比,用于治疗失眠的dCBT(Sleepio)是否能带来QALY的提升。
对一项来自英国、美国和澳大利亚的1711名参与者的大型有效性试验进行二次分析。
从10项患者报告结局测量信息系统(PROMIS - 10)全球健康评分中预测(映射)出EQ - 5D评分,这是英国国家卫生与临床优化研究所(NICE)首选的健康相关生活质量(HRQoL)测量指标,并用于确定从基线到24周(对照期)以及到48周(非对照期)的QALY。
在第24周时,dCBT组的QALY显著更高,dCBT组和对照组的平均QALY分别为0.375和0.362。平均差异为0.014(95%置信区间[CI] = 0.008至0.019),且在48周的研究期间该差异得以维持(0.026,95% CI = 0.016至0.036)。0.026个QALY的差异相当于9.5天的完全健康状态。
与对照组相比,随着时间推移,Sleepio在QALY方面有统计学显著提升。研究结果可用于为未来研究提供动力,并为针对失眠人群规模的自动化dCBT的成本效益分析提供参考。