Expert Consensus on Digital Therapies for Insomnia in China

doi:10.12114/j.issn.1007-9572.2023.0602

Abstract

Abstract:

Insomnia is the most common sleep disorder, which not only causes individual health damage, but also brings heavy social and economic burden. The traditional insomnia treatment model has the disadvantages of complicated process and high cost. With the development of information technology, the more convenient and low-cost digital therapy for insomnia (DTI) has been increasingly utilized. However, there is still a lack of standardized guidelines for DTI globally. To address this issue, the China Sleep Research Society collaborated with domestic experts in sleep medicine and medical engineering to develop the Expert Consensus on Digital Therapies for Insomnia in China, elaborates on the definition, indications, core principles, research and development, promotion and application, education and training, data protection, ethical supervision, aiming to establish a unified and comprehensive framework for DTI.

Key words: Digital therapeutics, Insomnia, Sleep disorders, Expert consensus

摘要： 失眠症是最常见的睡眠障碍，不但引起个体的健康损害，而且可带来沉重的社会经济负担。传统的失眠治疗模式存在过程复杂、成本较高等弊端。随着信息技术的发展，更为便捷和低成本的失眠数字疗法（DTI）已经得到越来越多的运用。然而，目前国内外尚缺乏DTI的相关规范。为此，中国睡眠研究会组织国内睡眠医学和医学工程领域的专家，依据国内外研究进展，制订《失眠数字疗法中国专家共识》，针对DTI的定义、适应证、核心原理、研发设计、推广应用、教育培训、数据保护、伦理监管等进行阐述，以期为DTI提供全面而规范的参考和建议。

关键词: 数字疗法, 失眠症, 睡眠障碍, 专家共识

China Sleep Research Society. Expert Consensus on Digital Therapies for Insomnia in China[J]. Chinese General Practice, 2024, 27(04): 381-390. DOI: 10.12114/j.issn.1007-9572.2023.0602.
中国睡眠研究会. 失眠数字疗法中国专家共识[J]. 中国全科医学, 2024, 27(04): 381-390. DOI: 10.12114/j.issn.1007-9572.2023.0602.

Figures/Tables 1

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级别	说明
证据等级
高（A）	确信：真实的效应值接近效应估计值
中（B）	对效应估计值有中等程度的信心：真实值有可能接近估计值，但仍存在二者大不相同的可能性
低（C）	对效应估计值的信心程度有限：真实值可能与估计值大不相同
极低（D）	对效应估计值几乎没有信心：真实值很可能与估计值大不相同
推荐强度
强（1）	明确显示干预措施利大于弊或弊大于利
弱（2）	利弊不确定或无论质量高低的证据均显示利弊相当

级别	说明
证据等级
高（A）	确信：真实的效应值接近效应估计值
中（B）	对效应估计值有中等程度的信心：真实值有可能接近估计值，但仍存在二者大不相同的可能性
低（C）	对效应估计值的信心程度有限：真实值可能与估计值大不相同
极低（D）	对效应估计值几乎没有信心：真实值很可能与估计值大不相同
推荐强度
强（1）	明确显示干预措施利大于弊或弊大于利
弱（2）	利弊不确定或无论质量高低的证据均显示利弊相当