失眠数字疗法中国专家共识

doi:10.12114/j.issn.1007-9572.2023.0602

中国全科医学 ›› 2024, Vol. 27 ›› Issue (04): 381-390.DOI: 10.12114/j.issn.1007-9572.2023.0602

所属专题：指南/共识最新文章合辑；基层信息化建设最新文章合辑；睡眠问题专题研究

失眠数字疗法中国专家共识

中国睡眠研究会

收稿日期:2023-09-20 修回日期:2023-10-05 出版日期:2024-02-05 发布日期:2023-11-09
基金资助:
"十四五"国家重点研发计划项目(2021YFC2501500); 广东省科技计划项目(207157464043); 南方医科大学南方医院临床研究专项(2021CR009)

Expert Consensus on Digital Therapies for Insomnia in China

China Sleep Research Society

Received:2023-09-20 Revised:2023-10-05 Published:2024-02-05 Online:2023-11-09

摘要/Abstract

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

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

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.
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.

图/表 1

参考文献 84

[1]	American Academy of Sleep Medicine. ICSD-3 TR：International Classification of Sleep Disorders[M]. 3rd ed. USA：American Academy of Sleep Medicine，2023.
[2]	张斌. 中国失眠障碍诊断和治疗指南[M]. 北京：人民卫生出版社，2016.
[3]	中国睡眠研究会. 中国失眠症诊断和治疗指南[J]. 中华医学杂志，2017，97(24):1844-1856. DOI：10.3760/cma.j.issn.0376-2491.2017.24.002.
[4]	中华医学会神经病学分会，中华医学会神经病学分会睡眠障碍学组. 中国成人失眠诊断与治疗指南（2017版）[J]. 中华神经科杂志，2018，51(5):324-335. DOI：10.3760/cma.j.issn.1006-7876.2018.05.002.
[5]	杨璐璐，康尹之，张菀凌，等. 网络化认知行为治疗在失眠障碍中的应用和研究进展[J]. 南方医科大学学报，2020，40(1):142-146. DOI：10.12122/j.issn.1673-4254.2020.01.23.
[6]	陈耀龙，杨克虎，王小钦，等. 中国制订/修订临床诊疗指南的指导原则（2022版）[J]. 中华医学杂志，2022，102(10):697-703. DOI：10.3760/cma.j.cn112137-20211228-02911.
[7]	ATKINS D, ECCLES M, FLOTTORP S, et al. Systems for grading the quality of evidence and the strength of recommendationsⅠ：critical appraisal of existing approaches The GRADE Working Group[J]. BMC Health Serv Res，2004，4(1):38. DOI：10.1186/1472-6963-4-38.
[8]	陈薇，方赛男，刘建平，等. 国际循证医学证据分级体系的发展与现状[J]. 中国中西医结合杂志，2017，37(12):1413-1419. DOI：10.7661/j.cjim.20171114.267.
[9]	Digital Therapeutics Alliance. Digital therapeutics definition and core principle[EB/OL]. (2023-10-06)[2023-10-06].
[10]	中华医学会神经病学分会痴呆与认知障碍学组，认知数字疗法中国专家共识写作组. 认知数字疗法中国专家共识（2023）[J]. 中华医学杂志，2023，103(9):640-647. DOI：10.3760/cma.j.cn112137-20221121-02441.
[11]	JACKSON M L, MEAKLIM H, MASON E C. Digital therapies for insomnia[M]//Digital Mental Health. Cham：Springer International Publishing，2023：95-114.
[12]	ERTEN UYUMAZ B, FEIJS L, HU J. A review of digital cognitive behavioral therapy for insomnia（CBT-I apps）：are they designed for engagement?[J]. Int J Environ Res Public Health，2021，18(6):2929. DOI：10.3390/ijerph18062929.
[13]	BORBÉLY A A, DAAN S, WIRZ-JUSTICE A, et al. The two-process model of sleep regulation：a reappraisal[J]. J Sleep Res，2016，25(2):131-143. DOI：10.1111/jsr.12371.
[14]	SPIELMAN A J, CARUSO L S, GLOVINSKY P B. A behavioral perspective on insomnia treatment[J]. Psychiatr Clin North Am，1987，10(4):541-553.
[15]	QASEEM A, KANSAGARA D, FORCIEA M A, et al. Management of chronic insomnia disorder in adults：a clinical practice guideline from the American college of physicians[J]. Ann Intern Med，2016，165(2):125-133. DOI：10.7326/M15-2175.
[16]	EDINGER J D, ARNEDT J T, BERTISCH S M, et al. Behavioral and psychological treatments for chronic insomnia disorder in adults：an American Academy of Sleep Medicine systematic review，meta-analysis，and GRADE assessment[J]. J Clin Sleep Med，2021，17(2):263-298. DOI：10.5664/jcsm.8988.
[17]	STRÖM L, PETTERSSON R, ANDERSSON G. Internet-based treatment for insomnia：a controlled evaluation[J]. J Consult Clin Psychol，2004，72(1):113-120. DOI：10.1037/0022-006x.72.1.113.
[18]	MUNAFO D, LOEWY D, REUBEN K, et al. Sleep deprivation and the workplace：prevalence，impact，and solutions[J]. Am J Health Promot，2018，32(7):1644-1646. DOI：10.1177/0890117118790621e.
[19]	KUHN E, WEISS B J, TAYLOR K L, et al. CBT-I coach：a description and clinician perceptions of a mobile app for cognitive behavioral therapy for insomnia[J]. J Clin Sleep Med，2016，12(4):597-606. DOI：10.5664/jcsm.5700.
[20]	THORNDIKE F P, BERRY R B, GERWIEN R, et al. Protocol for Digital Real-world Evidence trial for Adults with insomnia treated via Mobile（DREAM）：an open-label trial of a prescription digital therapeutic for treating patients with chronic insomnia[J]. J Comp Eff Res，2021，10(7):569-581. DOI：10.2217/cer-2021-0004.
[21]	DOZEMAN E, VERDONCK-DE LEEUW I M, SAVARD J, et al. Guided web-based intervention for insomnia targeting breast cancer patients：feasibility and effect[J]. Internet Interv，2017，9:1-6. DOI：10.1016/j.invent.2017.03.005.
[22]	HARBISON B R, COLE J, WETZLER R, et al. 0408 evaluation of A CBT-I self-help program administered by A mobile app[J]. Sleep，2018，41(suppl 1):A155. DOI：10.1093/sleep/zsy061.407.
[23]	BEAULAC J, VINCENT N, WALSH K. Dissemination of an Internet-based treatment for chronic insomnia into primary care[J]. Behav Sleep Med，2015，13(2):124-139. DOI：10.1080/15402002.2013.845780.
[24]	RITTERBAND L M, THORNDIKE F P, INGERSOLL K S, et al. Effect of a web-based cognitive behavior therapy for insomnia intervention with 1-year follow-up：a randomized clinical trial[J]. JAMA Psychiatry，2017，74(1):68-75. DOI：10.1001/jamapsychiatry.2016.3249.
[25]	ESPIE C A, KYLE S D, WILLIAMS C, et al. A randomized，placebo-controlled trial of online cognitive behavioral therapy for chronic insomnia disorder delivered via an automated media-rich web application[J]. Sleep，2012，35(6):769-781. DOI：10.5665/sleep.1872.
[26]	EYAL S, ALTMAN Y, BAHARAV A. 1010 sleep related recovery in athletes：the role of heart rate variability parameters[J]. Sleep，2019，42(Supplement 1):A406-407. DOI：10.1093/sleep/zsz067.1007.
[27]	PULANTARA I W, PARMANTO B, GERMAIN A. Clinical feasibility of a just-in-time adaptive intervention app（iREST） as a behavioral sleep treatment in a military population：feasibility comparative effectiveness study[J]. J Med Internet Res，2018，20(12):e10124. DOI：10.2196/10124.
[28]	MORIN C M. Profile of somryst prescription digital therapeutic for chronic insomnia：overview of safety and efficacy[J]. Expert Rev Med Devices，2020，17(12):1239-1248. DOI：10.1080/17434440.2020.1852929.
[29]	朱君鹏. 基于Android慢性失眠症远程管理系统的研究[D]. 重庆：重庆大学，2016.
[30]	林玲. 远程CBTI对慢性失眠症的临床研究[D]. 重庆：第三军医大学，2016.
[31]	LIU X C, LI Y H, YAN R, et al. The platform development，adherence and efficacy to a digital Brief therapy for insomnia（dBTI） during the COVID-19 pandemic[J]. Methods，2022，205:39-45. DOI：10.1016/j.ymeth.2022.04.016.
[32]	ZHANG C X, ZENG S F, XU Y, et al. Baseline symptoms of depression and anxiety negatively impact the effectiveness of CBTi in treating acute insomnia among young adults[J]. Gen Psychiatr，2023，36(3):e101013. DOI：10.1136/gpsych-2023-101013.
[33]	YANG L L, ZHANG J H, LUO X, et al. Effectiveness of one-week Internet-delivered cognitive behavioral therapy for insomnia to prevent progression from acute to chronic insomnia：a two-arm，multi-center，randomized controlled trial[J]. Psychiatry Res，2023，321:115066. DOI：10.1016/j.psychres.2023.115066.
[34]	钟小景，王晶，杨文娇，等. 基于微信平台的认知行为干预对改善医学生睡眠质量的研究[J]. 职业与健康，2019，35(24):3424-3432; 3424-3427,3432. DOI：10.3760/cma.j.issn.0578-1426.2019.01.010.
[35]	ZHANG C, LIU Y X, GUO X M, et al. Digital cognitive behavioral therapy for insomnia using a smartphone application in China：a pilot randomized clinical trial[J]. JAMA Netw Open，2023，6(3):e234866. DOI：10.1001/jamanetworkopen.2023.4866.
[36]	LIANG S G, MAO H J, YANG J Y, et al. Digital cognitive behavior therapy for insomnia improving sleep quality：a real-world study[J]. BMC Psychiatry，2022，22(1):768. DOI：10.1186/s12888-022-04411-2.
[37]	HASAN F, TU Y K, YANG C M, et al. Comparative efficacy of digital cognitive behavioral therapy for insomnia：a systematic review and network meta-analysis[J]. Sleep Med Rev，2022，61:101567. DOI：10.1016/j.smrv.2021.101567.
[38]	GAO Y, GE L, LIU M, et al. Comparative efficacy and acceptability of cognitive behavioral therapy delivery formats for insomnia in adults：a systematic review and network meta-analysis[J]. Sleep Med Rev，2022，64:101648. DOI：10.1016/j.smrv.2022.101648.
[39]	CLIFFE B, CROKER A, DENNE M, et al. Digital cognitive behavioral therapy for insomnia for adolescents with mental health problems：feasibility open trial[J]. JMIR Ment Health，2020，7(3):e14842. DOI：10.2196/14842.
[40]	HINRICHSEN G A, LEIPZIG R M. Implementation and effectiveness of cognitive behavioral therapy for insomnia in geriatric primary care[J]. Clin Gerontol，2022:1-8. DOI：10.1080/07317115.2022.2104675.
[41]	KALMBACH D A, CHENG P, O'BRIEN L M, et al. A randomized controlled trial of digital cognitive behavioral therapy for insomnia in pregnant women[J]. Sleep Med，2020，72:82-92. DOI：10.1016/j.sleep.2020.03.016.
[42]	GOSLING J A, BATTERHAM P, RITTERBAND L, et al. Online insomnia treatment and the reduction of anxiety symptoms as a secondary outcome in a randomised controlled trial：the role of cognitive-behavioural factors[J]. Aust N Z J Psychiatry，2018，52(12):1183-1193. DOI：10.1177/0004867418772338.
[43]	GLOZIER N, CHRISTENSEN H, GRIFFITHS K M, et al. Adjunctive Internet-delivered cognitive behavioural therapy for insomnia in men with depression：a randomised controlled trial[J]. Aust N Z J Psychiatry，2019，53(4):350-360. DOI：10.1177/0004867418797432.
[44]	SWEETMAN A, MCEVOY R D, SMITH S, et al. The effect of cognitive and behavioral therapy for insomnia on week-to-week changes in sleepiness and sleep parameters in patients with comorbid insomnia and sleep apnea：a randomized controlled trial[J]. Sleep，2020，43(7):zsaa002. DOI：10.1093/sleep/zsaa002.
[45]	ZACHARIAE R, AMIDI A, DAMHOLDT M F, et al. Internet-delivered cognitive-behavioral therapy for insomnia in breast cancer survivors：a randomized controlled trial[J]. J Natl Cancer Inst，2018，110(8):880-887. DOI：10.1093/jnci/djx293.
[46]	MCGRATH E R, ESPIE C A, POWER A, et al. Sleep to lower elevated blood pressure：a randomized controlled trial（SLEPT）[J]. Am J Hypertens，2017，30(3):319-327. DOI：10.1093/ajh/hpw132.
[47]	张斌，张黎黎，陈施雅，等. 在线失眠认知行为治疗干预慢性失眠的开放性随机对照研究[J]. 中华精神科杂志，2019，52(6):373-378. DOI：10.3760/cma.j.issn.1006-7884.2019.06.003.
[48]	SCHWARTZ A R, COHEN-ZION M, PHAM L V, et al. Brief digital sleep questionnaire powered by machine learning prediction models identifies common sleep disorders[J]. Sleep Med，2020，71:66-76. DOI：10.1016/j.sleep.2020.03.005.
[49]	AJI M, GLOZIER N, BARTLETT D J, et al. The effectiveness of digital insomnia treatment with adjunctive wearable technology：a pilot randomized controlled trial[J]. Behav Sleep Med，2022，20(5):570-583. DOI：10.1080/15402002.2021.1967157.
[50]	BENZ F, KNOOP T, BALLESIO A, et al. The efficacy of cognitive and behavior therapies for insomnia on daytime symptoms：a systematic review and network meta-analysis[J]. Clin Psychol Rev，2020，80:101873. DOI：10.1016/j.cpr.2020.101873.
[51]	VEDAA Ø, KALLESTAD H, SCOTT J, et al. Effects of digital cognitive behavioural therapy for insomnia on insomnia severity：a large-scale randomised controlled trial[J]. Lancet Digit Health，2020，2(8):e397-406. DOI：10.1016/S2589-7500(20)30135-7.
[52]	BRAMOWETH A D, LEDERER L G, YOUK A O, et al. Brief behavioral treatment for insomnia vs. cognitive behavioral therapy for insomnia：results of a randomized noninferiority clinical trial among veterans[J]. Behav Ther，2020，51(4):535-547. DOI：10.1016/j.beth.2020.02.002.
[53]	HARRIS J, LACK L, KEMP K, et al. A randomized controlled trial of intensive sleep retraining（ISR）：a brief conditioning treatment for chronic insomnia[J]. Sleep，2012，35(1):49-60. DOI：10.5665/sleep.1584.
[54]	HARRIS J, LACK L, WRIGHT H, et al. Intensive Sleep Retraining treatment for chronic primary insomnia：a preliminary investigation[J]. J Sleep Res，2007，16(3):276-284. DOI：10.1111/j.1365-2869.2007.00595.x.
[55]	SCOTT H, BENSEN-BOAKES D B, LOVATO N, et al. The efficacy of intensive sleep retraining for insomnia：a systematic review and research agenda[J]. J Sleep Res，2023:e13894. DOI：10.1111/jsr.13894.
[56]	MicroSleep. Sleep On Cue-Research Application（Version 1.1），（Mobile application software）[CP/OL].
[57]	SCOTT H, LACK L, LOVATO N. A pilot study of a novel smartphone application for the estimation of sleep onset[J]. J Sleep Res，2018，27(1):90-97. DOI：10.1111/jsr.12575.
[58]	LACK L, SCOTT H, LOVATO N. Intensive sleep retraining treatment of insomnia[J]. Sleep Med Clin，2019，14(2):245-252. DOI：10.1016/j.jsmc.2019.01.005.
[59]	SCOTT H, LACK L, LOVATO N. A systematic review of the accuracy of sleep wearable devices for estimating sleep onset[J]. Sleep Med Rev，2020，49:101227. DOI：10.1016/j.smrv.2019.101227.
[60]	BENSEN-BOAKES D B, MURALI T, LOVATO N, et al. Wearable device-delivered intensive sleep retraining as an adjunctive treatment to kickstart cognitive-behavioral therapy for insomnia[J]. Sleep Med Clin，2023，18(1):49-57. DOI：10.1016/j.jsmc.2022.09.006.
[61]	HUBERTY J, PUZIA M E, GREEN J, et al. A mindfulness meditation mobile app improves depression and anxiety in adults with sleep disturbance：analysis from a randomized controlled trial[J]. Gen Hosp Psychiatry，2021，73:30-37. DOI：10.1016/j.genhosppsych.2021.09.004.
[62]	LAWRENSON J G, HULL C C, DOWNIE L E. The effect of blue-light blocking spectacle lenses on visual performance，macular health and the sleep-wake cycle：a systematic review of the literature[J]. Ophthalmic Physiol Opt，2017，37(6):644-654. DOI：10.1111/opo.12406.
[63]	LEERSSEN J, LAKBILA-KAMAL O, DEKKERS L M S, et al. Treating insomnia with high risk of depression using therapist-guided digital cognitive，behavioral，and circadian rhythm support interventions to prevent worsening of depressive symptoms：a randomized controlled trial[J]. Psychother Psychosom，2022，91(3):168-179. DOI：10.1159/000520282.
[64]	ZHANG Y Y, CORDINA-DUVERGER E, KOMARZYNSKI S, et al. Digital circadian and sleep health in individual hospital shift workers：a cross sectional telemonitoring study[J]. EBioMedicine，2022，81:104121. DOI：10.1016/j.ebiom.2022.104121.
[65]	CORTOOS A, VALCK E, ARNS M, et al. An exploratory study on the effects of tele-neurofeedback and tele-biofeedback on objective and subjective sleep in patients with primary insomnia[J]. Appl Psychophysiol Biofeedback，2010，35(2):125-134. DOI：10.1007/s10484-009-9116-z.
[66]	DE ZAMBOTTI M, YUKSEL D, KISS O, et al. A virtual reality-based mind-body approach to downregulate psychophysiological arousal in adolescent insomnia[J]. Digit Health，2022，8:20552076221107887. DOI：10.1177/20552076221107887.
[67]	NGO H V, MARTINETZ T, BORN J, et al. Auditory closed-loop stimulation of the sleep slow oscillation enhances memory[J]. Neuron，2013，78(3):545-553. DOI：10.1016/j.neuron.2013.03.006.
[68]	KRONE L B, FEHÉR K D, RIVERO T, et al. Brain stimulation techniques as novel treatment options for insomnia：a systematic review[J]. J Sleep Res，2023:e13927. DOI：10.1111/jsr.13927.
[69]	Food and Drug Administration. Applying human factors and usability engineering to medical devices：guidance for industry and Food and Drug Administration staff[A/OL]. The Federal Register/FIND，2016，81.
[70]	HARRISON R, FLOOD D, DUCE D. Usability of mobile applications：literature review and rationale for a new usability model[J]. J Interact Sci，2013，1(1):1-16. DOI：10.1186/2194-0827-1-1.
[71]	SHECHTER A, QUISPE K A, MIZHQUIRI BARBECHO J S, et al. Interventions to reduce short-wavelength（"blue"） light exposure at night and their effects on sleep：a systematic review and meta-analysis[J]. Sleep Adv，2020，1(1):zpaa002. DOI：10.1093/sleepadvances/zpaa002.
[72]	CHRISTENSEN M A, BETTENCOURT L, KAYE L, et al. Direct measurements of smartphone screen-time：relationships with demographics and sleep[J]. PLoS One，2016，11(11):e0165331. DOI：10.1371/journal.pone.0165331.
[73]	JANSSEN X, MARTIN A, HUGHES A R, et al. Associations of screen time，sedentary time and physical activity with sleep in under 5s：a systematic review and meta-analysis[J]. Sleep Med Rev，2020，49:101226. DOI：10.1016/j.smrv.2019.101226.
[74]	XU S, FAUST O, SEONI S, et al. A review of automated sleep disorder detection[J]. Comput Biol Med，2022，150:106100. DOI：10.1016/j.compbiomed.2022.106100.
[75]	FIGUEROA C A, AGUILERA A, CHAKRABORTY B, et al. Adaptive learning algorithms to optimize mobile applications for behavioral health：guidelines for design decisions[J]. J Am Med Inform Assoc，2021，28(6):1225-1234. DOI：10.1093/jamia/ocab001.
[76]	TRELLA A L, ZHANG K W, NAHUM-SHANI I, et al. Designing reinforcement learning algorithms for digital interventions：pre-implementation guidelines[J]. Algorithms，2022，15(8):255. DOI：10.3390/a15080255.
[77]	ZHANG L Q, LIU Y R, LIU X, et al. Gamified adaptive approach bias modification：a pilot RCT in individuals with methamphetamine use history[EB/OL].(2023-08-24)[2023-09-12].
[78]	BOMMASANI R, LIANG P, LEE T. Holistic Evaluation of Language Models[J]. Ann N Y Acad Sci，2023，1525(1):140-146. DOI：10.1111/nyas.15007.
[79]	HAUPT C E, MARKS M. AI-generated medical advice-GPT and beyond[J]. JAMA，2023，329(16):1349. DOI：10.1001/jama.2023.5321.
[80]	DE ZAMBOTTI M, CELLINI N, GOLDSTONE A, et al. Wearable sleep technology in clinical and research settings[J]. Med Sci Sports Exerc，2019，51(7):1538-1557. DOI：10.1249/MSS.0000000000001947.
[81]	BARON K G, DUFFECY J, BERENDSEN M A, et al. Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep[J]. Sleep Med Rev，2018，40:151-159. DOI：10.1016/j.smrv.2017.12.002.
[82]	PEAKE J M, KERR G, SULLIVAN J P. A critical review of consumer wearables，mobile applications，and equipment for providing biofeedback，monitoring stress，and sleep in physically active populations[J]. Front Physiol，2018，9:743. DOI：10.3389/fphys.2018.00743.
[83]	王冰倩，李亚子，李娟，等. HIPAA演变分析及其启示[J]. 医学信息学杂志，2016，37(2):47-51. DOI：10.3969/j.issn.1673-6036.2016.02.010.
[84]	王芳，陶蓉，李瑞荣. 隐私保护法律及标准研究和应用实践[C]//中国标准化协会.第十八届中国标准化论坛论文集. 北京：《中国学术期刊（光盘版）》电子杂志社有限公司，2021：14. DOI：10.26914/c.cnkihy.2021.024146.

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

失眠数字疗法中国专家共识

Expert Consensus on Digital Therapies for Insomnia in China

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 1

参考文献 84

相关文章 15

编辑推荐

Metrics

留言

[1]	中国药理学会药源性疾病专委会. 酸相关疾病药物治疗专家共识[J]. 中国全科医学, 2026, 29(19): 2593-2607.
[2]	海峡两岸医药卫生交流协会全科医学分会, 浙江省医学会全科医学分会, 浙江省数理医学学会全科未分化疾病专委会, 中国老年医学学会. 麻木诊治与管理专家共识（2025）[J]. 中国全科医学, 2026, 29(18): 2433-2449.
[3]	中国康复医学会社区康复工作委员会. 认知障碍患者居家康复管理的中国专家共识（2026版）[J]. 中国全科医学, 2026, 29(14): 1793-1802.
[4]	余学芳, 朱敏, 马清林, 谭神朗, 吴子幸, 江伟. 柴胡加龙骨牡蛎汤联合失眠认知行为疗法治疗肝郁化火型急性失眠的临床疗效研究[J]. 中国全科医学, 2026, 29(13): 1666-1672.
[5]	王高明, 王明航, 杨江, 孟圆圆, 赵娣, 董晓升. 中国支气管哮喘指南质量的系统评价与思考[J]. 中国全科医学, 2026, 29(10): 1239-1245.
[6]	焦玺同, 刘璐, 郭嘉悦, 尤莉莉. 国内外高血压数字疗法产品的应用前景及对我国的启示[J]. 中国全科医学, 2026, 29(10): 1354-1360.
[7]	中华医学会老年医学分会, 国家老年疾病临床医学研究中心（宣武医院）. 老年人内在能力筛查与综合评估中国专家共识[J]. 中国全科医学, 2026, 29(10): 1225-1238.
[8]	中国中医药研究促进会, 中国民族医药学会整合医学分会, 陶丽丽, 刘逸南, 王强, 雷燕. 中成药防治泛血管疾病及其靶器官损害的专家共识[J]. 中国全科医学, 2026, 29(09): 1089-1108.
[9]	人工智能赋能卫生健康服务专家共识制订专家组. 人工智能赋能卫生健康服务——2025年红树林健康大会专家共识[J]. 中国全科医学, 2026, 29(07): 817-822.
[10]	清华大学健康中国研究院, 北京大学公共卫生学院, 南方科技大学全科医学院, 公共安全科学技术学会公共卫生安全与健康专业委员会. 中国成人疫苗接种健康促进策略专家共识[J]. 中国全科医学, 2026, 29(06): 681-687.
[11]	余浩, 廖鹏, 罗力. 脑卒中数字疗法：从筛查到干预的进展与挑战[J]. 中国全科医学, 2026, 29(02): 240-246.
[12]	方琪川, 梁俊, 焦晓怡, 刘勇成, 张李芳, 张华青, 贺云帆, 董雷, 相鹏, 雷健波. 中国数字疗法的发展现状与趋势：基于国家药品监督管理局批准产品的多维度分析[J]. 中国全科医学, 2026, 29(02): 232-239.
[13]	吴慧, 王绿娅, 李嘉璐, 张俊. 《纯合子家族性高胆固醇血症早期筛查与管理中国专家共识（2024年）》要点解读[J]. 中国全科医学, 2025, 28(36): 4535-4540.
[14]	中国康复科学所, 中国残疾人康复协会社区康复专业委员会, 中国老年保健医学研究会老年康复分会, 南方医科大学附属广东省人民医院（广东省医学科学院）, 广州市康复医学会. 社区老年人肌肉减少症筛查专家共识[J]. 中国全科医学, 2025, 28(36): 4517-4534.
[15]	中国康复医学会社区康复工作委员会. 虚拟现实技术应用于肿瘤相关性失眠居家康复的专家共识（2025年版）[J]. 中国全科医学, 2025, 28(35): 4385-4396.