Abstract
Purpose of Review
This article discusses existing research in internet-delivered cognitive behavioral therapy for insomnia (iCBT-I) and three domains that researchers identified as the critical gaps to be addressed in the next wave of clinical trials. Our focus is on iCBT-I interventions in which delivery of clinical content has been automated, rather than CBT-I-based telemedicine interventions involving synchronous clinician participation.
Recent Findings
Despite its effectiveness and potential to revolutionize insomnia care, iCBT-I faces several challenges regarding real-world implementation.
Summary
First, research into patient characteristics predicting treatment response may reveal novel patient trajectories and help clinicians match individuals to interventions. Second, optimizing iCBT-I treatments to be maximally effective while requiring minimum investment from patients may be vital to uptake. Lastly, an understanding of the cost-effectiveness of iCBT-I relative to other treatment modalities will support administrators and insurers in allocating financial resources to iCBT-I. Ultimately, widespread implementation of iCBT-I hinges upon how these questions are answered in the coming years.
Similar content being viewed by others
References
van der Zweerde T, Bisdounis L, Kyle SD, Lancee J, van Straten A. Cognitive behavioral therapy for insomnia: a meta-analysis of long-term effects in controlled studies. Sleep Med Rev. 2019;48:101208.
Thomas A, Grandner M, Nowakowski S, Nesom G, Corbitt C, Perlis ML. Where are the behavioral sleep medicine providers and where are they needed? A geographic assessment. Behav Sleep Med. 2016;14:687–98.
Seyffert M, Lagisetty P, Landgraf J, Chopra V, Pfeiffer PN, Conte ML, Rogers MAM. Internet-delivered cognitive behavioral therapy to treat insomnia: a systematic review and meta-analysis. PLoS One. 2016;11:e0149139.
Zachariae R, Lyby MS, Ritterband LM, O’Toole MS. Efficacy of internet-delivered cognitive-behavioral therapy for insomnia: a systematic review and meta-analysis of randomized controlled trials. Sleep Med Rev. 2016;30:1–10.
Siebmanns S, Johansson P, Ulander M, Johansson L, Andersson G, Broström A. The effect of nurse-led internet-based cognitive behavioural therapy for insomnia on patients with cardiovascular disease: a randomized controlled trial with 6-month follow-up. Nurs Open. 2021;8:1755–68.
Amidi A, Buskbjerg CR, Damholdt MF, Dahlgaard J, Thorndike FP, Ritterband L, Zachariae R. Changes in sleep following internet-delivered cognitive-behavioral therapy for insomnia in women treated for breast cancer: a 3-year follow-up assessment. Sleep Med. 2022;96:35–41.
Ritterband LM, Bailey ET, Thorndike FP, Lord HR, Farrell LV, Baum LD. Initial evaluation of an internet intervention to improve the sleep of cancer survivors with insomnia. Psychooncology. 2012;21:695–705.
Ye Y-Y, Zhang Y-F, Chen J, Liu J, Li X-J, Liu Y-Z, Lang Y, Lin L, Yang X-J, Jiang X-J. Internet-based cognitive behavioral therapy for insomnia (ICBT-i) improves comorbid anxiety and depression-a meta-analysis of randomized controlled trials. PLoS ONE. 2015;10:e0142258.
van der Zweerde T, van Straten A, Effting M, Kyle SD, Lancee J. Does online insomnia treatment reduce depressive symptoms? A randomized controlled trial in individuals with both insomnia and depressive symptoms. Psychol Med. 2019;49:501–9.
McCrae CS, Curtis AF, Williams JM, et al. Efficacy of brief behavioral treatment for insomnia in older adults: examination of sleep, mood, and cognitive outcomes. Sleep Med. 2018;51:153–66.
Wang J, Wei Q, Wu X, Zhong Z, Li G. Brief behavioral treatment for patients with treatment-resistant insomnia. Neuropsychiatr Dis Treat. 2016;12:1967–75.
Panesar A. Precision Healthcare in Practice. In: Panesar A, editor. Precision health and artificial intelligence: with privacy, ethics, bias, health equity, best practices, and case studies. Berkeley, CA: Apress; 2023. p. 121–63.
van Bronswijk SC, DeRubeis RJ, Lemmens LHJM, Peeters FPML, Keefe JR, Cohen ZD, Huibers MJH. Precision medicine for long-term depression outcomes using the personalized advantage index approach: cognitive therapy or interpersonal psychotherapy? Psychol Med. 2021;51:279–89.
Boland E, Goldschmied J, Kayser MS, Gehrman PR. Precision medicine for insomnia. Sleep Med Clin. 2019;14:291–9.
Luik AI, Kyle SD, Espie CA. Digital cognitive behavioral therapy (dCBT) for insomnia: a state-of-the-science review. Curr Sleep Med Rep. 2017;3:48–56.
Yeung W-F, Chung K-F, Ho FY-Y, Ho L-M. Predictors of dropout from internet-based self-help cognitive behavioral therapy for insomnia. Behav Res Ther. 2015;73:19–24.
Zhou ES, Ritterband LM, Bethea TN, Robles YP, Heeren TC, Rosenberg L. Effect of culturally tailored, internet-delivered cognitive behavioral therapy for insomnia in black women: a randomized clinical trial. JAMA Psychiat. 2022;79:538–49.
Vincent N, Walsh K. Stepped care for insomnia: an evaluation of implementation in routine practice. J Clin Sleep Med. 2013;09:227–34.
Drerup ML, Ahmed-Jauregui S. Online delivery of cognitive behavioral therapy-insomnia. Sleep Med Clin. 2019;14:283–90.
Siebmanns S, JohanssonP Ulander M, Johansson L, Andersson G, Broström A. The effect ofnurse-led Internet-based cognitive behavioural therapy for insomnia on patientswith cardiovascular disease: A randomized controlled trial with 6-monthfollow-up. Nurs Open. 2021;8:1755–68.
Kutana S, Garland SN. Qualitative Assessment of Needs and Preferences for a Smartphone App to Treat Insomnia in Cancer Survivors. Poster presented at the International Psycho Oncology Society/Canadian Association of Psychosocial Oncology Conference, 29–31 August 2022, Toronto, ON.
Werner-Seidler A, Johnston L, Christensen H. Digitally-delivered cognitive-behavioural therapy for youth insomnia: a systematic review. Internet Interv. 2018;11:71–8.
Bramoweth AD, Lederer LG, Youk AO, Germain A, Chinman MJ. Brief behavioral treatment for insomnia vs. cognitive behavioral therapy for insomnia: results of a randomized noninferiority clinical trial among veterans. Behav Ther. 2020;51:535–47.
Germain A, Buysse DJ. Brief behavioral treatment of insomnia. In: Behavioral treatments for sleep disorders. Elsevier; 2011. p. 143–50.
Gunn HE, Tutek J, Buysse DJ. Brief behavioral treatment of insomnia. Sleep Med Clin. 2019;14:235–43.
Buysse DJ, Germain A, Moul DE, et al. Efficacy of brief behavioral treatment for chronic insomnia in older adults. Arch Intern Med. 2011;171:887–95.
MacDonell KK, Wang B, Phanuphak N, Janamnuaysook R, Srimanus P, Rongkavilit C, Naar S. Optimizing an mHealth intervention to improve uptake and adherence to HIV pre-exposure prophylaxis in young transgender women: protocol for a multi-phase trial. JMIR Research Protocols. 2022;11:e37659.
Collins LM, Murphy SA, Strecher V. The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med. 2007;32:S112-118.
Klasnja P, Rosenberg DE, Zhou J, Anau J, Gupta A, Arterburn DE. A quality-improvement optimization pilot of BariFit, a mobile health intervention to promote physical activity after bariatric surgery. Translational Behavioral Medicine. 2021;11:530–9.
Baka A, van der Zweerde T, Lancee J, Bosmans JE, van Straten A. Cost-effectiveness of guided internet-delivered cognitive behavioral therapy in comparison with care-as-usual for patients with insomnia in general practice. Behav Sleep Med. 2022;20:188–203.
Savard J, Ivers H, Morin CM, Lacroix G. Video cognitive-behavioral therapy for insomnia in cancer patients: a cost-effective alternative. Psychooncology. 2021;30:44–51.
Kuhn E, Miller KE, Puran D, Wielgosz J, YorkWilliams SL, Owen JE, Jaworski BK, Hallenbeck HW, McCaslin SE, Taylor KL. A pilot randomized controlled trial of the Insomnia Coach mobile app to assess its feasibility, acceptability, and potential efficacy. Behav Ther. 2022;53:440–57.
Espie CA, Bostock S, Kyle S, Paluzzi B, Hames P. Who benefits from online CBT for insomnia? Factors associated with change in sleep efficiency in a large online treatment cohort. In: Proceedings of the 28th annual meeting of the Association of Professional Sleep Societies. SLEEP: May 31 - June 5; Minneapolis (MN). Darien (IL); 2014 May [cited 2023 June 19] p. A205.
Funding
Samlau Kutana is a trainee in the Cancer Research Training Program of the Beatrice Hunter Cancer Research Institute, with funds provided by the Canadian Cancer Society’s JD Irving, Limited–Excellence in Cancer Research Fund. Sheila N. Garland is supported by a Canadian Cancer Society Emerging Scholar Award, Survivorship (#707146). Eric S. Zhou is supported by a Clinician Scientist Development Grant (CSDG-21–080-01–CTPS) from the American Cancer Society.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Eric S. Zhou has received grant funding from Jazz Pharmaceuticals and Harmony Biosciences and consulting fees from MindUP and Samsung for work unrelated to the content of this manuscript.
Human and Animal Rights and Informed Consent
No human or animal subjects were involved in the writing of this article and informed consent is not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kutana, S., Garland, S.N. & Zhou, E.S. Digital Health Interventions for Insomnia: Turning Promise into Reality. Curr Sleep Medicine Rep 9, 197–204 (2023). https://doi.org/10.1007/s40675-023-00260-x
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40675-023-00260-x