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Comparative efficacy of digital cognitive behavioral therapy for insomnia: A systematic review and network meta-analysis
Abstract
The comparative efficacy of various approaches of digital cognitive behavioral therapy for insomnia (CBTi) is still unclear. This network meta-analysis explored the comparative efficacy of digital CBTi approaches in adults with insomnia. Four electronic databases were searched from inception to June 27, 2020. Primary outcomes were self-reported total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), and insomnia symptoms; these were measured using sleep diaries or valid questionnaires. A random-effects network meta-analysis in a frequentist framework was used. Fifty-four randomized controlled trials comprising 11,815 participants were included. Compared with usual care, web-based CBTi with a therapist demonstrated significantly longer TST (mean difference [MD]: 23.19 min, 95% confidence interval [CI]: 18.98-27.39 min), shorter SOL (MD: -18.76 min, 95% CI -24.20 to -13.31 min), lower WASO (MD: -31.40 min, 95% CI: -36.26 to -26.55 min), and greater SE (MD: 10.37%, 95% CI: 8.08%-12.65%). The surface under the cumulative ranking curve indicates that web-based CBTi with therapists is most likely to be ranked the highest among all treatments, and thus, this network meta-analysis suggests that such a treatment is the optimal intervention for improving sleep duration and SE as well as the reductions in SOL and WASO. PROSPERO REGISTRATION NUMBER: CRD42020171134.
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“A recent meta-analysis suggested clinician support is preferred when CBT-I is administered digitally. 42”
From Digital Cognitive-Behavioral Therapy for Insomnia in Cancer Survivors: Protocol for a Pragmatic Clinical Trial (2024) · cites this paper as [42]
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Julie, L., Mengarduque, M., Coelho, J., Geoffroy, P. A., Denechere, E., Aouizerate, B., Jaafari, N., Philip, P., Taillard, J., Dubois, O., et al. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15062176 · Cited by 3
“A network meta-analysis by [22] showed that web-based dCBT-I incorporating automated therapeutic feedback achieved outcomes comparable to therapist-guided web-based dCBT-I, whereas fully automated interventions without guidance were associated with lower effectiveness.”
Ren, R., Zhang, Y., Shi, Y., Zhang, H., Vitiello, M. V., & Tang, X. (2023) · Sleep Medicine · doi:10.1016/j.sleep.2023.03.012 · Cited by 3
Does vestibular stimulation modify circadian rhythms and sleep? A systematic review
Galin, M., Milot, E., Martin, T., Bessot, N., Giffard, B., Denise, P., Perrier, J., & Quarck, G. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106520 · Cited by 3
Moukhtarian, T. R., Patel, K., Toro, C. T., Russel, S., Daly, G. B. J., Walasek, L., Tang, N. K. Y., & Meyer, C. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058062 · Cited by 3
Chronische Insomnie - alte, neue und zukünftige Therapieoptionen
Heidbreder, A. (2023) · InFo Neurologie + Psychiatrie · doi:10.1007/s15005-023-3275-y · Cited by 3
“Die Fläche unter der kumulativen Rangkurve deutet außerdem darauf hin, dass webbasierte KVT-I wahrscheinlich den höchsten Rang unter allen Behandlungen einnahm [31, 32, 33].”
BackgroundFactors facilitating and hindering the implementation of digital sleep coaching for bus drivers
Järnefelt, H., Anttilainen, J., Karhula, K., Hublin, C., Pehkonen, I., & Sallinen, M. (2024) · Applied Ergonomics · doi:10.1016/j.apergo.2024.104356 · Cited by 4
Jeon, H., Kang, E., & Yoo, S. (2023) · Korean Journal of Clinical Pharmacy · doi:10.24304/kjcp.2023.33.4.221 · Cited by 2
Park, K., Lee, S., Lee, Y., Moon, D. U., & Lee, E. M. (2025) · Journal of Medical Internet Research · doi:10.2196/70722 · Cited by 3
“Second, the sample size of the study was relatively small compared with previous clinical trials for digital CBT-I [67].”
Leite, I. P. A., Kakazu, V. A., de Carvalho, L. A. T., Tufik, S., & Pires, G. N. (2025) · Clocks & Sleep · doi:10.3390/clockssleep7040069 · Cited by 4
“DCBT-I has already been recognized as a valid and recommended treatment for insomnia by recent guidelines [2,3,5], and its efficacy has been consistently demonstrated in a substantial number of studies [9,10].”
Thomson, N., Gilarova, M., Lawrence, J., Cullen, B., & Gardani, M. (2026) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2026.102279 · Cited by 2
Boinon, D., Pagès, A., Zanni, L., Journiac, J., Charles, C., Borinelli-Franzoi, M. A., Vaz-Luís, I., Fasse, L., Hernot, D., Monod, A., et al. (2026) · Cancer Medicine · doi:10.1002/cam4.71871 · Cited by 2
“These benefits included increased total sleep time, reduced sleep onset latency, decreased wake time after sleep onset, and improved sleep efficiency [35].”
Roberts, K. E., Beckenkamp, P. R., Comachio, J., Castrillón, C. I. M., Cabral, A. M., Ho, E. K., Comis, J., Jensen, C., Gordon, C., & Ferreira, P. H. (2025) · Health Informatics Journal · doi:10.1177/14604582251340548 · Cited by 3
Sweetman, A., Reynolds, C. M., Spiegelhalder, K., Rajagopalan, P., & Richardson, C. E. (2025) · Current Pulmonology Reports · doi:10.1007/s13665-025-00387-y · Cited by 2
“In a 2022 network meta-analysis, Hasan and colleagues [ 40 ] found that digital CBTi with a virtual/real therapist resulted in optimal treatment efficacy across sleep/ insomnia outcomes, when compared to treatment as usual.”
Wang, Y., Shao, J., Yu, P., Li, Y., Huo, X., Li, Q., Li, S., Wang, Q., & Qie, X. (2025) · Sleep And Breathing · doi:10.1007/s11325-025-03387-z · Cited by 1
Hasan, F., Prasetya, E. C., Gordon, C. J., Romadlon, D. S., Chang, K.-M., Bartlett, D. J., Lin, C., Gautama, M. S. N., Izzati, N., & Chiu, H. (2025) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.11856 · Cited by 1
“14 The other challenge (ie, prolonged treatment durations) cannot be overcome by employing digital CBT-I modalities.”
Self-citationA Systematic Review of Economic Evaluations on Interventions Targeting Insomnia or Hypersomnia
Le, P. H., Le, L. K., Le, D. Q., Rajaratnam, S. M. W., & Mihalopoulos, C. (2025) · Applied Health Economics and Health Policy · doi:10.1007/s40258-025-00997-2 · Cited by 1
“Moreover, digital CBT-I can improve consumer accessibility, given the limited availability of healthcare professionals who can deliver CBT-I [33, 62, 63].”
Bibliometric and visual analysis of cancer-related insomnia research from 2015 to 2025
Chen, L., Wang, R., Xu, F. G., Zhao, J., Wang, F., & Zhou, D. (2025) · Supportive Care in Cancer · doi:10.1007/s00520-025-09909-5 · Cited by 1
Sleep health in the primary care setting
Vargas, I., Walker, J. L., Egeler, M. E., Vance, A., Boyle, J. T., & Muench, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13954-3.00056-5 · Cited by 1
Corkum, P. V., Bertrand, M., Ilie, A., & Rajda, M. (2023) · Autism and child psychopathology series · doi:10.1007/978-3-031-41709-2_10 · Cited by 1
Healy, W. J., Kundel, V., Taub, P. R., Cho, Y., Healy, S. J., & Kwon, Y. (2024) · SLEEP Advances · doi:10.1093/sleepadvances/zpae094 · Cited by 1
“Telehealth has emerged as an option for patients after the coronavirus disease 2019 (COVID-19) pandemic to in-part bridge this gap and has been demonstrated to be effective in improving sleep duration and sleep efficiency [38].”
Substance Abuse Prevention and Treatment: A Specialization in Lifestyle Medicine Centers
Brož, J., Malinovská, J., & Urbanová, J. (2025) · Springer eBooks · doi:10.1007/978-3-031-82888-1_27 · Cited by 1
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“In a systematic review and meta-analysis, digital CBT-I significantly reduced insomnia severity, sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE) for both clinical (patients) and industrial (non-patients) settings [18, 19].”
Disentangling what works best for whom in comorbidity
Glozier, N., & Vidafar, P. (2022) · SLEEP · doi:10.1093/sleep/zsac253 · Cited by 1
“Network meta-analyses could help determine the most effective and/or efficient treatment, but those of digital CBT-I (and other digital interventions) tend to compare “approaches” rather than programs on the, likely false, assumption that all programs are equal, and the differences assessed being, for example, compone…”
BackgroundCognitive behaviour therapy for insomnia works. It's time to make it accessible
Cunnington, D. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101586
Protocols for Sleep Medicine Services During COVID-19 and Pandemics
Pirzada, R., & BaHammam, A. S. (2023) · Progress in Sleep Research · doi:10.1007/978-981-99-0240-8_20
Metadata
- Authors
- Hasan, F., Tu, Y.-K., Yang, C.-M., James Gordon, C., Wu, D., Lee, H.-C., Yuliana, L. T., Herawati, L., Chen, T.-J., & Chiu, H.-Y.
- Affiliations
- Taipei Medical University (TW)
- National Taiwan University (TW)
- National Chengchi University (TW)
- Taipei Medical University-Shuang Ho Hospital (TW)
- Taipei Medical University Hospital (TW)
- Kementerian Kesehatan Republik Indonesia (ID)
- Corresponding author
- Chiu, Hsiao-Yean
- ORCID
- Venue
- Sleep Medicine Reviews
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 61
- Pages
- 101567
- ISSN
- 1087-0792 (ISSN-L)
- OpenAlex
- W3214315566
- Cited by
- 137
- References
- 91
- Citations by year
- 2026: 26 · 2025: 38 · 2024: 30 · 2023: 29 · 2022: 13
- FWCI
- 2.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Sleep Medicine Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (110-2628-B-038-017)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Keywords
- digital cognitive behavioral therapy for insomnia, insomnia, online therapy, total sleep time, sleep latency, wake after sleep onset, sleep efficiency, sleep duration, insomnia symptoms, treatment efficacy comparison
- MeSH terms
- Adult, Humans, Sleep Initiation and Maintenance Disorders, Sleep, Cognitive Behavioral Therapy, Randomized Controlled Trials as Topic, Treatment Outcome, Polysomnography, Self Report
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