Cited by 135Sleep and related disordersDigital Mental Health InterventionsMobile Health and mHealth Applications

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

CBT-I Coach: A Description and Clinician Perceptions of a Mobile App for Cognitive Behavioral Therapy for Insomnia

Open access

Kuhn, Eric, Weiss, Brandon J., Taylor, Katherine L., Hoffman, Julia E., Ramsey, Kelly M., Manber, Rachel, Gehrman, Philip, Crowley, Jill J., Ruzek, Josef I., Trockel, Mickey·2016·Journal of Clinical Sleep Medicine

DOI 10.5664/jcsm.5700PMC PMC4795288

Open this paper in CoChat — free account Open PDF

Abstract

Study objectives This paper describes CBT-I Coach, a patient-facing smartphone app designed to enhance cognitive behavioral therapy for insomnia (CBT-I). It presents findings of two surveys of U.S. Department of Veterans Affairs (VA) CBT-I trained clinicians regarding their perceptions of CBT-I Coach before it was released (n = 138) and use of it two years after it was released (n = 176). Methods VA-trained CBT-I clinicians completed web-based surveys before and two years after CBT-I Coach was publicly released. Results Prior to CBT-I Coach release, clinicians reported that it was moderately to very likely that the app could improve care and a majority (87.0%) intended to use it if it were available. Intention to use the app was predicted by smartphone ownership (β = 0.116, p < 0.05) and perceptions of relative advantage to existing CBT-I practices (β = 0.286, p < 0.01), compatibility with their own needs and values (β = 0.307, p < 0.01), and expectations about the complexity of the app (β = 0.245, p < 0.05). Two years after CBT-I Coach became available, 59.9% of participants reported using it with patients and had favorable impressions of its impact on homework adherence and outcomes. Conclusions Findings suggest that before release, CBT-I Coach was perceived to have potential to enhance CBT-I and address common adherence issues and clinicians would use it. These results are reinforced by findings two years after it was released suggesting robust uptake and favorable perceptions of its value.

Integrity signals

Registry

Crossref · 10.5664/jcsm.5700

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Diffusion of innovations
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
Validation of the Insomnia Severity Index as an outcome measure for insomnia research
Bastien, C. (2001) · Sleep Medicine · doi:10.1016/s1389-9457(00)00065-4 · Cited by 8,067
Diffusion of Innovations in Service Organizations: Systematic Review and Recommendations
GREENHALGH, T., ROBERT, G., MACFARLANE, F., BATE, P., & KYRIAKIDOU, O. (2004) · The Milbank Quarterly · doi:10.1111/j.0887-378x.2004.00325.x · Cited by 7,448
The consensus sleep diary: standardizing prospective sleep self-monitoring
Carney, C. E., Buysse, D. J., Ancoli-Israel, S., Edinger, J. D., Krystal, A. D., Lichstein, K. L., & Morin, C. M. (2012) · Sleep · doi:10.5665/sleep.1642 · Cited by 2,172
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136 · cited 3×
“19 Treatment can be completed in fewer sessions if the patient makes sufficient improvement and relapse prevention strategies are discussed.”
Nonpharmacological interventions for insomnia: a meta-analysis of treatment efficacy
(1994) · American Journal of Psychiatry · doi:10.1176/ajp.151.8.1172 · Cited by 1,098 · cited 1×
“As behavioral intentions have been shown to relate to changes in clinician behavior (e.g., Perkins et al. 41 ), 2 additional items focused on participants’ intention to use the app (i.e., future use intention) if it were available.”
Behavioral and Pharmacological Therapies for Late-Life Insomnia: A Randomized Controlled Trial
Morin, C. M., Colecchi, C., Stone, J., Sood, R., & Brink, D. (1999) · JAMA · doi:10.1001/jama.281.11.991 · Cited by 1,095
Treatment of Chronic Insomnia by Restriction of Time in Bed
(1987) · Sleep · doi:10.1093/sleep/10.1.45 · Cited by 948
Cognitive behavioral therapy for insomnia enhances depression outcome in patients with comorbid major depressive disorder and insomnia
Manber, R., Edinger, J. D., Gress, J. L., Pedro-Salcedo, M. G. S., Kuo, T. F., & Kalista, T. (2008) · Sleep · doi:10.1093/sleep/31.4.489 · Cited by 868
Self-citation
Comparative Meta-Analysis of Pharmacotherapy and Behavior Therapy for Persistent Insomnia
Smith, M. T., Perlis, M. L., Park, A., Smith, M. S., Pennington, J., Giles, D. E., & Buysse, D. J. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.1.5 · Cited by 863

Show all 40 references

Research works printed but not linked: 4

Pew Research Center. Cell Phone and Smartphone Ownership Demographics. Accessed February 2, 2015. Available at: http://www.pewinternet.org/data-trend/mobile/cell-phone-and-smartphone-ownership-demographics/.
Manber R, Friedman L, Siebern AT, et al. Cognitive behavioral therapy for insomnia in Veterans: therapist manual. Washington, DC: U.S. Department of Veterans Affairs; 2014.
Rubinstein ML, Rothenberg SA, Maheswaran S, Tsai JS, Zozula R, Spielman AJ. Modified sleep restriction therapy in middle-aged and elderly chronic insomniacs. Sleep Res 1990;19,276.
Nielsen. Mobile Millennials: Over 85% of Generation Y Owns Smartphones. Accessed September 5, 2014. Available at: http://www.nielsen.com/us/en/insights/news/2014/mobile-millennials-over-85-percent-of-generation-y-owns-smartphones.html.

Sorted by citations

Increasing access to and utilization of cognitive behavioral therapy for insomnia (CBT-I): a narrative review
Koffel, E., Bramoweth, A. D., & Ulmer, C. S. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-018-4390-1 · Cited by 391
Tamper-Resistant Mobile Health Using Blockchain Technology.
Ichikawa, D., Kashiyama, M., & Ueno, T. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7938 · Cited by 298
“In an mHealth system for CBTi, mobile devices and the host server are connected by a secured Internet network [25].”
Use of Social Robots in Mental Health and Well-Being Research: Systematic Review
Scoglio, A. A. J., Reilly, E. D., Gorman, J. A., & Drebing, C. E. (2019) · Journal of Medical Internet Research · doi:10.2196/13322 · Cited by 312
Measuring the implementation of behavioral intervention technologies: Recharacterization of established outcomes
Hermes, E. D., Lyon, A. R., Schueller, S. M., & Glass, J. E. (2019) · Journal of Medical Internet Research · doi:10.2196/11752 · Cited by 149
Digital Cognitive Behavioral Therapy (dCBT) for Insomnia: a State-of-the-Science Review
Luik, A. I., Kyle, S. D., & Espie, C. A. (2017) · Current Sleep Medicine Reports · doi:10.1007/s40675-017-0065-4 · Cited by 160
A randomized controlled pilot study of CBT-I Coach: Feasibility, acceptability, and potential impact of a mobile phone application for patients in cognitive behavioral therapy for insomnia
Koffel, E., Kuhn, E. R., Petsoulis, N., Erbes, C. R., Anders, S. L., Hoffman, J. E., Ruzek, J. I., & Polusny, M. A. (2016) · Health Informatics Journal · doi:10.1177/1460458216656472 · Cited by 153
Self-citation
Sleep and Migraine: Assessment and Treatment of Comorbid Sleep Disorders
Rains, J. C. (2018) · Headache The Journal of Head and Face Pain · doi:10.1111/head.13357 · Cited by 122
Mobile Phone Interventions for Sleep Disorders and Sleep Quality: Systematic Review
Shin, J. C., Kim, J. H., & Grigsby‐Toussaint, D. S. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7244 · Cited by 91
Prevalence and management of sleep disorders in the Veterans Health Administration
Folmer, R. L., Smith, C. J., Boudreau, E. A., Hickok, A. W., Totten, A. M., Kaul, B., Stepnowsky, C. J., Whooley, M. A., & Sarmiento, K. F. (2020) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2020.101358 · Cited by 86
Testing a mindfulness meditation mobile app for the treatment of sleep-related symptoms in adults with sleep disturbance: a randomized controlled trial
Huberty, J. L., Green, J., Puzia, M. E., Larkey, L., Laird, B., Vranceanu, A.-M., Vlisides-Henry, R., & Irwin, M. R. (2021) · PLOS ONE · doi:10.1371/journal.pone.0244717 · Cited by 73
Advances in the Treatment of Chronic Insomnia: A Narrative Review of New Nonpharmacologic and Pharmacologic Therapies
Rosenberg, R. P., Citrome, L., & Drake, C. L. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s297504 · Cited by 86
Efficacy of a Theory-Based Cognitive Behavioral Technique App-Based Intervention for Patients With Insomnia: Randomized Controlled Trial
Majd, N. R., Broström, A., Ulander, M., Lin, C., Griffiths, M. D., Imani, V., Ahorsu, D. K., Ohayon, M. M., & Pakpour, A. H. (2020) · Journal of Medical Internet Research · doi:10.2196/15841 · Cited by 78
Reduction of Burnout in Mental Health Care Providers Using the Provider Resilience Mobile Application
Wood, A. E., Prins, A., Bush, N. E., Hsia, J. F., Bourn, L. E., Earley, M. D., Walser, R. D., & Ruzek, J. I. (2017) · Community Mental Health Journal · doi:10.1007/s10597-016-0076-5 · Cited by 72
Self-citation
PTSD Coach around the world
Kuhn, E. R., van der Meer, C. A. I., Owen, J. E., Hoffman, J. E., Cash, R., Carrese, P., Olff, M., Bakker, A., Schellong, J., Lorenz, P., et al. (2018) · mHealth · doi:10.21037/mhealth.2018.05.01 · Cited by 67
Self-citation
VA mobile apps for PTSD and related problems: public health resources for veterans and those who care for them
Owen, J. E., Kuhn, E. R., Jaworski, B. K., McGee-Vincent, P. A., Juhasz, K. M., Hoffman, J. E., & Rosen, C. S. (2018) · mHealth · doi:10.21037/mhealth.2018.05.07 · Cited by 67
Self-citation
Digital Delivery of Cognitive Behavioral Therapy for Insomnia
Luik, A. I., van der Zweerde, T., van Straten, A., & Lancee, J. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1041-0 · Cited by 72
A Pilot Randomized Controlled Trial of the Insomnia Coach Mobile App to Assess Its Feasibility, Acceptability, and Potential Efficacy
Kuhn, E. R., Miller, K. E., Puran, D., Wielgosz, J., YorkWilliams, S. L., Owen, J. E., Jaworski, B. K., Hallenbeck, H. W., McCaslin, S. E., & Taylor, K. L. (2021) · Behavior Therapy · doi:10.1016/j.beth.2021.11.003 · Cited by 64
Self-citation
A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement?
Uyumaz, B. E., Feijs, L. M. G., & Hu, J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18062929 · Cited by 68
Evidence-based training in the era of evidence-based practice: Challenges and opportunities for training of PTSD providers
Rosen, R. C., Ruzek, J. I., & Karlin, B. E. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.07.009 · Cited by 67
Self-citation
Sleep in PTSD: Conceptual model and novel directions in brain-based research and interventions
Germain, A., McKeon, A. B., & Campbell, R. L. (2016) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2016.12.004 · Cited by 62
Mobile mental health interventions following war and disaster
Ruzek, J. I., Kuhn, E. R., Jaworski, B. K., Owen, J. E., & Ramsey, K. M. (2016) · mHealth · doi:10.21037/mhealth.2016.08.06 · Cited by 56
Self-citation
Cognitive Behavioral Therapy Using a Mobile Application Synchronizable With Wearable Devices for Insomnia Treatment: A Pilot Study
Kang, S., Kang, J. M., Cho, S., Ko, K., Lee, Y. J., Lee, H., Kim, L., & Winkelman, J. W. (2017) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.6564 · Cited by 51
A Mobile Health Approach for Improving Outcomes in Suicide Prevention (SafePlan)
O'Grady, C., Melia, R., Bogue, J., O’Sullivan, M., Young, K. L., & Duggan, J. (2020) · Journal of Medical Internet Research · doi:10.2196/17481 · Cited by 50
Smartphone apps for insomnia: examining existing apps’ usability and adherence to evidence-based principles for insomnia management
Yu, J., Kuhn, E. R., Miller, K. E., & Taylor, K. L. (2018) · Translational Behavioral Medicine · doi:10.1093/tbm/iby014 · Cited by 43
Self-citation
A randomized controlled trial to examine the feasibility and preliminary efficacy of a digital mindfulness-based therapy for improving insomnia symptoms
Kennett, L., Bei, B., & Jackson, M. L. (2021) · Mindfulness · doi:10.1007/s12671-021-01714-5 · Cited by 42
Mobile App Use for Insomnia Self-Management in Urban Community-Dwelling Older Korean Adults: Retrospective Intervention Study
Chung, K., Kim, S., Lee, E. M., & Park, J. Y. (2020) · JMIR mhealth and uhealth · doi:10.2196/17755 · Cited by 42
Going direct to the consumer: Examining treatment preferences for veterans with insomnia, PTSD, and depression
Gutner, C. A., Pedersen, E. R., & Drummond, S. P. A. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.02.045 · Cited by 40
Gender differences in perpetuating factors, experience and management of chronic insomnia
Sidani, S., Guruge, S., Fox, M., & Collins, L. (2019) · Journal of Gender Studies · doi:10.1080/09589236.2018.1491394 · Cited by 37
“Women could benefit from relaxation therapy that involves the application of a relaxation technique of their choice (e.g. progressive muscle relaxation, meditation) as well as strategies to unwind and to address intrusive thoughts in bed as described by Kuhn et al. (2016).”
Background
Mobile App Use for Insomnia Self-Management: Pilot Findings on Sleep Outcomes in Veterans
Reilly, E. D., Robinson, S. A., Petrakis, B. A., Kuhn, E. R., Pigeon, W. R., Wiener, R. S., McInnes, D. K., & Quigley, K. S. (2019) · Interactive Journal of Medical Research · doi:10.2196/12408 · Cited by 35
Self-citation
Clinician Perceptions Related to the Use of the CBT-I Coach Mobile App
Miller, K. E., Kuhn, E. R., Owen, J. E., Taylor, K. L., Yu, J., Weiss, B. J., Crowley, J. J., & Trockel, M. (2017) · Behavioral Sleep Medicine · doi:10.1080/15402002.2017.1403326 · Cited by 33
Self-citation
Evaluation and Management of Sleep and Circadian Rhythm Disturbance in Cancer
Balachandran, D. D., Miller, M. A., Faiz, S. A., Yennurajalingam, S., & Innominato, P. F. (2021) · Current Treatment Options in Oncology · doi:10.1007/s11864-021-00872-x · Cited by 36
“You’re Missing Out on Something Great”: Patient and Provider Perspectives on Increasing the Use of Cognitive Behavioral Therapy for Insomnia
Koffel, E., Amundson, E. C., Polusny, G., & Wisdom, J. P. (2019) · Behavioral Sleep Medicine · doi:10.1080/15402002.2019.1591958 · Cited by 37
A scoping review of mobile apps for sleep management: User needs and design considerations
Mahmud, A. A., Wu, J., & Mubin, O. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1037927 · Cited by 34
The effect of sleep on men’s health
Kohn, T. P., Kohn, J. R., Haney, N. M., Pastuszak, A. W., & Lipshultz, L. I. (2020) · Translational Andrology and Urology · doi:10.21037/tau.2019.11.07 · Cited by 30
Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review
Aji, M., Gordon, C. J., Stratton, E., Calvo, R. A., Bartlett, D. J., Grunstein, R. R., & Glozier, N. (2021) · Journal of Medical Internet Research · doi:10.2196/24607 · Cited by 29
Help for insomnia from the app store? A standardized rating of mobile health applications claiming to target insomnia
Simon, L., Reimann, J., Steubl, L., Stach, M., Spiegelhalder, K., Sander, L., Baumeister, H., Meßner, E.-M., & Terhorst, Y. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13642 · Cited by 24
Examining the barriers and recommendations for integrating more equitable insomnia treatment options in primary care
Vargas, I., Egeler, M. E., Walker, J. L., & Benitez, D. E. D. (2023) · Frontiers in Sleep · doi:10.3389/frsle.2023.1279903 · Cited by 25
Primary care provider evaluation and management of insomnia
Sun, J., McPhillips, M., Chen, K.-C., Zang, Y., Li, J., Oehlke, J., Brewster, G. S., & Gooneratne, N. S. (2021) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.9154 · Cited by 27
Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms
Schellong, J., Lorenz, P., & Weidner, K. (2019) · European Journal of Psychotraumatology · doi:10.1080/20008198.2019.1611090 · Cited by 23
Application and Mechanisms of Internet-Based Cognitive Behavioral Therapy (iCBT) in Improving Psychological State in Cancer Patients
Bai, P. (2023) · Journal of Cancer · doi:10.7150/jca.82632 · Cited by 24
More than Bedtime and the Bedroom: Sleep Management as a Collaborative Work for the Family
Shin, J. Y., Peng, W., & Lee, H. R. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517535 · Cited by 24
Mobile Intervention to Improve Sleep and Functional Health of Veterans With Insomnia: Randomized Controlled Trial
Reilly, E. D., Robinson, S. A., Petrakis, B. A., Gardner, M. M., Wiener, R. S., Castaneda‐Sceppa, C., & Quigley, K. S. (2021) · JMIR Formative Research · doi:10.2196/29573 · Cited by 20
A Mobile App for Chronic Disease Self-Management for Individuals with Low Health Literacy: A Multisite Randomized Controlled Clinical Trial
Ownby, R. L., Waldrop‐Valverde, D., Davenport, R., Simonson, M. R., Caballero, J., Purcell, D. J., Purcell, D. J., Ayala, V., González, J., Patel, N., et al. (2024) · Journal of Ageing and Longevity · doi:10.3390/jal4020005 · Cited by 20
Disentangling the Relationship between Food Insecurity and Poor Sleep Health
Lee, S., Deason, K., Rancourt, D., & Gray, H. L. (2021) · Ecology of Food and Nutrition · doi:10.1080/03670244.2021.1926245 · Cited by 19
Enhancing the Impact of Mobile Health Literacy Interventions to Reduce Health DisparitiesPreprint
Ownby, R. L., Acevedo, A., & Waldrop‐Valverde, D. (2019) · doi:10.31219/osf.io/5j2m6 · Cited by 19
Usability and feasibility of a cognitive-behavioral mobile app for ADHD in adults
Knouse, L. E., Hu, X., Sachs, G., & Isaacs, S. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000083 · Cited by 18
Nurse-Supported Self-Directed Cognitive Behavioral Therapy for Insomnia
Ulmer, C. S., Voils, C. I., Jeffreys, A. S., Olsen, M. K., Zervakis, J., Goodwin, K., Gentry, P., Rose, C., Weidenbacher, H. J., Beckham, J. C., et al. (2024) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2024.4419 · Cited by 20
Dissemination of CBT for Insomnia
Manber, R., & Simpson, N. S. (2016) · Current Sleep Medicine Reports · doi:10.1007/s40675-016-0048-x · Cited by 16
Self-citation
Online Delivery of Cognitive Behavioral Therapy-Insomnia
Drerup, M. L., & Ahmed, S. (2019) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2019.02.001 · Cited by 16
Efficacy of a Mobile Behavioral Intervention for Workers With Insomnia
Omeogu, C., Shofer, F. S., Gehrman, P., & Green-McKenzie, J. (2020) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000001819 · Cited by 17
Self-citation
Clinicians' perceptions of PTSD Coach Australia
Strodl, E. S., Shakespeare‐Finch, J., Alichniewicz, K., Brown, K., Quinn, C. A., Hides, L. M., White, A., Gossage, G., Poerio, L., Batras, D., et al. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100333 · Cited by 16
Mirai: A Wearable Proactive AI "Inner-Voice" for Contextual Nudging
Fang, C. M., Samaradivakara, Y., Maes, P., & Nanayakkara, S. C. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3719881 · Cited by 27
Implementing eScreening technology in four VA clinics: a mixed-method study
Pittman, J. O. E., Afari, N., Floto, E., Almklov, E., Conner, S., Rabin, B. A., & Lindamer, L. A. (2019) · BMC Health Services Research · doi:10.1186/s12913-019-4436-z · Cited by 15
An Initial Test of the Efficacy of a Digital Health Intervention for Bariatric Surgery Candidates
Sysko, R., Michaelides, A. P., Costello, K., Herron, D. M., & Hildebrandt, T. (2022) · Obesity Surgery · doi:10.1007/s11695-022-06258-8 · Cited by 15
Sleep Applications to Assess Sleep Quality
Fietze, I. (2016) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2016.08.008 · Cited by 15
Veterans’ experiences with and perspectives on insomnia treatment: A qualitative study.
Bramoweth, A. D., Rodriguez, K. L., Klima, G. J., Appelt, C. J., & Chinman, M. (2020) · Psychological Services · doi:10.1037/ser0000494 · Cited by 16
Sleep Symptoms and Disorders in Episodic Migraine: Assessment and Management
Vgontzas, A., Pavlovic, J. M., & Bertisch, S. M. (2023) · Current Pain and Headache Reports · doi:10.1007/s11916-023-01160-z · Cited by 13
Single-Item Measures for Detecting Sleep Problems in United States Military Veterans
Workgroup, M.-A. V. M., Hughes, J. M., Ulmer, C. S., Gierisch, J. M., & Howard, M. O. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-017-4250-4 · Cited by 13
Barriers in Access to and Delivery of Behavioral Sleep Treatments
Roberts, S., & Ulmer, C. S. (2023) · Current Sleep Medicine Reports · doi:10.1007/s40675-023-00270-9 · Cited by 15
Impact of an internet-based insomnia intervention on suicidal ideation and associated correlates in veterans at elevated suicide risk
Nazem, S., Sun, S., Barnes, S. M., Monteith, L. L., Hostetter, T. A., Forster, J. E., Brenner, L. A., Galfalvy, H., & Haghighi, F. G. (2024) · Translational Behavioral Medicine · doi:10.1093/tbm/ibae032 · Cited by 12
The Use of Digital Health Technologies to Manage Insomnia in Military Populations
Cavanagh, R., Mackey, R., Bridges, L., Gleason, A., Ciulla, R., Micheel, L., Bradshaw, D. H., Armstrong, C. M., & Hoyt, T. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00114-w · Cited by 16
The Relationship between Suicidal Responses and Traumatic Brain Injury and Severe Insomnia in Active Duty, Veteran, and Civilian Populations
Soberay, K. A., Hanson, J. E., Dwyer, M., Plant, E. A., & Gutierrez, P. M. (2018) · Archives of Suicide Research · doi:10.1080/13811118.2018.1479322 · Cited by 11
Cognitive Behavioral Therapy for Insomnia in the Digital Age
Kang, S., & Kim, Y. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9721-0_30 · Cited by 11
Treating insomnia in patients with comorbid psychiatric disorders: A focused review.
Garland, S. N., Vargas, I., Grandner, M. A., & Perlis, M. L. (2018) · Canadian Psychology/Psychologie canadienne · doi:10.1037/cap0000141 · Cited by 12
Understanding sleep-wake mechanisms and drug discovery
Equihua-Benítez, A. C., Guzmán-Vásquez, K., & Drucker-Colín, R. (2017) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2017.1329818 · Cited by 11
Sleep disorders among rural Veterans: Relative prevalence, comorbidities, and comparisons with urban Veterans
Folmer, R. L., Smith, C. J., Boudreau, E. A., Totten, A. M., Chilakamarri, P., Atwood, C. W., & Sarmiento, K. F. (2022) · The Journal of Rural Health · doi:10.1111/jrh.12722 · Cited by 10
Cognitive Behavioral Therapy for Insomnia Self-Management Mobile Apps: A Review of Efficacy and Quality
Rowan, A. B., Magnante, A. T., Urh, N., & Figueroa, L. M. (2024) · Journal of Clinical Psychology in Medical Settings · doi:10.1007/s10880-023-09992-y · Cited by 9
Use of mHealth Technologies to Increase Sleep Quality among Older Adults: A Scoping Review
Grotto, G., Martinello, M., & Buja, A. (2024) · Clocks & Sleep · doi:10.3390/clockssleep6030034 · Cited by 10
Mobile Mental Health Apps from the National Center for PTSD: Digital Self-Management Tools for Co-Occurring Disorders
McGee-Vincent, P. A., Juhasz, K. M., Jamison, A. L., Avery, T. J., Owen, J. E., Jaworski, B. K., & Blonigen, D. M. (2021) · Journal of Dual Diagnosis · doi:10.1080/15504263.2021.1939919 · Cited by 11
Using Technology to Train and Sustain Delivery of Evidence-Based Practices
Koerner, K., Levy, J., & Dimeff, L. A. (2021) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2020.12.007 · Cited by 9
Non-guided, mobile, CBT-I-based sleep intervention in War-torn Ukraine: A feasibility study
Kurapov, A., Blechert, J., Hinterberger, A., Topalidis, P. I., & Schabus, M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0310070 · Cited by 10
Design of College Physical Education Curriculum Based on Mobile App Development Platform
Ben, H., Wang, L., Ma, Z., & Yang, J. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/9746549 · Cited by 7
Designing behavioral self-regulation application for preventive personal mental healthcare
Hirano, M., Ogura, K., Kitahara, M., Sakamoto, D., & Shimoyama, H. (2017) · Health Psychology Open · doi:10.1177/2055102917707185 · Cited by 7
Apps for mental health
Strauss, J., Zhang, J., Jarrett, M. L., Patterson, B. A., & Ameringen, M. V. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822201-0.00006-x · Cited by 8
Sleep medications and sleep disturbances across middle aged pre‐ or peri‐menopausal women of different race and ethnicities: A SWAN pharmacoepidemiology cohort study
Solomon, D. H., Ruppert, K. M., Kazlauskaite, R., Lian, P., & Kravitz, H. M. (2020) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.5102 · Cited by 6
Improving Veteran Engagement with Virtual Care Technologies: a Veterans Health Administration State of the Art Conference Research Agenda
Haderlein, T. P., Guzman-Clark, J., Dardashti, N., McMahon, N., Duran, E. L., Haun, J. N., Robinson, S. A., Blok, A. C., Cutrona, S. L., Lindsay, J. A., et al. (2024) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08488-7 · Cited by 5
Self-citation
Understanding the research on tracking, diagnosing, and intervening in sleep disorders using mHealth apps: Bibliometric analysis and systematic reviews
Nuo, M., Fang, H., Wang, T., Liang, J., He, Y., Han, H., & Lei, J. (2023) · Digital Health · doi:10.1177/20552076231165967 · Cited by 6
Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study
Kaitz, J. E., Robinson, S. A., Petrakis, B. A., Reilly, E. D., Chamberlin, E. S., Wiener, R. S., & Quigley, K. S. (2022) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-022-00287-x · Cited by 4
Daily physical activity and sleep in veterans: the role of insomnia severity
Robinson, S. A., Reilly, E. D., Petrakis, B. A., Wiener, R. S., Castaneda‐Sceppa, C., & Quigley, K. S. (2021) · Journal of Behavioral Medicine · doi:10.1007/s10865-021-00260-8 · Cited by 7
CBT-I in patients with alcohol use and cannabis use disorders
Bowyer, G. E., Brooks, T. M., & Conroy, D. A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822872-2.00016-5 · Cited by 4
Insomnia Treatment in the Digital Healthcare Era: Present and Future
Cho, J. W., Kim, H.-W., Jeong, J., & Baek, K. (2023) · Journal of Sleep Medicine · doi:10.13078/jsm.230021 · Cited by 4
The Internet and CBT: A New Clinical Application of an Effective Therapy
Gratzer, D., Khalid-Khan, F., & Balasingham, S. (2018) · InTech eBooks · doi:10.5772/intechopen.72146 · Cited by 6
Development and acceptability of a mobile health application integrated with the electronic heath record for treatment of chronic insomnia disorder
Morgenthaler, T. I., Kolla, B. P., Anderson, S. E., Wahl, A., Clark, P., Smith, J. M., Luedke, T. C., McColley, S., Phillips, S. A., Harper, S. B., et al. (2022) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10218 · Cited by 4
Consumer Technology for Sleep-Disordered Breathing: a Review of the Landscape
Rosa, T. D., Zitser, J., & Capasso, R. (2019) · Current Otorhinolaryngology Reports · doi:10.1007/s40136-019-00222-4 · Cited by 5
Experiences and Knowledge of US Department of Veterans Affairs Clinical Services, Research, and Education: Results From a National Survey of Veterans
Tsai, J., Mehta, K., Hunt-Johnson, N., & Pietrzak, R. H. (2019) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000001053 · Cited by 4
Relationships between insomnia and alcohol and cocaine use frequency with aggression among veterans engaged in substance use treatment
Sexton, M. B., Dawson, S. C., Spencer, R. J., Phillips, D. G., Reckow, J. M., Conroy, D. A., Winters, J. J., Bonar, E. E., & Chermack, S. T. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.10.010 · Cited by 4
Evaluating a mobile application based intervention for insomnia in college students: a preliminary study
Floyd, V., & Vargas, I. (2024) · Journal of American College Health · doi:10.1080/07448481.2024.2423225 · Cited by 3
Navigating the regulatory maze: a comparative analysis of digital therapeutics (DTx) regulations
Hussian, T., Tripathy, S., & Dureja, H. (2025) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-06-2023-0089 · Cited by 3
Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy
Gabbay, F. H., Wynn, G. H., Georg, M. W., Gildea, S. M., Kennedy, C. J., King, A. J., Sampson, N. A., Ursano, R. J., Stein, M. B., Wagner, J. R., et al. (2023) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10574 · Cited by 3
Applying a Bauhaus design approach to conceptualize an integrated system of mental health care: Lessons from a large urban hospital
Ungar, T., Taube‐Schiff, M., & Stergiopoulos, V. (2016) · FACETS · doi:10.1139/facets-2016-0016 · Cited by 3
A nonpharmacologic approach to managing insomnia in primary care
Taylor, K., Bilan, N., Tsytsyna, N., & Mandel, E. D. (2017) · JAAPA · doi:10.1097/01.jaa.0000525905.52107.20 · Cited by 3
Self-citation
Chronic Insomnia in the Elderly: Current Approaches to Diagnosis and Treatment
Melehin, A. I. (2018) · Clinical Psychology and Special Education · doi:10.17759/cpse.2018070210 · Cited by 3
Reducing Barriers to Behavioral Treatments for Insomnia: A Qualitative Examination of Veterans’ Perspectives of BBTI
Holder, N. D., Kanady, J. C., Straus, L. D., Khan, A. J., Purcell, N., Huggins, J., Gloria, R., Neylan, T. C., Lujan, C., & Maguen, S. (2021) · Behavioral Sleep Medicine · doi:10.1080/15402002.2021.1878173 · Cited by 4
Investigating the Effectiveness of CBT-i Coach, a Free, Publicly Available mHealth App for Insomnia
Dolezal, M. L., Wielgosz, J., Miller, K. E., Taylor, K. L., Owen, J. E., & Kuhn, E. R. (2024) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-024-00459-x · Cited by 3
Self-citation
Enhancing The Impact of Mobile Health Literacy Interventions to Reduce Health Disparities
Ownby, R. L., Acevedo, A., & Waldrop‐Valverde, D. (2019) · Quarterly review of distance education · doi:10.1108/qrde-08-2019-0003 · Cited by 22
Development of Conversational AI for Sleep Coaching Programme
Shim, H. (2021) · Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL SRW) · doi:10.18653/v1/2021.eacl-srw.17 · Cited by 2
Effectiveness of High-dose Clonazepam Versus Low-Dose Clonazepam With Cognitive Behavioral Therapy in Older Adults With Moderately Severe Insomnia: A Prospective Cohort Study
Sankar, K., Shanmugasundram, N., Baskaran, B., Anabalagan, D., Sivaraman, V., Santhiyagu, X., & Rajanandh, M. G. (2023) · Clinical Therapeutics · doi:10.1016/j.clinthera.2023.10.010 · Cited by 2
A Mobile App Providing Individually-Tailored Psychoeducationabout Sleep for Older Adults with Chronic Health Conditions andLow Health Literacy
Ownby, R. L., Thomas-Purcell, K. B., Purcell, D. J., Caballero, J., Tewary, S., Davenport, R., & Simonson, M. (2024) · Journal of Psychiatry Research Reviews & Reports · doi:10.47363/jpsrr/2024(6)163 · Cited by 2
Digital Therapies for Insomnia
Jackson, M. L., Meaklim, H., & Mason, E. C. (2023) · Springer eBooks · doi:10.1007/978-3-031-10698-9_6 · Cited by 2
Towards Flexible Remote Therapeutic Interventions
Schickler, M., Prysss, R., Schobel, J., Schlee, W., Probst, T., & Reichert, M. (2017) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2017.93 · Cited by 2

Authors: Kuhn, E., Weiss, B. J., Taylor, K. L., Hoffman, J. E., Ramsey, K. M., Manber, R., Gehrman, P., Crowley, J. J., Ruzek, J. I., & Trockel, M.
Affiliations: VA Palo Alto Health Care System (US)
Stanford University (US)
Philadelphia VA Medical Center (US)
Corresponding author: Kuhn, Eric
ORCID: Kuhn, Eric
Weiss, Brandon J.
Taylor, Katherine L.
Hoffman, Julia E.
Ramsey, Kelly M.
Manber, Rachel
Gehrman, Philip
Ruzek, Josef I.
Trockel, Mickey
Venue: Journal of Clinical Sleep Medicine
Publisher: Springer Science and Business Media LLC
Published: 2016-04-15
Volume: 12
Issue: 4
Pages: 597-606
ISSN: 1550-9389 (ISSN-L)
1550-9397
DOI: 10.5664/jcsm.5700
PMC: PMC4795288
OpenAlex: W2279773756
Cited by: 135
References: 40
Citations by year: 2026: 5 · 2025: 11 · 2024: 15 · 2023: 11 · 2022: 15 · 2021: 21 · 2020: 10 · 2019: 16 · 2018: 14 · 2017: 11 · 2016: 6
FWCI: 22.30
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Journal of Clinical Sleep Medicine (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords: cognitive behavioral therapy for insomnia, mobile health apps, mobile application, clinician perceptions, intention to use, technology acceptance, homework adherence, veterans, app uptake
MeSH terms: Smartphone, Attitude of Health Personnel, Female, Humans, Sleep Initiation and Maintenance Disorders, Male, Middle Aged, Veterans, Cognitive Behavioral Therapy, Treatment Outcome, Patient Satisfaction, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

CBT-I Coach: A Description and Clinician Perceptions of a Mobile App for Cognitive Behavioral Therapy for Insomnia

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks