scholarly journals A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement?

2021 ◽  
Vol 18 (6) ◽  
pp. 2929
Author(s):  
Begum Erten Uyumaz ◽  
Loe Feijs ◽  
Jun Hu
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Experience Design ◽  
Design Elements ◽  
Face To Face ◽  
Online Social Media ◽  
Interactive Product ◽  
Potential Impact ◽  
High Engagement

There are different ways to deliver Cognitive Behavioral Therapy for Insomnia (CBT-I), of which in-person (face to face) is the traditional delivery method. However, the scalability of in-person therapy is low. Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) is an alternative and there are tools on the market that are validated in clinical studies. In this paper, we provide a review of the existing evidence-based CBT-I apps and a summary of the published usability-oriented studies of these apps. The goal is to explore the range of interaction methods commonly applied in dCBT-I platforms, the potential impact for the users, and the design elements applied to achieve engagement. Six commercially available CBT-I apps tested by scientifically valid methods were accessed and reviewed. Commonalities were identified and categorized into interactive elements, CBT-I-related components, managerial features, and supportive motivational features. The dCBT-I apps were effectively assisting the users, and the type of interactions promoted engagement. The apps’ features were based on design principles from interactive product design, experience design, online social media, and serious gaming. This study contributes to the field by providing a critical summary of the existing dCBT-I apps that could guide future developers in the field to achieve a high engagement.

scholarly journals 0363 Efficacy of Cognitive Behavioral Therapy Delivered via Telemedicine vs. Face-to-Face: Preliminary Results from a Randomized Controlled Non-Inferiority Trial

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A148-A148 ◽  
Author(s):  
J Todd Arnedt ◽  
Deirdre A Conroy ◽  
Ann J Mooney ◽  
Kelley Dubuc ◽  
Alexander Yang ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Face To Face ◽  
Preliminary Results ◽  
Randomized Controlled

scholarly journals Predictors of outcome for telephone and face-to-face administered cognitive behavioral therapy for depression

2015 ◽  
Vol 45 (15) ◽  
pp. 3205-3215 ◽  
Author(s):  
C. Stiles-Shields ◽  
M. E. Corden ◽  
M. J. Kwasny ◽  
S. M. Schueller ◽  
D. C. Mohr
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Rating Scale ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Classification And Regression Tree ◽  
Psychological Characteristics ◽  
Treatment Modalities ◽  
Depression Severity ◽  
Predictors Of Outcome ◽  
Face To Face

BackgroundCognitive behavioral therapy (CBT) can be delivered efficaciously through various modalities, including telephone (T-CBT) and face-to-face (FtF-CBT). The purpose of this study was to explore predictors of outcome in T-CBT and FtF-CBT for depression.MethodA total of 325 depressed participants were randomized to receive eighteen 45-min sessions of T-CBT or FtF-CBT. Depression severity was measured using the Hamilton Depression Rating Scale (HAMD) and the Patient Health Questionnaire-9 (PHQ-9). Classification and regression tree (CART) analyses were conducted with baseline participant demographics and psychological characteristics predicting depression outcomes, HAMD and PHQ-9, at end of treatment (week 18).ResultsThe demographic and psychological characteristics accurately identified 85.3% and 85.0% of treatment responders and 85.7% and 85.0% of treatment non-responders on the HAMD and PHQ-9, respectively. The Coping self-efficacy (CSE) scale predicted outcome on both the HAMD and PHQ-9; those with moderate to high CSE were likely to respond with no other variable influencing that prediction. Among those with low CSE, depression severity influenced response. Social support, physical functioning, and employment emerged as predictors only for the HAMD, and sex predicted response on the PHQ-9. Treatment delivery method (i.e. telephone or face-to-face) did not impact the prediction of outcome.ConclusionsFindings suggest that the predictors of improved depression are similar across treatment modalities. Most importantly, a moderate to high level of CSE significantly increases the chance of responding in both T-CBT and FtF-CBT. Among patients with low CSE, those with lower depressive symptom severity are more likely to do well in treatment.

scholarly journals A blended eHealth intervention for insomnia following acquired brain injury study protocol for a randomized controlled trial

2020 ◽  
Author(s):  
Marthe Ford ◽  
Gert J. Geurtsen ◽  
Erny Groet ◽  
Coen A.M. Van Bennekom ◽  
Eus J.W. Van Someren
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Cognitive Behavioral Therapy ◽  
Cognitive Functioning ◽  
Behavioral Therapy ◽  
Acquired Brain Injury ◽  
Cognitive Behavioral ◽  
Face To Face ◽  
Trial Register ◽  
Insomnia Severity

Abstract Background: Up to a third of stroke patients and patients with traumatic brain injury suffer from insomnia, including problems to fall asleep or stay asleep at night. Insomnia may exacerbate other brain damage-related problems, for example regarding cognitive functioning and emotional well-being, may lead to poorer quality of life, and may complicate recovery processes. Cognitive behavioral therapy for insomnia, delivered face-to-face or online, is found to be effective in the general population. However, despite the high prevalence and serious consequences of insomnia following acquired brain injury, studies on the efficacy of face-to-face cognitive behavioral treatment in this population are scarce, and this applies even more for studies on online cognitive behavioral therapy. Therefore, this study aims to evaluate the efficacy of a newly developed guided online cognitive behavioral therapy for insomnia following acquired brain injury.Methods: A multicenter, prospective, randomized, open-label, blinded end point study (PROBE) will be conducted, in which 48 patients diagnosed with stroke or traumatic brain injury, and insomnia will be randomly allocated to the online cognitive behavioral therapy for insomnia treatment group or the treatment as usual group. The treatment consists of 6 online cognitive behavioral therapy sessions given on a weekly basis and personalized feedback after each session, combined with 2 face-to-face sessions. Outcomes will be assessed at baseline, immediately after the intervention period and at 6 weeks follow up. The primary outcome is the insomnia severity assessed with the insomnia severity index. Secondary outcome measures include sleep quality, sleep features derived from the sleep diary, fatigue, anxiety and depression, subjective cognitive functioning and societal participation.Discussion: This study will provide insight on the efficacy of online cognitive behavioral therapy for insomnia following stroke and traumatic brain injury.Trial Register: Netherlands Trial Register, NTR7082, 12 March 2018

scholarly journals Treatment Preferences for Internet-Based Cognitive Behavioral Therapy for Insomnia in Japan: Online Survey (Preprint)

2018 ◽  
Author(s):  
Daisuke Sato ◽  
Chihiro Sutoh ◽  
Yoichi Seki ◽  
Eiichi Nagai ◽  
Eiji Shimizu
Keyword(s):  
Drug Therapy ◽  
Cognitive Behavioral Therapy ◽  
Online Survey ◽  
Behavioral Therapy ◽  
Low Cost ◽  
Medication Use ◽  
Cognitive Behavioral ◽  
Treatment Preferences ◽  
Face To Face ◽  
Sleep Medication

BACKGROUND The internet has the potential to increase individuals’ access to cognitive behavioral therapy (CBT) for insomnia at low cost. However, treatment preferences regarding internet-based computerized CBT for insomnia have not been fully examined. OBJECTIVE The aim was to conduct an anonymous online survey to evaluate treatment preferences for insomnia among patients with insomnia and individuals without insomnia. METHODS We developed an online survey to recruit a total of 600 participants living in the Kanto district in Japan. There were three subgroups: 200 medicated individuals with insomnia, 200 unmedicated individuals with insomnia, and 200 individuals without insomnia. The survey asked questions about the severity of the respondent’s insomnia (using the Athens Insomnia Scale), the frequency of sleep medication use and the level of satisfaction with sleep medication use, the respondent’s knowledge of CBT, his or her preference for CBT for insomnia before drug therapy, preference for CBT versus drug therapy, and preference for internet-based CBT versus face-to-face CBT. RESULTS Of the 600 respondents, 47.7% (286/600) indicated that they received CBT before drug therapy, and 57.2% (343/600) preferred CBT for insomnia to drug therapy. In addition, 47.0% (282/600) preferred internet-based CBT for insomnia to face-to-face CBT. Although the respondents with insomnia who were taking an insomnia medication had a relatively lower preference for internet-based CBT (40.5%, 81/200), the respondents with insomnia who were not taking an insomnia medication had a relatively higher preference for internet-based CBT (55.5%, 111/200). CONCLUSIONS The results of our online survey suggest that approximately half of the people queried preferred CBT for insomnia to drug therapy, and half of the respondents preferred internet-based CBT for insomnia to face-to-face CBT.

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