Availability of internet-based cognitive behavioral therapies (iCBTs) for depression: A systematic review

Buss, John F.; Lorenzo‐Luaces, Lorenzo; Banks, Gabrielle G.; Horani, Deena; Rutter, Lauren A.; Wasil, Akash R.

doi:10.31234/osf.io/2jwgd

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…As we have emphasized, it is also important to evaluate the acceptability, implementation, and uptake of such interventions. Unfortunately, as mentioned previously, few digital interventions have demonstrated acceptability and uptake in real-world settings ( Fleming et al, 2018 ; Buss et al, 2020 ). Drop-out rates in open trials of digital interventions are high ( Fleming et al, 2018 ), users rarely spend more than a few minutes on digital mental health interventions ( Baumel et al, 2019 ), and most publicly available mental health apps generally fail to retain users ( Wasil et al, 2020e ).…”

Section: Discussionmentioning

confidence: 99%

Promoting Graduate Student Mental Health During COVID-19: Acceptability, Feasibility, and Perceived Utility of an Online Single-Session Intervention

et al. 2021

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The COVID-19 outbreak has simultaneously increased the need for mental health services and decreased their availability. Brief online self-help interventions that can be completed in a single session could be especially helpful in improving access to care during the crisis. However, little is known about the uptake, acceptability, and perceived utility of these interventions outside of clinical trials in which participants are compensated. Here, we describe the development, deployment, acceptability ratings, and pre–post effects of a single-session intervention, the Common Elements Toolbox (COMET), adapted for the COVID-19 crisis to support graduate and professional students. Participants (n = 263), who were not compensated, were randomly assigned to two of three modules: behavioral activation, cognitive restructuring, and gratitude. Over 1 week, 263 individuals began and 189 individuals (72%) completed the intervention. Participants reported that the intervention modules were acceptable (93% endorsing), helpful (88%), engaging (86%), applicable to their lives (87%), and could help them manage COVID-related challenges (88%). Participants reported pre- to post-program improvements in secondary control (i.e., the belief that one can control their reactions to objective events; dav = 0.36, dz = 0.50, p < 0.001) and in the perceived negative impact of the COVID-19 crisis on their quality of life (dav = 0.22, dz = 0.25, p < 0.001). On average, differences in their perceived ability to handle lifestyle changes resulting from the pandemic were positive, but small and at the level of a non-significant trend (dav = 0.13, dz = 0.14, p = 0.066). Our results highlight the acceptability and utility of an online intervention for supporting individuals through the COVID-19 crisis.

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Section: Discussionmentioning

confidence: 99%

Promoting Graduate Student Mental Health During COVID-19: Acceptability, Feasibility, and Perceived Utility of an Online Single-Session Intervention

et al. 2021

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“…A handful of mental health apps, for example, account for the majority of users of mental health apps (Wasil, Gillespie, et al, 2021;Wasil, Palermo, et al, 2021), and the apps that are most popular are often not the ones using techniques that have a good evidence base (Wasil et al, 2019). Conversely, when researchers find individual self-help materials efficacious, they rarely make these publicly available (Buss et al, 2020). Better dissemination of low-intensity resources is therefore strongly warranted.…”

Section: Plurality Of Treatmentsmentioning

confidence: 99%

Wider, faster, more: Re-envisioning the treatment and research of depression to address its public health burden in the United States

Lorenzo‐Luaces¹

2022

Preprint

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Depression and other internalizing disorder symptoms are leading causes of disability in theUnited States. Although there are effective interventions, the burden of disability attributableto internalizing disorder symptoms is not decreasing. I review clinical and epidemiological datato identify solutions to the public health burden of internalizing disorder symptoms. Contemporary research efforts have a focus on treatment development and the identification of biomarkers of response. However, these solutions are not scalable because internalizing disorders are much more common than usually appreciated and there are substantial disparities in access to mental health care. Improving the dissemination of individual interventions may also be of limited value given data suggesting that high rates of symptom remission can only be achieved with multiple (e.g., 4-10) treatment steps. The logic of stepped care approaches for internalizing disorders is well-supported by these data, but initial treatments likely should be low-intensity and “stepping up” should occur more quickly than usually done in most trials. Efforts that promise to make an impact in the public health burden of internalizing disorder symptoms need to consider their high prevalence and heterogeneity in the level of care as well as in the mechanisms that treatments may need to engage.

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“…Nonetheless, BA is underutilized in routine care settings (Becker et al, 2013;Stewart & Chambless, 2007), and is not represented in many popular apps for mental well-being (Buss, Steinberg, et al, 2023). Furthermore, gaps remain in the literature to understand how BA is defined and assessed (Lorenzo-Luaces, 2023;Lorenzo-Luaces et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Self-guided behavioral activation using an online single-session intervention: Content and lexical analyses of activity scheduling

Peipert,

Rutter,

Howard

et al. 2024

Preprint

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The Common Elements Toolbox (COMET) is a self-guided online single-session intervention(SSI)containing cognitive-behavioral elements, including behavioral activation (BA).Little is known about the process of activity scheduling in BA.Using data from an 8-week randomized controlled trial of COMET with409online workers with a history of psychopathology, two raters coded the types of activities individuals scheduled during the intervention. Additionally, we compared the activities to a BA dictionary developed from therapist-led psychotherapy. We explored baseline clinical and demographic variables that were predictive of the activity category scheduled and explored the scheduled activity category as a predictor of depression, anxiety, and well-being post-intervention.Results yielded 9 different activity types, most commonly sedentary hobbies (41%), physical activity (29%), and active hobbies (18%).We found a small overlap (17%)between the self-guided BA activities in our COMET sample and those in the existing BA dictionary. Demographic variables were predictive of activity category, but clinical variables were not. The type of activity scheduled was not predictive of post-intervention outcomes.In self-guided BA, individuals, particularly men, less educated participants, and racial-ethnic minorities, tend to pick sedentary activities. Findings underscore the need for adaptive and personalized interventions.

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Availability of internet-based cognitive behavioral therapies (iCBTs) for depression: A systematic review

Cited by 8 publications

References 25 publications

Promoting Graduate Student Mental Health During COVID-19: Acceptability, Feasibility, and Perceived Utility of an Online Single-Session Intervention

Promoting Graduate Student Mental Health During COVID-19: Acceptability, Feasibility, and Perceived Utility of an Online Single-Session Intervention

Wider, faster, more: Re-envisioning the treatment and research of depression to address its public health burden in the United States

Self-guided behavioral activation using an online single-session intervention: Content and lexical analyses of activity scheduling

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