A cognitive behavioral therapy (CBT) app has been found to significantly prevent increases in depression in young people who are at high risk—and could be implemented as a cost effective public mental health measure.

Globally, concern is growing about the high and steadily increasing rates of anxiety and depression in young people. Effective and scalable ways of preventing poor mental health in this group are needed, and digital tools such as mobile apps have been proposed as part of the solution.

While there is emerging evidence of mental health apps being effective in treating anxiety and depression, this project led by the University of Exeter is the first to rigorously test a mental health app on such a large scale across four countries. Two linked papers published in Lancet Digital Health report the results of the ECoWeB-PREVENT and ECoWeB-PROMOTE trials, which ran concurrently in the four-year study.

The studies are titled “Emotional competence self-help app versus cognitive-behavioral self-help app versus self-monitoring app to prevent depression in young adults with elevated risk (ECoWeB PREVENT): an international, multicentre, parallel, open-label, randomized controlled trial” and “Emotional competence self-help mobile phone app versus cognitive behavioral self-help app versus self-monitoring app to promote mental well-being in healthy young adults (ECoWeB PROMOTE): an international, multicentre, parallel, open-label, randomized controlled trial,” and both are published in Lancet Digital Health.

Critically, these studies found that a CBT self-help app can protect vulnerable young people against depression.

Professor Ed Watkins from the University of Exeter led the project and said, “For young people with elevated risk, our findings suggest the CBT app does have a preventative effect on depression and could have a public health benefit. Participants’ quality-of-life measures were better, and their reported work and social functioning was better.

“However, we also found that it’s hard to make improvements in young people who are basically doing okay. Our findings add to the evidence that prevention of depression works best when we identify and select individuals who are more at risk, rather than take a more universal approach. This identification could be done by an online self-screening process or through professional referral.”

The aim of the project was to test the effects of mobile apps in preventing depression and promoting mental well-being for young people aged 16 to 22. In one of the largest studies of its kind, 3,700 young people took part across the UK, Germany, Belgium, and Spain and were allocated into two trials based on their emotional competence abilities at the start of the study.

That resulted in 1,200 young people with reduced emotional competency scores that confer increased risk for depression such as increased worry and overthinking going into one trial focused on prevention, while 2,500 without such risk went into the other trial focused on well-being promotion.

Those two groups were then randomized in equal numbers to three different apps developed by the study. There was a self-monitoring app where people could report their emotions every day, a self-help app that provided personalized training in emotional competence skills, and a self-help app based on CBT principles. Participants were then followed up at three months and 12 months to see how their well-being and depression symptoms changed.

The trials found the CBT app prevented an increase in depression, relative to self-monitoring in the higher risk sample, but that there was no difference between any of the interventions in their effects for the lower risk sample.

Professor Ed Watkins said, “Our results suggest that even when young people used the self-help app just a few times, there was a small but meaningful benefit. Because the app is scalable to large numbers of people in a cost-effective way, these effects have potential value as a public health intervention, within a broader portfolio of digital and in-person services and interventions.

“Next steps are to identify the active ingredients of the app that were beneficial and to improve engagement and ongoing use of these elements.”

The project involved 13 different partners, including two commercial companies—German voice analysis company audEERING and Danish app creator Monsenso. The University of Exeter (UK), LMU Munich (Germany), Ghent University (Belgium), and Universitat Jaume I (Spain), were the main treatment development and trial sites. Meanwhile, the University of Oxford led on the qualitative analysis.