Digital Mental Health Interventions for Young People Are Perceived Promising, but Are they Effective

An increasing number of digital mental health interventions are designed for adolescents and young people with a range of mental health issues, but the evidence on their effectiveness is mixed, according to research by Columbia University Mailman School of Public Health and Spark Street Advisors.

Computerized cognitive behavioral therapy was found effective for anxiety and depression in adolescents and young people holding promise for increasing access to mental health treatment for these conditions. However, the effectiveness of other digital interventions, including therapeutic video games, mobile apps, or social networking sites, and addressing a range of other mental health outcomes remain inconclusive. The findings are published online in the journal JMIR Mental Health.

According to UNICEF, nearly 1 in 5 adolescents experience a mental health disorder each year but because of barriers to accessing and seeking care, most remain undiagnosed and untreated.

"While there is evidence that some interventions can be effective when delivered digitally, it is still somewhat of a wild west when it comes to digital mental health apps," said Nina Schwalbe, adjunct assistant professor of Population and Family Health at Columbia Mailman School.

The researchers conducted an analysis of 18 systematic reviews and meta-analyses of digital health interventions. In addition to the findings on computerized cognitive behavioral therapy, some therapeutic areas of digital interventions improved outcomes relative to controls for those who are on the waitlist for services, suggesting that the interventions can be used for supplementing and supplanting traditional mental health treatment in cases where access to care is limited or wait times to access are long.

The Investigators point out that the vast majority - over 90 percent - of interventions studied are implemented in high-income countries, with very little information about the background of participants. Therefore, the generalizability of the findings to young people from different socioeconomic, cultural, racial, or other communities is weak. ""It is critical to assess the effectiveness among different racial and ethnic groups and across geographies," observed Susanna Lehtimaki of Spark Street Advisors.

"There was also no indication of costs of developing the tools or long-term benefits," noted Susanna Lehtimaki of Spark Street Advisors. "Moving forward with effective digital health interventions, it will be important to understand how they fit within the public health ecosystem and to what extent they are effective across a range of settings with different resources or populations."

According to the research, digital mental health interventions were well accepted by those 10 to 24 years of age, however, dropout was common and adherence weak. Engagement of a health professional, peer, or parent as part of the digital intervention were found to strengthen the effectiveness.

Schwalbe notes, "In the spirit of "do no harm" it is really important that the excitement over the promise of digital mental health interventions does not cloud the need for high quality effectiveness studies in a range of settings and with a diverse group of youth." She also notes, "it should go without saying that adolescents also need to be consulted in every stage of the design process and while it may be assumed that young people prefer digital services, we need to continually challenge whether this is true."

Lehtimaki S, Martic J, Wahl B, Foster KT, Schwalbe N.
Evidence on Digital Mental Health Interventions for Adolescents and Young People: Systematic Overview.
JMIR Ment Health 2021. doi: 10.2196/25847

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...