Computer Programs and Mobile Apps may Help Meet the Growing Demand for Mental Healthcare

The COVID-19 pandemic has had a major impact on mental health across the globe. Depression is predicted to be the leading cause of lost life years due to illness by 2030. At the same time, less than 1 in 5 people receive appropriate treatment.

Digital interventions - which package up psychotherapeutic components into a computer program or mobile app - have been proposed as a way of meeting the unmet demand for psychological treatment. As digital interventions are becoming increasingly adopted within both private and public healthcare systems, researchers asked if digital interventions are as effective as traditional face-to-face therapy, whether the benefits are also found in public healthcare settings and what is the role of human support.

A global team of researchers from the University of Helsinki (Finland), University of Freiburg and Ulm University (Germany), Vrije Universiteit Amsterdam (The Netherlands) and the University of Pavia (Italy) carried out a systematic review and meta-analysis of randomized controlled trials of digital interventions for the treatment of depression. In total, 83 unique studies published between 1990 and 2020 and reporting on 15,530 individuals were included in the final analysis, making this the largest and most comprehensive analysis of digital interventions for depression conduct to-date.

The results of the meta-analysis are published in Psychological Bulletin.

"Software alone just isn’t enough for many people"

Overall, the researchers found that digital interventions are effective in the treatment of depression. However, support from a human is still required to maximize adherence and deliver outcomes similar to face-to-face therapy.

"Digital interventions could provide a viable, evidence-based method of meeting the growing demand for mental health care, especially where people are unable to access face-to-face therapy due to long waiting lists, financial constraints or other barriers. However, despite the advances in technology, our research showed that human support is still required to achieve outcomes similar to face-to-face therapy. Software alone just isn’t enough for many people, especially individuals who suffer from moderate or more severe symptoms," says Isaac Moshe, PhD researcher at the University of Helsinki and lead author of the study.

Although support of a human is necessary to achieve effective outcomes, the study found that there was no difference in outcomes when support was provided by highly qualified clinicians and when it was provided by those with lower qualification levels, such as students or trainees. Moshe says that this opens up lots of possibilities to scale these interventions by training support workers.

AI and new technological devices can help preventing mental illness

The rise of artificial intelligence and new technological devices may also have a key role to play in the prevention of mental illness.

"Over 3 billion people now own a smartphone and wearable devices are growing in popularity. These devices produce a continuous stream of data related to a person’s behavior and physiology. With new developments in artificial intelligence and machine learning, we now have promising methods of using this data to identify if someone is at risk of developing a mental illness. We can then use that data to deliver personalized interventions early on to prevent symptoms from worsening," says Dr. Lasse Sander from the University of Freiburg, who led the international research team.

Despite the promising opportunities for technology to help tackle the growing mental health crisis, Moshe advises some caution:

"It is important to note that the majority of studies conducted to-date have included people with mild-to-moderate depression. There are very few studies involving people with severe depression or individuals at risk of suicide, leaving the evidence unclear for the role of digital interventions for the treatment of severe and complex depression. Another area where more research is desperately needed is with smartphone apps. Despite over 10,000 smartphone apps targeting mental health available for download, we found only 4 properly conducted randomized control trials assessing their efficacy."

Moshe I, Terhorst Y, Philippi P, Domhardt M, Cuijpers P, Cristea I, Pulkki-Råback L, Baumeister H, Sander LB.
Digital interventions for the treatment of depression: A meta-analytic review.
Psychological Bulletin, 147(8), 749–786. doi: 10.1037/bul0000334

Most Popular Now

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...