Authors: Julia Boberg; Viktor Kaldo; David Mataix-Cols; James J Crowley; Bjorn Roelstraete; Matthew Halvorsen; Erik Forsell; Nils H Isacsson; Patrick F Sullivan; Cecilia Svanborg; Evelyn H Andersson; Nils Lindefors; Olly Kravchenko; Manuel Mattheisen; Hilda B Danielsdottir; Ekaterina Ivanova; Magnus Boman; Lorena Fernández de la Cruz; John Wallert; Christian Rück · Research

Can We Predict Who Will Benefit Most From Online Therapy for Depression and Anxiety?

A groundbreaking study examines genetic and clinical factors that influence success in internet-delivered therapy for mental health conditions

Source: Boberg, J., Kaldo, V., Mataix-Cols, D., Crowley, J. J., Roelstraete, B., Halvorsen, M., ... & Rück, C. (2023). Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH). BMJ Open, 13(10), e069427.

What you need to know

  • Internet-delivered Cognitive Behavioral Therapy (ICBT) is an effective treatment for depression and anxiety, but doesn’t work equally well for everyone
  • This study combines genetic information, clinical data, and long-term outcomes to better predict who will benefit most from online therapy
  • Understanding treatment response patterns could help match patients with the most suitable interventions

The Challenge of Mental Health Treatment

Depression and anxiety are among the most common mental health conditions worldwide, affecting millions of people. While we have effective treatments like cognitive behavioral therapy (CBT), delivering these treatments to everyone who needs them can be challenging. Internet-delivered CBT (ICBT) has emerged as a promising solution, making therapy more accessible. However, like any treatment, it doesn’t work equally well for everyone - some people show dramatic improvement, while others may see little benefit or even get worse.

A New Approach to Understanding Treatment Success

The MULTI-PSYCH study takes an innovative approach by collecting multiple types of information about patients receiving ICBT in Sweden. This includes:

  • Genetic data from blood samples
  • Weekly symptom measurements during treatment
  • Long-term follow-up data from national health registers
  • Detailed information about how patients interact with the online therapy platform

This comprehensive dataset allows researchers to examine treatment success from multiple angles and potentially identify patterns that could predict who will benefit most from ICBT.

Early Findings and Implications

One fascinating early finding from the study suggests that genetic factors associated with autism spectrum disorders may influence how well people respond to ICBT for depression. This highlights how our individual genetic makeup might affect our response to psychological treatments, just as it can affect our response to medications.

The researchers have also developed machine learning models that combine multiple types of information to predict treatment outcomes. While still in early stages, this work moves us closer to being able to identify which patients are most likely to benefit from ICBT before they begin treatment.

Looking at Long-Term Outcomes

Unlike many previous studies that only look at immediate treatment outcomes, MULTI-PSYCH follows patients for up to 10 years after treatment. This long-term perspective helps us understand not just whether someone improves during therapy, but whether those improvements last and how they affect other aspects of life, such as work, relationships, and overall health.

What This Means for You

If you’re considering online therapy, these findings suggest that:

  • Your response to treatment is individual and influenced by many factors
  • Being honest about your symptoms and engaging actively with the program gives the best chance of success
  • If online therapy isn’t working well for you, it doesn’t mean therapy won’t work - you might just need a different approach

Conclusions

  • The future of mental health treatment is becoming more personalized, taking into account individual differences that might affect treatment success
  • Combining different types of information (genetic, clinical, and behavioral) could help match patients with the most effective treatments
  • Long-term follow-up is crucial for understanding the true impact of psychological treatments on people’s lives
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