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Internet Based Interventions and Patient Generated Bio- and Self-monitoring Data: How to Use them for Self-management in Affective Disorders
Published online by Cambridge University Press: 23 March 2020
Abstract
Even in developed countries only a small minority of patients with depression and bipolar disorders receives treatment according to guidelines and the treatment gaps are especially pronounced concerning psychotherapy.
A variety of digital and internet based interventions have been developed mainly building on the principles of Cognitive Behavioral Therapy (CBT). A quite consistent finding is superiority compared to control groups with largest effect sizes when compared to waiting list controls, however the evidence provided by such studies is questionable. More support for efficacy is provided by studies showing a comparable efficacy compared to face-to-face CBT, however sufficiently powered non-inferiority studies compared to antidepressants or face-to-face therapy are needed. Such studies are necessary for deciding whether digital intervention should be integrated in the health care system mainly as a self-management tool or as an alternative to regular treatment with psychotherapy or pharmacotherapy.
A dynamic new area of research explores the value for self-management and treatment decision of longitudinal data generated by the patient via self-ratings, wearables and other biosensors as well as the pattern of smartphone use. Within the BMBF-funded study STEADY a platform will be developed which allows the individual patient to securely store and integrate these data and to analyze them using analytic tools involving time series analyses. An overview will be given of similar approaches started in the last years within mental health.
Within the last three years, Prof. Hegerl was an advisory board member for Lundbeck, Takeda Pharmaceuticals, Servier and Otsuka Pharma a consultant for Bayer Pharma and a speaker for Medice Arzneimittel, Novartis and Roche Pharma.
- Type
- Symposium: New IT (information technology) applications in mental health: how we can improve outcomes?
- Information
- European Psychiatry , Volume 41 , Issue S1: Abstract of the 25th European Congress of Psychiatry , April 2017 , pp. S22 - S23
- Copyright
- Copyright © European Psychiatric Association 2017
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