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The use of new technology in prevention and treatment of psychiatric diseases - preliminary results

Published online by Cambridge University Press:  19 July 2023

A. Häussl ,
F. Fellendorf ,
E. Fleischmann ,
S. Guggemos ,
E. Schönthaler ,
T. Stross ,
I. Zwigl ,
D. Albert ,
J. Mosbacher  and
K. Stix
...Show all authors
A. Häussl*
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
F. Fellendorf
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
E. Fleischmann
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
S. Guggemos
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
E. Schönthaler
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
T. Stross
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
I. Zwigl
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
D. Albert
Affiliation:
Institute of Psychology, University of Graz
J. Mosbacher
Affiliation:
Institute of Psychology, University of Graz
K. Stix
Affiliation:
Institute of Psychology, University of Graz
S. Draxler
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
G. Lodron
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
T. Orgel
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
M. Pszeida
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
S. Russegger
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
M. Schneeberger
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
M. Uray
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
W. Weiss
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
M. Fellner
Affiliation:
digitAAL Life GmbH, Graz
T. Fruhmann
Affiliation:
digitAAL Life GmbH, Graz
R. Hartmann
Affiliation:
digitAAL Life GmbH, Graz
P. Hauptmann
Affiliation:
digitAAL Life GmbH, Graz
R. Pfiszter
Affiliation:
digitAAL Life GmbH, Graz
G. Pötz
Affiliation:
digitAAL Life GmbH, Graz
U. Prattner
Affiliation:
digitAAL Life GmbH, Graz
N. Saran
Affiliation:
digitAAL Life GmbH, Graz
S. Spat
Affiliation:
digitAAL Life GmbH, Graz
E. Zweytik
Affiliation:
digitAAL Life GmbH, Graz
T. Lutz
Affiliation:
Symptoma GmbH, Attersee
S. Lindner-Rabl
Affiliation:
Department of Internal Medicine, Research Unit Aging and Old Age Medicine, Medical University of Graz, Graz
R. Roller-Wirnsberger
Affiliation:
Department of Internal Medicine, Research Unit Aging and Old Age Medicine, Medical University of Graz, Graz
S. Schüssler
Affiliation:
Department of Internal Medicine, Research Unit Aging and Old Age Medicine, Medical University of Graz, Graz
J. Zuschnegg
Affiliation:
Department of Internal Medicine, Research Unit Aging and Old Age Medicine, Medical University of Graz, Graz
K. Ceron
Affiliation:
Humanizing Technologies, Vienna
M. Danilov
Affiliation:
Humanizing Technologies, Vienna
C. Grossegger
Affiliation:
Humanizing Technologies, Vienna
M. Macher
Affiliation:
Humanizing Technologies, Vienna
O. Sokolov
Affiliation:
Humanizing Technologies, Vienna
S. Egger-Lampl
Affiliation:
MINDCONSOLE GmbH, Graz, Austria
B. Roszipal
Affiliation:
MINDCONSOLE GmbH, Graz, Austria
L. Paletta
Affiliation:
DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
M. Lenger
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz DIGITAL – Institute for Information and Communication Technologies, Joanneum Research Forschungsgesellschaft mbH
N. Dalkner
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
E. Reininghaus
Affiliation:
Clinical department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz
*
*Corresponding author.

Abstract

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Introduction

The COVID-19 outbreak is a serious global public health issue with wide-ranging negative effects on people’s lives, which is reflected in steadily rising mental health problems. In order to appropriately respond to the increased occurrence of psychiatric illness, protect mental health and strengthen resilience it is necessary to include new technologies, such as extended reality (XR) or socially assistive robots (SAR) in not only psychiatric treatment but also in the prevention of psychiatric diseases. In this context, the use of new technologies offers innovative ways to strengthen resilience, self-efficacy and stress coping skills and plays an important role in improving psychological wellbeing.

Objectives

Preliminary results from studies at the Clinical Department of Psychiatry and Psychotherapeutic Medicine in Graz, Austria, dealing with new technologies in psychiatry, show new options for psychiatric settings.

Methods

Project AMIGA: The aim of this study is to test the effectiveness of a cognitive training session, conducted with the SAR named Pepper. In this randomized controlled trial, the effectiveness of SAR on depressive symptoms and correlates is evaluated in a sample of 60 individuals with major depression. While the intervention group will receive cognitive training with the SAR Pepper, the control group will receive “treatment-as-usual” therapy with a common PC software. Participants will receive 30 minutes of training 2 times per week over a period of 3 weeks.

Project XRes4HEALTH: The aim of this study is to develop an XR resilience training to increase resilience and stress coping mechanisms in healthcare workers. A total of 40 people will be included. To test the effectiveness of the resilience training, 3 XR training sessions of 15 minutes each will be held. A pre-post measurement will test the effectiveness of the training on wellbeing and stress levels as well as the acceptance and satisfaction with the training.

Project AI-REFIT: The overall goal of this study is to explore key information to increase resilience in healthy individuals who are at increased risk for mental health problems. Through a usability study, the artificial intelligence-based prototype app of the resilience training will be tested for acceptance, usability, functionality, and efficiency. During the resilience training, participants are wearing a smartwatch which measures psychophysiological parameters. Conclusions about the success of the therapy can be drawn based on digital data acquisition.

Results

New technologies including XR and SAR support classical psychiatric treatment in the topics of resilience and cognitive training as an add-on therapy in times of reduced availability of healthcare workers.

Conclusions

The rapid development of new technologies holds a lot of potential in the treatment of psychiatric disorders, which is why it is important to scientifically evaluate those innovative tools.

Disclosure of Interest

None Declared

Type
Abstract
Information
European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S853 - S854
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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