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

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...

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Autores principales: Häussl, A., Fellendorf, F., Fleischmann, E., Guggemos, S., Schönthaler, E., Stross, T., Zwigl, I., Albert, D., Mosbacher, J., Stix, K., Draxler, S., Lodron, G., Orgel, T., Pszeida, M., Russegger, S., Schneeberger, M., Uray, M., Weiss, W., Fellner, M., Fruhmann, T., Hartmann, R., Hauptmann, P., Pfiszter, R., Pötz, G., Prattner, U., Saran, N., Spat, S., Zweytik, E., Lutz, T., Lindner-Rabl, S., Roller-Wirnsberger, R., Schüssler, S., Zuschnegg, J., Ceron, K., Danilov, M., Grossegger, C., Macher, M., Sokolov, O., Egger-Lampl, S., Roszipal, B., Paletta, L., Lenger, M., Dalkner, N., Reininghaus, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478888/
http://dx.doi.org/10.1192/j.eurpsy.2023.1808
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author Häussl, A.
Fellendorf, F.
Fleischmann, E.
Guggemos, S.
Schönthaler, E.
Stross, T.
Zwigl, I.
Albert, D.
Mosbacher, J.
Stix, K.
Draxler, S.
Lodron, G.
Orgel, T.
Pszeida, M.
Russegger, S.
Schneeberger, M.
Uray, M.
Weiss, W.
Fellner, M.
Fruhmann, T.
Hartmann, R.
Hauptmann, P.
Pfiszter, R.
Pötz, G.
Prattner, U.
Saran, N.
Spat, S.
Zweytik, E.
Lutz, T.
Lindner-Rabl, S.
Roller-Wirnsberger, R.
Schüssler, S.
Zuschnegg, J.
Ceron, K.
Danilov, M.
Grossegger, C.
Macher, M.
Sokolov, O.
Egger-Lampl, S.
Roszipal, B.
Paletta, L.
Lenger, M.
Dalkner, N.
Reininghaus, E.
author_facet Häussl, A.
Fellendorf, F.
Fleischmann, E.
Guggemos, S.
Schönthaler, E.
Stross, T.
Zwigl, I.
Albert, D.
Mosbacher, J.
Stix, K.
Draxler, S.
Lodron, G.
Orgel, T.
Pszeida, M.
Russegger, S.
Schneeberger, M.
Uray, M.
Weiss, W.
Fellner, M.
Fruhmann, T.
Hartmann, R.
Hauptmann, P.
Pfiszter, R.
Pötz, G.
Prattner, U.
Saran, N.
Spat, S.
Zweytik, E.
Lutz, T.
Lindner-Rabl, S.
Roller-Wirnsberger, R.
Schüssler, S.
Zuschnegg, J.
Ceron, K.
Danilov, M.
Grossegger, C.
Macher, M.
Sokolov, O.
Egger-Lampl, S.
Roszipal, B.
Paletta, L.
Lenger, M.
Dalkner, N.
Reininghaus, E.
author_sort Häussl, A.
collection PubMed
description 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
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spelling pubmed-104788882023-09-06 The use of new technology in prevention and treatment of psychiatric diseases - preliminary results Häussl, A. Fellendorf, F. Fleischmann, E. Guggemos, S. Schönthaler, E. Stross, T. Zwigl, I. Albert, D. Mosbacher, J. Stix, K. Draxler, S. Lodron, G. Orgel, T. Pszeida, M. Russegger, S. Schneeberger, M. Uray, M. Weiss, W. Fellner, M. Fruhmann, T. Hartmann, R. Hauptmann, P. Pfiszter, R. Pötz, G. Prattner, U. Saran, N. Spat, S. Zweytik, E. Lutz, T. Lindner-Rabl, S. Roller-Wirnsberger, R. Schüssler, S. Zuschnegg, J. Ceron, K. Danilov, M. Grossegger, C. Macher, M. Sokolov, O. Egger-Lampl, S. Roszipal, B. Paletta, L. Lenger, M. Dalkner, N. Reininghaus, E. Eur Psychiatry Abstract 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 Cambridge University Press 2023-07-19 /pmc/articles/PMC10478888/ http://dx.doi.org/10.1192/j.eurpsy.2023.1808 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Abstract
Häussl, A.
Fellendorf, F.
Fleischmann, E.
Guggemos, S.
Schönthaler, E.
Stross, T.
Zwigl, I.
Albert, D.
Mosbacher, J.
Stix, K.
Draxler, S.
Lodron, G.
Orgel, T.
Pszeida, M.
Russegger, S.
Schneeberger, M.
Uray, M.
Weiss, W.
Fellner, M.
Fruhmann, T.
Hartmann, R.
Hauptmann, P.
Pfiszter, R.
Pötz, G.
Prattner, U.
Saran, N.
Spat, S.
Zweytik, E.
Lutz, T.
Lindner-Rabl, S.
Roller-Wirnsberger, R.
Schüssler, S.
Zuschnegg, J.
Ceron, K.
Danilov, M.
Grossegger, C.
Macher, M.
Sokolov, O.
Egger-Lampl, S.
Roszipal, B.
Paletta, L.
Lenger, M.
Dalkner, N.
Reininghaus, E.
The use of new technology in prevention and treatment of psychiatric diseases - preliminary results
title The use of new technology in prevention and treatment of psychiatric diseases - preliminary results
title_full The use of new technology in prevention and treatment of psychiatric diseases - preliminary results
title_fullStr The use of new technology in prevention and treatment of psychiatric diseases - preliminary results
title_full_unstemmed The use of new technology in prevention and treatment of psychiatric diseases - preliminary results
title_short The use of new technology in prevention and treatment of psychiatric diseases - preliminary results
title_sort use of new technology in prevention and treatment of psychiatric diseases - preliminary results
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478888/
http://dx.doi.org/10.1192/j.eurpsy.2023.1808
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