PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic
Introduction The COVID-19 pandemic has caused a significant impact on the mental health of health workers that has brought many hospitals to launch immediate preventive mental health programs. Objectives (1) To adapt and enhance a smartphone app (PRESTOapp) for health workers with mental health sy...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2022-06-01
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| Series: | European Psychiatry |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822014742/type/journal_article |
| _version_ | 1827754402516041728 |
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| author | M. Primé Tous G. Anmella X. Segú M.D.R. Fernández Canseco C. Carrino M. Villegas V. Vicens J. Blanch M. Cavero E. Vieta D. Hidalgo-Mazzei |
| author_facet | M. Primé Tous G. Anmella X. Segú M.D.R. Fernández Canseco C. Carrino M. Villegas V. Vicens J. Blanch M. Cavero E. Vieta D. Hidalgo-Mazzei |
| author_sort | M. Primé Tous |
| collection | DOAJ |
| description |
Introduction
The COVID-19 pandemic has caused a significant impact on the mental health of health workers that has brought many hospitals to launch immediate preventive mental health programs.
Objectives
(1) To adapt and enhance a smartphone app (PRESTOapp) for health workers with mental health symptoms related to the COVID-19, and (2) to demonstrate its potential effectiveness in significantly reducing anxiety-depressive and PTSD symptoms in this population. We aim to incorporate Natural Language Processing (NLP)-based techniques in a chatbot user-interface that will enable a more personalized and accurate monitoring and intervention.
Methods
An 18-months study with a 6-months preliminary phase to adapt PRESTOapp to health workers, enhance it with NLP-based techniques and chatbot user-interface, and evaluate its feasibility, and effectiveness in 12-months.
Results
PRESTOapp has the potential to provide a prompt, personalized and integral response to the mental health demand due to the COVID-19. It will help by providing an innovative digital platform, that will allow remote monitoring of the symptoms course, provide brief psychotherapeutic interventions, and detect urgent situations. If the preliminary results of this study point to a potential effectiveness of the intervention, PRESTOapp may be easily adapted to the general population.
Conclusions
PRESTOapp may be one of the key digital platforms that may help preventing and treating potentially severe mental health consequences. Considering the unresolved problem of burnout in health workers even before the COVID-19, this project will develop the necessary technology for implementing cost-effective mental health solutions, not only during the pandemic.
Disclosure
No significant relationships.
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| first_indexed | 2024-03-11T07:48:34Z |
| format | Article |
| id | doaj.art-c48ae0ef65184c7d96f561a0a35b0639 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:48:34Z |
| publishDate | 2022-06-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-c48ae0ef65184c7d96f561a0a35b06392023-11-17T05:07:08ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-06-0165S575S57510.1192/j.eurpsy.2022.1474PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemicM. Primé Tous0G. Anmella1X. Segú2M.D.R. Fernández Canseco3C. Carrino4M. Villegas5V. Vicens6J. Blanch7M. Cavero8E. Vieta9D. Hidalgo-Mazzei10Hospital Clínic de Barcelona, Department Of Psychiatry And Psychology, Barcelona, SpainHospital Clínic de Barcelona, Department Of Psychiatry And Psychology, Barcelona, SpainHospital Clínic de Barcelona, Department Of Psychiatry And Psychology, Barcelona, SpainBarcelona Supercomputing Center, Text Mining Unit, Barcelona, SpainBarcelona Supercomputing Center, Text Mining Unit, Barcelona, SpainBarcelona Supercomputing Center, Text Mining Unit, Barcelona, SpainAbi Global Health, Chief Medical Officer And Co-founder, Barcelona, SpainHospital Clínic,, 1department Of Psychiatry And Psychology, Barcelona, SpainHospital Clínic,, 1department Of Psychiatry And Psychology, Barcelona, SpainHospital Clínic de Barcelona, Bipolar And Depressive Disorders Unit, Institute Of Neuroscience, Barcelona, SpainHospital Clínic de Barcelona, Department Of Psychiatry And Psychology, Barcelona, Spain Introduction The COVID-19 pandemic has caused a significant impact on the mental health of health workers that has brought many hospitals to launch immediate preventive mental health programs. Objectives (1) To adapt and enhance a smartphone app (PRESTOapp) for health workers with mental health symptoms related to the COVID-19, and (2) to demonstrate its potential effectiveness in significantly reducing anxiety-depressive and PTSD symptoms in this population. We aim to incorporate Natural Language Processing (NLP)-based techniques in a chatbot user-interface that will enable a more personalized and accurate monitoring and intervention. Methods An 18-months study with a 6-months preliminary phase to adapt PRESTOapp to health workers, enhance it with NLP-based techniques and chatbot user-interface, and evaluate its feasibility, and effectiveness in 12-months. Results PRESTOapp has the potential to provide a prompt, personalized and integral response to the mental health demand due to the COVID-19. It will help by providing an innovative digital platform, that will allow remote monitoring of the symptoms course, provide brief psychotherapeutic interventions, and detect urgent situations. If the preliminary results of this study point to a potential effectiveness of the intervention, PRESTOapp may be easily adapted to the general population. Conclusions PRESTOapp may be one of the key digital platforms that may help preventing and treating potentially severe mental health consequences. Considering the unresolved problem of burnout in health workers even before the COVID-19, this project will develop the necessary technology for implementing cost-effective mental health solutions, not only during the pandemic. Disclosure No significant relationships. https://www.cambridge.org/core/product/identifier/S0924933822014742/type/journal_articleCovid-19Natural Language Processing (NLP)health workerse-mental health |
| spellingShingle | M. Primé Tous G. Anmella X. Segú M.D.R. Fernández Canseco C. Carrino M. Villegas V. Vicens J. Blanch M. Cavero E. Vieta D. Hidalgo-Mazzei PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic European Psychiatry Covid-19 Natural Language Processing (NLP) health workers e-mental health |
| title | PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic |
| title_full | PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic |
| title_fullStr | PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic |
| title_full_unstemmed | PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic |
| title_short | PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic |
| title_sort | prestoapp for health workers with mental health symptoms related to the covid 19 pandemic |
| topic | Covid-19 Natural Language Processing (NLP) health workers e-mental health |
| url | https://www.cambridge.org/core/product/identifier/S0924933822014742/type/journal_article |
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