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A Free App for Diagnosing Burnout (BurnOut App): Development Study
BACKGROUND: Health specialists take care of us, but who takes care of them? These professionals are the most vulnerable to the increasingly common syndrome known as burnout. Burnout is a syndrome conceptualized as a result of chronic workplace stress that has not been successfully managed. OBJECTIVE...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490524/ https://www.ncbi.nlm.nih.gov/pubmed/36066932 http://dx.doi.org/10.2196/30094 |
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author | Godia, Jordi Pifarré, Marc Vilaplana, Jordi Solsona, Francesc Abella, Francesc Calvo, Antoni Mitjans, Anna Gonzalez-Olmedo, Maria Pau |
author_facet | Godia, Jordi Pifarré, Marc Vilaplana, Jordi Solsona, Francesc Abella, Francesc Calvo, Antoni Mitjans, Anna Gonzalez-Olmedo, Maria Pau |
author_sort | Godia, Jordi |
collection | PubMed |
description | BACKGROUND: Health specialists take care of us, but who takes care of them? These professionals are the most vulnerable to the increasingly common syndrome known as burnout. Burnout is a syndrome conceptualized as a result of chronic workplace stress that has not been successfully managed. OBJECTIVE: This study aims to develop a useful app providing burnout self-diagnosis and tracking of burnout through a simple, intuitive, and user-friendly interface. METHODS: We present the BurnOut app, an Android app developed using the Xamarin and MVVMCross platforms, which allows users to detect critical cases of psychological discomfort by implementing the Goldberg and Copenhagen Burnout Inventory tests. RESULTS: The BurnOut app is robust, user-friendly, and efficient. The good performance of the app was demonstrated by comparing its features with those of similar apps in the literature. CONCLUSIONS: The BurnOut app is very useful for health specialists or users, in general, to detect burnout early and track its evolution. |
format | Online Article Text |
id | pubmed-9490524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94905242022-09-22 A Free App for Diagnosing Burnout (BurnOut App): Development Study Godia, Jordi Pifarré, Marc Vilaplana, Jordi Solsona, Francesc Abella, Francesc Calvo, Antoni Mitjans, Anna Gonzalez-Olmedo, Maria Pau JMIR Med Inform Original Paper BACKGROUND: Health specialists take care of us, but who takes care of them? These professionals are the most vulnerable to the increasingly common syndrome known as burnout. Burnout is a syndrome conceptualized as a result of chronic workplace stress that has not been successfully managed. OBJECTIVE: This study aims to develop a useful app providing burnout self-diagnosis and tracking of burnout through a simple, intuitive, and user-friendly interface. METHODS: We present the BurnOut app, an Android app developed using the Xamarin and MVVMCross platforms, which allows users to detect critical cases of psychological discomfort by implementing the Goldberg and Copenhagen Burnout Inventory tests. RESULTS: The BurnOut app is robust, user-friendly, and efficient. The good performance of the app was demonstrated by comparing its features with those of similar apps in the literature. CONCLUSIONS: The BurnOut app is very useful for health specialists or users, in general, to detect burnout early and track its evolution. JMIR Publications 2022-09-06 /pmc/articles/PMC9490524/ /pubmed/36066932 http://dx.doi.org/10.2196/30094 Text en ©Jordi Godia, Marc Pifarré, Jordi Vilaplana, Francesc Solsona, Francesc Abella, Antoni Calvo, Anna Mitjans, Maria Pau Gonzalez-Olmedo. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 06.09.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Godia, Jordi Pifarré, Marc Vilaplana, Jordi Solsona, Francesc Abella, Francesc Calvo, Antoni Mitjans, Anna Gonzalez-Olmedo, Maria Pau A Free App for Diagnosing Burnout (BurnOut App): Development Study |
title | A Free App for Diagnosing Burnout (BurnOut App): Development Study |
title_full | A Free App for Diagnosing Burnout (BurnOut App): Development Study |
title_fullStr | A Free App for Diagnosing Burnout (BurnOut App): Development Study |
title_full_unstemmed | A Free App for Diagnosing Burnout (BurnOut App): Development Study |
title_short | A Free App for Diagnosing Burnout (BurnOut App): Development Study |
title_sort | free app for diagnosing burnout (burnout app): development study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490524/ https://www.ncbi.nlm.nih.gov/pubmed/36066932 http://dx.doi.org/10.2196/30094 |
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