A Free App for Diagnosing Burnout (BurnOut App): Development Study
BackgroundHealth 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 successfu...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2022-09-01
|
| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2022/9/e30094 |
| _version_ | 1797734803056885760 |
|---|---|
| author | Jordi Godia Marc Pifarré Jordi Vilaplana Francesc Solsona Francesc Abella Antoni Calvo Anna Mitjans Maria Pau Gonzalez-Olmedo |
| author_facet | Jordi Godia Marc Pifarré Jordi Vilaplana Francesc Solsona Francesc Abella Antoni Calvo Anna Mitjans Maria Pau Gonzalez-Olmedo |
| author_sort | Jordi Godia |
| collection | DOAJ |
| description |
BackgroundHealth 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.
ObjectiveThis study aims to develop a useful app providing burnout self-diagnosis and tracking of burnout through a simple, intuitive, and user-friendly interface.
MethodsWe 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.
ResultsThe 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.
ConclusionsThe BurnOut app is very useful for health specialists or users, in general, to detect burnout early and track its evolution. |
| first_indexed | 2024-03-12T12:48:44Z |
| format | Article |
| id | doaj.art-9c8742e8008049eb84eb20feb2d68238 |
| institution | Directory Open Access Journal |
| issn | 2291-9694 |
| language | English |
| last_indexed | 2024-03-12T12:48:44Z |
| publishDate | 2022-09-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Medical Informatics |
| spelling | doaj.art-9c8742e8008049eb84eb20feb2d682382023-08-28T23:01:25ZengJMIR PublicationsJMIR Medical Informatics2291-96942022-09-01109e3009410.2196/30094A Free App for Diagnosing Burnout (BurnOut App): Development StudyJordi Godiahttps://orcid.org/0000-0003-4077-146XMarc Pifarréhttps://orcid.org/0000-0002-0079-3675Jordi Vilaplanahttps://orcid.org/0000-0002-8188-4914Francesc Solsonahttps://orcid.org/0000-0002-4830-9184Francesc Abellahttps://orcid.org/0000-0002-8393-0144Antoni Calvohttps://orcid.org/0000-0002-4571-2744Anna Mitjanshttps://orcid.org/0000-0002-8885-5833Maria Pau Gonzalez-Olmedohttps://orcid.org/0000-0001-6820-1915 BackgroundHealth 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. ObjectiveThis study aims to develop a useful app providing burnout self-diagnosis and tracking of burnout through a simple, intuitive, and user-friendly interface. MethodsWe 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. ResultsThe 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. ConclusionsThe BurnOut app is very useful for health specialists or users, in general, to detect burnout early and track its evolution.https://medinform.jmir.org/2022/9/e30094 |
| spellingShingle | Jordi Godia Marc Pifarré Jordi Vilaplana Francesc Solsona Francesc Abella Antoni Calvo Anna Mitjans Maria Pau Gonzalez-Olmedo A Free App for Diagnosing Burnout (BurnOut App): Development Study JMIR Medical Informatics |
| 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 |
| url | https://medinform.jmir.org/2022/9/e30094 |
| work_keys_str_mv | AT jordigodia afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT marcpifarre afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT jordivilaplana afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT francescsolsona afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT francescabella afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT antonicalvo afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT annamitjans afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT mariapaugonzalezolmedo afreeappfordiagnosingburnoutburnoutappdevelopmentstudy AT jordigodia freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT marcpifarre freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT jordivilaplana freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT francescsolsona freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT francescabella freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT antonicalvo freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT annamitjans freeappfordiagnosingburnoutburnoutappdevelopmentstudy AT mariapaugonzalezolmedo freeappfordiagnosingburnoutburnoutappdevelopmentstudy |