dc.contributor.author | Gòdia Manonelles, Jordi | |
dc.contributor.author | Pifarré Montalà, Marc | |
dc.contributor.author | Vilaplana Mayoral, Jordi | |
dc.contributor.author | Solsona Tehàs, Francesc | |
dc.contributor.author | Abella i Pons, Francesc | |
dc.contributor.author | Calvo, Antoni | |
dc.contributor.author | Mitjans, Anna | |
dc.contributor.author | Gonzalez Olmedo, Maria Pau | |
dc.date.accessioned | 2022-11-20T18:02:31Z | |
dc.date.available | 2022-11-20T18:02:31Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2291-9694 | |
dc.identifier.uri | http://hdl.handle.net/10459.1/84276 | |
dc.description.abstract | 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. | ca_ES |
dc.description.sponsorship | This work was supported by project PID2020-113614RB-C22, funded by MCIN/AEI/10.13039/501100011033. JV is a Serra Húnter fellow | ca_ES |
dc.language.iso | eng | ca_ES |
dc.publisher | JMIR Publications | ca_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113614RB-C22/ES/COMPUTACION AVANZADA PARA LOS RETOS DE LA SOCIEDAD DIGITAL/ | ca_ES |
dc.relation.isformatof | Reproducció del document publicat a https://doi.org/10.2196/30094 | ca_ES |
dc.relation.ispartof | JMIR Medical Informatics, 2022, vol. 10, núm. 9, e30094 | ca_ES |
dc.rights | cc-by (c) Jordi Godia et. al., 2022 | ca_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Diagnose burnout | ca_ES |
dc.subject | Android app | ca_ES |
dc.subject | Medical informatics | ca_ES |
dc.subject | Health care | ca_ES |
dc.subject | Mobile health | ca_ES |
dc.subject | Digital health | ca_ES |
dc.title | A Free App for Diagnosing Burnout (BurnOut App): Development Study | ca_ES |
dc.type | info:eu-repo/semantics/article | ca_ES |
dc.identifier.idgrec | 032637 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_ES |
dc.identifier.doi | https://doi.org/10.2196/30094 | |