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dc.contributor.authorGòdia Manonelles, Jordi
dc.contributor.authorPifarré Montalà, Marc
dc.contributor.authorVilaplana Mayoral, Jordi
dc.contributor.authorSolsona Tehàs, Francesc
dc.contributor.authorAbella i Pons, Francesc
dc.contributor.authorCalvo, Antoni
dc.contributor.authorMitjans, Anna
dc.contributor.authorGonzalez Olmedo, Maria Pau
dc.date.accessioned2022-11-20T18:02:31Z
dc.date.available2022-11-20T18:02:31Z
dc.date.issued2022
dc.identifier.issn2291-9694
dc.identifier.urihttp://hdl.handle.net/10459.1/84276
dc.description.abstractBackground: 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.sponsorshipThis work was supported by project PID2020-113614RB-C22, funded by MCIN/AEI/10.13039/501100011033. JV is a Serra Húnter fellowca_ES
dc.language.isoengca_ES
dc.publisherJMIR Publicationsca_ES
dc.relationinfo: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.isformatofReproducció del document publicat a https://doi.org/10.2196/30094ca_ES
dc.relation.ispartofJMIR Medical Informatics, 2022, vol. 10, núm. 9, e30094ca_ES
dc.rightscc-by (c) Jordi Godia et. al., 2022ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDiagnose burnoutca_ES
dc.subjectAndroid appca_ES
dc.subjectMedical informaticsca_ES
dc.subjectHealth careca_ES
dc.subjectMobile healthca_ES
dc.subjectDigital healthca_ES
dc.titleA Free App for Diagnosing Burnout (BurnOut App): Development Studyca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.identifier.idgrec032637
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.2196/30094


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cc-by (c) Jordi Godia et. al., 2022
Except where otherwise noted, this item's license is described as cc-by (c) Jordi Godia et. al., 2022