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dc.creatorCildoz Esquíroz, Martaes_ES
dc.creatorIbarra, Amaiaes_ES
dc.creatorMallor Giménez, Fermínes_ES
dc.date.accessioned2020-07-02T06:50:32Z
dc.date.available2020-07-02T06:50:32Z
dc.date.issued2020
dc.identifier.issn0038-0121
dc.identifier.urihttps://hdl.handle.net/2454/37275
dc.description.abstractThis paper provides a method for the real-time monitoring of job stress in emergency department (ED) physicians. It is implemented in a Decision Support System (DSS) designed for patient-to-physician assignment after triage. Our concept of job stress includes not only the workload but also time pressure and uncertainty. A job stress function is estimated based on the consensus views of ED physicians obtained through a novel methodology involving stress factor analysis, questionnaire design, and the statistical analysis of expert opinions. The resulting stress score enables the assessment of job stress using workload data from the ED physicians’ whiteboard. These data can be used for the real-time measurement and monitoring of ED physician job stress in a stochastic and dynamic environment, which is the main novelty of this method as compared to previous workload and stress measurement proposals. A further advantage of this methodology is that it is general enough to be adapted to physician job stress monitoring in any ED. The use of the DSS for ED patient-flow management reduces job stress and spreads it more evenly among the whole team of physicians, while also improving other important ED performance measures such as arrival-to-provider time and the percentage of compliance with patient waiting time targets. A case study illustrates the application of the methodology for the construction of a stress-score, the monitoring of physician stress levels, and ED patient-flow management.en
dc.description.sponsorshipThis research is supported by the Grant MTM2016-77015-R (AEI, FEDER).en
dc.format.extent12 p.
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofSocio-Economic Planning Sciences, 2020, 71, 100828en
dc.rights© 2020 The Authors. This is an open access article under the CC BY-NC-ND license.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectJob stress monitoringen
dc.subjectEmergency departmenten
dc.subjectWorkloaden
dc.subjectEliciting expert opinionen
dc.subjectPatient flow managementen
dc.subjectDecision support systemen
dc.titleCoping with stress in emergency department physicians through improved patient-flow managementen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1016/j.seps.2020.100828
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/MTM2016-77015-Ren
dc.relation.publisherversionhttps://doi.org/10.1016/j.seps.2020.100828
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2020 The Authors. This is an open access article under the CC BY-NC-ND license.
La licencia del ítem se describe como © 2020 The Authors. This is an open access article under the CC BY-NC-ND license.

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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