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dc.contributor.authorOng Hui Chong, John
dc.contributor.authorLim, Wan Yen
dc.contributor.authorDoshi, Kinjal
dc.contributor.authorZhou, Man
dc.contributor.authorSng, Ban Leong
dc.contributor.authorTan, Li Hoon
dc.contributor.authorOng, Sharon
dc.date.accessioned2021-10-23T01:27:26Z
dc.date.available2021-10-23T01:27:26Z
dc.date.issued2021-10-21
dc.identifier.issn2077-0383
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/329802
dc.description.abstractBurnout is an important occupational hazard and early detection is paramount in preventing negative sequelae in physicians, patients, and healthcare systems. Several screening tools have been developed to replace lengthy diagnostic tools for large-scale screening, however, comprehensive head-to-head evaluation for performance and accuracy are lacking. The primary objective of this study was to compare the diagnostic performance of five burnout screening tools, including a novel rapid burnout screening tool (RBST). This was a cross-sectional study involving 493 hospital staff (anaesthesiology and intensive care doctors, nurses, and ancillary staff) at the COVID-19 frontline across four hospitals in Singapore between December 2020 and April 2021. The Maslach Burnout Inventory-Human Services Survey (MBI-HSS) was used as the reference standard. Five burnout screening tools, the single-item MBI measure of burnout (SI-MBI), dual-item MBI (DI-MBI), abbreviated MBI (aMBI), Single Item Burnout Question (SIBOQ), and the RBST, were administered via a 36-item online survey. Tools were administered simultaneously and responses were anonymised. Burnout prevalence was 19.9%. The RBST and the SI-MBI had the two highest accuracies (87.8% and 81.9% respectively) and AUROC scores (0.86, 95% CI: 0.83-0.89 and 0.86, 95% CI: 0.82-0.89 respectively). However, the accuracy of the RBST was significantly higher than the SI-MBI (p < 0.0001), and it had the highest positive likelihood ratio (+LR = 7.59, 95% CI 5.65-10.21). Brief screening tools detect burnout albeit with a wide range of accuracy. This can strain support services and resources. The RBST is a free screening tool that can detect burnout with a high degree of accuracy.
dc.languageen
dc.publisherMDPI AG
dc.subjectburnout
dc.subjectburn out
dc.subjectstress
dc.subjectscreening
dc.subjectdiagnosis
dc.titleAn Evaluation of the Performance of Five Burnout Screening Tools: A Multicentre Study in Anaesthesiology, Intensive Care, and Ancillary Staff.
dc.typeArticle
dc.date.updated2021-10-23T01:27:25Z
prism.issueIdentifier21
prism.publicationNameJ Clin Med
prism.volume10
dc.identifier.doi10.17863/CAM.77247
dcterms.dateAccepted2021-10-18
rioxxterms.versionofrecord10.3390/jcm10214836
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidOng Hui Chong, John [0000-0001-5103-7311]
dc.contributor.orcidLim, Wan Yen [0000-0002-0335-0255]
dc.contributor.orcidOng, Sharon [0000-0001-9851-0401]
dc.identifier.eissn2077-0383
pubs.funder-project-idSinghealth Duke-NUS Academic Medical Centre and a Singapore General Hospital Division of Anaesthesiology and Perioperative Medicine Budding Research Grant (ANAESBRG/2020/002)
cam.issuedOnline2021-10-21


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