• John Ong, Wan Yen Lim, Kinjal Doshi, Man Zhou, Ban Leong Sng, Li Hoon Tan, and Sharon Ong.
• Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.
• J Clin Med. 2021 Oct 21; 10 (21).

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.

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