An Evaluation of the Performance of Five Burnout Screening Tools: A Multicentre Study in Anaesthesiology, Intensive Care, and Ancillary Staff.
Sng, Ban Leong
Tan, Li Hoon
J Clin Med
MetadataShow full item record
Ong, J., Lim, W. Y., Doshi, K., Zhou, M., Sng, B. L., Tan, L. H., & Ong, S. (2021). An Evaluation of the Performance of Five Burnout Screening Tools: A Multicentre Study in Anaesthesiology, Intensive Care, and Ancillary Staff.. J Clin Med, 10 (21) https://doi.org/10.3390/jcm10214836
Burnout 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.
burn out, burnout, diagnosis, screening, stress
Singhealth Duke-NUS Academic Medical Centre and a Singapore General Hospital Division of Anaesthesiology and Perioperative Medicine Budding Research Grant (ANAESBRG/2020/002)
External DOI: https://doi.org/10.3390/jcm10214836
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329802
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: email@example.com