Evidence map›Paper›PMID 34768357›Full record

ArticleJournal of clinical medicine2021

An Evaluation of the Performance of Five Burnout Screening Tools: A Multicentre Study in Anaesthesiology, Intensive Care, and Ancillary Staff.

John Ong, Wan Yen Lim, Kinjal Doshi, Man Zhou, Ban Leong Sng, Li Hoon Tan, Sharon Ong

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Depicting occupational trauma concepts impacting nurse well-being during the COVID-19 pandemic.International journal of qualitative studies on health and well-being · 2024
    Review
  6. Identification of Surgeon Burnout via a Single-Item Measure.Occupational medicine (Oxford, England) · 2022
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

John OngDepartment of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.ORCID 0000-0001-5103-7311
Wan Yen LimDepartment of Anaesthesiology, Sengkang General Hospital, Singhealth Services, Singapore 544886, Singapore.ORCID 0000-0002-0335-0255
Kinjal DoshiDepartment of Psychology, Singapore General Hospital, Singhealth Services, Singapore 169608, Singapore.
Man ZhouGKT School of Medical Education, King's College, London WCR 2LS, UK.
Ban Leong SngDepartment of Women's Anaesthesia, KK Women's and Children's Hospital, Singhealth Services, Singapore 229899, Singapore.
Li Hoon TanDepartment of Anaesthesia and Surgical Intensive Care, Changi General Hospital, Singhealth Services, Singapore 529889, Singapore.
Sharon OngDepartment of Anaesthesiology, Sengkang General Hospital, Singhealth Services, Singapore 544886, Singapore.ORCID 0000-0001-9851-0401
SingHealth · SGChangi General Hospital · SGKing's College London · GBKK Women's and Children's Hospital · SGNational University of Singapore · SG

Funding

Singhealth Duke-NUS Academic Medical Centre and a Singapore General Hospital Division of Anaesthesiology and Perioperative Medicine Budding Research Grant ANAESBRG/2020/002
6 · The paper itself

Abstract

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 (

Indexed as

burn outburnoutdiagnosisscreeningstress

Identifiers

PMID34768357
PMCPMC8584380
OpenAlexW3205475289

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.