Evidence map›Paper›PMID 33591604›Full record

ArticleJournal of medical imaging and radiation oncology2021

A survey of anxiety and burnout in the radiology workforce of a tertiary hospital during the COVID-19 pandemic.

Hian Liang Huang, Robert Chun Chen, Irene Teo, Isha Chaudhry, Ai Ling Heng, Kun Da Zhuang, Hiang Khoon Tan, Bien Soo Tan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical imaging and radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
8.7field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Anxiety Linked to COVID-19: A Systematic Review Comparing Anxiety Rates in Different Populations.International journal of environmental research and public health · 2022
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  7. Exploring Radiologists' Burnout in the COVID-19 Era: A Narrative Review.International journal of environmental research and public health · 2023
    Review
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  14. Burnout syndrome in healthcare workers during the COVID-19 pandemic: a systematic review.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Review
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

8 authors at 3 institutions in 1 country.

Hian Liang HuangDepartment of Nuclear Medicine and Molecular Imaging, Division of Radiological Sciences, Singapore General Hospital, Singapore.ORCID https://orcid.org/0000-0001-5837-9162
Robert Chun ChenDepartment of Diagnostic Radiology, Division of Radiological Sciences, Singapore General Hospital, Singapore.
Irene TeoProgramme for Health Services & Systems Research, Duke-NUS Medical School, Singapore.
Isha ChaudhryLien Centre for Palliative Care, Duke-NUS Medical School, Singapore.
Ai Ling HengDepartment of Radiography, Division of Radiological Sciences, Singapore General Hospital, Singapore.
Kun Da ZhuangDepartment of Vascular and Interventional Radiology, Division of Radiological Sciences, Singapore General Hospital, Singapore.
Hiang Khoon TanDivision of Surgery & Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore.
Bien Soo TanDepartment of Vascular and Interventional Radiology, Division of Radiological Sciences, Singapore General Hospital, Singapore.
Singapore General Hospital · SGDuke-NUS Medical School · SGSingHealth · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to study anxiety and burnout among Division of Radiological Sciences (RADSC) staff during the COVID-19 pandemic and identify potential risk and protective factors. These outcomes were compared with non-RADSC staff.

methodsA cross-sectional online study was conducted between 12 March and 20 July 2020 in the largest public tertiary hospital receiving COVID-19 cases. Burnout and anxiety were assessed with the Physician Work-Life Scale and the Generalized Anxiety Disorder-7 Scale, respectively. Workplace factors were examined as potential risk and protective factors using multivariable ordinary least squares regression analyses, adjusting for pertinent demographic characteristics.

resultsRADSC staff (n = 180) and non-RADSC staff (n = 1458) demonstrated moderate-to-severe anxiety rates of 6.7 and 13.2 % and burnout rates of 17.8 and 23.9 %, respectively. RADSC staff reported significantly lower anxiety (mean ± SD: 4.0 ± 3.7 vs 4.9 ± 4.5; P-value < 0.05), burnout (mean ± SD: 1.9 ± 0.7 vs 2.1 ± 0.8; P-value < 0.01), increased teamwork (82.2% vs 74.1%; P-value < 0.05) and fewer night shifts (36.7% vs 41.1%; P-value < 0.01). Among RADSC staff, higher job dedication was associated with lower anxiety (b (95% CI) = -0.28 (-0.45, -0.11)) and burnout (b (95% CI) = -0.07 (-0.11,-0.04)), while longer than usual working hours was associated with increased anxiety (b (95% CI) = 1.42 (0.36, 2.45)) and burnout (b (95% CI) = 0.28 (0.09, 0.48)).

conclusionsA proportion of RADSC staff reported significant burnout and anxiety, although less compared to the larger hospital cohort. Measures to prevent longer than usual work hours and increase feelings of enthusiasm and pride in one's job may further reduce the prevalence of anxiety problems and burnout in radiology departments.

Indexed as

PandemicsRadiology Department, HospitalAdultAnxiety DisordersBurnout, ProfessionalCOVID-19Cross-Sectional StudiesFemaleHealth WorkforceHumansMaleSARS-CoV-2SingaporeanxietyburnoutCOVID-19nuclear medicineradiology

Identifiers

PMID33591604
PMCPMC8013876
OpenAlexW3132789925

What OpenQuestion holds

Textmetadata
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.