Evidence map›Paper›PMID 35219506›Full record

ArticleJournal of the American Medical Directors Association2022

The Effect of COVID-19 Endemicity on the Mental Health of Health Workers.

Kanneganti Abhiram, Benjamin Y Q Tan, Melanie Tan, Lifeng Tan, Ching-Hui Sia, Ying Xian Chua, Lucas J H Lim, Cavert Maleena Suppiah, Kang Sim, Yiong Huak Chan and 1 more

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2022. 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
–field-weighted citation impact
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.

  1. Pooled it
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  4. Teamwork and burnout among healthcare workers from a public hospital in ColombiaBiomedica : revista del Instituto Nacional de Salud · 2025
    Observational
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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

11 authors.

Kanneganti AbhiramDepartment of Obstetrics and Gynaecology, National University Hospital, Singapore.
Benjamin Y Q TanYong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Neurology, Department of Medicine, National University Hospital, Singapore. Electronic address: benjamin_yq_tan@nuhs.edu.sg.
Melanie TanDepartment of Geriatric Medicine, Ng Teng Fong General Hospital, Singapore.
Lifeng TanDivision of Healthy Ageing, Alexandra Hospital, Singapore.
Ching-Hui SiaYong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Cardiology, National University Heart Centre, Singapore.
Ying Xian ChuaPioneer Polyclinic, National University Polyclinics, National University Health System, Singapore.
Lucas J H LimPsychiatry Residency Programme, National Healthcare Group, Singapore.
Cavert Maleena SuppiahNational University Health System, Singapore.
Kang SimYong Loo Lin School of Medicine, National University of Singapore, Singapore; West Region, Institute of Mental Health, Singapore.
Yiong Huak ChanBiostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Shirley B S OoiYong Loo Lin School of Medicine, National University of Singapore, Singapore; Emergency Medicine Department, National University Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA major surge in COVID-19 cases despite Singapore's high vaccination has strained the health care system in October 2021. Our aim was to assess and compare Healthcare Worker (HCW) mental well-being in 2021 against a previously published cohort in 2020.

designCross-sectional survey study. SETTING AND

participantsHCWs from 4 public hospitals and a primary health care system over a 4-week duration in 2021 coinciding with a major surge compared with a similar period in 2020.

methodsA survey comprising of the Oldenburg Burnout Inventory (OLBI), Hospital Anxiety and Depression Scale (HADS), and Safety Attitudes Questionnaire (SAQ) was distributed via email. Primary endpoints were the proportion meeting OLBI thresholds for both disengagement and exhaustion and being at risk for both Anxiety and Depression using HADS. Multivariate analysis identified significant predictors among demographic, workplace, and SAQ data. Subgroup analysis of overseas HCWs was performed.

resultsWe surveyed 1475 HCWs. Significantly more HCWs met primary outcomes using OLBI and HADS than in 2020 (84.1% and 39.6% vs 68.2% and 23.3%, respectively; P < .001). Burnout levels were uniformly high. A HADS score ≥8 in either subscale was significantly associated with meeting burnout thresholds (P < .001). Overseas HCWs (P = .002), South Asian ethnicity (P = .004), preuniversity educational qualifications (P = .026), and longer shift workhours of 8 to <12 (P = .015) and ≥12 (P = .001) were significantly associated with meeting HADS thresholds. Among overseas HCWs (n=407), seeing family more than a year ago was significantly associated with worse OLBI disengagement scores and a greater proportion meeting HADS thresholds vs seeing them within a year or being local HCWs (47.2% vs 37.2% and 35.6%, respectively; P = .001). CONCLUSIONS AND IMPLICATIONS: HCW mental health has objectively worsened between 2020 and 2021 in the pandemic's second year. Avoiding prolonged shifts, adopting preventive mental health strategies, improving patient safety, and attention to HCWs of minority ethnicity, from overseas, and with preuniversity education may help.

Indexed as

COVID-19Mental HealthAnxietyCross-Sectional StudiesDepressionHealth PersonnelHumansSARS-CoV-2anxietyBurnoutCOVID-19depressionhealth care workersmental well-being

Identifiers

PMID35219506
PMCPMC8863564

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.