Evidence map›Paper›PMID 42361197›Full record

ArticlePloS one2026

Mental health of healthcare workers in England during the first three years of the COVID-19 pandemic: The NHS CHECK study cohort.

Danielle Lamb, Hannah Scott, Ewan Carr, Sharon A M Stevelink, Rosalind Raine, Matthew Hotopf, Neil Greenberg, Pamela Almeida-Meza, Christopher Penfold, Sarah Ledden and 9 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

19 authors.

Danielle LambUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1526-9793
Hannah ScottKing's College London, London, United Kingdom.
Ewan CarrKing's College London, London, United Kingdom.
Sharon A M StevelinkKing's College London, London, United Kingdom.
Rosalind RaineUniversity College London, London, United Kingdom.
Matthew HotopfKing's College London, London, United Kingdom.
Neil GreenbergKing's College London, London, United Kingdom.
Pamela Almeida-MezaKing's College London, London, United Kingdom.
Christopher PenfoldUniversity of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-8654-353X
Sarah LeddenKing's College London, London, United Kingdom.
Sarah DorringtonKing's College London, London, United Kingdom.
Siobhan HegartyKing's College London, London, United Kingdom.
Ira MadanKing's College London, London, United Kingdom.
Paul MoranUniversity of Bristol, Bristol, United Kingdom.
Richard MorrissUniversity of Nottingham, Nottingham, United Kingdom.
Dominic MurphyKing's College London, London, United Kingdom.
Anne Marie RaffertyKing's College London, London, United Kingdom.
Scott WeichUniversity of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-7552-7697
Simon WesselyKing's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaintaining healthcare workers' (HCWs) mental health is vital to reduce staff absences and turnover, ultimately improving patient care. Most research focuses on clinical staff and single timepoints, overlooking non-clinical contributions.

aimsTo examine mental health variations among all staff types over three years and identify those most at risk of poor mental health outcomes.

methodsOur prospective cohort study followed 22,092 HCWs from 17 English NHS Trusts. Online surveys assessed common mental disorders (CMDs), depression, anxiety, alcohol misuse, PTSD, moral injury, burnout, wellbeing, resilience, and post-traumatic growth at four timepoints from April 2020 to March 2023. Data were analysed cross-sectionally and weighted to represent Trust demographics.

resultsApproximately 50% of participants reported probable CMDs at all timepoints. The most consistent predictor of poor mental health was having met the baseline cut-off for that outcome. No consistent differences emerged between clinical and non-clinical staff. Younger, female, lower-paid staff, those feeling unsupported by colleagues/managers, and exposed to morally injurious events were most at risk of poor mental health outcomes.

conclusionsAll NHS staff types face persistent mental health struggles, with no significant improvement post-pandemic restrictions. Structural inequalities must be addressed long-term, alongside targeted, flexible support for staff in the short term.

Indexed as

COVID-19Health PersonnelMental DisordersMental HealthAdultCross-Sectional StudiesEnglandFemaleFrontline WorkersHumansMaleMiddle AgedPandemicsProspective StudiesSARS-CoV-2State Medicine

Identifiers

PMID42361197
PMCPMC13309052

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.