Evidence map›Paper›PMID 41029414›Full record

ArticleBMC health services research2025

COVID-19-related sickness absence among 4,721 NHS staff in England and its relation with long COVID symptoms: findings from NHS CHECK.

B Dempsey, H A Blake, I Madan, S A M Stevelink, N Greenberg, R Raine, A M Rafferty, R Bhundia, S Wessely, Danielle Lamb

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

B DempseyDepartment of Primary Care and Population Health, University College London, London, UK.ORCID http://orcid.org/0000-0002-7659-7398
H A BlakeDepartment of Primary Care and Population Health, University College London, London, UK.ORCID http://orcid.org/0000-0001-7856-5931
I MadanGuy's and St Thomas NHS Foundation Trust, London, UK.ORCID http://orcid.org/0000-0003-2200-7329
S A M StevelinkDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0002-7655-7986
N GreenbergDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0003-4550-2971
R RaineDepartment of Primary Care and Population Health, University College London, London, UK.ORCID http://orcid.org/0000-0003-0904-749X
A M RaffertyFlorence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.
R BhundiaDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
S WesselyDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0002-6743-9929
Danielle LambDepartment of Primary Care and Population Health, University College London, London, UK. d.lamb@ucl.ac.uk.ORCID http://orcid.org/0000-0003-1526-9793

Funding

Colt Foundation CF/01/22Economic and Social Research Council ES/V009931/1Medical Research Council MR/V034405/1Rosetrees Trust M952UCL/Wellcome ISSF3/ H17RCO/C3
6 · The paper itself

Abstract

backgroundLong COVID (LC) occurs when COVID-19 symptoms continue for 12 + weeks after the onset of infection. LC may have several impacts, including sickness absence. This study explored number of days off work due to COVID-19 infection among healthcare workers (HCWs) and predictors of long-term sickness absence (i.e., 4 + consecutive weeks off work).

methodsData were from the NHS CHECK survey and included 4,721 HCWs (19.6% of the cohort) who reported COVID-19-related symptoms and sickness absence at two follow-up periods, approximately 12 and 32 months post-baseline (baseline collected between April 2020 and January 2021). We conducted descriptive analysis to explore COVID-19-related sickness absence at both timepoints and to examine differences depending on whether HCWs self-reported symptoms consistent with LC or an LC diagnosis. We used multi-level logistic regression modelling to explore baseline predictors for reporting long-term sickness absence at follow-up among HCWs who reported LC symptoms.

resultsAt 12 months, 89.5% of HCWs attributed sickness absence to a COVID-19 infection, while 84.6% reported the same at 32 months. Median self-reported days off work at both timepoints were higher among HCWs who self-reported LC symptoms (12mo = 14 days (IQR = 10–30), 32mo = 7 days (IQR = 4–14)) compared with HCWs who did not (12mo = 9.5 days (IQR = 3.5–14), 32mo = 5 days (IQR = 2–7)). A similar finding was observed for HCWs who reported a formal diagnosis of LC compared with those who did not. There was a noticeable reduction in COVID-19-related sickness absence between our 12 and 32 month follow-up surveys across all groups. Among HCWs who self-reported LC symptoms, predictors for reporting long-term sickness absence at both timepoints included having a pre-existing respiratory illness and being aged 41–50 years.

conclusionsWe found that reporting LC symptoms or having an LC diagnosis were associated with greater sickness absence among HCWs. The cause of the reduction in reported sickness absence between the timepoints is unclear, though it is most likely due to natural recovery from COVID-19, greater support available to staff with LC or the withdrawal of a special COVID-19 sickness absence payment in 2022. The need to support workers with LC to return and remain in work is still present.

Indexed as

COVID-19Health PersonnelSick LeaveAdultEnglandFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2State MedicineSurveys and QuestionnairesCOVID-19Healthcare workersHealth providersLong COVIDSickness absence

Identifiers

PMID41029414
PMCPMC12482608

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.