Evidence map›Paper›PMID 38728340›Full record

ArticlePloS one2024

Long-term health conditions and UK labour market outcomes during the COVID-19 pandemic.

Edward J D Webb, Philip G Conaghan, Max Henderson, Claire Hulme, Sarah R Kingsbury, Theresa Munyombwe, Robert West, Adam Martin

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Edward J D WebbLeeds Institute of Health Sciences, Academic Unit of Health Economics, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-7918-839X
Philip G ConaghanLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.
Max HendersonLeeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
Claire HulmeDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom.
Sarah R KingsburyNational Institute for Health Research (NIHR) Leeds Biomedical Research Centre, Leeds, United Kingdom.
Theresa MunyombweLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Robert WestLeeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
Adam MartinLeeds Institute of Health Sciences, Academic Unit of Health Economics, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-2559-6483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term health conditions can affect labour market outcomes. COVID-19 may have increased labour market inequalities, e.g. due to restricted opportunities for clinically vulnerable people. Evaluating COVID-19's impact could help target support.

aimTo quantify the effect of several long-term conditions on UK labour market outcomes during the COVID-19 pandemic and compare them to pre-pandemic outcomes.

methodsThe Understanding Society COVID-19 survey collected responses from around 20,000 UK residents in nine waves from April 2020-September 2021. Participants employed in January/February 2020 with a variety of long-term conditions were matched with people without the condition but with similar baseline characteristics. Models estimated probability of employment, hours worked and earnings. We compared these results with results from a two-year pre-pandemic period. We also modelled probability of furlough and home-working frequency during COVID-19.

resultsMost conditions (asthma, arthritis, emotional/nervous/psychiatric problems, vascular/pulmonary/liver conditions, epilepsy) were associated with reduced employment probability and/or hours worked during COVID-19, but not pre-pandemic. Furlough was more likely for people with pulmonary conditions. People with arthritis and cancer were slower to return to in-person working. Few effects were seen for earnings.

conclusionCOVID-19 had a disproportionate impact on people with long-term conditions' labour market outcomes.

Indexed as

COVID-19EmploymentAdolescentAdultAgedFemaleHumansIncomeMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesUnited KingdomYoung Adult

Identifiers

PMID38728340
PMCPMC11086911

What OpenQuestion 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 OpenQuestion graph.