Inequalities in access to paid sick leave among workers in England and Wales.


Journal

The International journal of health planning and management
ISSN: 1099-1751
Titre abrégé: Int J Health Plann Manage
Pays: England
ID NLM: 8605825

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 13 07 2023
accepted: 20 07 2023
medline: 13 11 2023
pubmed: 7 8 2023
entrez: 7 8 2023
Statut: ppublish

Résumé

It is poorly understood which workers lack access to sick pay in England and Wales. This evidence gap has been of particular interest in the context of the Covid-19 pandemic given the relationship between presenteeism and infectious disease transmission. This cross-sectional analysis (n = 8874) was nested within a large community cohort study based across England and Wales (Virus Watch). An online survey in February 2021 asked participants in work if they had access to paid sick leave. We used logistic regression to examine sociodemographic factors associated with lacking access to sick pay. Only 66% (n = 5864) of participants reported access to sick pay. South Asian workers (adjusted odds ratio [OR] 1.40, 95% confidence interval [CI] 1.06-1.83) and those from Other minority ethnic backgrounds (OR 2.93, 95% CI 1.54-5.59) were more likely to lack access to sick pay compared to White British workers. Older workers (OR range 1.72 [1.53-1.93]-5.26 [4.42-6.26]), workers in low-income households (OR 2.53, 95% CI 2.15-2.98) and those in transport, trade, and service occupations (OR range 2.03 [1.58-2.61]-5.29 [3.67-7.72]) were also more likely to lack access to sick pay compared respectively to workers aged 25-44, those in high income households and managerial occupations. Unwarranted age and ethnic inequalities in sick pay access are suggestive of labour market discrimination. Occupational differences are also cause for concern. Policymakers should consider expanding access to sick pay to mitigate transmission of Covid-19 and other endemic respiratory infections in the community, and in the context of pandemic preparation.

Sections du résumé

BACKGROUND BACKGROUND
It is poorly understood which workers lack access to sick pay in England and Wales. This evidence gap has been of particular interest in the context of the Covid-19 pandemic given the relationship between presenteeism and infectious disease transmission.
METHOD METHODS
This cross-sectional analysis (n = 8874) was nested within a large community cohort study based across England and Wales (Virus Watch). An online survey in February 2021 asked participants in work if they had access to paid sick leave. We used logistic regression to examine sociodemographic factors associated with lacking access to sick pay.
RESULTS RESULTS
Only 66% (n = 5864) of participants reported access to sick pay. South Asian workers (adjusted odds ratio [OR] 1.40, 95% confidence interval [CI] 1.06-1.83) and those from Other minority ethnic backgrounds (OR 2.93, 95% CI 1.54-5.59) were more likely to lack access to sick pay compared to White British workers. Older workers (OR range 1.72 [1.53-1.93]-5.26 [4.42-6.26]), workers in low-income households (OR 2.53, 95% CI 2.15-2.98) and those in transport, trade, and service occupations (OR range 2.03 [1.58-2.61]-5.29 [3.67-7.72]) were also more likely to lack access to sick pay compared respectively to workers aged 25-44, those in high income households and managerial occupations.
DISCUSSION CONCLUSIONS
Unwarranted age and ethnic inequalities in sick pay access are suggestive of labour market discrimination. Occupational differences are also cause for concern. Policymakers should consider expanding access to sick pay to mitigate transmission of Covid-19 and other endemic respiratory infections in the community, and in the context of pandemic preparation.

Identifiants

pubmed: 37549127
doi: 10.1002/hpm.3697
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1864-1876

Subventions

Organisme : Wellcome Trust
ID : 206602
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V028375/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206602
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC 19070
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V028375/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N013867/1
Pays : United Kingdom

Informations de copyright

© 2023 The Authors. The International Journal of Health Planning and Management published by John Wiley & Sons Ltd.

Références

BMJ Open. 2021 Jun 23;11(6):e048042
pubmed: 34162651
Health Aff (Millwood). 2021 Sep;40(9):1501-1509
pubmed: 34310189
Int J Health Plann Manage. 2023 Nov;38(6):1864-1876
pubmed: 37549127
Lancet Healthy Longev. 2021 Mar;2(3):e129-e142
pubmed: 33655236
Biosecur Bioterror. 2004;2(4):265-72
pubmed: 15650436

Auteurs

Parth Patel (P)

Institute of Health Informatics, University College London, London, UK.

Sarah Beale (S)

Institute of Health Informatics, University College London, London, UK.
Institute of Epidemiology and Health Care, University College London, London, UK.

Vincent Nguyen (V)

Institute of Health Informatics, University College London, London, UK.

Isobel Braithwaite (I)

Institute of Health Informatics, University College London, London, UK.

Thomas E Byrne (TE)

Institute of Health Informatics, University College London, London, UK.

Wing Lam Erica Fong (WL)

Institute of Health Informatics, University College London, London, UK.

Ellen Fragaszy (E)

Institute of Health Informatics, University College London, London, UK.
Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Cyril Geismar (C)

Institute of Health Informatics, University College London, London, UK.

Susan Hoskins (S)

Institute of Epidemiology and Health Care, University College London, London, UK.

Annalan M D Navaratnam (AMD)

Institute of Health Informatics, University College London, London, UK.

Madhumita Shrotri (M)

Institute of Health Informatics, University College London, London, UK.

Jana Kovar (J)

Institute of Epidemiology and Health Care, University College London, London, UK.

Anna Aryee (A)

Institute of Health Informatics, University College London, London, UK.

Andrew C Hayward (AC)

Institute of Epidemiology and Health Care, University College London, London, UK.

Robert W Aldridge (RW)

Institute of Health Informatics, University College London, London, UK.

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Classifications MeSH