Did the UK's public health shielding policy protect the clinically extremely vulnerable during the COVID-19 pandemic in Wales? Results of EVITE Immunity, a linked data retrospective study.


Journal

Public health
ISSN: 1476-5616
Titre abrégé: Public Health
Pays: Netherlands
ID NLM: 0376507

Informations de publication

Date de publication:
May 2023
Historique:
received: 08 08 2022
revised: 03 02 2023
accepted: 07 02 2023
medline: 25 4 2023
pubmed: 19 3 2023
entrez: 18 3 2023
Statut: ppublish

Résumé

The UK shielding policy intended to protect people at the highest risk of harm from COVID-19 infection. We aimed to describe intervention effects in Wales at 1 year. Retrospective comparison of linked demographic and clinical data for cohorts comprising people identified for shielding from 23 March to 21 May 2020; and the rest of the population. Health records were extracted with event dates between 23 March 2020 and 22 March 2021 for the comparator cohort and from the date of inclusion until 1 year later for the shielded cohort. The shielded cohort included 117,415 people, with 3,086,385 in the comparator cohort. The largest clinical categories in the shielded cohort were severe respiratory condition (35.5%), immunosuppressive therapy (25.9%) and cancer (18.6%). People in the shielded cohort were more likely to be female, aged ≥50 years, living in relatively deprived areas, care home residents and frail. The proportion of people tested for COVID-19 was higher in the shielded cohort (odds ratio [OR] 1.616; 95% confidence interval [CI] 1.597-1.637), with lower positivity rate incident rate ratios 0.716 (95% CI 0.697-0.736). The known infection rate was higher in the shielded cohort (5.9% vs 5.7%). People in the shielded cohort were more likely to die (OR 3.683; 95% CI: 3.583-3.786), have a critical care admission (OR 3.339; 95% CI: 3.111-3.583), hospital emergency admission (OR 2.883; 95% CI: 2.837-2.930), emergency department attendance (OR 1.893; 95% CI: 1.867-1.919) and common mental disorder (OR 1.762; 95% CI: 1.735-1.789). Deaths and healthcare utilisation were higher amongst shielded people than the general population, as would be expected in the sicker population. Differences in testing rates, deprivation and pre-existing health are potential confounders; however, lack of clear impact on infection rates raises questions about the success of shielding and indicates that further research is required to fully evaluate this national policy intervention.

Identifiants

pubmed: 36933354
pii: S0033-3506(23)00062-8
doi: 10.1016/j.puhe.2023.02.008
pmc: PMC9928733
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12-20

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Références

Perspect Clin Res. 2011 Jul;2(3):109-12
pubmed: 21897887
BMC Med Inform Decis Mak. 2009 Jan 16;9:3
pubmed: 19149883
Int J Environ Res Public Health. 2020 Aug 17;17(16):
pubmed: 32824596
BMJ Open. 2020 Oct 21;10(10):e043010
pubmed: 33087383
BMC Med Inform Decis Mak. 2016 Mar 15;16:35
pubmed: 26979325
BMJ. 2020 Oct 20;371:m3731
pubmed: 33082154
Int J Popul Data Sci. 2020 Sep 30;5(3):1363
pubmed: 33644413
Eur Respir J. 2020 May 14;55(5):
pubmed: 32217650
Front Immunol. 2021 Oct 06;12:744696
pubmed: 34691049
J Gerontol A Biol Sci Med Sci. 2020 Oct 15;75(11):2224-2230
pubmed: 32687551
J Infect. 2021 Aug;83(2):228-236
pubmed: 34004222
BMC Health Serv Res. 2009 Sep 04;9:157
pubmed: 19732426
Thorax. 2021 Dec;76(12):1246-1249
pubmed: 34301738
Age Ageing. 2019 Nov 1;48(6):922-926
pubmed: 31566668
Int J Technol Assess Health Care. 2011 Oct;27(4):391-9
pubmed: 22004782
BMC Public Health. 2021 Oct 7;21(1):1801
pubmed: 34620136
Sci Rep. 2021 Jul 27;11(1):15278
pubmed: 34315958
J R Soc Med. 2022 Jan;115(1):22-30
pubmed: 34672832
J Clin Epidemiol. 2008 Apr;61(4):344-9
pubmed: 18313558
Lancet. 2021 Nov 6;398(10312):1700-1712
pubmed: 34634250
BMC Med. 2021 Jun 23;19(1):149
pubmed: 34158021
Age Ageing. 2016 May;45(3):353-60
pubmed: 26944937

Auteurs

H Snooks (H)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: h.a.snooks@swansea.ac.uk.

A Watkins (A)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: a.watkins@swansea.ac.uk.

J Lyons (J)

Population Data Science, Swansea University, Medical School, Data Science Building, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: j.lyons@swansea.ac.uk.

A Akbari (A)

Population Data Science, Swansea University, Medical School, Data Science Building, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: a.akbari@swansea.ac.uk.

R Bailey (R)

Population Data Science, Swansea University, Medical School, Data Science Building, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: r.bailey@swansea.ac.uk.

L Bethell (L)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: lesleybethell@gmail.com.

A Carson-Stevens (A)

Cardiff University, Division of Population Medicine, Neuadd Meirionnydd, University Hospital of Wales, Heath Park, Cardiff, CF14 4YS, UK. Electronic address: carson-stevensap@cardiff.ac.uk.

A Edwards (A)

Cardiff University, Division of Population Medicine, Neuadd Meirionnydd, University Hospital of Wales, Heath Park, Cardiff, CF14 4YS, UK. Electronic address: edwardsag@cardiff.ac.uk.

H Emery (H)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: Helena.emery@swansea.ac.uk.

B A Evans (BA)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: b.a.evans@swansea.ac.uk.

S Jolles (S)

Immunodeficiency Centre for Wales, University Hospital of Wales, Heath Park, Cardiff, CF14 4XW, UK. Electronic address: jollessr@cardiff.ac.uk.

A John (A)

Population Data Science, Swansea University, Medical School, Data Science Building, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: a.john@swansea.ac.uk.

M Kingston (M)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: m.r.kingston@swansea.ac.uk.

A Porter (A)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: A.M.Porter@swansea.ac.uk.

B Sewell (B)

Swansea University, School of Health and Social Care, Vivian Tower, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: b.diethart@swansea.ac.uk.

V Williams (V)

Swansea University, Medical School, ILS 2, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: v.a.williams@swansea.ac.uk.

R A Lyons (RA)

Population Data Science, Swansea University, Medical School, Data Science Building, Singleton Park, Swansea, SA2 8PP, UK. Electronic address: r.a.lyons@swansea.ac.uk.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH