» Articles » PMID: 34004222

The Impact of Primary Care Supported Shielding on the Risk of Mortality in People Vulnerable to COVID-19: English Sentinel Network Matched Cohort Study

Abstract

Objectives: To mitigate risk of mortality from coronavirus 2019 infection (COVID-19), the UK government recommended 'shielding' of vulnerable people through self-isolation for 12 weeks.

Methods: A retrospective cohort study using a nationally representative English primary care database comparing people aged >= 40 years who were recorded as being advised to shield using a fixed ratio of 1:1, matching to people with the same diagnoses not advised to shield (n = 77,360 per group). Time-to-death was compared using Cox regression, reporting the hazard ratio (HR) of mortality between groups. A sensitivity analysis compared exact matched cohorts (n = 24,752 shielded, n = 61,566 exact matches).

Results: We found a time-varying HR of mortality between groups. In the first 21 days, the mortality risk in people shielding was half those not (HR = 0.50, 95%CI:0.41-0.59. p < 0.0001). Over the remaining nine weeks, mortality risk was 54% higher in the shielded group (HR=1.54, 95%CI:1.41-1.70, p < 0.0001). Beyond the shielding period, mortality risk was over two-and-a-half times higher in the shielded group (HR=2.61, 95%CI:2.38-2.87, p < 0.0001).

Conclusions: Shielding halved the risk of mortality for 21 days. Mortality risk became higher across the remainder of the shielding period, rising to two-and-a-half times greater post-shielding. Shielding may be beneficial in the next wave of COVID-19.

Citing Articles

Postpandemic Sentinel Surveillance of Respiratory Diseases in the Context of the World Health Organization Mosaic Framework: Protocol for a Development and Evaluation Study Involving the English Primary Care Network 2023-2024.

Gu X, Watson C, Agrawal U, Whitaker H, Elson W, Anand S JMIR Public Health Surveill. 2024; 10:e52047.

PMID: 38569175 PMC: 11024753. DOI: 10.2196/52047.


The cost of implementing the COVID-19 shielding policy in Wales.

Sewell B, Farr A, Akbari A, Carson-Stevens A, Dale J, Edwards A BMC Public Health. 2023; 23(1):2342.

PMID: 38008730 PMC: 10680245. DOI: 10.1186/s12889-023-17169-3.


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.

Snooks H, Watkins A, Lyons J, Akbari A, Bailey R, Bethell L Public Health. 2023; 218:12-20.

PMID: 36933354 PMC: 9928733. DOI: 10.1016/j.puhe.2023.02.008.


Risk of severe COVID-19 infection in persons with diabetes during the first and second waves in Denmark: A nationwide cohort study.

Stidsen J, Green A, Rosengaard L, Hojlund K Front Endocrinol (Lausanne). 2022; 13:1025699.

PMID: 36303877 PMC: 9592709. DOI: 10.3389/fendo.2022.1025699.


Sociodemographic disparities in COVID-19 seroprevalence across England in the Oxford RCGP primary care sentinel network.

Whitaker H, Tsang R, Button E, Andrews N, Byford R, Borrow R J Infect. 2022; 84(6):814-824.

PMID: 35405169 PMC: 8993757. DOI: 10.1016/j.jinf.2022.04.016.


References
1.
Joy M, Hobbs F, McGagh D, Akinyemi O, de Lusignan S . Excess mortality from COVID-19 in an English sentinel network population. Lancet Infect Dis. 2020; 21(4):e74. PMC: 7402647. DOI: 10.1016/S1473-3099(20)30632-0. View

2.
Coronini-Cronberg S, Maile E, Majeed A . Health inequalities: the hidden cost of COVID-19 in NHS hospital trusts?. J R Soc Med. 2020; 113(5):179-184. PMC: 7366335. DOI: 10.1177/0141076820925230. View

3.
Michelozzi P, deDonato F, Scortichini M, De Sario M, Noccioli F, Rossi P . Mortality impacts of the coronavirus disease (COVID-19) outbreak by sex and age: rapid mortality surveillance system, Italy, 1 February to 18 April 2020. Euro Surveill. 2020; 25(19). PMC: 7238743. DOI: 10.2807/1560-7917.ES.2020.25.19.2000620. View

4.
Wise J . Covid-19: Experts divide into two camps of action-shielding versus blanket policies. BMJ. 2020; 370:m3702. DOI: 10.1136/bmj.m3702. View

5.
Hoertel N, Blachier M, Blanco C, Olfson M, Massetti M, Sanchez Rico M . A stochastic agent-based model of the SARS-CoV-2 epidemic in France. Nat Med. 2020; 26(9):1417-1421. DOI: 10.1038/s41591-020-1001-6. View