Cargando…

Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people

BACKGROUND: Uncontrolled infection and lockdown measures introduced in response have resulted in an unprecedented challenge for health systems internationally. Whether such unprecedented impact was due to lockdown itself and recedes when such measures are lifted is unclear. We assessed the short- an...

Descripción completa

Detalles Bibliográficos
Autores principales: Shah, Syed Ahmar, Brophy, Sinead, Kennedy, John, Fisher, Louis, Walker, Alex, Mackenna, Brian, Curtis, Helen, Inglesby, Peter, Davy, Simon, Bacon, Seb, Goldacre, Ben, Agrawal, Utkarsh, Moore, Emily, Simpson, Colin R, Macleod, John, Cooksey, Roxane, Sheikh, Aziz, Katikireddi, Srinivasa Vittal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121886/
https://www.ncbi.nlm.nih.gov/pubmed/35611160
http://dx.doi.org/10.1016/j.eclinm.2022.101462
_version_ 1784711237735546880
author Shah, Syed Ahmar
Brophy, Sinead
Kennedy, John
Fisher, Louis
Walker, Alex
Mackenna, Brian
Curtis, Helen
Inglesby, Peter
Davy, Simon
Bacon, Seb
Goldacre, Ben
Agrawal, Utkarsh
Moore, Emily
Simpson, Colin R
Macleod, John
Cooksey, Roxane
Sheikh, Aziz
Katikireddi, Srinivasa Vittal
author_facet Shah, Syed Ahmar
Brophy, Sinead
Kennedy, John
Fisher, Louis
Walker, Alex
Mackenna, Brian
Curtis, Helen
Inglesby, Peter
Davy, Simon
Bacon, Seb
Goldacre, Ben
Agrawal, Utkarsh
Moore, Emily
Simpson, Colin R
Macleod, John
Cooksey, Roxane
Sheikh, Aziz
Katikireddi, Srinivasa Vittal
author_sort Shah, Syed Ahmar
collection PubMed
description BACKGROUND: Uncontrolled infection and lockdown measures introduced in response have resulted in an unprecedented challenge for health systems internationally. Whether such unprecedented impact was due to lockdown itself and recedes when such measures are lifted is unclear. We assessed the short- and medium-term impacts of the first lockdown measures on hospital care for tracer non-COVID-19 conditions in England, Scotland and Wales across diseases, sexes, and socioeconomic and ethnic groups. METHODS: We used OpenSAFELY (for England), EAVEII (Scotland), and SAIL Databank (Wales) to extract weekly hospital admission rates for cancer, cardiovascular and respiratory conditions (excluding COVID-19) from the pre-pandemic period until 25/10/2020 and conducted a controlled interrupted time series analysis. We undertook stratified analyses and assessed admission rates over seven months during which lockdown restrictions were gradually lifted. FINDINGS: Our combined dataset included 32 million people who contributed over 74 million person-years. Admission rates for all three conditions fell by 34.2% (Confidence Interval (CI): -43.0, -25.3) in England, 20.9% (CI: -27.8, -14.1) in Scotland, and 24.7% (CI: -36.7, -12.7) in Wales, with falls across every stratum considered. In all three nations, cancer-related admissions fell the most while respiratory-related admissions fell the least (e.g., rates fell by 40.5% (CI: -47.4, -33.6), 21.9% (CI: -35.4, -8.4), and 19.0% (CI: -30.6, -7.4) in England for cancer, cardiovascular-related, and respiratory-related admissions respectively). Unscheduled admissions rates fell more in the most than the least deprived quintile across all three nations. Some ethnic minority groups experienced greater falls in admissions (e.g., in England, unscheduled admissions fell by 9.5% (CI: -20.2, 1.2) for Whites, but 44.3% (CI: -71.0, -17.6), 34.6% (CI: -63.8, -5.3), and 25.6% (CI: -45.0, -6.3) for Mixed, Other and Black ethnic groups respectively). Despite easing of restrictions, the overall admission rates remained lower in England, Scotland, and Wales by 20.8%, 21.6%, and 22.0%, respectively when compared to the same period (August-September) during the pre-pandemic years. This corresponds to a reduction of 26.2, 23.8 and 30.2 admissions per 100,000 people in England, Scotland, and Wales respectively. INTERPRETATION: Hospital care for non-COVID diseases fell substantially across England, Scotland, and Wales during the first lockdown, with reductions persisting for at least six months. The most deprived and minority ethnic groups were impacted more severely. FUNDING: This work was funded by the Medical Research Council as part of the Lifelong Health and Wellbeing study as part of National Core Studies (MC_PC_20030). SVK acknowledges funding from the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). EAVE II is funded by the Medical Research Council (MR/R008345/1) with the support of BREATHE – The Health Data Research Hub for Respiratory Health (MC_PC_19004), which is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and delivered through Health Data Research UK. BG has received research funding from the NHS National Institute for Health Research (NIHR), the Wellcome Trust, Health Data Research UK, Asthma UK, the British Lung Foundation, and the Longitudinal Health and Wellbeing strand of the National Core Studies programme.
format Online
Article
Text
id pubmed-9121886
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-91218862022-05-20 Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people Shah, Syed Ahmar Brophy, Sinead Kennedy, John Fisher, Louis Walker, Alex Mackenna, Brian Curtis, Helen Inglesby, Peter Davy, Simon Bacon, Seb Goldacre, Ben Agrawal, Utkarsh Moore, Emily Simpson, Colin R Macleod, John Cooksey, Roxane Sheikh, Aziz Katikireddi, Srinivasa Vittal eClinicalMedicine Articles BACKGROUND: Uncontrolled infection and lockdown measures introduced in response have resulted in an unprecedented challenge for health systems internationally. Whether such unprecedented impact was due to lockdown itself and recedes when such measures are lifted is unclear. We assessed the short- and medium-term impacts of the first lockdown measures on hospital care for tracer non-COVID-19 conditions in England, Scotland and Wales across diseases, sexes, and socioeconomic and ethnic groups. METHODS: We used OpenSAFELY (for England), EAVEII (Scotland), and SAIL Databank (Wales) to extract weekly hospital admission rates for cancer, cardiovascular and respiratory conditions (excluding COVID-19) from the pre-pandemic period until 25/10/2020 and conducted a controlled interrupted time series analysis. We undertook stratified analyses and assessed admission rates over seven months during which lockdown restrictions were gradually lifted. FINDINGS: Our combined dataset included 32 million people who contributed over 74 million person-years. Admission rates for all three conditions fell by 34.2% (Confidence Interval (CI): -43.0, -25.3) in England, 20.9% (CI: -27.8, -14.1) in Scotland, and 24.7% (CI: -36.7, -12.7) in Wales, with falls across every stratum considered. In all three nations, cancer-related admissions fell the most while respiratory-related admissions fell the least (e.g., rates fell by 40.5% (CI: -47.4, -33.6), 21.9% (CI: -35.4, -8.4), and 19.0% (CI: -30.6, -7.4) in England for cancer, cardiovascular-related, and respiratory-related admissions respectively). Unscheduled admissions rates fell more in the most than the least deprived quintile across all three nations. Some ethnic minority groups experienced greater falls in admissions (e.g., in England, unscheduled admissions fell by 9.5% (CI: -20.2, 1.2) for Whites, but 44.3% (CI: -71.0, -17.6), 34.6% (CI: -63.8, -5.3), and 25.6% (CI: -45.0, -6.3) for Mixed, Other and Black ethnic groups respectively). Despite easing of restrictions, the overall admission rates remained lower in England, Scotland, and Wales by 20.8%, 21.6%, and 22.0%, respectively when compared to the same period (August-September) during the pre-pandemic years. This corresponds to a reduction of 26.2, 23.8 and 30.2 admissions per 100,000 people in England, Scotland, and Wales respectively. INTERPRETATION: Hospital care for non-COVID diseases fell substantially across England, Scotland, and Wales during the first lockdown, with reductions persisting for at least six months. The most deprived and minority ethnic groups were impacted more severely. FUNDING: This work was funded by the Medical Research Council as part of the Lifelong Health and Wellbeing study as part of National Core Studies (MC_PC_20030). SVK acknowledges funding from the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). EAVE II is funded by the Medical Research Council (MR/R008345/1) with the support of BREATHE – The Health Data Research Hub for Respiratory Health (MC_PC_19004), which is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and delivered through Health Data Research UK. BG has received research funding from the NHS National Institute for Health Research (NIHR), the Wellcome Trust, Health Data Research UK, Asthma UK, the British Lung Foundation, and the Longitudinal Health and Wellbeing strand of the National Core Studies programme. Elsevier 2022-05-20 /pmc/articles/PMC9121886/ /pubmed/35611160 http://dx.doi.org/10.1016/j.eclinm.2022.101462 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Shah, Syed Ahmar
Brophy, Sinead
Kennedy, John
Fisher, Louis
Walker, Alex
Mackenna, Brian
Curtis, Helen
Inglesby, Peter
Davy, Simon
Bacon, Seb
Goldacre, Ben
Agrawal, Utkarsh
Moore, Emily
Simpson, Colin R
Macleod, John
Cooksey, Roxane
Sheikh, Aziz
Katikireddi, Srinivasa Vittal
Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people
title Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people
title_full Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people
title_fullStr Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people
title_full_unstemmed Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people
title_short Impact of first UK COVID-19 lockdown on hospital admissions: Interrupted time series study of 32 million people
title_sort impact of first uk covid-19 lockdown on hospital admissions: interrupted time series study of 32 million people
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121886/
https://www.ncbi.nlm.nih.gov/pubmed/35611160
http://dx.doi.org/10.1016/j.eclinm.2022.101462
work_keys_str_mv AT shahsyedahmar impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT brophysinead impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT kennedyjohn impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT fisherlouis impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT walkeralex impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT mackennabrian impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT curtishelen impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT inglesbypeter impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT davysimon impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT baconseb impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT goldacreben impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT agrawalutkarsh impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT mooreemily impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT simpsoncolinr impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT macleodjohn impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT cookseyroxane impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT sheikhaziz impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople
AT katikireddisrinivasavittal impactoffirstukcovid19lockdownonhospitaladmissionsinterruptedtimeseriesstudyof32millionpeople