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Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secon...

Olivia V Swann Orcid Logo, Nazir I Lone, Ewen M Harrison Orcid Logo, Laurie A Tomlinson Orcid Logo, Alex J Walker Orcid Logo, Mike Seaborne Orcid Logo, Louisa Pollock, James Farrell, Peter S Hall, Sohan Seth, Thomas C Williams, Jennifer Preston, J. Samantha Ainsworth, Freya F Semple, J Kenneth Baillie, Srinivasa V Katikireddi Orcid Logo, Ashley Akbari Orcid Logo, Ronan Lyons Orcid Logo, Colin R Simpson Orcid Logo, Malcolm G Semple, Ben Goldacre Orcid Logo, Sinead Brophy Orcid Logo, Aziz Sheikh, Annemarie B Docherty

BMJ Open, Volume: 12, Issue: 11, Start page: e063271

Swansea University Authors: Mike Seaborne Orcid Logo, Ashley Akbari Orcid Logo, Ronan Lyons Orcid Logo, Sinead Brophy Orcid Logo

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DOI (Published version): 10.1136/bmjopen-2022-063271

Abstract

Introduction SARS-CoV-2 infection rarely causes hospitalisation in children and young people (CYP), but mild or asymptomatic infections are common. Persistent symptoms following infection have been reported in CYP but subsequent healthcare use is unclear. We aim to describe healthcare use in CYP fol...

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Published in: BMJ Open
ISSN: 2044-6055 2044-6055
Published: BMJ 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa61931
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Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales</title><swanseaauthors><author><sid>fcc7ece0f04577ad5f283b00dd7f52cf</sid><ORCID>0000-0002-4921-7556</ORCID><firstname>Mike</firstname><surname>Seaborne</surname><name>Mike Seaborne</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>84f5661b35a729f55047f9e793d8798b</sid><ORCID>0000-0001-7417-2858</ORCID><firstname>Sinead</firstname><surname>Brophy</surname><name>Sinead Brophy</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-11-15</date><deptcode>HDAT</deptcode><abstract>Introduction SARS-CoV-2 infection rarely causes hospitalisation in children and young people (CYP), but mild or asymptomatic infections are common. Persistent symptoms following infection have been reported in CYP but subsequent healthcare use is unclear. We aim to describe healthcare use in CYP following community-acquired SARS-CoV-2 infection and identify those at risk of ongoing healthcare needs.Methods and analysis We will use anonymised individual-level, population-scale national data linking demographics, comorbidities, primary and secondary care use and mortality between 1 January 2019 and 1 May 2022. SARS-CoV-2 test data will be linked from 1 January 2020 to 1 May 2022. Analyses will use Trusted Research Environments: OpenSAFELY in England, Secure Anonymised Information Linkage (SAIL) Databank in Wales and Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 in Scotland (EAVE-II). CYP aged &#x2265;4&#x2009;and &lt;18 years who underwent SARS-CoV-2 reverse transcription PCR (RT-PCR) testing between 1 January 2020 and 1 May 2021 and those untested CYP will be examined.The primary outcome measure is cumulative healthcare cost over 12 months following SARS-CoV-2 testing, stratified into primary or secondary care, and physical or mental healthcare. We will estimate the burden of healthcare use attributable to SARS-CoV-2 infections in the 12 months after testing using a matched cohort study of RT-PCR positive, negative or untested CYP matched on testing date, with adjustment for confounders. We will identify factors associated with higher healthcare needs in the 12 months following SARS-CoV-2 infection using an unmatched cohort of RT-PCR positive CYP. Multivariable logistic regression and machine learning approaches will identify risk factors for high healthcare use and characterise patterns of healthcare use post infection.Ethics and dissemination This study was approved by the South-Central Oxford C Health Research Authority Ethics Committee (13/SC/0149). Findings will be preprinted and published in peer-reviewed journals. Analysis code and code lists will be available through public GitHub repositories and OpenCodelists with meta-data via HDR-UK Innovation Gateway.</abstract><type>Journal Article</type><journal>BMJ Open</journal><volume>12</volume><journalNumber>11</journalNumber><paginationStart>e063271</paginationStart><paginationEnd/><publisher>BMJ</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2044-6055</issnPrint><issnElectronic>2044-6055</issnElectronic><keywords/><publishedDay>10</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-11-10</publishedDate><doi>10.1136/bmjopen-2022-063271</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This research is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20058). This work was also supported by The Alan Turing Institute via &#x2018;Towards Turing 2.0&#x2019; EPSRC Grant Funding. The grant period spans 1 November 2021 to 30 September 2022.</funders><projectreference/><lastEdited>2022-11-24T09:53:05.6884120</lastEdited><Created>2022-11-15T22:54:31.0560929</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Olivia V</firstname><surname>Swann</surname><orcid>0000-0001-7386-2849</orcid><order>1</order></author><author><firstname>Nazir I</firstname><surname>Lone</surname><order>2</order></author><author><firstname>Ewen M</firstname><surname>Harrison</surname><orcid>0000-0002-5018-3066</orcid><order>3</order></author><author><firstname>Laurie A</firstname><surname>Tomlinson</surname><orcid>0000-0001-8848-9493</orcid><order>4</order></author><author><firstname>Alex J</firstname><surname>Walker</surname><orcid>0000-0003-4932-6135</orcid><order>5</order></author><author><firstname>Mike</firstname><surname>Seaborne</surname><orcid>0000-0002-4921-7556</orcid><order>6</order></author><author><firstname>Louisa</firstname><surname>Pollock</surname><order>7</order></author><author><firstname>James</firstname><surname>Farrell</surname><order>8</order></author><author><firstname>Peter S</firstname><surname>Hall</surname><order>9</order></author><author><firstname>Sohan</firstname><surname>Seth</surname><order>10</order></author><author><firstname>Thomas C</firstname><surname>Williams</surname><order>11</order></author><author><firstname>Jennifer</firstname><surname>Preston</surname><order>12</order></author><author><firstname>J. Samantha</firstname><surname>Ainsworth</surname><order>13</order></author><author><firstname>Freya F</firstname><surname>Semple</surname><order>14</order></author><author><firstname>J Kenneth</firstname><surname>Baillie</surname><order>15</order></author><author><firstname>Srinivasa V</firstname><surname>Katikireddi</surname><orcid>0000-0001-6593-9092</orcid><order>16</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>17</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>18</order></author><author><firstname>Colin R</firstname><surname>Simpson</surname><orcid>0000-0002-5194-8083</orcid><order>19</order></author><author><firstname>Malcolm G</firstname><surname>Semple</surname><order>20</order></author><author><firstname>Ben</firstname><surname>Goldacre</surname><orcid>0000-0002-5127-4728</orcid><order>21</order></author><author><firstname>Sinead</firstname><surname>Brophy</surname><orcid>0000-0001-7417-2858</orcid><order>22</order></author><author><firstname>Aziz</firstname><surname>Sheikh</surname><order>23</order></author><author><firstname>Annemarie B</firstname><surname>Docherty</surname><order>24</order></author></authors><documents><document><filename>61931__25885__28f3ad11ed614fcb96afb2f4cca8c987.pdf</filename><originalFilename>61931.pdf</originalFilename><uploaded>2022-11-24T09:49:46.8097984</uploaded><type>Output</type><contentLength>988922</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; Author(s) (or their employer(s)) 2022. 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spelling 2022-11-24T09:53:05.6884120 v2 61931 2022-11-15 Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales fcc7ece0f04577ad5f283b00dd7f52cf 0000-0002-4921-7556 Mike Seaborne Mike Seaborne true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 84f5661b35a729f55047f9e793d8798b 0000-0001-7417-2858 Sinead Brophy Sinead Brophy true false 2022-11-15 HDAT Introduction SARS-CoV-2 infection rarely causes hospitalisation in children and young people (CYP), but mild or asymptomatic infections are common. Persistent symptoms following infection have been reported in CYP but subsequent healthcare use is unclear. We aim to describe healthcare use in CYP following community-acquired SARS-CoV-2 infection and identify those at risk of ongoing healthcare needs.Methods and analysis We will use anonymised individual-level, population-scale national data linking demographics, comorbidities, primary and secondary care use and mortality between 1 January 2019 and 1 May 2022. SARS-CoV-2 test data will be linked from 1 January 2020 to 1 May 2022. Analyses will use Trusted Research Environments: OpenSAFELY in England, Secure Anonymised Information Linkage (SAIL) Databank in Wales and Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 in Scotland (EAVE-II). CYP aged ≥4 and <18 years who underwent SARS-CoV-2 reverse transcription PCR (RT-PCR) testing between 1 January 2020 and 1 May 2021 and those untested CYP will be examined.The primary outcome measure is cumulative healthcare cost over 12 months following SARS-CoV-2 testing, stratified into primary or secondary care, and physical or mental healthcare. We will estimate the burden of healthcare use attributable to SARS-CoV-2 infections in the 12 months after testing using a matched cohort study of RT-PCR positive, negative or untested CYP matched on testing date, with adjustment for confounders. We will identify factors associated with higher healthcare needs in the 12 months following SARS-CoV-2 infection using an unmatched cohort of RT-PCR positive CYP. Multivariable logistic regression and machine learning approaches will identify risk factors for high healthcare use and characterise patterns of healthcare use post infection.Ethics and dissemination This study was approved by the South-Central Oxford C Health Research Authority Ethics Committee (13/SC/0149). Findings will be preprinted and published in peer-reviewed journals. Analysis code and code lists will be available through public GitHub repositories and OpenCodelists with meta-data via HDR-UK Innovation Gateway. Journal Article BMJ Open 12 11 e063271 BMJ 2044-6055 2044-6055 10 11 2022 2022-11-10 10.1136/bmjopen-2022-063271 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University This research is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20058). This work was also supported by The Alan Turing Institute via ‘Towards Turing 2.0’ EPSRC Grant Funding. The grant period spans 1 November 2021 to 30 September 2022. 2022-11-24T09:53:05.6884120 2022-11-15T22:54:31.0560929 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Olivia V Swann 0000-0001-7386-2849 1 Nazir I Lone 2 Ewen M Harrison 0000-0002-5018-3066 3 Laurie A Tomlinson 0000-0001-8848-9493 4 Alex J Walker 0000-0003-4932-6135 5 Mike Seaborne 0000-0002-4921-7556 6 Louisa Pollock 7 James Farrell 8 Peter S Hall 9 Sohan Seth 10 Thomas C Williams 11 Jennifer Preston 12 J. Samantha Ainsworth 13 Freya F Semple 14 J Kenneth Baillie 15 Srinivasa V Katikireddi 0000-0001-6593-9092 16 Ashley Akbari 0000-0003-0814-0801 17 Ronan Lyons 0000-0001-5225-000X 18 Colin R Simpson 0000-0002-5194-8083 19 Malcolm G Semple 20 Ben Goldacre 0000-0002-5127-4728 21 Sinead Brophy 0000-0001-7417-2858 22 Aziz Sheikh 23 Annemarie B Docherty 24 61931__25885__28f3ad11ed614fcb96afb2f4cca8c987.pdf 61931.pdf 2022-11-24T09:49:46.8097984 Output 988922 application/pdf Version of Record true © Author(s) (or their employer(s)) 2022. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license true eng https://creativecommons.org/licenses/by/4.0/
title Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
spellingShingle Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
Mike Seaborne
Ashley Akbari
Ronan Lyons
Sinead Brophy
title_short Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
title_full Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
title_fullStr Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
title_full_unstemmed Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
title_sort Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales
author_id_str_mv fcc7ece0f04577ad5f283b00dd7f52cf
aa1b025ec0243f708bb5eb0a93d6fb52
83efcf2a9dfcf8b55586999d3d152ac6
84f5661b35a729f55047f9e793d8798b
author_id_fullname_str_mv fcc7ece0f04577ad5f283b00dd7f52cf_***_Mike Seaborne
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
84f5661b35a729f55047f9e793d8798b_***_Sinead Brophy
author Mike Seaborne
Ashley Akbari
Ronan Lyons
Sinead Brophy
author2 Olivia V Swann
Nazir I Lone
Ewen M Harrison
Laurie A Tomlinson
Alex J Walker
Mike Seaborne
Louisa Pollock
James Farrell
Peter S Hall
Sohan Seth
Thomas C Williams
Jennifer Preston
J. Samantha Ainsworth
Freya F Semple
J Kenneth Baillie
Srinivasa V Katikireddi
Ashley Akbari
Ronan Lyons
Colin R Simpson
Malcolm G Semple
Ben Goldacre
Sinead Brophy
Aziz Sheikh
Annemarie B Docherty
format Journal article
container_title BMJ Open
container_volume 12
container_issue 11
container_start_page e063271
publishDate 2022
institution Swansea University
issn 2044-6055
2044-6055
doi_str_mv 10.1136/bmjopen-2022-063271
publisher BMJ
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description Introduction SARS-CoV-2 infection rarely causes hospitalisation in children and young people (CYP), but mild or asymptomatic infections are common. Persistent symptoms following infection have been reported in CYP but subsequent healthcare use is unclear. We aim to describe healthcare use in CYP following community-acquired SARS-CoV-2 infection and identify those at risk of ongoing healthcare needs.Methods and analysis We will use anonymised individual-level, population-scale national data linking demographics, comorbidities, primary and secondary care use and mortality between 1 January 2019 and 1 May 2022. SARS-CoV-2 test data will be linked from 1 January 2020 to 1 May 2022. Analyses will use Trusted Research Environments: OpenSAFELY in England, Secure Anonymised Information Linkage (SAIL) Databank in Wales and Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 in Scotland (EAVE-II). CYP aged ≥4 and <18 years who underwent SARS-CoV-2 reverse transcription PCR (RT-PCR) testing between 1 January 2020 and 1 May 2021 and those untested CYP will be examined.The primary outcome measure is cumulative healthcare cost over 12 months following SARS-CoV-2 testing, stratified into primary or secondary care, and physical or mental healthcare. We will estimate the burden of healthcare use attributable to SARS-CoV-2 infections in the 12 months after testing using a matched cohort study of RT-PCR positive, negative or untested CYP matched on testing date, with adjustment for confounders. We will identify factors associated with higher healthcare needs in the 12 months following SARS-CoV-2 infection using an unmatched cohort of RT-PCR positive CYP. Multivariable logistic regression and machine learning approaches will identify risk factors for high healthcare use and characterise patterns of healthcare use post infection.Ethics and dissemination This study was approved by the South-Central Oxford C Health Research Authority Ethics Committee (13/SC/0149). Findings will be preprinted and published in peer-reviewed journals. Analysis code and code lists will be available through public GitHub repositories and OpenCodelists with meta-data via HDR-UK Innovation Gateway.
published_date 2022-11-10T04:21:09Z
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score 11.036837

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