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
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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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2022-11-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/11/e063271.full |
| _version_ | 1798018416334864384 |
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| author | Ashley Akbari James Farrell Aziz Sheikh Ben Goldacre Alex J Walker Ewen M Harrison Laurie A Tomlinson Ronan Lyons Sinead Brophy Jennifer Preston Colin R Simpson Nazir I Lone Louisa Pollock Annemarie B Docherty J Kenneth Baillie Malcolm G Semple Peter S Hall Olivia V Swann Sohan Seth Thomas C Williams Srinivasa V Katikireddi Michael J Seaborne J. Samantha Ainsworth Freya F Semple |
| author_facet | Ashley Akbari James Farrell Aziz Sheikh Ben Goldacre Alex J Walker Ewen M Harrison Laurie A Tomlinson Ronan Lyons Sinead Brophy Jennifer Preston Colin R Simpson Nazir I Lone Louisa Pollock Annemarie B Docherty J Kenneth Baillie Malcolm G Semple Peter S Hall Olivia V Swann Sohan Seth Thomas C Williams Srinivasa V Katikireddi Michael J Seaborne J. Samantha Ainsworth Freya F Semple |
| author_sort | Ashley Akbari |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T16:23:49Z |
| format | Article |
| id | doaj.art-cf07730a349e46cca37b328be010fc5c |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-04-11T16:23:49Z |
| publishDate | 2022-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-cf07730a349e46cca37b328be010fc5c2022-12-22T04:14:14ZengBMJ Publishing GroupBMJ Open2044-60552022-11-01121110.1136/bmjopen-2022-063271Studying 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 WalesAshley Akbari0James Farrell1Aziz Sheikh2Ben Goldacre3Alex J Walker4Ewen M Harrison5Laurie A Tomlinson6Ronan Lyons7Sinead Brophy8Jennifer Preston9Colin R Simpson10Nazir I Lone11Louisa Pollock12Annemarie B Docherty13J Kenneth Baillie14Malcolm G Semple15Peter S Hall16Olivia V Swann17Sohan Seth18Thomas C Williams19Srinivasa V Katikireddi20Michael J Seaborne21J. Samantha Ainsworth22Freya F Semple23Swansea University Medical School, Swansea University, Swansea, UKCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UKSwansea University Medical School, Swansea University, Swansea, UKHealth Data Research, Swansea University Medical School, Swansea, UKFaculty of Humanities and Social Sciences, University of Liverpool, Liverpool, UKUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKDepartment of Child Health, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UKCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKDivision of Genetics and Genomics, Roslin Institute, Edinburgh, UKNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, UKInstitute of Cancer and Genetics, The University of Edinburgh, Edinburgh, UKCentre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UKSchool of Informatics, The University of Edinburgh, Edinburgh, UKDepartment of Child Life and Health, The University of Edinburgh, Edinburgh, UKMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UKCentre for Population Health, Swansea University, Swansea, UKFaculty of Humanities and Social Sciences, University of Liverpool, Liverpool, UKSchool of Medicine Dentistry and Nursing, University of Glasgow, Glasgow, UKIntroduction 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.https://bmjopen.bmj.com/content/12/11/e063271.full |
| spellingShingle | Ashley Akbari James Farrell Aziz Sheikh Ben Goldacre Alex J Walker Ewen M Harrison Laurie A Tomlinson Ronan Lyons Sinead Brophy Jennifer Preston Colin R Simpson Nazir I Lone Louisa Pollock Annemarie B Docherty J Kenneth Baillie Malcolm G Semple Peter S Hall Olivia V Swann Sohan Seth Thomas C Williams Srinivasa V Katikireddi Michael J Seaborne J. Samantha Ainsworth Freya F Semple 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 BMJ Open |
| 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 |
| 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_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_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 |
| url | https://bmjopen.bmj.com/content/12/11/e063271.full |
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