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

被引:0
作者
Swann, Olivia, V [1 ,2 ]
Lone, Nazir, I [3 ]
Harrison, Ewen M. [1 ]
Tomlinson, Laurie A. [4 ]
Walker, Alex J. [5 ]
Seaborne, Michael J. [6 ]
Pollock, Louisa [7 ]
Farrell, James [1 ]
Hall, Peter S. [8 ]
Seth, Sohan [9 ]
Williams, Thomas C. [2 ]
Preston, Jennifer [10 ]
Ainsworth, J. Samantha [10 ]
Semple, Freya F. [11 ]
Baillie, J. Kenneth [12 ]
Katikireddi, Srinivasa, V [13 ]
Akbari, Ashley [14 ]
Lyons, Ronan [14 ]
Simpson, Colin R. [3 ,15 ]
Semple, Malcolm G. [16 ,17 ]
Goldacre, Ben [5 ]
Brophy, Sinead [18 ]
Sheikh, Aziz [3 ]
Docherty, Annemarie B. [1 ]
机构
[1] Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Ctr Med Informat, Edinburgh, Scotland
[2] Univ Edinburgh, Dept Child Life & Hlth, Edinburgh, Scotland
[3] Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Edinburgh, Scotland
[4] London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London, England
[5] Univ Oxford, Nuffield Dept Primary Care Hlth Sci, DataLab, Oxford, England
[6] Swansea Univ, Ctr Populat Hlth, Swansea, Wales
[7] Univ Glasgow, Sch Med Dent & Nursing, Dept Child Hlth, Glasgow, Scotland
[8] Univ Edinburgh, Inst Canc & Genet, Edinburgh, Scotland
[9] Univ Edinburgh, Sch Informat, Edinburgh, Scotland
[10] Univ Liverpool, Fac Humanities & Social Sci, Liverpool, England
[11] Univ Glasgow, Sch Med Dent & Nursing, Glasgow, Scotland
[12] Roslin Inst, Div Genet & Genom, Edinburgh, Scotland
[13] Univ Glasgow, MRC CSO Social & Publ Hlth Sci Unit, Glasgow, Scotland
[14] Swansea Univ, Med Sch, Swansea, Scotland
[15] Victoria Univ Wellington, Fac Hlth, Sch Hlth, Wellington, New Zealand
[16] NIHR Hlth Protect Res Unit Emerging & Zoonot Infec, Liverpool, England
[17] Alder Hey Childrens Hosp, Resp Paediat, Liverpool, England
[18] Swansea Univ, Hlth Data Res, Med Sch, Swansea, Wales
来源
BMJ OPEN | 2022年 / 12卷 / 11期
基金
英国惠康基金; 英国医学研究理事会; 英国经济与社会研究理事会; 英国科研创新办公室;
关键词
COVID-19; epidemiology; paediatric infectious disease & immunisation; health economics; LINKAGE;
D O I
10.1136/bmjopen-2022-063271
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionSARS-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 analysisWe 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 disseminationThis 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.
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