Alice Faux-Nightingale a.faux-nightingale@keele.ac.uk
Symptom patterns and life with post-acute COVID-19 in children aged 8-17: a mixed methods studyprotocol.
Faux-Nightingale, Alice; Burton, Claire; Twohig, Helen; Bucknall, Milica; Carroll, Will; Chew-Graham, Carolyn; Dunn, Kathryn; Gilchrist, Francis; Helliwell, Toby; Lawton, Oliver; Lawton, Sarah; Mallen, Christian; Saunders, Benjamin; Van Der Windt, Danielle; Welsh, Victoria
Authors
Claire Burton c.burton@keele.ac.uk
Helen Twohig h.j.twohig1@keele.ac.uk
Milica Bucknall m.bucknall@keele.ac.uk
Will Carroll
Carolyn Chew-Graham c.a.chew-graham@keele.ac.uk
Professor Kathryn Dunn k.m.dunn@keele.ac.uk
Francis Gilchrist f.j.gilchrist@keele.ac.uk
Toby Helliwell t.helliwell@keele.ac.uk
Oliver Lawton
Sarah Lawton s.a.lawton@keele.ac.uk
Christian Mallen c.d.mallen@keele.ac.uk
Dr Benjamin Saunders b.saunders@keele.ac.uk
Danielle Van Der Windt d.van.der.windt@keele.ac.uk
Victoria Welsh v.welsh@keele.ac.uk
Abstract
Background: While there is a substantial body of knowledge about acute COVID-19, less is known about long-COVID, where symptoms continue beyond 4 weeks.
Aim: To describe longer-term effects of COVID-19 infection in children and young people (CYP) and identify their needs in relation to long-COVID.
Design & setting: This study comprises an observational prospective cohort study and a linked qualitative study, identifying participants aged 8–17 years in the West Midlands of England.
Method: CYP will be invited to complete online questionnaires to monitor incidences and symptoms of COVID-19 over a 12-month period. CYP who have experienced long-term effects of COVID will be invited to interview, and those currently experiencing symptoms will be asked to document their experiences in a diary. Professionals who work with CYP will be invited to explore the impact of long-COVID on the wider experiences of CYP, in a focus group. Descriptive statistics will be used to describe the incidence and rates of resolution of symptoms, and comparisons will be made between exposed and non-exposed groups. Logistic regression models will be used to estimate associations between candidate predictors and the development of long-COVID, and linear regression will be used to estimate associations between candidate predictors. Qualitative data will be analysed thematically using the constant comparison method.
Conclusion: This study will describe features and symptoms of long-COVID and explore the impact of long-COVID within the lives of CYP and their families, to provide better understanding of long-COVID and inform clinical practice.
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Feb 3, 2023 |
| Online Publication Date | Jun 27, 2023 |
| Publication Date | 2023-02 |
| Publicly Available Date | Jun 20, 2023 |
| Journal | BJGP Open |
| Print ISSN | 2398-3795 |
| Publisher | Royal College of General Practitioners |
| Volume | 7 |
| Issue | 2 |
| Article Number | BJGPO20220149 |
| DOI | https://doi.org/10.3399/bjgpo.2022.0149 |
| Keywords | COVID-19; child health; primary health care; long-COVID; symptom patterns |
| Publisher URL | https://bjgpopen.org/content/early/2023/02/08/BJGPO.2022.0149 |
| PMID | 36759021 |
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https://creativecommons.org/licenses/by/4.0/
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