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Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol
INTRODUCTION: A proportion of those who survive the acute phase of COVID-19 experience prolonged symptoms, commonly known as long COVID-19. Given that healthcare workers (HCWs) face an elevated risk of acute COVID-19 compared with the general population, the global burden of long COVID-19 in HCWs is...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729843/ https://www.ncbi.nlm.nih.gov/pubmed/36600349 http://dx.doi.org/10.1136/bmjopen-2022-065234 |
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author | Al-Oraibi, Amani Naidu, Jatin Sridhar Chaka, Aasiya Woolf, Katherine B Nellums, Laura Tarrant, Carolyn Pan, Daniel Sze, Shirley Martin, Christopher A Gogoi, Mayuri Nazareth, Joshua Pareek, Manish |
author_facet | Al-Oraibi, Amani Naidu, Jatin Sridhar Chaka, Aasiya Woolf, Katherine B Nellums, Laura Tarrant, Carolyn Pan, Daniel Sze, Shirley Martin, Christopher A Gogoi, Mayuri Nazareth, Joshua Pareek, Manish |
author_sort | Al-Oraibi, Amani |
collection | PubMed |
description | INTRODUCTION: A proportion of those who survive the acute phase of COVID-19 experience prolonged symptoms, commonly known as long COVID-19. Given that healthcare workers (HCWs) face an elevated risk of acute COVID-19 compared with the general population, the global burden of long COVID-19 in HCWs is likely to be large; however, there is limited understanding of the prevalence of long COVID-19 in HCWs, or its symptoms and their clustering. This review will aim to estimate the pooled prevalence and the symptoms of long COVID-19 among HCWs infected with SARS-CoV-2 globally, and investigate differences by country, age, sex, ethnicity, vaccination status and occupation. METHODS AND ANALYSIS: A systematic review and meta-analysis will be conducted. Medline (via Ovid), CINAHL (via EBSCO), Embase (via Ovid), PsycINFO (via EBSCO), OpenGrey (grey literature) and medRxiv (preprint server) will be searched from the 31 December 2019 onward. All research studies and preprint articles reporting any primary data on the prevalence and/or the symptoms of long COVID-19 among adult HCWs will be included. Methodological quality will be assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data. Outcomes are anticipated to be the prevalence of long COVID-19 among HCWs around the world and trajectory of symptoms. Data synthesis will include random-effect meta-analysis for studies reporting prevalence data of long COVID-19 following SARS-CoV-2 infection among HCWs. The results will be presented with a 95% CI as an estimated effect across studies. Heterogeneity will be assessed using I² statistic. Where meta-analysis is inappropriate, a narrative synthesis of the evidence will be conducted. ETHICS AND DISSEMINATION: Ethical approval is not needed as data will be obtained from published articles. We will publish our findings in a peer-reviewed journal and disseminate the results of our review at conferences. PROSPERO REGISTRATION NUMBER: CRD42022312781. |
format | Online Article Text |
id | pubmed-9729843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-97298432022-12-08 Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol Al-Oraibi, Amani Naidu, Jatin Sridhar Chaka, Aasiya Woolf, Katherine B Nellums, Laura Tarrant, Carolyn Pan, Daniel Sze, Shirley Martin, Christopher A Gogoi, Mayuri Nazareth, Joshua Pareek, Manish BMJ Open Global Health INTRODUCTION: A proportion of those who survive the acute phase of COVID-19 experience prolonged symptoms, commonly known as long COVID-19. Given that healthcare workers (HCWs) face an elevated risk of acute COVID-19 compared with the general population, the global burden of long COVID-19 in HCWs is likely to be large; however, there is limited understanding of the prevalence of long COVID-19 in HCWs, or its symptoms and their clustering. This review will aim to estimate the pooled prevalence and the symptoms of long COVID-19 among HCWs infected with SARS-CoV-2 globally, and investigate differences by country, age, sex, ethnicity, vaccination status and occupation. METHODS AND ANALYSIS: A systematic review and meta-analysis will be conducted. Medline (via Ovid), CINAHL (via EBSCO), Embase (via Ovid), PsycINFO (via EBSCO), OpenGrey (grey literature) and medRxiv (preprint server) will be searched from the 31 December 2019 onward. All research studies and preprint articles reporting any primary data on the prevalence and/or the symptoms of long COVID-19 among adult HCWs will be included. Methodological quality will be assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data. Outcomes are anticipated to be the prevalence of long COVID-19 among HCWs around the world and trajectory of symptoms. Data synthesis will include random-effect meta-analysis for studies reporting prevalence data of long COVID-19 following SARS-CoV-2 infection among HCWs. The results will be presented with a 95% CI as an estimated effect across studies. Heterogeneity will be assessed using I² statistic. Where meta-analysis is inappropriate, a narrative synthesis of the evidence will be conducted. ETHICS AND DISSEMINATION: Ethical approval is not needed as data will be obtained from published articles. We will publish our findings in a peer-reviewed journal and disseminate the results of our review at conferences. PROSPERO REGISTRATION NUMBER: CRD42022312781. BMJ Publishing Group 2022-12-06 /pmc/articles/PMC9729843/ /pubmed/36600349 http://dx.doi.org/10.1136/bmjopen-2022-065234 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Global Health Al-Oraibi, Amani Naidu, Jatin Sridhar Chaka, Aasiya Woolf, Katherine B Nellums, Laura Tarrant, Carolyn Pan, Daniel Sze, Shirley Martin, Christopher A Gogoi, Mayuri Nazareth, Joshua Pareek, Manish Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol |
title | Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol |
title_full | Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol |
title_fullStr | Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol |
title_full_unstemmed | Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol |
title_short | Prevalence of long COVID-19 among healthcare workers: a systematic review and meta-analysis protocol |
title_sort | prevalence of long covid-19 among healthcare workers: a systematic review and meta-analysis protocol |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729843/ https://www.ncbi.nlm.nih.gov/pubmed/36600349 http://dx.doi.org/10.1136/bmjopen-2022-065234 |
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