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Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers
BACKGROUND: : During the coronavirus disease (COVID-19) pandemic, health care workers (HCWs) have faced a heightened risk of infection. Preventative measures are critical to mitigate the spread of COVID-19 and protect HCWs. Traditional Chinese medicine (TCM) has been recommended to prevent and treat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier GmbH.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293119/ http://dx.doi.org/10.1016/j.eujim.2023.102273 |
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author | Jin, Xinyan Xu, Leqin Lu, Chunli Xue, Xue Liu, Xuehan Zhou, Yuzhen Hu, Xiaoyang Liu, Jianping Pei, Xiaohua |
author_facet | Jin, Xinyan Xu, Leqin Lu, Chunli Xue, Xue Liu, Xuehan Zhou, Yuzhen Hu, Xiaoyang Liu, Jianping Pei, Xiaohua |
author_sort | Jin, Xinyan |
collection | PubMed |
description | BACKGROUND: : During the coronavirus disease (COVID-19) pandemic, health care workers (HCWs) have faced a heightened risk of infection. Preventative measures are critical to mitigate the spread of COVID-19 and protect HCWs. Traditional Chinese medicine (TCM) has been recommended to prevent and treat COVID-19 in China. We conducted this survey to investigate the use of infection control behaviors, preventative and therapeutic interventions, and outcomes among HCWs during the surge of Omicron variant infections to explore the association of preventative measures with outcomes and to investigate the factors influencing the adoption of TCM as a preventative measure. METHODS: : The questionnaire consisted of 23 sections with 154 questions intended for HCWs. The targeted respondents comprised all HCWs from Xiamen Hospital Affiliated of Beijing University of Chinese Medicine. The recruitment process was open between March 17 and June 1, 2022. Chi-square test was used to estimate the relationship between prevention and outcomes. Multivariable logistic regression was used to investigate factors influencing the use of TCM as a preventative measure. RESULTS: : Among the 1122 participants who completed the questionnaire, 79.71% took preventative measures, including TCM (56.21%), physical activities (52.37%) and food supplements (26.99%). Xiamen preventative formula (a government-approved fixed prescription) (45.22%) and Lianhua Qingwen preparations (18.95%) were the most commonly used Chinese medicines. Thirty-six participants reported flu-like symptoms and three were diagnosed with COVID-19. Flu-like symptoms were not associated with prevention, vaccination, or TCM. Frontline working experience (OR = 0.61, 95% CI: 0.46–0.80), good knowledge of post-COVID-19 syndrome (OR = 0.57, 95% CI: 0.39–0.84), Western medicine qualifications (OR = 2.41, 95% CI: 1.51–3.86), nurses (OR = 1.70, 95% CI: 1.21–2.40), and medical technicians (OR = 2.27, 95% CI: 1.25–4.10) were associated with the willingness of using TCM as a preventative measure. CONCLUSION: : Complementary medicine, especially TCM, could be used for COVID-19 prevention. Knowledge of COVID-19 may prompt people to use TCM to prevent COVID-19. Multicenter studies and prospective cohort follow-up studies are needed to provide further insights into the use of TCM for COVID-19 management. |
format | Online Article Text |
id | pubmed-10293119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier GmbH. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102931192023-06-27 Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers Jin, Xinyan Xu, Leqin Lu, Chunli Xue, Xue Liu, Xuehan Zhou, Yuzhen Hu, Xiaoyang Liu, Jianping Pei, Xiaohua Eur J Integr Med Article BACKGROUND: : During the coronavirus disease (COVID-19) pandemic, health care workers (HCWs) have faced a heightened risk of infection. Preventative measures are critical to mitigate the spread of COVID-19 and protect HCWs. Traditional Chinese medicine (TCM) has been recommended to prevent and treat COVID-19 in China. We conducted this survey to investigate the use of infection control behaviors, preventative and therapeutic interventions, and outcomes among HCWs during the surge of Omicron variant infections to explore the association of preventative measures with outcomes and to investigate the factors influencing the adoption of TCM as a preventative measure. METHODS: : The questionnaire consisted of 23 sections with 154 questions intended for HCWs. The targeted respondents comprised all HCWs from Xiamen Hospital Affiliated of Beijing University of Chinese Medicine. The recruitment process was open between March 17 and June 1, 2022. Chi-square test was used to estimate the relationship between prevention and outcomes. Multivariable logistic regression was used to investigate factors influencing the use of TCM as a preventative measure. RESULTS: : Among the 1122 participants who completed the questionnaire, 79.71% took preventative measures, including TCM (56.21%), physical activities (52.37%) and food supplements (26.99%). Xiamen preventative formula (a government-approved fixed prescription) (45.22%) and Lianhua Qingwen preparations (18.95%) were the most commonly used Chinese medicines. Thirty-six participants reported flu-like symptoms and three were diagnosed with COVID-19. Flu-like symptoms were not associated with prevention, vaccination, or TCM. Frontline working experience (OR = 0.61, 95% CI: 0.46–0.80), good knowledge of post-COVID-19 syndrome (OR = 0.57, 95% CI: 0.39–0.84), Western medicine qualifications (OR = 2.41, 95% CI: 1.51–3.86), nurses (OR = 1.70, 95% CI: 1.21–2.40), and medical technicians (OR = 2.27, 95% CI: 1.25–4.10) were associated with the willingness of using TCM as a preventative measure. CONCLUSION: : Complementary medicine, especially TCM, could be used for COVID-19 prevention. Knowledge of COVID-19 may prompt people to use TCM to prevent COVID-19. Multicenter studies and prospective cohort follow-up studies are needed to provide further insights into the use of TCM for COVID-19 management. Published by Elsevier GmbH. 2023-06-27 /pmc/articles/PMC10293119/ http://dx.doi.org/10.1016/j.eujim.2023.102273 Text en © 2023 Published by Elsevier GmbH. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Jin, Xinyan Xu, Leqin Lu, Chunli Xue, Xue Liu, Xuehan Zhou, Yuzhen Hu, Xiaoyang Liu, Jianping Pei, Xiaohua Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers |
title | Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers |
title_full | Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers |
title_fullStr | Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers |
title_full_unstemmed | Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers |
title_short | Traditional Chinese medicine for the COVID-19 pandemic: An online cross-sectional survey among health care workers |
title_sort | traditional chinese medicine for the covid-19 pandemic: an online cross-sectional survey among health care workers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293119/ http://dx.doi.org/10.1016/j.eujim.2023.102273 |
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