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Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China

AIM: To explore the nursing workforce allocation in intensive care units (ICUs) of COVID‐19‐designated hospitals during the epidemic peak in China. DESIGN: A nationwide cross‐sectional online survey. METHODS: A total of 37 head nurses and 262 frontline nurses in 37 ICUs of COVID‐19‐designated tertia...

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Autores principales: Ren, Hong‐fei, Liu, Chang‐qing, Chen, Feng‐jiao, He, Ling‐xiao, Zhang, Ming‐guang, Gu, Bo, Zhu, Hong, Jiang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415983/
https://www.ncbi.nlm.nih.gov/pubmed/37247342
http://dx.doi.org/10.1002/nop2.1830
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author Ren, Hong‐fei
Liu, Chang‐qing
Chen, Feng‐jiao
He, Ling‐xiao
Zhang, Ming‐guang
Gu, Bo
Zhu, Hong
Jiang, Yan
author_facet Ren, Hong‐fei
Liu, Chang‐qing
Chen, Feng‐jiao
He, Ling‐xiao
Zhang, Ming‐guang
Gu, Bo
Zhu, Hong
Jiang, Yan
author_sort Ren, Hong‐fei
collection PubMed
description AIM: To explore the nursing workforce allocation in intensive care units (ICUs) of COVID‐19‐designated hospitals during the epidemic peak in China. DESIGN: A nationwide cross‐sectional online survey. METHODS: A total of 37 head nurses and 262 frontline nurses in 37 ICUs of COVID‐19‐designated tertiary hospitals located in 22 cities of China were surveyed. The self‐reported human resource allocation questionnaire was used to assess the nursing workforce allocation. RESULTS: The average patient‐to‐nurse ratio was 1.89 ± 1.14, and the median working hours per shift was 5 h. The top four majors of front‐line nurses in ICUs were respiratory (31.30%), lemology (27.86%), intensive care (21.76%) and emergency (17.18%). We also found that a smaller average patient‐to‐nurse ratio (odds ratio [OR]: 0.328, 95% CI: 0.108, 1.000), longer average weekly rest time per person (OR: 0.193, 95% CI: 0.051, 0.729) and larger proportion of 6–9 working years (OR: 0.002, 95% CI: 0.001, 1.121) decreased the occurrence of nursing adverse events.
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spelling pubmed-104159832023-08-12 Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China Ren, Hong‐fei Liu, Chang‐qing Chen, Feng‐jiao He, Ling‐xiao Zhang, Ming‐guang Gu, Bo Zhu, Hong Jiang, Yan Nurs Open Empirical Research Quantitative AIM: To explore the nursing workforce allocation in intensive care units (ICUs) of COVID‐19‐designated hospitals during the epidemic peak in China. DESIGN: A nationwide cross‐sectional online survey. METHODS: A total of 37 head nurses and 262 frontline nurses in 37 ICUs of COVID‐19‐designated tertiary hospitals located in 22 cities of China were surveyed. The self‐reported human resource allocation questionnaire was used to assess the nursing workforce allocation. RESULTS: The average patient‐to‐nurse ratio was 1.89 ± 1.14, and the median working hours per shift was 5 h. The top four majors of front‐line nurses in ICUs were respiratory (31.30%), lemology (27.86%), intensive care (21.76%) and emergency (17.18%). We also found that a smaller average patient‐to‐nurse ratio (odds ratio [OR]: 0.328, 95% CI: 0.108, 1.000), longer average weekly rest time per person (OR: 0.193, 95% CI: 0.051, 0.729) and larger proportion of 6–9 working years (OR: 0.002, 95% CI: 0.001, 1.121) decreased the occurrence of nursing adverse events. John Wiley and Sons Inc. 2023-05-29 /pmc/articles/PMC10415983/ /pubmed/37247342 http://dx.doi.org/10.1002/nop2.1830 Text en © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Empirical Research Quantitative
Ren, Hong‐fei
Liu, Chang‐qing
Chen, Feng‐jiao
He, Ling‐xiao
Zhang, Ming‐guang
Gu, Bo
Zhu, Hong
Jiang, Yan
Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China
title Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China
title_full Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China
title_fullStr Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China
title_full_unstemmed Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China
title_short Nursing workforce allocation in the intensive care units of COVID‐19‐designated hospitals: A nationwide cross‐sectional survey in China
title_sort nursing workforce allocation in the intensive care units of covid‐19‐designated hospitals: a nationwide cross‐sectional survey in china
topic Empirical Research Quantitative
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415983/
https://www.ncbi.nlm.nih.gov/pubmed/37247342
http://dx.doi.org/10.1002/nop2.1830
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