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Construct and clinical verification of a nurse-led rapid response systems and activation criteria
BACKGROUND: Effective team leadership and good activation criteria can effectively initiate rapid response system (RRS) to reduce hospital mortality and improve quality of life. The first reaction time of nurses plays an important role in the rescue process. To construct a nurse-led (nurse-led RRS)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661765/ https://www.ncbi.nlm.nih.gov/pubmed/36376834 http://dx.doi.org/10.1186/s12912-022-01087-7 |
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author | Wu, Yuchen Wang, Jiaming Luo, Fan Li, Dan Ran, Xue Ren, Xuanlin Zhang, Lixiu Wei, Jingyun |
author_facet | Wu, Yuchen Wang, Jiaming Luo, Fan Li, Dan Ran, Xue Ren, Xuanlin Zhang, Lixiu Wei, Jingyun |
author_sort | Wu, Yuchen |
collection | PubMed |
description | BACKGROUND: Effective team leadership and good activation criteria can effectively initiate rapid response system (RRS) to reduce hospital mortality and improve quality of life. The first reaction time of nurses plays an important role in the rescue process. To construct a nurse-led (nurse-led RRS) and activation criteria and then to conduct a pragmatic evaluation of the nurse-led RRS. METHODS: We used literature review and the Delphi method to construct a nurse-led RRS and activation criteria based on the theory of “rapid response system planning.” Then, we conducted a quasi-experimental study to verify the nurse-led RRS. The control group patients were admitted from August to October 2020 and performed traditional rescue procedures. The intervention group patients were admitted from August to October 2021 and implemented nurse-led RRS. The primary outcome was success rate of rescue. SETTING: Emergency department, Gansu Province, China. RESULTS: The nurse-led RRS and activation criteria include 4 level 1 indicators, 14 level 2 indicators, and 88 level 3 indicators. There were 203 patients who met the inclusion criteria to verify the nurse-led RRS. The results showed that success rate of rescue in intervention group (86.55%) was significantly higher than that in control group (66.5%), the rate of cardiac arrest in intervention group (33.61%) was significantly lower than that in control group (72.62%), the effective rescue time of intervention group (46.98 ± 12.01 min) was shorter than that of control group (58.67 ± 13.73 min), and the difference was statistically significant (P < 0.05). The rate of unplanned ICU admissions in intervention group (42.85%) was lower than that in control group (44.04%), but the difference was not statistically significant (P > 0.05). CONCLUSIONS: The nurse-led RRS and activation criteria can improve the success rate of rescue, reduce the rate of cardiac arrest, shorten the effective time of rescue, effectively improve the rescue efficiency of patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-022-01087-7. |
format | Online Article Text |
id | pubmed-9661765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96617652022-11-15 Construct and clinical verification of a nurse-led rapid response systems and activation criteria Wu, Yuchen Wang, Jiaming Luo, Fan Li, Dan Ran, Xue Ren, Xuanlin Zhang, Lixiu Wei, Jingyun BMC Nurs Research BACKGROUND: Effective team leadership and good activation criteria can effectively initiate rapid response system (RRS) to reduce hospital mortality and improve quality of life. The first reaction time of nurses plays an important role in the rescue process. To construct a nurse-led (nurse-led RRS) and activation criteria and then to conduct a pragmatic evaluation of the nurse-led RRS. METHODS: We used literature review and the Delphi method to construct a nurse-led RRS and activation criteria based on the theory of “rapid response system planning.” Then, we conducted a quasi-experimental study to verify the nurse-led RRS. The control group patients were admitted from August to October 2020 and performed traditional rescue procedures. The intervention group patients were admitted from August to October 2021 and implemented nurse-led RRS. The primary outcome was success rate of rescue. SETTING: Emergency department, Gansu Province, China. RESULTS: The nurse-led RRS and activation criteria include 4 level 1 indicators, 14 level 2 indicators, and 88 level 3 indicators. There were 203 patients who met the inclusion criteria to verify the nurse-led RRS. The results showed that success rate of rescue in intervention group (86.55%) was significantly higher than that in control group (66.5%), the rate of cardiac arrest in intervention group (33.61%) was significantly lower than that in control group (72.62%), the effective rescue time of intervention group (46.98 ± 12.01 min) was shorter than that of control group (58.67 ± 13.73 min), and the difference was statistically significant (P < 0.05). The rate of unplanned ICU admissions in intervention group (42.85%) was lower than that in control group (44.04%), but the difference was not statistically significant (P > 0.05). CONCLUSIONS: The nurse-led RRS and activation criteria can improve the success rate of rescue, reduce the rate of cardiac arrest, shorten the effective time of rescue, effectively improve the rescue efficiency of patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-022-01087-7. BioMed Central 2022-11-14 /pmc/articles/PMC9661765/ /pubmed/36376834 http://dx.doi.org/10.1186/s12912-022-01087-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wu, Yuchen Wang, Jiaming Luo, Fan Li, Dan Ran, Xue Ren, Xuanlin Zhang, Lixiu Wei, Jingyun Construct and clinical verification of a nurse-led rapid response systems and activation criteria |
title | Construct and clinical verification of a nurse-led rapid response systems and activation criteria |
title_full | Construct and clinical verification of a nurse-led rapid response systems and activation criteria |
title_fullStr | Construct and clinical verification of a nurse-led rapid response systems and activation criteria |
title_full_unstemmed | Construct and clinical verification of a nurse-led rapid response systems and activation criteria |
title_short | Construct and clinical verification of a nurse-led rapid response systems and activation criteria |
title_sort | construct and clinical verification of a nurse-led rapid response systems and activation criteria |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661765/ https://www.ncbi.nlm.nih.gov/pubmed/36376834 http://dx.doi.org/10.1186/s12912-022-01087-7 |
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