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Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital

AIM: Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital a...

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Autores principales: Tee, Augustine, Choo, Bryan Peide, Gokhale, Roshni Sadashiv, Wang, Xiqin, Mansor, Mashithah, Oh, Hong Choon, Jones, Daryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482888/
https://www.ncbi.nlm.nih.gov/pubmed/37693336
http://dx.doi.org/10.1016/j.resplu.2023.100461
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author Tee, Augustine
Choo, Bryan Peide
Gokhale, Roshni Sadashiv
Wang, Xiqin
Mansor, Mashithah
Oh, Hong Choon
Jones, Daryl
author_facet Tee, Augustine
Choo, Bryan Peide
Gokhale, Roshni Sadashiv
Wang, Xiqin
Mansor, Mashithah
Oh, Hong Choon
Jones, Daryl
author_sort Tee, Augustine
collection PubMed
description AIM: Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years. METHODS: We conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases. RESULTS: The RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001). CONCLUSION: Implementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions.
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spelling pubmed-104828882023-09-08 Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital Tee, Augustine Choo, Bryan Peide Gokhale, Roshni Sadashiv Wang, Xiqin Mansor, Mashithah Oh, Hong Choon Jones, Daryl Resusc Plus Rapid Response Systems AIM: Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years. METHODS: We conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases. RESULTS: The RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001). CONCLUSION: Implementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions. Elsevier 2023-09-01 /pmc/articles/PMC10482888/ /pubmed/37693336 http://dx.doi.org/10.1016/j.resplu.2023.100461 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Rapid Response Systems
Tee, Augustine
Choo, Bryan Peide
Gokhale, Roshni Sadashiv
Wang, Xiqin
Mansor, Mashithah
Oh, Hong Choon
Jones, Daryl
Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital
title Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital
title_full Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital
title_fullStr Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital
title_full_unstemmed Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital
title_short Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital
title_sort findings from a decade of experience following implementation of a rapid response system into an asian hospital
topic Rapid Response Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482888/
https://www.ncbi.nlm.nih.gov/pubmed/37693336
http://dx.doi.org/10.1016/j.resplu.2023.100461
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