Acute and Critical Care

Original Articles

Rapid response system
Effectiveness of a daytime rapid response system in hospitalized surgical ward patients: Eunjin Yang, Hannah Lee, Sang-Min Lee, Sulhee Kim, Ho Geol Ryu, Hyun Joo Lee, Jinwoo Lee, Seung-Young Oh; Acute Crit Care. 2020;35(2):77-86. Published online May 13, 2020; DOI: https://doi.org/10.4266/acc.2019.00661

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Background
Clinical deteriorations during hospitalization are often preventable with a rapid response system (RRS). We aimed to investigate the effectiveness of a daytime RRS for surgical hospitalized patients.
Methods
A retrospective cohort study was conducted in 20 general surgical wards at a 1,779-bed University hospital from August 2013 to July 2017 (August 2013 to July 2015, pre-RRS-period; August 2015 to July 2017, post-RRS-period). The primary outcome was incidence of cardiopulmonary arrest (CPA) when the RRS was operating. The secondary outcomes were the incidence of total and preventable cardiopulmonary arrest, in-hospital mortality, the percentage of “do not resuscitate” orders, and the survival of discharged CPA patients.
Results
The relative risk (RR) of CPA per 1,000 admissions during RRS operational hours (weekdays from 7 AM to 7 PM) in the post-RRS-period compared to the pre-RRS-period was 0.53 (95% confidence interval [CI], 0.25 to 1.13; P=0.099) and the RR of total CPA regardless of RRS operating hours was 0.76 (95% CI, 0.46 to 1.28; P=0.301). The preventable CPA after RRS implementation was significantly lower than that before RRS implementation (RR, 0.31; 95% CI, 0.11 to 0.88; P=0.028). There were no statistical differences in in-hospital mortality and the survival rate of patients with in-hospital cardiac arrest. Do-not-resuscitate decisions significantly increased during after RRS implementation periods compared to pre-RRS periods (RR, 1.91; 95% CI, 1.40 to 2.59; P<0.001).
Conclusions
The day-time implementation of the RRS did not significantly reduce the rate of CPA whereas the system effectively reduced the rate of preventable CPA during periods when the system was operating.

Citations

Citations to this article as recorded by

Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration
Bryan D. Steitz, Allison B. McCoy, Thomas J. Reese, Siru Liu, Liza Weavind, Kipp Shipley, Elise Russo, Adam Wright
Journal of General Internal Medicine.2024; 39(1): 27. CrossRef
Effects of a Rapid Response Team on Patient Outcomes: A Systematic Review
Qiuxia Zhang, Khuan Lee, Zawiah Mansor, Iskasymar Ismail, Yi Guo, Qiao Xiao, Poh Ying Lim
Heart & Lung.2024; 63: 51. CrossRef
Clinical significance of acute care surgery system as a part of hospital medical emergency team for hospitalized patients
Kyoung Won Yoon, Kyoungjin Choi, Keesang Yoo, Eunmi Gil, Chi-Min Park
Annals of Surgical Treatment and Research.2023; 104(1): 43. CrossRef
The associations between rapid response systems and their components with patient outcomes: A scoping review
Rebecca J. Piasecki, Cheryl R. Dennison Himmelfarb, Kelly T. Gleason, Rachel M. Justice, Elizabeth A. Hunt
International Journal of Nursing Studies Advances.2023; 5: 100134. CrossRef
Changes in the incidence of cardiopulmonary resuscitation before and after implementation of the Life-Sustaining Treatment Decisions Act
Hyunjae Im, Hyun Woo Choe, Seung-Young Oh, Ho Geol Ryu, Hannah Lee
Acute and Critical Care.2022; 37(2): 237. CrossRef
Estructura y función de los equipos de respuesta rápida para la atención de adultos en contextos hospitalarios de alta complejidad: Revisión sistemática de alcance
Juliana Vanessa Rincón-López, Diego Larrotta-Castillo, Kelly Estrada-Orozco, Hernando Gaitán-Duarte
Revista Colombiana de Obstetricia y Ginecología.2021; 72(2): 171. CrossRef
Characteristics and Prognosis of Hospitalized Patients at High Risk of Deterioration Identified by the Rapid Response System: a Multicenter Cohort Study
Sang Hyuk Kim, Ji Young Hong, Youlim Kim
Journal of Korean Medical Science.2021;[Epub] CrossRef
Effects of a Rapid Response Team on the Clinical Outcomes of Cardiopulmonary Resuscitation of Patients Hospitalized in General Wards
Mi-Jung Yoon, Jin-Hee Park
Journal of Korean Academy of Fundamentals of Nursing.2021; 28(4): 491. CrossRef

Rapid response system
Effect of a rapid response system on code rates and in-hospital mortality in medical wards: Hong Yeul Lee, Jinwoo Lee, Sang-Min Lee, Sulhee Kim, Eunjin Yang, Hyun Joo Lee, Hannah Lee, Ho Geol Ryu, Seung-Young Oh, Eun Jin Ha, Sang-Bae Ko, Jaeyoung Cho; Acute Crit Care. 2019;34(4):246-254. Published online November 29, 2019; DOI: https://doi.org/10.4266/acc.2019.00668

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196 Download
7 Web of Science
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Abstract PDF

Background
To determine the effects of implementing a rapid response system (RRS) on code rates and in-hospital mortality in medical wards.
Methods
This retrospective study included adult patients admitted to medical wards at Seoul National University Hospital between July 12, 2016 and March 12, 2018; the sample comprised 4,224 patients admitted 10 months before RRS implementation and 4,168 patients admitted 10 months following RRS implementation. Our RRS only worked during the daytime (7 AM to 7 PM) on weekdays. We compared code rates and in-hospital mortality rates between the preintervention and postintervention groups.
Results
There were 62.3 RRS activations per 1,000 admissions. The most common reasons for RRS activation were tachypnea or hypopnea (44%), hypoxia (31%), and tachycardia or bradycardia (21%). Code rates from medical wards during RRS operating times significantly decreased from 3.55 to 0.96 per 1,000 admissions (adjusted odds ratio [aOR], 0.29; 95% confidence interval [CI], 0.10 to 0.87; P=0.028) after RRS implementation. However, code rates from medical wards during RRS nonoperating times did not differ between the preintervention and postintervention groups (2.60 vs. 3.12 per 1,000 admissions; aOR, 1.23; 95% CI, 0.55 to 2.76; P=0.614). In-hospital mortality significantly decreased from 56.3 to 42.7 per 1,000 admissions after RRS implementation (aOR, 0.79; 95% CI, 0.64 to 0.97; P=0.024).
Conclusions
Implementation of an RRS was associated with significant reductions in code rates during RRS operating times and in-hospital mortality in medical wards.

Citations

Citations to this article as recorded by

The role of emergency medical services in the management of in-hospital emergencies: Causes and outcomes of emergency calls – A descriptive retrospective register-based study
Henna Myrskykari, Timo Iirola, Hilla Nordquist
Australasian Emergency Care.2024; 27(1): 42. CrossRef
Effects of a Rapid Response Team on Patient Outcomes: A Systematic Review
Qiuxia Zhang, Khuan Lee, Zawiah Mansor, Iskasymar Ismail, Yi Guo, Qiao Xiao, Poh Ying Lim
Heart & Lung.2024; 63: 51. CrossRef
Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU: 2023
Kimia Honarmand, Randy S. Wax, Daleen Penoyer, Geoffery Lighthall, Valerie Danesh, Bram Rochwerg, Michael L. Cheatham, Daniel P. Davis, Michael DeVita, James Downar, Dana Edelson, Alison Fox-Robichaud, Shigeki Fujitani, Raeann M. Fuller, Helen Haskell, Ma
Critical Care Medicine.2024; 52(2): 314. CrossRef
Rapid Response Systems
Bradford D. Winters
Critical Care Clinics.2024;[Epub] CrossRef
Improving sepsis recognition and management
Merrilee I Cox, Hillary Voss
Current Problems in Pediatric and Adolescent Health Care.2021; 51(4): 101001. CrossRef
A Somogy Megyei Kaposi Mór Oktató Kórház által bevezetett gyors reagálású rendszer hatása a kórházi mortalitásra
János Fogas, Rita Koroseczné Pavlin, Krisztina Szabó, Eszter Héra, Imre Repa, Mariann Moizs
Orvosi Hetilap.2021; 162(20): 782. CrossRef
Evidence revealed the effects of rapid response system
Jae Hwa Cho
Acute and Critical Care.2019; 34(4): 282. CrossRef

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