Acute and Critical Care

Original Articles

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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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; 40(3): 583. 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

Rapid response system
A Pilot Study of the Effectiveness of Medical Emergency System Implementation at a Single Center in Korea: Su Hwan Lee, Ah Young Leem, Youngok Nho, Young Ah Kim, Kyung Duck Kim, Young Sam Kim, Se Kyu Kim, Kyung Soo Chung; Korean J Crit Care Med. 2017;32(2):133-141. Published online May 16, 2017; DOI: https://doi.org/10.4266/kjccm.2016.01011

6,784 View
115 Download
2 Web of Science
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Abstract PDF

Background
An automatic alarm system was developed was developed for unexpected vital sign instability in admitted patients to reduce staffing needs and costs related to rapid response teams. This was a pilot study of the automatic alarm system, the medical emergency system (MES), and the aim of this study was to determine the effectiveness of the MES before expanding this system to all departments.
Methods
This retrospective, observational study compared the performance of patients admitted to the pulmonary department at a single center using patient data from three 3-month periods (before implementation of the MES: December 2013-February 2014; after implementation of the MES: December 2014-February 2015 and December 2015-February 2016).
Results
A total of 571 patients were admitted to the pulmonary department during the three observation periods. During this pilot study, the MES automatically issued 568 alarms for 415 admitted patients. There was no significant difference in the rate of cardiopulmonary resuscitation (CPR) before and after application of the MES. The mortality rate also did not change. However, it appeared that CPR was prevented in four patients admitted from the general ward to the intensive care unit (ICU) during MES implementation. The median length of hospital stay and median length of ICU stay were not significantly different before and after MES implementation.
Conclusions
Although we did not find a significant improvement in outcomes upon MES implementation, the CPR rate and mortality rate did not increase despite increased comorbidities. This was a small pilot study, and, based on these results, we believe that the MES may have significant effects in longer-term and larger-scale studies.

Citations

Citations to this article as recorded by

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 in Korea
Bo Young Lee, Sang-Bum Hong
Acute and Critical Care.2019; 34(2): 108. CrossRef

Quality Improvement
Successful Implementation of a Rapid Response System in the Department of Internal Medicine: Yeon Joo Lee, Jin Joo Park, Yeonyee E Yoon, Jin Won Kim, Jong Sun Park, Taeyun Kim, Jae Hyuk Lee, Jung Won Suh, You Hwan Jo, Sangheon Park, Kyuseok Kim, Young Jae Cho; Korean J Crit Care Med. 2014;29(2):77-82. Published online May 31, 2014; DOI: https://doi.org/10.4266/kjccm.2014.29.2.77

6,853 View
113 Download
7 Crossref

Abstract PDF

Background
A rapid response system (RRS) aims to prevent unexpected patient death due to clinical errors and is becoming an essential part of intensive care. We examined the activity and outcomes of RRS for patients admitted to our institution’s department of internal medicine.
Methods
We retrospectively reviewed patients detected by the RRS and admitted to the medical intensive care unit (MICU) from October 2012 through August 2013. We studied the overall activity of the RRS and compared patient outcomes between those admitted via the RRS and those admitted conventionally.
Results
A total of 4,849 alert lists were generated from 2,505 medical service patients. The RRS was activated in 58 patients: A (Admit to ICU), B (Borderline intervention), C (Consultation), and D (Do not resuscitate) in 26 (44.8%), 21 (36.2%), 4 (6.9%), and 7 (12.1%) patients, respectively. Low oxygen saturation was the most common criterion for RRS activation. MICU admission via the RRS resulted in a shorter ICU stay than that via conventional admission (6.2 vs. 9.9 days, p = 0.018).
Conclusions
An RRS can be successfully implemented in medical services. ICU admission via the RRS resulted in a shorter ICU stay than that via conventional admission. Further study is required to determine long-term outcomes.

Citations

Citations to this article as recorded by

Temporal variational autoencoder model for in-hospital clinical emergency prediction
Trong-Nghia Nguyen, Soo-Hyung Kim, Bo-Gun Kho, Nhu-Tai Do, Ngumimi-Karen Iyortsuun, Guee-Sang Lee, Hyung-Jeong Yang
Biomedical Signal Processing and Control.2025; 100: 106975. CrossRef
Effectiveness of Rapid Response Team implementation in a tertiary hospital in Egypt: an interventional study
Rania Hosny, Rasha Saad Hussein, Wafaa Mohamed Hussein, Sally Adel Hakim, Ihab Shehad Habil
BMJ Open Quality.2024; 13(3): e002540. 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 systems in Korea
Bo Young Lee, Sang-Bum Hong
Acute and Critical Care.2019; 34(2): 108. CrossRef
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 and Critical Care.2019; 34(4): 246. CrossRef
Differences in the Clinical Characteristics of Rapid Response System Activation in Patients Admitted to Medical or Surgical Services
Yeon Joo Lee, Dong Seon Lee, Hyunju Min, Yun Young Choi, Eun Young Lee, Inae Song, Yeonyee E. Yoon, Jin Won Kim, Jong Sun Park, Young-Jae Cho, Jae Hyuk Lee, Jung-Won Suh, You Hwan, Kyuseok Kim, Sangheon Park
Journal of Korean Medical Science.2017; 32(4): 688. CrossRef

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