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Cited 4 time in webofscience Cited 7 time in scopus
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Effect of a rapid response system on code rates and in-hospital mortality in medical wardsopen access

Authors
Lee, Hong YeulLee, JinwooLee, Sang-MinKim, SulheeYang, EunjinLee, Hyun JooLee, HannahRyu, Ho GeolOh, Seung-YoungHa, Eun JinKo, Sang-BaeCho, Jaeyoung
Issue Date
Nov-2019
Publisher
KOREAN SOC CRITICAL CARE MEDICINE
Keywords
cardiopulmonary resuscitation; hospital mortality; hospital rapid response team; internal medicine
Citation
ACUTE AND CRITICAL CARE, v.34, no.4, pp.246 - 254
Journal Title
ACUTE AND CRITICAL CARE
Volume
34
Number
4
Start Page
246
End Page
254
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/87189
DOI
10.4266/acc.2019.00668
ISSN
2586-6052
Abstract
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 NOR), 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.
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