ArticleAcute and critical care2019
Effect of a rapid response system on code rates and in-hospital mortality in medical wards.
Article in Acute and critical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Acute Pulmonary Embolism: Evidence, Innovation, and Horizons.Current cardiology reports · 2024Review
- A rapid response team is associated with reduced overall hospital mortality in a Chinese tertiary hospital: a 9-year cohort study.Annals of translational medicine · 2020Article
- Evidence revealed the effects of rapid response system.Acute and critical care · 2019Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo determine the effects of implementing a rapid response system (RRS) on code rates and in-hospital mortality in medical wards.
methodsThis 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.
resultsThere 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).
conclusionsImplementation 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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