Impact of increased calls to rapid response systems on unplanned ICU admission.
Am J Emerg Med
; 38(7): 1327-1331, 2020 07.
Article
in En
| MEDLINE
| ID: mdl-31843333
BACKGROUND: Whether hospital bed number and rapid response system (RRS) call rate is associated with the clinical outcomes of patients who have RRS activations is unknown. We test a hypothesis that hospital volume and RRS call rates are associated with the clinical outcomes of patients with RRSs. METHODS: This is a retrospective chart analysis of an existing dataset associated with In-Hospital Emergency Registry in Japan. In the present study, 4818 patients in 24 hospitals from April 2014 to March 2018 were analyzed. Primary outcome variable was an unplanned intensive care unit (ICU) admission after RRS activation. RESULTS: In the primary analysis of the study using a multivariate analysis adjusting potential confounding factors, higher RRS call rate was significantly associated with decreased unplanned ICU admissions (P < 0.0001, Odds ratio [OR] 0.95, 95% confidence interval [CI] 0.92-0.98), but there was no significant association of hospital volume with unplanned ICU admissions (P = 0.44). In the secondary analysis of the study, there was a non-significant trend of increased cardiac arrest on arrival at the location of the RRS provider at large-volume hospitals (P = 0.084, OR 1.16, 95% CI 0.98-1.38). Large-volume hospitals had a significantly higher 1-month mortality rate (P = 0.0040, OR 1.10, 95% CI 1.03-1.18). CONCLUSION: Hospitals with increased RRS call rates had significantly decreased unplanned ICU admission in patients who had RRS activations. Patients who had RRS activations at large-volume hospitals had an increased 1-month mortality rate.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Hospital Mortality
/
Hospital Rapid Response Team
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Critical Care Outcomes
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Hospital Bed Capacity
/
Intensive Care Units
Type of study:
Observational_studies
/
Prognostic_studies
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Risk_factors_studies
Limits:
Aged
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Aged80
/
Female
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Humans
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Male
/
Middle aged
Country/Region as subject:
Asia
Language:
En
Journal:
Am J Emerg Med
Year:
2020
Document type:
Article
Affiliation country:
Japan
Country of publication:
United States