Evidence map›Paper›PMID 41728512›Full record

ArticleCureus2026

Assessing the Impact of a Rapid Response Team on Code Blue Incidents and Hospital Mortality Rate: Evidence From a Tertiary Care Hospital in India.

Leo Tom, Rajeesh R Pillai, Gautham Rajan, Kanniyan Binub

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Leo TomInternal Medicine, K S Hegde Medical Academy, Mangaluru, IND.
Rajeesh R PillaiEmergency Medicine, Malabar Medical College and Research Centre, Kozhikode, IND.
Gautham RajanCritical Care Medicine, Malabar Medical College and Research Centre, Kozhikode, IND.
Kanniyan BinubCommunity Medicine, Malabar Medical College and Research Centre, Kozhikode, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid Response Teams (RRTs) are designed and implemented to identify and respond to early signs of clinical deterioration, to prevent in-hospital adverse events, particularly cardiopulmonary arrests. This multidisciplinary team aims to improve patient outcomes and reduce hospital mortality. Despite their widespread adoption in high-resource settings, evidence on the efficacy of RRTs in resource-limited environments remains limited.

objectiveThe objective of this study was to evaluate the impact of implementing an RRT on patient outcomes in a tertiary care hospital in South India.

methodsThis study compared data from six months before (November 2022 to April 2023) and six months after (November 2023 to April 2024) starting RRT. Event rates were analyzed using unadjusted and adjusted Poisson regression for all three outcomes. In-hospital mortality was additionally assessed using logistic regression and interrupted time series analysis to evaluate trends over time.

resultsAmong 24,568 hospital admissions, in-hospital mortality decreased from 3.7% to 2.9% post-RRT implementation (absolute difference: 0.71%; p = 0.002). Code Blue events declined from 2.3 to 1.5 per 1,000 admissions, and unplanned MICU transfers remained stable; however, these changes were not statistically significant. Unadjusted Poisson analysis showed a significant reduction in mortality (rate ratio: 0.81; 95% CI: 0.70-0.93; p = 0.003), though adjusted models showed no significant effects. Interrupted time series analysis demonstrated a significant month-on-month decline in mortality post-intervention (OR: 0.91; 95% CI: 0.83-0.99; p = 0.021), suggesting a gradual impact over time.

conclusionRRT implementation was associated with a significant reduction in in-hospital mortality, with evidence of a sustained downward trend over time. Effects on Code Blue events and MICU transfers were not statistically significant, warranting further evaluation in similar settings.

Indexed as

code blue simulationemergency response planin hospital cardiac arrestin hospital mortalitymedical intensive care unit (micu)patient outcome researchquality improvement projectsrapid response team (rrt)

Identifiers

PMID41728512
PMCPMC12920045

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.