Evidence map›Paper›PMID 40160015›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2025

Dedicated rapid response team implementation associated with reductions in hospital mortality and hospital expenses: a retrospective cohort analysis.

Jacob Sessim-Filho, Renato Palacio de Azevedo, Antonildes N Assuncao-Jr, Marcia Martiniano de Sousa E Sá Morgado, Felipe Duarte Silva, Laerte Pastore, Luiz Francisco Cardoso, Fernando Ganem

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Jacob Sessim-FilhoInpatient Care Coordination, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP, 01308-050, Brazil.ORCID 0000-0002-4364-555X
Renato Palacio de AzevedoMedical Team of Hospitalists, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.ORCID 0009-0003-1142-2081
Antonildes N Assuncao-JrResearch and Education Institute, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.ORCID 0000-0002-2567-017X
Marcia Martiniano de Sousa E Sá MorgadoClinical Governance Board, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.
Felipe Duarte SilvaClinical Governance Board, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.
Laerte PastoreIntensive Care Unit Management, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.
Luiz Francisco CardosoClinical Governance Board, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.
Fernando GanemGeneral Management, Sírio-Libanês Hospital, 91, Adma Jafet Street, Bela Vista, São Paulo, SP 01308-050, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe clinical impact of the implementation of rapid response teams (RRTs) remains controversial in the literature. Furthermore, data on the financial impact of this intervention remain scarce. Therefore, we aim to assess the impact of the implementation of a dedicated RRT on hospital mortality and hospital expenses of patients experiencing acute clinical deterioration requiring an unplanned intensive care unit (ICU) admission.

methodsWe conducted a retrospective single-centre cohort study of adult patients experiencing acute clinical deterioration requiring an unplanned ICU admission before and after the transition of the RRT leadership to a dedicated group on 1 June 2014. Admissions that occurred 30 days before and 30 days after were excluded because they included the training period of the team members. Therefore, the PRE group encompassed patients who required an unplanned ICU admission between 1 May 2012, and 30 April 2014, and the POST group included those admitted to the ICU between 1 July 2014, and 30 June 2016. Patients were matched by propensity score according to a calibration of 0.2 and at a 1:1 ratio using the nearest neighbour matching method. The primary outcome was in-hospital mortality, with secondary outcomes including ICU mortality, hospital and ICU length of stay, ICU readmission rate within 48 h, and hospital expenses.

resultsThe study included 977 consecutive patients: 470 in the PRE group and 507 in the POST group. Following propensity score matching, 343 pairs (totalling 686 patients) were identified. Analyses revealed reductions in in-hospital mortality rate (34.7% PRE vs. 22.7% POST; odds ratio 0.590 [95% CI: 0.254-0.927], P < .001) and ICU mortality rate (19.5% PRE vs. 12.8% POST; odds ratio 0.501 [95% CI: 0.087-0.915]; P = .022). Decreases in hospital and ICU length of stay and use of ICU support measures were also observed, accompanied by a 23.2% reduction in hospital expenditure (P < .001).

conclusionTransitioning to a dedicated RRT was associated with reduced in-hospital mortality and hospital resource utilization. Future research in diverse settings and cost-effectiveness analyses are warranted to confirm these findings and explore the economic impacts of RRTs.

Indexed as

Hospital CostsHospital MortalityHospital Rapid Response TeamAgedClinical DeteriorationFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedPatient ReadmissionPropensity ScoreRetrospective Studiesacute illnesshospitalizations costshospital mortalityICU mortalitymedical emergency teamrapid response team

Identifiers

PMID40160015
PMCPMC12036571

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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.