Evidence map›Paper›PMID 37693336›Full record

ArticleResuscitation plus2023

Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital.

Augustine Tee, Bryan Peide Choo, Roshni Sadashiv Gokhale, Xiqin Wang, Mashithah Mansor, Hong Choon Oh, Daryl Jones

Abstract read
In one paragraph

Article in Resuscitation plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. In-hospital cardiac arrest in a Singaporean tertiary hospital: Epidemiology, outcomes, and potential suboptimal end-of-life planning.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
    Article
  3. Article
  4. Review
  5. Article
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

7 authors.

Augustine TeeRespiratory and Critical Care Medicine, Changi General Hospital, Singapore.
Bryan Peide ChooHealth Services Research, Changi General Hospital, Singapore.
Roshni Sadashiv GokhaleInternal Medicine, Changi General Hospital, Singapore.
Xiqin WangAdvanced Practice Nurse Development, Changi General Hospital, Singapore.
Mashithah MansorMICU Ward, Changi General Hospital, Singapore.
Hong Choon OhHealth Services Research, Changi General Hospital, Singapore.
Daryl JonesDepartment of Intensive Care Unit, Austin Hospital, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Rapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years. Methods: We conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases. Results: The RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001). Conclusion: Implementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions.

Indexed as

Cardiac arrestCode blueIntensive care unitMedical emergency teamObservational studyRapid response system

Identifiers

PMID37693336
PMCPMC10482888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.