Evidence map›Paper›PMID 40703286›Full record

ArticleFrontiers in medicine2025

Development, implementation, and evaluation of a rapid response system at a Nigerian teaching hospital, a novel idea in sub-Saharan Africa.

Promise Ariyo, Seung W Lee, Asad Latif, Chinyere Egbuta, Vinciya Pandian, Olufemi Bankole, Ibironke Desalu, John Sampson, Bradford Winters

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Promise AriyoDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
Seung W LeeDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
Asad LatifDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
Chinyere EgbutaDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.
Vinciya PandianSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Olufemi BankoleDepartment of Surgery, University of Lagos College of Medicine, Lagos, Lagos, Nigeria.
Ibironke DesaluDepartment of Anesthesiology, University of Lagos College of Medicine, Lagos, Lagos, Nigeria.
John SampsonDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
Bradford WintersDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Little is known about the incidence of clinical deterioration and cardiopulmonary arrest (CPA) on general hospital units in low-and middle-income countries (LMICs) or how rapid response systems (RRSs) might impact these events. Implementation of RRSs in high-income countries has been shown to reduce the incidence of CPA and mortality. The aim of this study was to determine whether implementation of an RRS is feasible in an LMIC medical center. Methods: We developed and implemented an RRS in a large academic medical center in Lagos, Nigeria, in three phases: (1) Needs assessment and stakeholder engagement, (2) Infrastructure setup and education, and (3) Implementation and data collection. We collected data on incidence of rapid response events, attendance ratio and time of arrival of the designated clinical staff, triggers for the rapid response calls and common interventions at the events. Results: Over the 7 months study period, 997 patients were admitted to the intervention-eligible units, and 95 RRS events occurred in 55 patients. In 11 RRS activations (11.6%), no rapid response team member responded. Anesthesia residents attended 73.7% of the events, and anesthesia techs and nurses attended roughly 38% each. Internal medicine residents responded to 13.7% of RRS activations. The average time to arrival was 13 min. The most common trigger was altered mental status, followed by hypoxia and hypotension. Seventy-six percent of patients survived their initial RRS activation, and 83% died while in hospital. Common interventions were vasopressor use, oxygen supplementation, and intravenous fluid administration. No patient was transferred to the designated intensive care unit after an RRS activation owing to lack of beds. Six patients were transferred to the makeshift ICU, all of which required vasopressor support. Conclusion: While barriers remain, the development and implementation of an RRS program in an LMIC medical center is feasible.

Indexed as

failure to rescuemultidisciplinaryPilot hospital-basedrapid response system

Identifiers

PMID40703286
PMCPMC12283680

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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.