Evidence map›Paper›PMID 41364454›Full record

ArticleThe Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres2026

"We Don't Want to Cry Wolf": A Qualitative Study About Nurses' Experiences Activating Rapid Response Teams.

Lindsay Fitzgerald, Kim Sears, Rosemary Wilson, Lenora Duhn

Abstract read
In one paragraph

Article in The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Lindsay FitzgeraldPerioperative Services, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Kim SearsSchool of Nursing | Health Quality Programs, Queen's University, Kingston, Ontario, Canada.
Rosemary WilsonSchool of Nursing & DAPM, Queen's University, Kingston, Ontario, Canada.
Lenora DuhnSchool of Nursing, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0002-0401-953X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & PurposePatient clinical deterioration is a major safety concern. One strategy implemented for health providers to improve the timely recognition and response to patient deterioration is the Rapid Response Team (RRT). Despite this resource, patient deterioration still occurs and delayed activation of the RRT is one contributing factor. Little is known about unit-level nurses' experiences related to RRT activation, especially within the Canadian context, which is problematic given they are the ones who are primarily responsible for initiating the process. The purpose of this study was to understand the experiences of nurses practising on general adult inpatient medicine units and their activation of the RRT.Methods & ProceduresThe research question was addressed with a descriptive, exploratory qualitative study. Nurses working on general adult inpatient medicine units at an Ontario hospital study site were purposively recruited to participate. Semi-structured interviews with the six participants were held online and audio-video recorded. Inductive, thematic analysis was used.ResultsEleven themes about the barriers and facilitators to RRT activation, and one overarching theme-the

Indexed as

Attitude of Health PersonnelHospital Rapid Response TeamNursing Staff, HospitalAdultClinical DeteriorationFemaleHumansMaleMiddle AgedOntarioQualitative Researchclinical deteriorationescalation of carehospital rapid response teamnurses as subjectspatient safetyqualitative approaches

Identifiers

PMID41364454
PMCPMC12989623

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Registered trials

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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.