Evidence map›Paper›PMID 29177454›Full record

SynthesisInternational journal for quality in health care : journal of the International Society for Quality in Health Care2017

Factors influencing the activation of the rapid response system for clinically deteriorating patients by frontline ward clinicians: a systematic review.

Wei Ling Chua, Min Ting Alicia See, Helena Legio-Quigley, Daryl Jones, Augustine Tee, Sok Ying Liaw

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Patient and family activated escalation systems: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Pooled it
  2. Pooled it
  3. Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  4. Quality of diabetes care in cancer: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2019
    Pooled it
  5. Trial
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  9. "We Don't Want to Cry Wolf": A Qualitative Study About Nurses' Experiences Activating Rapid Response Teams.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2026
    Article
  10. Article
  11. Review
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  14. [Modified Delphi study about implementation of early warning scores].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Wei Ling ChuaAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Min Ting Alicia SeeAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Helena Legio-QuigleySaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Daryl JonesDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Augustine TeeDepartment of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore.
Sok Ying LiawAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo synthesize factors influencing the activation of the rapid response system (RRS) and reasons for suboptimal RRS activation by ward nurses and junior physicians. DATA SOURCES: Nine electronic databases were searched for articles published between January 1995 and January 2016 in addition to a hand-search of reference lists and relevant journals. STUDY SELECTION: Published primary studies conducted in adult general ward settings and involved the experiences and views of ward nurses and/or junior physicians in RRS activation were included. DATA EXTRACTION: Data on design, methods and key findings were extracted and collated. RESULTS OF DATA SYNTHESIS: Thirty studies were included for the review. The process to RRS activation was influenced by the perceptions and clinical experiences of ward nurses and physicians, and facilitated by tools and technologies, including the sensitivity and specificity of the activation criteria, and monitoring technology. However, the task of enacting the RRS activations was challenged by seeking further justification, deliberating over reactions from the rapid response team and the impact of workload and staffing. Finally, adherence to the traditional model of escalation of care, support from colleagues and hospital leaders, and staff training were organizational factors that influence RRS activation.

conclusionThis review suggests that the factors influencing RRS activation originated from a combination of socio-cultural, organizational and technical aspects. Institutions that strive for improvements in the existing RRS or are considering to adopt the RRS should consider the complex interactions between people and the elements of technologies, tasks, environment and organization in healthcare settings.

Indexed as

Clinical DeteriorationAttitude of Health PersonnelCritical CareDelivery of Health CareHospital Rapid Response TeamHumansMedical Staff, HospitalPatient SafetyWorkloadclinical deteriorationearly warning scoring systemhuman factorspatient safetyrapid response systemsystematic review

Identifiers

PMID29177454
PMCPMC6216047

What OpenQuestion holds

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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.