Evidence map›Paper›PMID 37711685›Full record

ArticleResuscitation plus2023

A study protocol for a cluster-randomised controlled trial of smartphone-activated first responders with ultraportable defibrillators in out-of-hospital cardiac arrest: The First Responder Shock Trial (FIRST).

Verity Todd, Bridget Dicker, Daniel Okyere, Karen Smith, Tony Smith, Graham Howie, Dion Stub, Michael Ray, Ralph Stewart, Tony Scott and 5 more

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Barriers and enablers to public access defibrillation - an international RAND-UCLA consensus study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
  11. 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

15 authors.

Verity ToddClinical Audit and Research Team, Hato Hone St John, National Headquarters, Ellerslie, Auckland, New Zealand.
Bridget DickerClinical Audit and Research Team, Hato Hone St John, National Headquarters, Ellerslie, Auckland, New Zealand.
Daniel OkyereCentre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.
Karen SmithSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Tony SmithClinical Audit and Research Team, Hato Hone St John, National Headquarters, Ellerslie, Auckland, New Zealand.
Graham HowieParamedicine Research Unit, Paramedicine Department, Auckland University of Technology, Manukau, Auckland, New Zealand.
Dion StubSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Michael RayCentre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.
Ralph StewartGreen Lane Cardiovascular Service, Auckland City Hospital, Te Toka Tumai, Te Whatu Ora - Health New Zealand, 2 Park Road, Grafton, Auckland 1023, New Zealand.
Tony ScottCardiology Department, North Shore Hospital, Waitematā, Te Whatu Ora - Health New Zealand, Takapuna, Auckland, New Zealand.
Andy SwainWellington Free Ambulance, Wellington, New Zealand.
Natalie HeriotCentre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.
Aroha BrettClinical Audit and Research Team, Hato Hone St John, National Headquarters, Ellerslie, Auckland, New Zealand.
Emily MahonyCentre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.
Ziad NehmeCentre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the First Responder Shock Trial (FIRST), which aims to determine whether equipping frequently responding, smartphone-activated (GoodSAM) first responders with an ultraportable AED can increase 30-day survival rates in OHCA. Methods: The FIRST trial is an investigator-initiated, bi-national (Victoria, Australia and New Zealand), registry-nested cluster-randomised controlled trial where the unit of randomisation is the smartphone-activated (GoodSAM) first responder. High-frequency GoodSAM responders are randomised 1:1 to receive an ultraportable, single-use AED or standard alert procedures using the GoodSAM app.The primary outcome is survival to 30 days. The secondary outcome measures (shockable rhythm, return of spontaneous circulation, event survival, and time to first shock delivery) are routinely collected by OHCA registries in both regions. The trial was registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (Registration: ACTRN12622000448741) on 22 March 2022. Results: The trial started in November 2022 and the last patient is expected to be enrolled in November 2024. We aim to detect a 7% increase in the proportion of 30-day survivors, from 9% in patients attended by control responders to 16% in patients attended by responders randomised to the ultraportable AED intervention arm. With 80% power, an alpha of 0.05, a cluster size of 1.5 and a coefficient of variation for cluster sizes of 1, the sample size required to detect this difference is 714 (357 per arm). Conclusion: The FIRST study will increase our understanding of the potential role of portable AED use by smartphone-activated community responders and their impact on survival outcomes.

Indexed as

AEDCommunity responderCommunity responseOut-of-hospital cardiac arrestPublic access defibrillationResuscitation

Identifiers

PMID37711685
PMCPMC10497988

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.