Evidence map›Paper›PMID 37859630›Full record

ArticleResuscitation plus2023

Technology activated community first responders in Singapore: Real-world care delivery & outcome trends.

Fahad Javaid Siddiqui, Stephanie Fook-Chong, Nur Shahidah, Colin K Tan, Jinn Yang Poh, Wei Ming Ng, Dennis Quah, Yih Yng Ng, Benjamin Sh Leong, Marcus Eh Ong

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Fahad Javaid SiddiquiHealth Services & Systems Research, Duke-NUS Medical School, Singapore.
Stephanie Fook-ChongPre-hospital & Emergency Research Centre, Duke-NUS Medical School, Singapore.
Nur ShahidahPre-hospital & Emergency Research Centre, Duke-NUS Medical School, Singapore.
Colin K TanEmergency Medical Services Department, Singapore Civil Defence Force, Singapore.
Jinn Yang PohVolunteer & Community Partnership Department, Singapore Civil Defence Force, Singapore.
Wei Ming NgEmergency Medicine Department, Ng Teng Fong General Hospital, Singapore.
Dennis QuahOperations Department, Singapore Civil Defence Force, Singapore.
Yih Yng NgDigital and Smart Health Office, Ng Teng Fong Centre for Healthcare Innovation, Tan Tock Seng Hospital, Singapore.
Benjamin Sh LeongEmergency Medicine Department, National University Hospital, Singapore.
Marcus Eh OngHealth Services & Systems Research, Duke-NUS Medical School, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity first responders (CFRs) strengthen the Chain of Survival for out-of-hospital cardiac arrest (OHCA) care. Considerable efforts have been invested in Singapore's CFR program, during the years 2016-2020, by developing an app-based activation system called myResponder. This paper reports on national CFR response indicators to evaluate the real-world impact of these efforts.

methodsWe matched data from the Singapore Civil Defence Force's CFR registry with the Pan Asian Resuscitation Outcomes Study (PAROS) registry data to calculate performance indicators. These included the number of CFRs receiving and accepting an issued alert per OHCA event. Also calculated were the fraction of OHCA events where CFRs received an issued alert, or accepted the alert, and arrived at the scene either before or after EMS. We also present trends of these indicators and compare the prevalence of these fractions between the CFR-attended and CFR-unattended OHCA events.

resultsOf 6577 alerted OHCA events, 42.7% accepted an alert, 50% of these arrived at the scene and 71% of them arrived before EMS. Almost all CFR response indicators improved over time even for the pandemic year (2020). The fraction of OHCA events where >2 CFRs received an alert increased from 62% to 96%; the same figure for accepting an alert did not change much but >2 CFRs arriving at the scene increased from 0% to 7.5%. The fraction of OHCA events with an automated external defibrillator applied and defibrillation performed by CFR increased from 4.2% to 10.3% and 1.6% to 3%, respectively. Statistically significant differences were observed in these indicators when CFR-attended and CFR-unattended OHCA events were compared.

conclusionThis real-world study shows that activating CFRs using mobile technology can improve community response to OHCA and are bearing fruit in Singapore at a national level. Some targets for improvement and future research are highlighted in this report.

Indexed as

AEDCommunity First ResponderCPRDefibrillationmyResponderOHCAOut-of-hospital cardiac arrestPre-hospital Emergency CareTrends

Identifiers

PMID37859630
PMCPMC10582741

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.