Evidence map›Paper›PMID 39955524›Full record

SynthesisBMC health services research2025

Mobile applications enhance out-of-hospital cardiac arrest outcomes: a systematic review and meta-analysis.

Qingqing Tong, Manhong Zhou, Xiaohui Liu, Jianmei Long, Li Li, Xiaoying Pan, Huiming Gao, Rujun Hu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

8 authors.

Qingqing Tong *Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Manhong Zhou *Department of Emergency, Kweichow Moutai Hospital, Renhuai, Guizhou, China.
Xiaohui LiuSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou, China.
Jianmei LongSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou, China.
Li LiSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou, China.
Xiaoying PanSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou, China.
Huiming GaoDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China. 512585524@qq.com.
Rujun HuDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China. hurujunok@163.com.

Funding

the 2023 graduate research fund project, Zunyi Medical University ZYK266the research and talent development fund of Kweichow Moutai Hospital MTyk2022-18the "Thousand" level talents of high-level innovative talents in Guizhou Province xmrc/20240205
6 · The paper itself

Abstract

introductionMobile applications, as innovative tools for promoting bystander cardiopulmonary resuscitation (CPR), have demonstrated potential to improve outcomes for patients experiencing out-of-hospital cardiac arrest (OHCA). This meta-analysis sought to systematically review the technical features of existing mobile applications and evaluate their impact on OHCA patient outcomes under various emergency response strategies. The findings aimed to guide the development and optimization of prehospital public emergency response systems.

methodsA systematic search was conducted in databases including China National Knowledge Infrastructure (CNKI), Wanfang Database, Chinese Scientific Journals Database (VIP), SinoMed, PubMed, Embase, Web of Science, and the Cochrane Library, from inception to August 2023. The included studies involved notifying citizens via text messages or smartphone applications to act as first responders or volunteers in OHCA cases. Using a random effects model and subgroup analysis, we synthesized the results to identify sources of heterogeneity and assess outcomes.

resultsThirteen mobile applications were included, with an average activation rate of 35.3% among patients and a volunteer arrival rate of 53.3%. Compared to traditional emergency medical services, mobile applications significantly improved survival to discharge or 30-day survival rates (RR = 1.34, 95% CI: 1.24-1.44; P < 0.05), return of spontaneous circulation (ROSC) rates upon hospital admission (RR = 1.23, 95% CI: 1.09-1.40; P < 0.05), bystander CPR rates (RR = 1.25, 95% CI: 1.13-1.37; P < 0.05), and bystander defibrillation rates (RR = 1.23, 95% CI: 1.00-1.51; P = 0.05). Subgroup analyses revealed consistent results for bystander CPR rates and survival outcomes, while variations in defibrillation rates and ROSC at admission were observed, indicating potential influences of application design and operational parameters.

conclusionsThis study highlighted the significant potential of mobile applications in enhancing bystander interventions and improving patient outcomes. Addressing challenges such as improving access to automated external defibrillators and raising public awareness remained essential to maximizing their overall effectiveness. PROSPERO REGISTRATION NUMBER: CRD42023477676.

Indexed as

Cardiopulmonary ResuscitationEmergency Medical ServicesMobile ApplicationsOut-of-Hospital Cardiac ArrestHumansCardiopulmonary resuscitationEmergencyMeta-analysisMobile applicationOut-of-hospital cardiac arrest

Identifiers

PMID39955524
PMCPMC11830178

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.