Evidence map›Paper›PMID 40984921›Full record

ArticleCureus2025

Factors Influencing Hospital Non-clinical Personnel's Willingness to Perform Bystander Cardiopulmonary Resuscitation in the Immediate Post-COVID-19 Period.

Jong Sun Ok, Soo Young An, Gukhee Lee

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jong Sun OkDepartment of Nursing, Konkuk University, Chungju-si, KOR.
Soo Young AnEmergency Department, Konkuk University Medical Center, Seoul, KOR.
Gukhee LeeMedical Innovation Department, Konkuk University Medical Center, Seoul, KOR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Out-of-hospital cardiac arrest (OHCA) is a major emergency that requires immediate intervention, and the willingness of bystanders to perform cardiopulmonary resuscitation (CPR) plays a crucial role in improving patient survival. This study aimed to investigate the factors associated with the willingness to perform bystander cardiopulmonary resuscitation (BCPR) in the immediate post-COVID-19 pandemic context. Method A descriptive cross-sectional survey was conducted among 215 hospital non-clinical personnel employed at Konkuk University Medical Center in 2023. Data were analyzed using multiple linear regression to identify key predictors of willingness to perform BCPR. Results The findings indicated that willingness to perform CPR was lowest when the victim was a trauma patient and highest when the victim was a family member. Contrary to expectations, fear of infectious disease transmission did not significantly deter CPR willingness. Instead, concern about potentially harming the victim emerged as a major psychological barrier. Factors positively associated with increased willingness to administer BCPR included prior CPR training, higher self-reported confidence in CPR performance, and female gender. Conclusion In light of the ongoing and possibly recurring nature of infectious disease outbreaks, it is imperative to develop multifaceted public health strategies aimed at enhancing public readiness to perform CPR. Improving CPR education, addressing psychological barriers, and reinforcing the importance of bystander intervention are essential to improving OHCA survival rates and optimizing health system preparedness and community resilience.

Indexed as

cardiopulmonary resuscitationhospital non-clinical personnelout-of-hospital cardiac arrestpost-covid-19willingness

Identifiers

PMID40984921
PMCPMC12450286

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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.