Evidence map›Paper›PMID 42560589›Full record

ArticleJournal of immigrant and minority health2026

Improving Perceptions, Knowledge, and Skills of Bystander CPR and AED use in the Mandarin-Speaking Immigrant Community.

Jasmine W Jiang, Ethan Wang, Lyric Li, Yi-Hsuan Yen, Alexis Chase, Heather Dinneen, Sarah Perman, David Yang

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Article in Journal of immigrant and minority health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jasmine W Jiang *Yale School of Medicine, New Haven, United States. jasmine.jiang@yale.edu.ORCID http://orcid.org/0009-0001-4393-9910
Ethan Wang *Yale School of Medicine, New Haven, United States.
Lyric LiFrank H. Netter MD School of Medicine, North Haven, United States.
Yi-Hsuan YenDepartment of Emergency Medicine, Yale School of Medicine, New Haven, United States.
Alexis ChaseDepartment of Emergency Medicine, Yale School of Medicine, New Haven, United States.
Heather DinneenDepartment of Emergency Medicine, Yale School of Medicine, New Haven, United States.
Sarah PermanYale School of Medicine, New Haven, United States.ORCID http://orcid.org/0000-0002-0849-0847
David YangYale School of Medicine, New Haven, United States.ORCID http://orcid.org/0000-0002-1252-9820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionApproximately 40% of patients receive bystander cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrests in the U.S., with potentially lower rates among non-White individuals. Despite increasing efforts to promote bystander intervention in different racial communities, few educational programs target the Mandarin-speaking community. To address these gaps, we designed, implemented, and evaluated Mandarin CPR and AED workshops for Mandarin-speaking immigrants in the Greater New Haven area.

methodsParticipants were recruited through collaboration with a Chinese school and church. Participants filled out pre-workshop surveys that assessed demographics, knowledge on CPR and AED use, and perceptions of bystander interventions. Participants then completed a workshop which included a presentation, a live demonstration on a CPR manikin, and hands-on small-group practice. After the workshop, participants completed a post-workshop survey with the same knowledge and perception questions. Finally, they were assessed on CPR skills and AED use by trained instructors.

resultsEighty-five participants were included in final analyses. Of these, 52% reported limited English proficiency, 80% had never learned CPR, and 72% did not know what an AED looked like. Post-workshop, participants demonstrated increased knowledge as well as increased willingness to and confidence in performing CPR (p < 0.001). All 85 participants passed the skills assessment.

conclusionThis study demonstrates that interactive, Mandarin CPR and AED workshops positively influenced participants' perceptions of bystander interventions and improved their knowledge and skills. We propose these language-congruent workshops as a feasible and effective intervention that can be implemented for diverse populations.

Indexed as

Automated External DefibrillatorChinese AmericansCommunity Cardiopulmonary ResuscitationLimited English ProficiencyMandarin

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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.