Evidence map›Paper›PMID 42829765›Full record

ArticleJournal of education and health promotion2026

Effects of an online stroke education program on enhancing knowledge, awareness of stroke warning signs, and emergency medical services seeking among high-risk residents in Huanggang City, China.

Wu Xiangbo, Wei Tang, Fan Fan, Suneerat Yangyuen

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wu XiangboDepartment of Neurology, Huanggang Central Hospital, Qi 'an Avenue NO.126, Huangzhou District, Huanggang, China.
Wei TangDepartment of Neurology, Huanggang Central Hospital, Qi 'an Avenue NO.126, Huangzhou District, Huanggang, China.
Fan FanDepartment of Neurology, Huanggang Central Hospital, Qi 'an Avenue NO.126, Huangzhou District, Huanggang, China.
Suneerat YangyuenDepartment of Public Health, Faculty of Public Health, Mahasarakham University, Mahasarakham, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is the leading cause of disability and death in china. Raising public awareness of warning signs is critical for improving access to emergency services and treatment outcomes. Prehospital delay remains a significant challenge, especially among high-risk populations. This study therefore aims to determine the effects of an online stroke education program (osp) on the knowledge, awareness of stroke warning signs, and seeking of emergency medical services (ems) among high-risk residents. MATERIALS AND

methodsA randomized controlled trial was conducted from September 2024 to April 2025. One hundred and six high-risk residents were randomly allocated to intervention and control groups (

resultsPostintervention, the experimental group exhibited significantly higher enhancement of stroke-related knowledge, awareness of warning signs, and EMS-seeking behavior compared to the control group (

conclusionThe OSP significantly improved stroke recognition and EMS-seeking intentions. This scalable model supports stroke care management by integrating digital education into primary care, effectively reducing prehospital delays. Such integration is crucial for improving clinical outcomes in acute stroke management and achieving public health targets.

Indexed as

AwarenessEmergency medical servicesHealth belief modelKnowledgeOnline educationStroke

Identifiers

PMID42829765
PMCPMC13633822

What OpenQuestion holds

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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.