Evidence map›Paper›PMID 41079357›Full record

ArticleFrontiers in neurology2025

Stroke knowledge and attitudes influence early hospital arrival in acute ischemic stroke: a multicenter cross-sectional survey from Hubei Province, China.

Xiangbo Wu, Qin Zhou, Xiao Jiang, Fan Fan, Weijun Wang, Jinhua Wang, Gang Zhou, Feng Wan, Guangming Xia

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

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiangbo Wu *Department of Neurology, Huanggang Central Hospital, Huanggang, China.
Qin Zhou *Department of Neurology, Huanggang Central Hospital, Huanggang, China.
Xiao JiangDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.
Fan FanDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.
Weijun WangDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.
Jinhua WangDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.
Gang ZhouDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.
Feng WanDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.
Guangming XiaDepartment of Neurology, Huanggang Central Hospital, Huanggang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prehospital delay remains a major challenge in China and is a critical barrier to timely intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS). However, the contributing factors-particularly the roles of stroke knowledge and attitudes-are not yet fully understood. This study aimed to examine the associations between stroke knowledge, attitudes, and other potential covariates with prehospital delay. Methods: We conducted a multicenter, cross-sectional study between June and December 2023 across fifteen certified stroke centers affiliated with general hospitals in Hubei Province, China. Data on sociodemographic characteristics, stroke knowledge and attitudes were collected using a structured, self-administered questionnaire. Multiple logistic regression analyses were performed to identify factors associated with prehospital delay. Results: A total of 1,870 AIS patients were included; 428 (22.9%) arrived within 3 h, and 704 (37.6%) within 6 h of symptom onset. Median prehospital delay was 11.0 h (IQR: 4.0-30.0). Multivariate logistic regression analysis revealed that higher stroke knowledge scores (adjusted OR, 1.15; 95% CI, 1.09-1.21) and higher stroke attitude scores (adjusted OR, 1.26; 95% CI, 1.18-1.33) were significantly associated with earlier arrival. Additional predictors included experiencing stroke onset at a location within 20 km of the hospital (adjusted OR, 2.50; 95% CI, 1.87-3.34), sudden progression of symptoms (adjusted OR, 2.64; 95% CI, 2.05-3.39), NIHSS score ≥6 at admission (adjusted OR, 1.34; 95% CI, 1.02-1.75), and arrival by ambulance (adjusted OR, 1.99; 95% CI, 1.48-2.68). Similar associations were observed for the 6-h threshold. Conclusion: Our findings highlight that greater stroke knowledge and positive attitudes significantly influence early hospital arrival in AIS patients. Sudden symptom onset, ambulance use, and shorter transfer distances also facilitate timely hospital arrival, whereas mild stroke contribute to delays. Thus, future stroke interventions should take these characteristics into account, which might ultimately help to promote earlier hospital arrival.

Indexed as

acute ischemic strokeChinaprehospital delaystroke attitudesstroke knowledge

Identifiers

PMID41079357
PMCPMC12508484

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