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Study on the influencing factors of pre-hospital delay behavior intention among high-risk stroke population from the perspective of health communication

Published on Apr. 01, 2026Total Views: 13 timesTotal Downloads: 2 timesDownloadMobile

Author: CHEN Jing 1, 2 CHEN Meigui 3 FU Dou 4 OUYANG Yanqiong 1

Affiliation: 1. School of Nursing, Wuhan University, Wuhan 430071, China 2. Department of Emergency, Tongji Hospital Affiliated Tongji Medical School, Huazhong University of Science and Technology, Wuhan 430030, China 3. Department of Neurological, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 4. Department of General Practice, People's Hospital of Wuhan University, Wuhan 430060, China

Keywords: Stroke High-risk population Health communication Pre-hospital delay Behavior intention

DOI: 10.12173/j.issn.1004-5511.202510139

Reference: Chen J, Chen MG, Fu D, et al. Study on the influencing factors of pre-hospital delay behavior intention among high-risk stroke population from the perspective of health communication[J]. Yixue Xinzhi Zazhi, 2026, 36(3): 289-296. DOI: 10.12173/j.issn.1004-5511.202510139. [Article in Chinese]

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Abstract

Objective  To explore the current status of health communication and intentions regarding pre-hospital delay among high-risk groups for stroke, and to analyze the impact of health communication on these intentions.

Methods  A convenient sampling method was used to collect data using a general information questionnaire, a health communication survey, and the Stroke Pre-hospital Delay Behavior Intention for high-risk stroke populations in three communities in Wuhan.

Results  A total of 367 valid questionnaires were retrieved. Of 367 valid questionnaires, 50.14% showed a moderate intention for pre-hospital delay behavior, 48.77% of the respondents considered relatives and friends as their main health information disseminators. The primary dissemination channel was the illness experiences of relatives and friends (53.13%). In terms of dissemination content, the majority of participants (98.37%) reported that “failure to receive timely treatment may result in a loss of self-care ability and thus resulting in a heavy family care burden.” 43.87% of respondents received related information less than twice every six months. Multiple linear regression analysis indicated that different types of disseminators, channels of receiving information, media platforms for receiving information, frequency and presentation of receiving information, as well as dissemination content, are influencing factors of the stroke pre-hospital delay behavior intention.

Conclusion  It’s necessary to improve health communication and reduce the stroke pre-hospital delay behavior intention among high-risk stroke populations. From the perspective of health communication, targeted, differentiated, and effective health communication strategies should be formulated for high-risk stroke populations to lower the intention of pre-hospital delay behaviors, thereby promoting the prevention and control of stroke.

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