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在线健康信息搜索:对高血压自我管理的影响
Authors Liu S , Huang S , Xiao Y, Huang J
Received 12 May 2025
Accepted for publication 30 August 2025
Published 9 September 2025 Volume 2025:18 Pages 2951—2965
DOI https://doi.org/10.2147/RMHP.S539905
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Kyriakos Souliotis
Shiya Liu,1,2 Sufang Huang,1 Yaru Xiao,1 Jingjing Huang1,2
1Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People’s Republic of China; 2School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People’s Republic of China
Correspondence: Sufang Huang, Email huangsufang@tjh.tjmu.edu.cn
Background: Hypertension, a major cardiovascular disease risk factor, is a global public health challenge. Self-management is key, and with information and communication technology prevalence, online health information seeking behavior (OHISB) has become a common trend to boost patients’ self-management.
Purpose: This study aims to explore hypertensive patients’ OHISB and their impact on self-management practices, providing a basis for further improving patients’ OHISB and self-management behaviors.
Patients and Methods: This study selected 312 hypertensive patients from the Cardiology Department of a Wuhan tertiary hospital (March-April 2025), using a general information questionnaire, revised version of the Online Health seeking behavior Scale (OHB-S) and the Hypertension Patients Self-Management Behavior Rating Scale (HPSMBRS) for surveys. SPSS 26.0 did descriptive analysis of enumeration/measurement data; t-tests/ANOVA analyzed group differences; multiple linear regression examined OHISB-influencing factors; Pearson correlation and hierarchical regression explored relationships between OHISB and self-management.
Results: The total scores of OHISB and self-management were (55.20± 14.29) and (96.54± 16.62) respectively in the patients. The total scores of OHISB and self-management were significantly positively correlated (r=0.634, P< 0.05). The results of hierarchical regression analysis show that OHISB is an important influencing factor of self-management and can independently explain 21.2% of the variation in patients’ self-management.
Conclusion: Both the OHISB and self-management behaviors of hypertensive patients are at a relatively low level. OHISB is an important influencing factor of self-management. Hypertensive patients with a higher level of OHISB have a higher level of self-management. In the future, information sources should be carefully controlled, and a variety of online health information channels should be combined to provide targeted online hypertension health education, thereby enhancing the self-management capabilities of hypertension patients.
Keywords: hypertension, online health information seeking behavior, self-management