Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory

健康素养 健康信念模型 适度 信息搜寻 健康传播 社会支持 人口 医疗保健 健康信息全国趋势调查 心理学 医学 慢性病 慢性病 疾病 临床心理学 健康教育 社会心理学 公共卫生 健康信息 家庭医学 环境卫生 护理部 病理 图书馆学 经济 经济增长 沟通 计算机科学
作者
Yuxiang Zhao,Mengyuan Zhao,Shijie Song
出处
期刊:Journal of Medical Internet Research [JMIR Publications]
卷期号:24 (11): e42447-e42447 被引量:32
标识
DOI:10.2196/42447
摘要

Background Chronic diseases are the leading causes of death and disability. With the growing patient population and climbing health care expenditures, researchers and policy makers are seeking new approaches to improve the accessibility of health information on chronic diseases while lowering costs. Online health information sources can play a substantial role in effective patient education and health communication. However, some contradictory evidence suggests that patients with chronic conditions may not necessarily seek online health information. Objective This study aims to integrate 2 theories (ie, the health belief model and social support theory) and a critical health literacy perspective to understand online health information seeking (OHIS) among patients with chronic conditions. Methods We used the survey method to collect data from online chronic disease communities and groups on social media platforms. Eligible participants were consumers with at least 1 chronic condition and those who have experience with OHIS. A total of 390 valid questionnaires were collected. The partial least squares approach to structural equation modeling was employed to analyze the data. Results The results suggested that perceived risk (t=3.989, P<.001) and perceived benefits (t=3.632, P<.001) significantly affected patients’ OHIS. Perceived susceptibility (t=7.743, P<.001) and perceived severity (t=8.852, P<.001) were found to influence the perceived risk of chronic diseases significantly. Informational support (t=5.761, P<.001) and emotional support (t=5.748, P<.001) also impacted the perceived benefits of online sources for patients. In addition, moderation analysis showed that critical health literacy significantly moderated the link between perceived risk and OHIS (t=3.097, P=.002) but not the relationship between perceived benefits and OHIS (t=0.288, P=.774). Conclusions This study shows that the health belief model, when combined with social support theory, can predict patients’ OHIS. The perceived susceptibility and severity can effectively explain perceived risk, further predicting patients’ OHIS. Informational support and emotional support can contribute to perceived benefits, thereby positively affecting patients’ OHIS. This study also demonstrated the important negative moderating effects of critical health literacy on the association between perceived risk and OHIS.
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