Zhaohua Deng1, Shan Liu2. 1. School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, 430030, China. 2. School of Management, Xi'an Jiaotong University, Xi'an, 710049, China. Electronic address: shan.l.china@gmail.com.
Abstract
OBJECTIVE: This study integrates the risk perception attitude framework and social support to examine factors influencing consumers' intentions to seek health information in mobile social media websites. METHOD: We develop a research model consisting of four social support dimensions, perceived health risk, health self-efficacy, and health information-seeking intention. A survey is conducted among patients with non-serious conditions. A two-step approach of structural equation modeling is used to test the research model. RESULTS: Among the four dimensions of social support, tangible support and appraisal support significantly influence perceived risk, whereas emotional support and esteem support significantly influence health self-efficacy. Perceived health risk and health self-efficacy significantly influence the health information-seeking behavior intention of consumers. Specifically, health self-efficacy significantly moderates the relationship between perceived risk and behavior intention. CONCLUSIONS: This study highlights the integrated effects of social capital and risk perception attitude framework on health information-seeking intention. It examines relationships among perceived health risk, health self-efficacy, and behavior intention in the mobile social media context. The findings help understand effects of social capital factors on perceived health risk and health self-efficacy.
OBJECTIVE: This study integrates the risk perception attitude framework and social support to examine factors influencing consumers' intentions to seek health information in mobile social media websites. METHOD: We develop a research model consisting of four social support dimensions, perceived health risk, health self-efficacy, and health information-seeking intention. A survey is conducted among patients with non-serious conditions. A two-step approach of structural equation modeling is used to test the research model. RESULTS: Among the four dimensions of social support, tangible support and appraisal support significantly influence perceived risk, whereas emotional support and esteem support significantly influence health self-efficacy. Perceived health risk and health self-efficacy significantly influence the health information-seeking behavior intention of consumers. Specifically, health self-efficacy significantly moderates the relationship between perceived risk and behavior intention. CONCLUSIONS: This study highlights the integrated effects of social capital and risk perception attitude framework on health information-seeking intention. It examines relationships among perceived health risk, health self-efficacy, and behavior intention in the mobile social media context. The findings help understand effects of social capital factors on perceived health risk and health self-efficacy.
Authors: Abdullah Al Mamun; Muhammad Khalilur Rahman; Qing Yang; Taslima Jannat; Anas A Salameh; Syed Ali Fazal Journal: Front Public Health Date: 2022-07-04
Authors: Joseph Featherall; Brittany Lapin; Alexander Chaitoff; Sonia A Havele; Nicolas Thompson; Irene Katzan Journal: J Med Internet Res Date: 2018-04-19 Impact factor: 5.428