文献类型：期刊文献

英文题名：Factors that influence users' adoption intention of mobile health: a structural equation modeling approach

作者：Miao, Rui[1];Wu, Qi[1];Wang, Zheng[1];Zhang, Xilin[1];Song, Yuqin[2];Zhang, Hui[3];Sun, Qingfang[4,5];Jiang, Zhibin[1]

机构：[1]Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Social & Publ Adm Sch, Shanghai, Peoples R China;[3]Univ Chicago, Ctr Hlth & Social Sci, Chicago, IL 60637 USA;[4]Shanghai Jiao Tong Univ, Sch Med, Ruijin Hosp, Dept Neurosurg, Shanghai, Peoples R China;[5]Shanghai Jiao Tong Univ, Sch Med, Ruijin Hosp, Dept Neurosurg,Luwan Branch, Shanghai, Peoples R China

年份：2017

卷号：55

期号：19

起止页码：5801

外文期刊名：INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

收录：;EI(收录号：20172403788478);WOS:【SSCI(收录号:WOS:000406560800017)，SCI-EXPANDED(收录号:WOS:000406560800017)】；

基金：The work was financially supported by the National Natural Science Foundation of China [grant number 71432006], [grant number 51435009].

语种：英文

外文关键词：mobile health; adoption intention; patients with chronic disease; structural equation modeling; house of quality; TRIZ method

摘要：Mobile health represents the future trend of health care due to its great potential in improving health care efficiency, accessibility and quality. It is particularly beneficial for chronic disease patients who require long-term and regular services. To improve the products, mobile health developers need to understand patient needs, values and preferences, and assess the key factors that influence their mobile health adoption intentions. This study focuses on identifying the influential factors of patients' adoption intention of m-Health. A structural equation model is constructed, and the confirmatory factor analysis and standard path coefficient are used to explore the key factors in chronic disease patients' adoption process of m-Health. The results show that perceived usefulness and perceived ease of use have the strongest positive effect on patients' adoption intention. Meanwhile, subjective norm, existing degree of satisfaction, network effect, and cost factor also influence adoption intention. Finally, the House of Quality method is used to examine the relative importance of various properties of m-Health. The Teoriya Resheniya Izobreatatelskikh Zadatch method is applied to resolve the contradictions between these properties. Our study offers important insights for mobile health developers on how to optimally design a product, thereby increasing users' adoption intention and overall satisfaction.