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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/9422
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dc.contributor.authorSun, Mengru (孫梦如)en_US
dc.date.accessioned2021-04-14T03:38:48Z-
dc.date.available2021-04-14T03:38:48Z-
dc.date.issued2019en_US
dc.identifier.citationSun, M. (2019). Interpersonal influences on self-management in the eHealth era: Predicting the uses of eHealth tools for self-care in America (Outstanding Academic Papers by Students (OAPS), City University of Hong Kong).en_US
dc.identifier.othercom2020-8007-sm969en_US
dc.identifier.urihttp://dspace.cityu.edu.hk/handle/2031/9422-
dc.description.abstractDrawing on the social cognitive theory and the comprehensive model of information seeking, this study proposes a theoretical framework that systematically examines the role of interpersonal factors in individuals’ self-management in the eHealth context. The framework was tested with a sample of 965 eHealth users drawn from the National Cancer Institute’s 2018 Health Information National Trends Survey. Structural equation modeling was performed to model the relationships among patient-centered communication, social support, self-efficacy, perceptions of eHealth tools, and eHealth behaviors. The results established social support and patient-centered communication as two important sources of self-efficacy. Self-efficacy together with characteristics of eHealth tools were associated with higher utility of eHealth tools, which further predicted higher levels of eHealth behaviors. The results show that incorporating interpersonal factors in health interventions may enhance the targets’ self-efficacy in self-management and indirectly motivates eHealth behaviors.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is unrestricted.en_US
dc.titleInterpersonal influences on self-management in the eHealth era: predicting the uses of eHealth tools for self-care in Americaen_US
dc.contributor.departmentDepartment of Media and Communicationen_US
dc.description.courseCOM8007 Multivariate Analysis in Communication Researchen_US
dc.description.programmePhD in Media and Communicationen_US
dc.description.supervisorDr. Jiang, Li Crystalen_US
Appears in Collections:OAPS - Dept. of Media and Communication 

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