Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/5633
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dc.contributor.authorProf. LEUNG Wing Chi, Louisen_US
dc.contributor.authorChen, Chengen_US
dc.date.accessioned2019-03-04T06:58:57Z-
dc.date.available2019-03-04T06:58:57Z-
dc.date.issued2019-
dc.identifier.citationTelecommunications Policy, July 2019, vol. 43(6), pp. 563-575.en_US
dc.identifier.issn0308-5961-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/5633-
dc.description.abstractThis purpose of this study was to investigate (a) the prevalence and patterns of e-health/m-health use in Hong Kong; (b) the activities that people engage in via health-related information platforms/apps; and (c) the roles that technology readiness, the expectation-confirmation model, and e-health/m-health activities play in predicting lifestyle improvement. Data were collected from a telephone survey, with a probability sample of 1,007 respondents aged 18 or above. Our results show that 47.2% of the respondents were regular users of e-health technologies, 23.2% were m-health users, and only 10.7% used wearables for health purposes. Among the six e-health/m-health activities identified, health tutorials and health information seeking were the most frequently used, followed by recording/monitoring and medical services. The least popular activities were reminders and sharing experiences. As expected, the component variables in the expectation-confirmation model, particularly confirmation and perceived usefulness, were the strongest predictors for lifestyle improvement. External factors, such as being older and innovative, the use of e-health/m-health activities for recording/monitoring, health tutorials, medical services, and sharing experiences, also had significant impacts. Theoretical and practical implications are discussed.en_US
dc.language.isoenen_US
dc.relation.ispartofTelecommunications Policyen_US
dc.titleE-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activitiesen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1016/j.telpol.2019.01.005-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Journalism & Communication - Publication
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