2013
DOI: 10.4258/hir.2013.19.3.167
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Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

Abstract: ObjectivesTo improve and promote mobile health monitoring services, this study investigated the perception of various factors influencing the acceptance of services between users and non-users.MethodsThis study drew 9 variables from studies related to mobile health monitoring services and the unified theory of acceptance and the use of technology model. A total of 219 samples were collected by a paper-based survey from users (n = 106) and non-users (n = 113). Analysis was carried out using a two-independent sa… Show more

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Cited by 70 publications
(56 citation statements)
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“…Furthermore, Line has considerable functional, emotional, social and monetary value (Legris et al . , Lee & Rho ).…”
Section: Discussionmentioning
confidence: 98%
“…Furthermore, Line has considerable functional, emotional, social and monetary value (Legris et al . , Lee & Rho ).…”
Section: Discussionmentioning
confidence: 98%
“…A framework to support the necessary changes needs to be developed, including conceptualisation of patient education in multi-morbidity, encompassing the qualification of the educator, the process of providing education and its evaluation, and the scope of interaction with the care team; as well as legal clarity on information security and privacy, professional liability and remuneration of providers’ performance. Lack of a global implementation plan that includes consultations with the stakeholders and the introduction of appropriate organisational and financial measures are believed to limit the adoption of telecare solutions [28, 29]. …”
Section: Discussionmentioning
confidence: 99%
“…Because individuals' mobile activities and motivations to use mobile health apps are extremely varied, it is challenging to investigate their use through traditional surveys. Consequently, research has primarily measured mobile health app use by examining one specific health app in depth or by looking at aggregated mobile health use, for instance by assessing general usage of health apps as one outcome variable (e.g., Lee and Rho 2013;Carroll et al 2017). Although different mobile health apps might provide similar features, they also offer distinct features addressing different goals and targeting different groups that could affect usage.…”
Section: Explaining Differences In Mobile Health App Usementioning
confidence: 99%