The routine use of mobile health services in the presence of health consciousness

Meng, Fanbo; Guo, Xitong; Peng, Zeyu; Zhang, Xiaofei; Vogel, Doug

doi:10.1016/j.elerap.2019.100847

Cited by 51 publications

(49 citation statements)

References 63 publications

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“…Finally, the path analysis showed that health consciousness had no direct effect on the intention to use WTDs. Our findings show that health consciousness is not an influencing factor, which is inconsistent with other studies on the adoption of health technologies (Jaana et al, ; Meng et al, ). While wearables are improving how we measure our health, with different sensor devices, there may be an issue with consumer confidence in the interpretation of the results.…”

Section: Discussioncontrasting

confidence: 99%

“…By engaging with the technology, consumers also have access to more efficient and thorough visits or livechats with their health care providers. Furthermore, recent research suggests that health consciousness is an important factor in predicting a variety of health behaviours (Meng, Guo, Peng, Lai, & Vogel, ). Therefore, we hypothesize:H9 Health Consciousness positively affects the intention to use WTDs.…”

Section: Theoretical Foundation and Research Modelmentioning

confidence: 99%

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Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

2019

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This research seeks to identify the barriers and factors associated with adopting wearable technology devices (WTDs) for managing personal health. Based on a partial least square (PLS) analysis of 277 US‐based residents, the findings demonstrate that performance expectancy, social influence, facilitating conditions, hedonic motivation, habit, and personalization are significant predictors of consumers' intention to use WTDs. Interestingly, price value, privacy concerns, and health consciousness are not significant. This study will inform future research on WTDs in personal health management. Theoretical and practical implications of the study are also presented.

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Section: Discussioncontrasting

confidence: 99%

Section: Theoretical Foundation and Research Modelmentioning

confidence: 99%

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

2019

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“…Flexibility; performance; competency; learnability; completeness; information; other outcomes; error prevention; flexibility can be used to evaluate the usability of mobile health applications [18]. It has been proved that the quality of information and the credibility of sources played a great role in the evaluation of mobile health applications [19]. Privacy also plays an important role, patients want hospitals to assist them with high efficiency without revealing patients' identities [20].…”

Section: Evaluation Index Of Mobile Health Applicationmentioning

confidence: 99%

Where Should Mobile Health Application Providers Focus Their Goals?

Wang¹,

Du²,

Zhang³

2021

IJCIS

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In the context of "Internet +" medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications are those aged 24 to 35. Thus, it is particularly important to study the preferences of young people for mobile health applications. Therefore, this study established a domain-adaptive mobile health application evaluation model based on users' experience, and used an interactive algorithm combining machine learning and Delphi method to calculate the weight distribution of evaluation factors. Compared with previous studies, the evaluation index based on user experience of youth group is established. On the one hand, we have a targeted understanding of the use characteristics of the youth group and subdivide the market of mobile health applications; on the other hand, we establish evaluation indexes based on user experience, which is more in line with the customer-oriented product service concept. At the same time, the mobile health application evaluation system established in this study adopts human-computer interaction, which can not only ensure efficiency, but also add expertise in the field to make the results more accurate.

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“…Alongside numerous governmental agencies around the world, the research community has also begun devoting their effort to eHealth-related topics (e.g. technology in health care, welfare technology, mobile health care and innovation of health care solutions) [6][7][8][9]. Although the digitalisation of health care services is often the focus of these projects, the complexity of eHealth initiatives often lead to failure or less-thanoptimal solutions [10,11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of eHealth Technology in Community Health Care: the complexity of stakeholder involvement

Nilsen

Stendal

Gullslett

2020

BMC Health Serv Res

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Background: The implementation of any technology in community health care is seen as a challenge. Similarly, the implementation of eHealth technology also has challenges, and many initiatives never fully reach their potential. In addition, the complexity of stakeholders complicates the situation further, since some are unused to cooperating and the form of cooperation is new. The paper's aim is to give an overview of the stakeholders and the relationships and dependencies between them, with the goal of contributing this knowledge to future similar projects in a field seeing rapid development. Methods: In this longitudinal qualitative and interpretive study involving eight municipalities in Norway, we analysed how eHealth initiatives have proven difficult due to the complexity and lack of involvement and integration from stakeholders. As part of a larger project, this study draws on data from 20 interviews with employees on multiple levels, specifically, project managers and middle managers; healthcare providers and next of kin; and technology vendors and representatives of the municipal IT support services. Results: We identified the stakeholders involved in the implementation of eHealth community health care in the municipalities, then described and discussed the relationships among them. The identification of the various stakeholders illustrates the complexity of innovative implementation projects within the health care domain-in particular, community health care. Furthermore, we categorised the stakeholders along two dimensions (externalinternal) and their degree of integration (core stakeholders, support stakeholders and peripheral stakeholders). Conclusions: Study findings deepen theoretical knowledge concerning stakeholders in eHealth technology implementation initiatives. Findings show that the number of stakeholders is high, and illustrate the complexity of stakeholders' integration. Moreover, stakeholder integration in public community health care differs from a classical industrial stakeholder map in that the municipality is not just one stakeholder, but is instead comprised of many. These stakeholders are internal to the municipality but external to the focal actor, and this complicating factor influences their integration. Our findings also contribute to practice by highlighting how projects within the health care domain should identify and involve these stakeholders at an early stage. We also offer a model for use in this context.

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The routine use of mobile health services in the presence of health consciousness

Cited by 51 publications

References 63 publications

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

Where Should Mobile Health Application Providers Focus Their Goals?

Implementation of eHealth Technology in Community Health Care: the complexity of stakeholder involvement

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