“Attitude”- mHealth Apps and Users’ Insights: An Empirical Approach to Understand the Antecedents of Attitudes towards mHealth Applications

Vervier, Luisa; Valdez, André Calero; Ziefle, Martina

doi:10.5220/0007720002130221

Cited by 11 publications

(10 citation statements)

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“…We first examined differences in these preferences based on age by comparing emerging adults (19) and adults ages 26 to 65 years. Interestingly, there were largely no differences in the percentages of individuals within each age group who were interested in using the app or interested in specific features of the app despite previous findings suggesting that younger adults report greater willingness to use mHealth (14) and share data (16). The current results may differ from previous findings in that the current sample was relatively younger on average (M age =29.8, SD =10.7), and therefore, differences in interest, acceptability, and data sharing between the two age groups may not have been observed.…”

Section: Discussionmentioning

confidence: 62%

“…A better understanding of the acceptability of apps among the general population can help to inform development efforts of consumer-facing app. Recent qualitative research on the use, understanding, and acceptance of mHealth technology suggests that opinions on mHealth technology may not be consistent across participants, and interest may vary by demographic variables, such as age and gender (14)(15)(16). Adults between the ages of 18 and 25, or emerging adults, report the greatest willingness to share health data and endorse the belief that there are advantages to sharing data (16).…”

Section: Original Articlementioning

confidence: 99%

“…Recent qualitative research on the use, understanding, and acceptance of mHealth technology suggests that opinions on mHealth technology may not be consistent across participants, and interest may vary by demographic variables, such as age and gender (14)(15)(16). Adults between the ages of 18 and 25, or emerging adults, report the greatest willingness to share health data and endorse the belief that there are advantages to sharing data (16). In contrast to adults 25 years and older, emerging adults may be a suitable target population for gait detection apps as they engage in heavy episodic drinking and alcohol-impaired driving (17), while also reporting frequent use of mobile phones (15).…”

Section: Original Articlementioning

confidence: 99%

“…Similarly, utilization of mHealth technology may vary by gender. For example, women report greater mHealth literacy as compared to males (16), which may be associated with greater interest in utilization of mHealth applications.…”

Section: Original Articlementioning

confidence: 99%

See 3 more Smart Citations

User-centered preferences for a gait-informed alcohol intoxication app

Borges¹,

Caviness²,

Abrantes³

et al. 2023

mHealth

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Background: mHealth technology can be used as a potential intervention for alcohol-related consequences.Applications designed to monitor alcohol use and relay information to the user may help to reduce risky behavior. Acceptability of such applications needs to be assessed.Methods: Survey data from 139 participants (29.8 years on average, 58% female) completing a singlesession study for developing an application to detect blood alcohol concentration (BAC) from gait was analyzed to examine user preferences. Participants reported on their interest in an application for monitoring BAC from gait. Participants also reported on their preference for controlling features of the application.Acceptability and feasibility data were collected. Data were examined for the entire sample as well as differences in preference by age and gender were examined. Results:The majority of the sample indicated that they were interested in using an mHealth application to infer BAC from their gait. Users were interested in being able to control features of the application, such as monitoring BAC and reporting information to other individuals. Adults, as compared to emerging adults, preferred the ability to turn off the BAC-monitoring feature of the app. Females reported a preference for an app that does not allow the user to turn off notifications for BAC as well as safety features of the app.Conclusions: Results of the survey data indicate general interest in mHealth technology that monitors BAC from passive input. These results suggest that such an app may be accepted and used as an intervention for monitoring alcohol levels, which could mediate drinking and alcohol-related consequences.

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Section: Discussionmentioning

confidence: 62%

Section: Original Articlementioning

confidence: 99%

Section: Original Articlementioning

confidence: 99%

Section: Original Articlementioning

confidence: 99%

See 2 more Smart Citations

User-centered preferences for a gait-informed alcohol intoxication app

Borges¹,

Caviness²,

Abrantes³

et al. 2023

mHealth

View full text Add to dashboard Cite

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“…7 Some of the papers are included in multiple categories due to an overlap in contributions 8 4 of those papers (4/37) were defined as models Next, we discuss the health conditions covered in the included papers, followed by the privacy and security regulations that they refer to. [6], [8], [17], [22], [23], [27], [41], [51]- [68] General focus (n=18) [2], [21], [24] [3], [4], [12], [76], [80], [81], [92], [96]- [110] S/P focused design features and recommendations (n=16) [7], [25], [28], [51], [54], [57], [59], [66], [93]- [95], [111]- [114] 1) Target health conditions…”

Section: Iv1 Study Selection and Data Extractionmentioning

confidence: 99%

Security and Privacy of mHealth Applications: A Scoping Review

2020

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While digital health or mHealth applications (apps) have become accessible resources for the support of personal health, the privacy and security of users' data have been the subject of concern and controversy. As large numbers of mHealth apps are created and are increasingly widely used by people with various health conditions, it is crucial to have clear and valid methods for evaluating the data practices within them. Recent regulatory initiatives such as the European Union's General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) have had the effect of raising awareness and establishing a minimal set of expectations. However, they do not in themselves address the issue of the development of systems which meet privacy and security requirements. There is a growing body of research on evaluation techniques and frameworks to support the assessment of the privacy and security of health apps, and guidelines to support their design. However, it can be challenging to navigate this space and choose appropriate techniques for a given context. Addressing this issue, this paper examines the recent literature on security and privacy of m-Health applications, using a scoping review methodology. It analyses data security and privacy evaluation techniques and frameworks that have been proposed for mHealth applications, as well as relevant research-based design recommendations. This work consolidates recent research on the topic to support researchers, app designers, end users, and healthcare professionals in designing, evaluating, recommending and adopting mHealth applications.

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