Consumer Attitude: Does It Influencing the Intention to Use mHealth?

Hussein, Zuhal; Fikry, Amily

doi:10.1016/j.procs.2017.01.231

Cited by 29 publications

(18 citation statements)

References 8 publications

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“…For age there is evidence that older age is associated with lower level of acceptance of mobile applications [13]. Previous results also indicated that attitude towards technology is an important antecedent of acceptance of mobile applications [13, 14]. The degree to which an individual is willing to try out any new mobile application is related to the intention to use [13].…”

Section: Discussionmentioning

confidence: 99%

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Kosterink

Hurmuz

Ouden

et al. 2020

Preprint

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Introduction: eHealth applications have been recognized as a valuable tool to reduce COVID-19s effective reproduction number. In this paper, we report on an online survey among Dutch citizens with the goal to identify antecedents of acceptance of a mobile application for COVID-19 symptom recognition and monitoring, and a mobile application for contact tracing. Methods: Next to the demographics, the online survey contained questions focussing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of acceptance of the two mobile applications we conducted multiple linear regression analyses. Results: In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD=17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an R2 of 0.141. The final model for the tracing app included the same predictors and had an R2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. Discussion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance.

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Section: Discussionmentioning

confidence: 99%

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Kosterink

Hurmuz

Ouden

et al. 2020

Preprint

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“…Mobile Health applications are easily approachable to every single individual having the android phone. According to (Hussein, Oon, & Fikry, 2017) The mobile technology features focus to manage health in the systematic and right direction. That also makes doctors allow the batter decisions about patient health.…”

Section: Descriptive Analysismentioning

confidence: 99%

“…Generally, the mHealth is very impressive but the resist to usage is a challenge. In Malaysia, the intention to use the mHealth related applications are still questionable, this is a big issue for business and academic purpose (Hussein et al, 2017).…”

Section: Descriptive Analysismentioning

confidence: 99%

A Systematic Literature Review Paper on Online Medical Mobile Applications in Malaysia

et al. 2020

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<p class="0abstract"><strong>Abstract—</strong>The introduction of mobile devices to the worldwide market has marvelous possible to disturb the way Health care is providing. In this paper, we will overview the work done in the five years from 2014 to 2018 in the field of mHealth in Research perspective. For that purpose, we choose the Scopus database to review the past research published on mHealth in Malaysia. For that purpose, the quantitative review has been observed in bibliometric analysis and a Qualitative review is done through systematic review in the order through PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis). After the selection of 58 papers, the process based on the different steps. In the first step, the corresponding to Microsoft excels in a descriptive analysis of the published literature on mobile Healthcare in the field of online Healthcare like the distribution of the year, distribution of subjects and distribution of the author. Quantitative studies are 15 in number collected from the past literature, the researcher used the quantitative method for measuring the results Quantitative research collects data that will be processed to understand the indicators, overall trends, and requirements of the market. The qualitative studies collected from past research were 27 in numbers, collected studies were processed on the excel sheet to find out the areas discussed in the past. Traditional Health Care of Malaysia is top of the list in the world, but the mHealth still needs to improve in the region. Past studies in the mHealth are discussing physical health and wearable devices in detail with connectivity to smartphones but serious diseases are cover in very some studies. Like diabetes and HIV apps and patient are not highlighted in the collected data. Patient record management and coordination with families are also part of some research studies and that is very important for recovery in some cases.</p>

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“…This may be important because the general attitude of older adults towards the PHR prior to its implementation might be an important factor, which exerts a large effect on actual usage behaviour. As studies like the research by Hussein show, there is a high correlation between attitude and intention to use in the context of new digital systems and technology in mHealth (19). A lack of helpful information and resulting frustration and confusion in the context of the PHR may compromise the positive attitude of older adults who actually see the PHR as an opportunity for improved healthcare.…”

Section: Discussionmentioning

confidence: 99%

Promoting Self-determined and Informed use of Personal Health Records (PHR) among Older Adults: Assessment of Attitudes Towards the PHR and Requirements for an eLearning Platform

Perotti

Steinert

2021

Preprint

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BackgroundIntegration and implementation of Personal Health Records (PHR) in the healthcare system offers the opportunity for improved care for patients. Older adults, who often face a larger number of chronic diseases, could particularly benefit from a transparent and improved healthcare process. However, confident and self-determined use of a PHR requires a high degree of digital and content-related competence. At the same time, older adults may have little experience of using digital technology. This study aimed to assess the attitudes of older adults towards the PHR and their requirements for development of an eLearning platform designed to enable older adults to use the PHR. MethodsTo answer the research questions, semi-structured interviews with older adults (aged ≥ 65 years) were conducted. A focus group was also set up, consisting of older adults. Sociodemographic data, previous knowledge about the PHR and willingness to use technology were additionally collected by using standardized validated questionnaires and self-developed questionnaires. ResultsWhile previous knowledge about the PHR was relatively low within the study population, general attitudes towards the PHR were mostly positive. The study participants mainly expressed hope for improved care, such as better communication and avoidance of duplicate examinations. At the same time, the potentially large amount of data in the system, as well as possible incomprehensibility of the content, were mentioned as concerning factors. In terms of requirements for the eLearning platform, usability was the aspect most frequently mentioned by the participants. The subjects emphasized that the platform should consider the requirements of older adults in particular. In terms of content, help with the use of the PHR and information about its general conception, as well as access authorization, were named. ConclusionWhile the general attitude of older adults towards the PHR was relatively positive, there is a high demand for an eLearning platform enabling the target group to successfully use the PHR. Such a platform could facilitate implementation of the PHR and help older adults to actively participate in their healthcare. During development, the specific needs of the target group should be considered to ensure accessibility and usability.

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Consumer Attitude: Does It Influencing the Intention to Use mHealth?

Cited by 29 publications

References 8 publications

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

A Systematic Literature Review Paper on Online Medical Mobile Applications in Malaysia

Promoting Self-determined and Informed use of Personal Health Records (PHR) among Older Adults: Assessment of Attitudes Towards the PHR and Requirements for an eLearning Platform

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