Assessing awareness and use of mobile phone technology for health and wellness: Insights from India

Pai, Rajesh R.; Alathur, Sreejith

doi:10.1016/j.hlpt.2019.05.011

Cited by 39 publications

(22 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…One reason we involved E-Govt and online social presence in our research model is that a noteworthy difference was identified the in analysis of awareness about the use of mobile phones to seek health information during critical times [35]. Awareness promotion plays an important role in burn cases [36].…”

Section: Role Of E-govtmentioning

confidence: 99%

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Yasir

Ahmad

et al. 2020

IJERPH

View full text Add to dashboard Cite

Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications. health protection. This phenomenon encouraged us to formulate a theoretical model based on social presence theory and the role of social media to help examine safety and participation in quarantine. The conceptual model is presented in Figure 1.Word of mouth can be defined as "the intention to share a certain story using one's own social media account" [2]. Many researchers proved that communication has more of an impact through social media with regards to different health issues, and message sharing was found to be the best predictor of emotive and passionate response [3]. Online health information is regularly updated [4]. Nowadays, universal and worldwide flow cannot be ignored [5] and search engines are the most effective method to find information [6]. The Internet is also a useful source for people in the medical field for discussions and interactions about medical issues [7]. A nine-year big data study showed that the use of computers projected emotive improvement [8]. From the health protection point of view, many factors were found to affect the dispersal of cancer information, including anxiety, courage, anticipation, and sharing of experience [9].A study proved that the gestation time of infection (corona virus) was assessed at about 2-14 days [7]. So, a research question was raised about protection during an epidemic outbreak. Social media campaigns with complete research frameworks with theoretical and statistical support for these time periods are essentially to protect society during emergencies. To address this need, our research model includes the factors that trigger safety campaigns and the main effects (direct) of direct relations and the association of mediators on online social presence.The literature shows that for different disease management programm...

show abstract

Section: Role Of E-govtmentioning

confidence: 99%

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Yasir

Ahmad

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…The adoption of telemedicine health services are cost-effective, efficient, time-saving and free from errors (Atanasovski et al 2018;Y. Li et al 2019;Pai and Alathur 2019). Telemedicine is referred as 'medical practice to diagnose, consult, educate and transfer of medical data using information communication technologies (ICT) as a mode of communication' (Abdalla 2019;Albarrak et al 2019;Pai and Alathur 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Li et al 2019;Pai and Alathur 2019). Telemedicine is referred as 'medical practice to diagnose, consult, educate and transfer of medical data using information communication technologies (ICT) as a mode of communication' (Abdalla 2019;Albarrak et al 2019;Pai and Alathur 2019). Several researchers have confirmed that telemedicine services through information and communication technology save time, money and bring effectiveness in health delivery system (Albarrak et al 2019;Hollander and Carr 2020;Hsu 2019;Pai and Alathur 2019;Tsiouris et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Telemedicine is referred as 'medical practice to diagnose, consult, educate and transfer of medical data using information communication technologies (ICT) as a mode of communication' (Abdalla 2019;Albarrak et al 2019;Pai and Alathur 2019). Several researchers have confirmed that telemedicine services through information and communication technology save time, money and bring effectiveness in health delivery system (Albarrak et al 2019;Hollander and Carr 2020;Hsu 2019;Pai and Alathur 2019;Tsiouris et al 2020). Despite several benefits which telemedicine applications offer to patients and physicians, the adoption of telemedicine health services is still in its initial stages (Alaboudi et al 2016; Barlow et al 2007;Hsu 2019;Kashyap 2020).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model

Rahi

Khan

Alghizzawi

2020

Enterprise Information Systems

114

View full text Add to dashboard Cite

“…We can use perceived usefulness to measure attitude, perceived ease of use to measure satisfaction, and behavioral intention to measure interest and importance to evaluate mobile health applications [16]. Awareness of devices and health information plays an important role in influencing how users rate mobile health applications [17]. Flexibility; performance; competency; learnability; completeness; information; other outcomes; error prevention; flexibility can be used to evaluate the usability of mobile health applications [18].…”

Section: Evaluation Index Of Mobile Health Applicationmentioning

confidence: 99%

Where Should Mobile Health Application Providers Focus Their Goals?

Wang¹,

Du²,

Zhang³

2021

IJCIS

View full text Add to dashboard Cite

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.

show abstract

Assessing awareness and use of mobile phone technology for health and wellness: Insights from India

Cited by 39 publications

References 13 publications

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model

Where Should Mobile Health Application Providers Focus Their Goals?

Contact Info

Product

Resources

About