Mobile Technologies and Healthy Ageing: A Bibliometric Analysis on Publication Trends and Knowledge Structure of mHealth Research for Older Adults

Tajudeen, Farzana Parveen; Bahar, Nurhidayah; Pin, Tan Maw; Saedon, Nor Izzati

doi:10.1080/10447318.2021.1926115

Cited by 25 publications

(11 citation statements)

References 61 publications

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“…Setting customized goals, notifications and reminders, and access to health information are the second most important features for users [ 20 ]. In addition, mobile technologies provide users with adaptive, low-cost, and easily accessible self-management interventions [ 21 , 22 , 23 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing Continued Usage Behavior on Mobile Health Applications

Zhang

Zhu

et al. 2022

Healthcare

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(1) Background: As people pay more attention to health, mobile health applications (mHealth apps) are becoming popular. These apps offer health services that run on mobile devices to help improve users’ health behaviors. However, few studies explore what motivates users to continue to use these apps. This study proposes antecedents influencing users’ electronic satisfaction (e-satisfaction) and their continued behaviors of using mHealth apps. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study constructs a research model including perceived reliability and online review to predict the continued usage behavior on mHealth apps in China; (2) Methods: We conduct an online survey to collect data from participants who have used mHealth apps. This study receives 327 valid responses and tests the research model using the partial least squares structural equation model approach; (3) Results: Our results find that antecedents positively affect continued usage intention through the mediation role of e-satisfaction with mHealth apps. Interestingly, this study reveals that habit positively affects the continued usage behavior and moderates the effect of e-satisfaction and continued intention of using mHealth apps; (4) Conclusions: This study presents theoretical implications on the extended UTAUT2 and provides practical implications understanding of managing mHealth apps in China.

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Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing Continued Usage Behavior on Mobile Health Applications

Zhang

Zhu

et al. 2022

Healthcare

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“…In this regard, qualitative research provides opportunities to explore end-user’s experiences and get detailed information about how they perceive user engagement via in-depth interviews (Song et al, 2021). Therefore, the end-user’s usage of mHealth applications and the behavioral approach’s mechanism to utilize mHealth continue to be debated and require more research (Glomsås et al, 2021; Tajudeen et al, 2022). Varshney (2014b), however, indicated that mHealth is affected by a variety of challenges in developing countries, including infrastructure shortage, end-user’s education, conventional treatment therapies, cultural, and social resistance.…”

Section: Introductionmentioning

confidence: 99%

“…The number of mHealth research increased significantly between 2011 and 2020 (Tajudeen et al, 2022). Several reports have shown that mobile devices such as smartphones and tablets in the provision of healthcare services are becoming more common practice (Sezgin et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Re-Conceptualizing the Drivers Toward mHealth Adoption in a Least Developing Country: A Qualitative Exploration

2022

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Despite the recent proliferation of mHealth, the present research has not yet re-conceptualized on how mHealth can be used to promote healthcare over time. Researches have indicated that mHealth adoption and acceptance problems must be re-addressed to provide improved healthcare delivery. It is essential to explore the end-user centric factors for the complex implications process of mHealth before implementing it in practice. This research aims to re-conceptualize the contextual predictors of mHealth adoption in a least developing country. In-depth interviews with purposive and convenient sampling techniques were conducted with end-users ( n = 24) and healthcare professionals ( n = 15) in Bangladesh because qualitative research provides opportunities to explore end-user experiences and get detailed information about how they perceive user engagement in technology adoption. This study used grounded theory and thematic analysis to explain the state of mHealth adoption and to establish a theoretical basis for further investigations. Our findings indicate that traditional predictors for mHealth intention to use might not be enough. This study suggested four new predictors: “patients as a decision support unit,” “personal awareness building,” “health information exchange,” and “reward” to re-conceptualize the mHealth adoption. The study tried to clarify mHealth drivers from both end-users’ and healthcare professionals’ perspectives, which offered an alternative avenue that could provide the foundation for accepting mHealth widely.

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“…Previous bibliometric studies have investigated general aspects of aging, namely, aging or oldest age or geriatric (Lund and Wang, 2020 ; Gonzalez-Alcaide et al, 2021 ), healthy aging (Gu et al, 2019 ), aging in combination with other issues such as reception by the scientific community (Glänzel and Schoepflin, 1995 ), physical therapy (Arnal-GÓmez et al, 2020 ), geriatric nursing (Ghamgosar et al, 2021 ), mobile technologies (Tajudeen et al, 2022 ), safety in-home care (Cao et al, 2021 ), subjective well-being (Dominko and Verbič, 2019 ), and specific to aging policies in China (Nan et al, 2020 ). This bibliometric analysis and network visualization, on the other hand, was carried out to explore the literature on cognitive aging in the Scopus database.…”

Section: Introductionmentioning

confidence: 99%

Profiling the Research Landscape on Cognitive Aging: A Bibliometric Analysis and Network Visualization

Othman

Halim

Azman

et al. 2022

Front. Aging Neurosci.

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ObjectivesThis study aimed to profile the cognitive aging research landscape from 1956 to 2021.MethodsA total of 3,779 documents were retrieved from the Scopus database for the bibliometric analysis and network visualization. By comparing each keyword’s overall connection strength (centrality), frequency (density), and average year of publication (novelty) to the calculated median values acquired from the overlay view of the VOSviewer map, the enhanced strategic diagrams (ESDs) were constructed.ResultsThe findings showed an increasing trend in the number of publications. The United States leads the contributing countries in cognitive aging research. The scientific productivity pattern obeyed Lotka’s law. The most productive researcher was Deary, I. J., with the highest number of publications. The collaborative index showed an increasing trend from 1980 onwards. Frontiers in Aging Neuroscience is the most prestigious journal in the field of cognitive aging research. In Bradford core journals zone 1, the top 10 core journals of cognitive aging research provided more than half of the total articles (697, or 55.36 percent).ConclusionsFor the next decades, the trending topics in cognitive aging research include neuropsychological assessment, functional connectivity, human immunodeficiency virus (HIV), decision-making, gender, compensation, default mode network, learning and memory, brain-derived neurotrophic factor (BDNF), obesity, D-galactose, epigenetics, frailty, mortality, mini-mental state examination (MMSE), anxiety, and gait speed.

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Mobile Technologies and Healthy Ageing: A Bibliometric Analysis on Publication Trends and Knowledge Structure of mHealth Research for Older Adults

Cited by 25 publications

References 61 publications

Factors Influencing Continued Usage Behavior on Mobile Health Applications

Factors Influencing Continued Usage Behavior on Mobile Health Applications

Re-Conceptualizing the Drivers Toward mHealth Adoption in a Least Developing Country: A Qualitative Exploration

Profiling the Research Landscape on Cognitive Aging: A Bibliometric Analysis and Network Visualization

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