MyMedR

Displaying all 6 publications

Abstract:

Sort:

Age-related digital disparities, functional limitations, and social isolation: unraveling the grey digital divide between baby boomers and the silent generation in senior living facilities

Chee SY

Aging Ment Health, 2024 Apr;28(4):621-632.
PMID: 37424361 DOI: 10.1080/13607863.2023.2233454

OBJECTIVES: The onset of the digital age has sparked a significant age-related digital divide, detrimentally affecting older adults. The age-related digital disparities and the gray digital divide between the Baby Boomers and the Silent Generation in senior living facilities remains an exigent issue. This study explored the lived experiences of older adults as they confront the challenges posed by age-related digital disparities inherent in the gray digital divide in senior living facilities.
METHODS: In-depth, semi-structured interviews and observations were conducted with 28 older adults living in six senior living facilities in three urban locations. Moustakas's transcendental phenomenology was employed, and the Modified Stevick-Colaizzi-Keen method was used to analyze the data.
RESULTS: This study identified six main themes: barriers to connectivity, digital literacy, generational-rooted perceptions, navigating technology with functional limitations, social isolation, and end-of-life planning.
CONCLUSION: The gray digital divide disproportionately affects older adults in senior living facilities. The study emphasizes the need for tailored interventions and targeted support to address the specific needs of each cohort and reduce age-related disparities. Addressing these disparities has significant implications for academics, policy-makers, senior living accommodations, and technology developers.

Matched MeSH terms: Digital Divide*
Reducing intervention- and research-induced inequalities to tackle the digital divide in health promotion

König LM, Krukowski RA, Kuntsche E, Busse H, Gumbert L, Gemesi K, et al.

Int J Equity Health, 2023 Dec 04;22(1):249.
PMID: 38049789 DOI: 10.1186/s12939-023-02055-6

Social inequalities are an important contributor to the global burden of disease within and between countries. Using digital technology in health promotion and healthcare is seen by some as a potential lever to reduce these inequalities; however, research suggests that digital technology risks re-enacting or evening widening disparities. Most research on this digital health divide focuses on a small number of social inequality indicators and stems from Western, educated, industrialized, rich, and democratic (WEIRD) countries. There is a need for systematic, international, and interdisciplinary contextualized research on the impact of social inequality indicators in digital health as well as the underlying mechanisms of this digital divide across the globe to reduce health disparities. In June 2023, eighteen multi-disciplinary researchers representing thirteen countries from six continents came together to discuss current issues in the field of digital health promotion and healthcare contributing to the digital divide. Ways that current practices in research contribute to the digital health divide were explored, including intervention development, testing, and implementation. Based on the dialogue, we provide suggestions for overcoming barriers and improving practices across disciplines, countries, and sectors. The research community must actively advocate for system-level changes regarding policy and research to reduce the digital divide and so improve digital health for all.

Matched MeSH terms: Digital Divide*
Fulltext Malaysian government initiative of information communication technology to disabled people

Nur Ajrun Khalid, Rohana Yusof

Malaysian Journal of Social Sciences and Humanities, 2017;2(3):9-15.
MyJurnal

Information Communication Technology (ICT) is important to measure the development of the nation
and the people. Malaysia as a democratic nation has to deliver equal services to the people without any
boundaries and discrimination. Nowadays, knowledge of Information Communication Technology is
crucial and become one of the measurement tools to maximize work and task. Failure to catch up ICT
movement will cause digital divide, which is the phenomenon of gap exists between people who have
access to ICT and who did not have access. This paper aims to determine the government initiative in
terms of policy, law and regulations, infrastructure, support organization and training, whether it is
appropriate or inappropriate with the needs of disabled people.

Matched MeSH terms: Digital Divide
Fulltext Disabled people are left behind the information age: are the gap getting bigger?

Nur Ajrun Khalid, Rohana Yusof

Malaysian Journal of Social Sciences and Humanities, 2016;1(4):37-41.
MyJurnal

Rapid progress of Information Communication Technology (ICT) will accelerate the distribution of
information from government to the people; however the monopoly of technology ICT services will
lead to inequality of information distribution in between of normal people and disabled people.
Embrace with the inequality of ICT distribution directly make the group of disabled people left behind
at the information age, or the situation also known as digital divide. Hence, this article attempts to
identify and examine the issues facing by disabled people in order to catch up the fast diffusion of ICT.

Matched MeSH terms: Digital Divide
Fulltext Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust

Raza SH, Norin U, Ogadimma EC, Zaman U, Shah AA, Khan S, et al.

BMC Public Health, 2025 Mar 19;25(1):1064.
PMID: 40108565 DOI: 10.1186/s12889-025-22082-y

BACKGROUND: World Health Organization (WHO) identified noncommunicable diseases as the foremost risk to public health globally and the cause of approximately 80% of premature deaths. However, Cardiovascular diseases account for most of these premature deaths and established threats to public health. Recently, digitization of health consultancy services through mHealth (e.g., mobile applications) using artificial intelligence (AI)-enabled Internet of Things has notably facilitated the accessibility of expert advice and continuous monitoring of Cardiac health on public health matters, making it more convenient for adoption in recent times. Nonetheless, scant attention has been paid to how digital media might encourage the adoption of digitally based health consulting services while accounting for the current IoT, Digital Divide, and Individual Trust conditions. Given this status quo, this study contributes to the body of literature by delving into an unexplored evaluation of the role digital media advertising plays in outlining the characteristics and effectiveness of AI-enabled IoT mHealth.
METHOD: The study used a cross-sectional online survey to collect data from 495 middle-aged adults.
RESULTS: The findings showed that social influence, performance expectation, effort expectancy, and facilitating conditions are critical factors in predicting intention to use mobile health applications. While the advertisements of mobile health are effective in ingraining the perception of their better performance regarding evading cardiovascular diseases added with the Internet of Things is an effective tool in adopting mobile health applications.
CONCLUSION: The utilization of digital media to promote emerging elements like the AI-enabled Internet of Things in health consulting to counter noncommunicable diseases, e.g., cardiovascular disease, has not yet been thoroughly explored. Consequently, the effectiveness of these communication features promotion among middle-aged adults remains largely uncharted. This research examines how middle-aged adults respond to advertisements showcasing the AI-enabled Internet of Things in digital media. Drawing an analogy with a UTAUT-3 theory, this research investigates how digital media advertisement can effectively promote recently integrated AI-enabled Internet of Things mHealth consultation services. Remarkably, findings identified that trust in AI-enabled IoTs-based mHealth applications remained insignificant. However, the digital divide resulting from low digital literacy in the Global South, especially Pakistan, is the primary obstacle to adopting mHealth apps for digital health services. This study suggests organizations such as WHO, mHealth apps, and telemedicine service providers employ health messaging and instructional advertising to educate the public.

Matched MeSH terms: Digital Divide*
Fulltext Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Naveed QN, Qureshi MRN, Tairan N, Mohammad A, Shaikh A, Alsayed AO, et al.

PLoS One, 2020;15(5):e0231465.
PMID: 32365123 DOI: 10.1371/journal.pone.0231465

Learning using the Internet or training through E-Learning is growing rapidly and is increasingly favored over the traditional methods of learning and teaching. This radical shift is directly linked to the revolution in digital computer technology. The revolution propelled by innovation in computer technology has widened the scope of E-Learning and teaching, whereby the process of exchanging information has been made simple, transparent, and effective. The E-Learning system depends on different success factors from diverse points of view such as system, support from the institution, instructor, and student. Thus, the effect of critical success factors (CSFs) on the E-Learning system must be critically analyzed to make it more effective and successful. This current paper employed the analytic hierarchy process (AHP) with group decision-making (GDM) and Fuzzy AHP (FAHP) to study the diversified factors from different dimensions of the web-based E-Learning system. The present paper quantified the CSFs along with its dimensions. Five different dimensions and 25 factors associated with the web-based E-Learning system were revealed through the literature review and were analyzed further. Furthermore, the influence of each factor was derived successfully. Knowing the impact of each E-Learning factor will help stakeholders to construct education policies, manage the E-Learning system, perform asset management, and keep pace with global changes in knowledge acquisition and management.

Matched MeSH terms: Digital Divide/trends