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  1. 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*
  2. 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*
  3. Nur Ajrun Khalid, Rohana Yusof
    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
  4. Nur Ajrun Khalid, Rohana Yusof
    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
  5. 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
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