Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust.

Journal: BMC public health
PMID: 40108565

Abstract

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.

Authors

  • Syed Hassan Raza
    School of Media and Communication, Taylor's University, Subang Jaya, 47500, Malaysia.
  • Uzma Norin
    Institute of Media and Communication Studies, Bahauddin Zakariya University, Multan, 66000, Pakistan.
  • Emenyeonu C Ogadimma
    College of Communication, University of Sharjah, Sharjah, 27272, UAE.
  • Umer Zaman
    Endicott College of International Studies (ECIS), Woosong University, Daejeon, 34606, Korea.
  • Amjad Ali Shah
    Institute of Media and Communication Studies, Bahauddin Zakariya University, Multan, 66000, Pakistan.
  • Shumaila Khan
    Institute of CS & IT, University of Science & Technology, Bannu, Pakistan.
  • Hend Khalid Alkahtani
    Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
  • Mohammed Alkhowaiter
    Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, 16278, Al-Kharj, KSA, Saudi Arabia.
  • Sajid Ullah Khan
    Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, 16278, Al-Kharj, KSA, Saudi Arabia.

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