IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12682-d933033.html
   My bibliography  Save this article

Applications of Medical Digital Technologies for Noncommunicable Diseases for Follow-Up during the COVID-19 Pandemic

Author

Listed:
  • Eman Sobhy Elsaid Hussein

    (Nursing Department, College of Applied Medical Sciences-Yanbu, Taibah University, Medina 42353, Saudi Arabia
    Medical Surgical Nursing Department, Faculty of Nursing, Ain Shams University, Cairo 11566, Egypt)

  • Abdullah Mohammed Al-Shenqiti

    (Centre for Rehabilitation Sciences, University of Manchester, Manchester M13 9PL, UK
    Faculty of Medical Rehabilitation Sciences, Taibah University, Medina 42353, Saudi Arabia)

  • Reda Mohamed El-Sayed Ramadan

    (Medical Surgical Nursing Department, Faculty of Nursing, Ain Shams University, Cairo 11566, Egypt
    Medical Surgical Nursing, College of Applied Medical Sciences, Shaqra University, Shaqra 15518, Saudi Arabia)

Abstract

Background: Noncommunicable chronic diseases (NCDs) are multifaceted, and the health implications of the COVID-19 pandemic are far-reaching, especially for NCDs. Physical distancing and quarantine can lead to the poor management of NCDs because the visual tracking of them has been replaced with medical digital technology, that is, smartphone apps. This study aimed to explore medical digital technology applications for NCDs for follow-up during the COVID-19 pandemic. Methods: The participants in this study were 400 adult patients with NCDs; they were selected by systematic random sampling. A descriptive cross-sectional design was used. The study was conducted in the outpatient department of Yanbu General Hospital and primary-care health centers in Yanbu Al-Baher, Al-Madinah Al-Munawwarah, in the Kingdom of Saudi Arabia. The tools used in this study were a structured questionnaire to collect the sociodemographic characteristics of the patients and their health history, an NCD questionnaire to assess follow-up of the patients during the COVID-19 pandemic, and a medical digital technologies questionnaire to explore the medical digital technology applications. Results: The mean age of the patients was 47.32 ± 14.362 years, and 62.8% of them were female and 372 were male. Of the patients, 69.2% and 57.5% had been diagnosed with diabetes mellitus and hypertension, respectively; 52.4% were followed up monthly, and 29.75% used medical digital technology applications such as Tabeby Online to monitor their health. Furthermore, 71.75% and 75.5% of the patients used the Sehhaty and Tawakkalna medical digital applications, respectively. Overall, 38.7% of the patients were satisfied with using medical digital technology applications used for follow-up during the COVID-19 pandemic. Conclusions: The study concluded that the services that use networks, smartphones, and medical digital technology applications on the Saudi Ministry of Health website and mobile applications to improve the quality of the health-care system, and that provide health services for noncommunicable or communicable diseases, are not effective. This is because the patients lack awareness of these services, with most of the chronic patients being elderly with lower levels of education and computer literacy.

Suggested Citation

  • Eman Sobhy Elsaid Hussein & Abdullah Mohammed Al-Shenqiti & Reda Mohamed El-Sayed Ramadan, 2022. "Applications of Medical Digital Technologies for Noncommunicable Diseases for Follow-Up during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(19), pages 1-17, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12682-:d:933033
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12682/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/19/12682/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdel-Basset, Mohamed & Chang, Victor & Nabeeh, Nada A., 2021. "An intelligent framework using disruptive technologies for COVID-19 analysis," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mashael Alghareeb & Abdulmohsen Saud Albesher & Amna Asif, 2023. "Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia," Sustainability, MDPI, vol. 15(2), pages 1-17, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "Heterogenous evaluations of autonomous vehicle services: An extended theoretical framework and empirical evidence," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    2. Rubbio, Iacopo & Bruccoleri, Manfredi, 2023. "Unfolding the relationship between digital health and patient safety: The roles of absorptive capacity and healthcare resilience," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    3. Ayesha Amjad & Piotr Kordel & Gabriela Fernandes, 2023. "A Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligence," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    4. Basile, L.J. & Carbonara, N. & Panniello, U. & Pellegrino, R., 2024. "The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management," Technovation, Elsevier, vol. 133(C).
    5. Chiarello, Filippo & Fantoni, Gualtiero & Hogarth, Terence & Giordano, Vito & Baltina, Liga & Spada, Irene, 2021. "Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Dang, Ngoc Bich & Bertrandias, Laurent, 2023. "Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    7. Ante, Lennart & Fiedler, Ingo & Strehle, Elias, 2021. "The impact of transparent money flows: Effects of stablecoin transfers on the returns and trading volume of Bitcoin," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    8. Caselli, Mauro & Fracasso, Andrea, 2021. "Covid-19 and Technology," GLO Discussion Paper Series 1001, Global Labor Organization (GLO).
    9. Salma Benchekroun & V. G. Venkatesh & Ilham Dkhissi & D. Jinil Persis & Arunmozhi Manimuthu & M. Suresh & V. Raja Sreedharan, 2023. "Managing the retail operations in the COVID‐19 pandemic: Evidence from Morocco," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 424-447, January.
    10. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    12. Shaygan, Amir & Daim, Tugrul, 2023. "Technology management maturity assessment model in healthcare research centers," Technovation, Elsevier, vol. 120(C).
    13. Jin Sung Rha & Hong-Hee Lee, 2022. "Research trends in digital transformation in the service sector: a review based on network text analysis," Service Business, Springer;Pan-Pacific Business Association, vol. 16(1), pages 77-98, March.
    14. Prabh Deep Singh & Rajbir Kaur & Kiran Deep Singh & Gaurav Dhiman, 2021. "A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients," Information Systems Frontiers, Springer, vol. 23(6), pages 1385-1401, December.
    15. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    16. Bhatt, Priyanka C. & Lai, Kuei-Kuei & Drave, Vinayak A. & Lu, Tzu-Chuen & Kumar, Vimal, 2023. "Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    17. Helena Biancuzzi & Francesca Dal Mas & Chiara Bidoli & Veronica Pegoraro & Maristella Zantedeschi & Pietro Antonio Negro & Stefano Campostrini & Lorenzo Cobianchi, 2023. "Economic and Performance Evaluation of E-Health before and after the Pandemic Era: A Literature Review and Future Perspectives," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    18. Dal Mas, Francesca & Massaro, Maurizio & Rippa, Pierluigi & Secundo, Giustina, 2023. "The challenges of digital transformation in healthcare: An interdisciplinary literature review, framework, and future research agenda," Technovation, Elsevier, vol. 123(C).
    19. Divya Biligere Shivanna & Thompson Stephan & Fadi Al-Turjman & Manjur Kolhar & Sinem Alturjman, 2022. "IoMT-Based Automated Diagnosis of Autoimmune Diseases Using MultiStage Classification Scheme for Sustainable Smart Cities," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    20. Khan, Ali Nawaz, 2021. "A diary study of psychological effects of misinformation and COVID-19 Threat on work engagement of working from home employees," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12682-:d:933033. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.