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Identifying individual enablers and barriers to the use of digital technology for the self-management of long-term conditions by older adults

  • Louise Moody
  • , Esmé Wood
  • , Abigail Needham
  • , Andrew Booth
  • , Angel Jimenez-Aranda
  • , Wendy Tindale
    • University of Sheffield
    • Sheffield Teaching Hospitals NHS Foundation Trust

    Research output: Contribution to journalArticlepeer-review

    132 Downloads (Pure)

    Abstract

    Evidence suggests that much of the digital technology available and provided to older adults to enable self-management of long-term conditions is under-utilised. This research focuses on three conditions prevalent amongst older adults: diabetes, dementia and chronic kidney disease, and explores the individual enablers and barriers to the use of digital self-management technology. The paper reports findings from a series of three systematic reviews of qualitative research (qualitative evidence syntheses). These reviews informed the design of a Delphi study. The first round of the Delphi involving 15 expert interviews is reported. The findings highlight common themes across the three conditions: how technology is used; barriers to use; assessing individual needs when selecting technology; support requirements; multi-functional self-management technologies; trust, privacy and data sharing; achieving accessible and aspirational design. Some emerging recommendations have been suggested to guide the design, and provision of technology to older adults. These will extended and refined through subsequent rounds of the Delphi method.
    Original languageEnglish
    Pages (from-to)448-461
    Number of pages14
    JournalJournal of Medical Engineering and Technology
    Volume46
    Issue number6
    Early online date24 Jun 2022
    DOIs
    Publication statusPublished - 18 Aug 2022

    Bibliographical note

    This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Funder

    NIHR

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Technology use
    • chronic kidney disease
    • dementia
    • diabetes
    • user acceptance

    ASJC Scopus subject areas

    • Biomedical Engineering

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