mHealth applications for diabetes: user preference and implications for app development

Nicholas Conway (Lead / Corresponding author), Iona Campbell, Paula Forbes, Scott Cunningham, Deborah Wake

Research output: Contribution to journalArticle

38 Citations (Scopus)
177 Downloads (Pure)

Abstract

Increasing diabetes prevalence has led to the need for more sustainable and person-centred services. The diabetes self-care mHealth marketplace is growing, but most effective/valued features are unknown. This study gauges diabetes app user opinion to inform development work. An analysis of diabetes mHealth apps informed design of a questionnaire sent to a random sample of 400 patients stratified by diabetes type and age. Responses were analysed by sub-group, and preferences were compared with current diabetes apps. App features included data storage/graphics, exercise tracking, health/diet, reminders/alarms, education. Questionnaire response rate was 59 per cent (234/400); 144/233 (62%) owned smartphones. Smartphone users expressed preference towards mHealth (101/142 (71%)), although diabetes use was low (12/163 (7%)). Respondents favoured many potential features, with similar preferences between diabetes types. This study demonstrates that while mHealth acceptance is high, current engagement is low. Engagement and functionality could be improved by including stakeholders in future development, driven by clinical/user need.

Original languageEnglish
Pages (from-to)1111-1120
Number of pages10
JournalHealth Informatics Journal
Volume22
Issue number4
Early online date3 Dec 2015
DOIs
Publication statusPublished - Dec 2015

Keywords

  • diabetes mellitus
  • mHealth
  • mobile applications
  • patient engagement
  • self-care

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  • Research Output

    • 38 Citations
    • 1 Poster

    mHealth applications for diabetes – user preference and implications for app development

    Conway, N., Campbell, I., Forbes, P., Cunningham, S. & Wake, D., 1 Dec 2015.

    Research output: Contribution to conferencePoster

  • Student Theses

    Turning data into information: The use of new technologies to improve the delivery of healthcare for people with diabetes

    Author: Conway, N. T., 2017

    Supervisor: Wake, D. (Supervisor) & Smith, B. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Medicine

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    Cunningham, Scott

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