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 language | English |
|---|---|
| Pages (from-to) | 1111-1120 |
| Number of pages | 10 |
| Journal | Health Informatics Journal |
| Volume | 22 |
| Issue number | 4 |
| Early online date | 3 Dec 2015 |
| DOIs | |
| Publication status | Published - Dec 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- diabetes mellitus
- mHealth
- mobile applications
- patient engagement
- self-care
Fingerprint
Dive into the research topics of 'mHealth applications for diabetes: user preference and implications for app development'. Together they form a unique fingerprint.Research output
- 84 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 conference › Poster › peer-review
Student theses
-
Turning data into information: The use of new technologies to improve the delivery of healthcare for people with diabetes
Conway, N. T. (Author), Wake, D. (Supervisor) & Smith, B. (Supervisor), 2017Student thesis: Doctoral Thesis › Doctor of Medicine
File
Profiles
-
Cunningham, Scott
- Diabetes Endocrinology and Reproductive Biology - Senior Lecturer (Teaching and Research)
Person: Academic
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver