Year: 2017
Type: conference-paper
Abstract: Aim Mobile applications for diabetes self-management have a variety of different functions. Their role in disease management is poised to take on an increasingly important role, as the prevalence of glucose metabolism disorders and the use of mobile technology rises. Recently, several systematic reviews have presented different taxonomies of classifying mobile applications used in diabetes management, however, no studies have been conducted in an Australian context. The aim of this study was to (a) classify the functionality of the most popular mobile applications for diabetes management in Australia according to these taxonomies, and (b) explore relationships between functional classification, target population and application popularity. Methods A search of the Australian Apple App Store and Google Play Store was conducted to identify the 50 most popular applications tagged with the keyword ‘diabetes’. These applications were then classified according to platform, target population group, the AADE7 Self-Care Behaviors, two previously published taxonomies, and gamification features. Ratings and user reviews were extracted using a script and analysed using Nvivo. Results Most applications were designed for adults and adolescents, with only 1 of those identified specifically targeting children and 3 targeting careers. The most common AADE7 self-care behaviors promoted by applications were monitoring and reducing risk, with features that promote problem solving, being active, and healthy coping least likely to be included. Similarly, taxonomic classification showed BSL logging, insulin logging, and data visualization to be the most common functionality included. Few applications included interactive telemedicine methods, such as remote clinician support or social support, however approximately half had store-and-forward functionality. Few applications used a gamified experience to encourage continued user interaction. Conclusion Results suggest the use of mobile applications is common in the Australian population, with most users using them as a replacement for paper-based logbooks. Thus, further evidence regarding the impact of this on clinical outcomes is needed.
Authors: Anthony Deacon, Jerry Chee, Wen‐Jen Chang, B.A. Harbourne
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2778798650