The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes.
Mary D AduUsman H MalabuAduli Enoch Othniel Malau-AduliBunmi Sherifat Malau-AduliPublished in: Scientific reports (2020)
Non-adherence to self-management poses a serious risk to diabetes complications. Digital behavioural change interventions have the potential to provide education and motivate users to regularly engage with self-management of diabetes. This paper describes the development of My Care Hub mobile phone application (app) aimed at supporting self-management in people with type 1 or type 2 diabetes. The development of My Care Hub involved a comprehensive process of healthy behavioural change identification, end users' needs, expert consensus, data security and privacy considerations. The app translation was a highly iterative process accompanied by usability testing and design modification. The app development process included: (1) behaviour change strategy selection; (2) users' involvement; (3) expert advisory involvement; (4) data security and privacy considerations; (5) design creation and output translation into a smartphone app and (6) two usability testings of the app prototype version. The app features include self-management activities documentation, analytics, personalized and generalized messages for diabetes self-management as well as carbohydrate components of common foods in Australia. Twelve respondents provided feedback on the usability of the app. Initially, a simplification of the documentation features of the app was identified as a need to improve usability. Overall, results indicated good user satisfaction rate.
Keyphrases
- type diabetes
- electronic health record
- glycemic control
- health information
- healthcare
- cardiovascular disease
- big data
- palliative care
- computed tomography
- machine learning
- physical activity
- magnetic resonance
- magnetic resonance imaging
- social media
- metabolic syndrome
- pain management
- affordable care act
- adipose tissue
- deep learning
- artificial intelligence
- climate change
- human health