A framework for developing prediabetes self-care application

Health; Information systems; Metadata; Network function virtualization; Behaviour changes; Behavioural changes; Health informatics; Mobile applications; Web technologies; Behavioral research

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Bibliographic Details
Main Authors: Subramaniam S., Dhillon J.S., Ahmad M.S., Teoh C., Leong J.W.S.
Other Authors: 57189760151
Format: Conference Paper
Published: IEEE Computer Society 2023
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spelling my.uniten.dspace-231452023-05-29T14:37:59Z A framework for developing prediabetes self-care application Subramaniam S. Dhillon J.S. Ahmad M.S. Teoh C. Leong J.W.S. 57189760151 7003949854 56036880900 37056511400 57189758080 Health; Information systems; Metadata; Network function virtualization; Behaviour changes; Behavioural changes; Health informatics; Mobile applications; Web technologies; Behavioral research Preventing diabetes at the prediabetes stage is a crucial step to take as the damages done by diabetes is non-reversible. In the recent years, the number of diabetics has been increasing tremendously, which is predominantly due to unhealthy lifestyle and diet. To prevent diabetes, human behaviour needs to be altered: a new positive habit should replace an old habit. Self-care applications have great potential in fostering diabetes prevention. However, existing solutions mostly do not follow clinical guidelines, do not incorporate user expectations, are aimed to deliver a specific functionality (such as weight management), are not designed based on behavioural change theories, and therefore they are not designed for long term use. Integrating health behavioural change theories and the prediabetics' requirements into the development of self-care applications can empower consumers to better care of their own health. In this paper, we propose a prediabetes self-care application design framework, which incorporates behavioural change theories, and meets requirements of prediabetics. The framework was validated by a pool of health-related experts from various fields. Results indicate that the framework comprised necessary functions that would enable prediabetes to prevent diabetes. The framework would aid developers to design novel prediabetes applications that would enable users to take greater responsibility towards their health, which in return helps to save medical cost. � 2017 IEEE. Final 2023-05-29T06:37:59Z 2023-05-29T06:37:59Z 2017 Conference Paper 10.1109/ICRIIS.2017.8002463 2-s2.0-85029911637 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029911637&doi=10.1109%2fICRIIS.2017.8002463&partnerID=40&md5=ddc138ff9080df3bf205d88590213855 https://irepository.uniten.edu.my/handle/123456789/23145 8002463 All Open Access, Green IEEE Computer Society Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Health; Information systems; Metadata; Network function virtualization; Behaviour changes; Behavioural changes; Health informatics; Mobile applications; Web technologies; Behavioral research
author2 57189760151
author_facet 57189760151
Subramaniam S.
Dhillon J.S.
Ahmad M.S.
Teoh C.
Leong J.W.S.
format Conference Paper
author Subramaniam S.
Dhillon J.S.
Ahmad M.S.
Teoh C.
Leong J.W.S.
spellingShingle Subramaniam S.
Dhillon J.S.
Ahmad M.S.
Teoh C.
Leong J.W.S.
A framework for developing prediabetes self-care application
author_sort Subramaniam S.
title A framework for developing prediabetes self-care application
title_short A framework for developing prediabetes self-care application
title_full A framework for developing prediabetes self-care application
title_fullStr A framework for developing prediabetes self-care application
title_full_unstemmed A framework for developing prediabetes self-care application
title_sort framework for developing prediabetes self-care application
publisher IEEE Computer Society
publishDate 2023
_version_ 1806427544480645120
score 13.222552