Developing Mobile Application for Predicting Risk of Cardiovascular Event among People with Diabetes: Design and Pilot Study

Abstract

Aims: The study aim is to develop a mobile application (app) design for predicting the risk of cardiovascular
event and conducts a pilot study.
Methods: The mobile app design was developed on the basis of evidence from World Health Organization
(WHO) and International Society of Hypertension (ISH). The workflow had four steps, namely; data entry,
conversation and processing, risk identification, and education. The development process involved interface
designing, coding, debugging, and pilot testing. Cross-sectional approach for pilot testing was conducted by
using system usability scale.
Results: Main features of the Decardia app, namely, icon categories, input slots, risk identification outcomes,
and education windows, were developed. The app is available in Android platform and in offline mode,
compact, accurate, efficient and users involvement for education. The pilot outcomes indicated excellent
(60%), acceptable (95%), and grade A+ with an average overall score of 87. Almost all components of
usability testing showed positive results with scores ranging from 3 to 3.95 (out of 4).
Conclusions: The Decardia app evaluates patient’s risk level of cardiovascular event and empowers their
risk reduction behavior. The pilot study indicated positive outcomes, supporting the usability of the Decardia
app.