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

Authors

  • Anggi Lukman Wicaksana,1,2, Andri Cipta3 , Nadhifah Azzahrah Yumna3 , Muhammad Nabhan Naufal4

DOI:

https://doi.org/10.37506/ijphrd.v12i1.13901

Keywords:

cardiovascular event, diabetes, design, mobile health, risk of cardiovascular, screening

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.

Author Biography

Anggi Lukman Wicaksana,1,2, Andri Cipta3 , Nadhifah Azzahrah Yumna3 , Muhammad Nabhan Naufal4

1
Assistant Professor, Department of Medical Surgical Nursing, Faculty of Medicine, Public Health and Nursing,
Universitas Gadjah Mada (FMPHN UGM), Indonesia, 2
Researcher, The Sleman Health and Demographic
Surveillance System, FMPHN UGM, Indonesia; 3Student, School of Nursing, FMPHN UGM, Indonesia; 4Student,
School of Information Engineering, Faculty of Engineering, UGM, Indonesia

Published

2021-01-07

How to Cite

Anggi Lukman Wicaksana,1,2, Andri Cipta3 , Nadhifah Azzahrah Yumna3 , Muhammad Nabhan Naufal4. (2021). Developing Mobile Application for Predicting Risk of Cardiovascular Event among People with Diabetes: Design and Pilot Study. Indian Journal of Public Health Research & Development, 12(1), 530-537. https://doi.org/10.37506/ijphrd.v12i1.13901