Conference Paper2020Cited by 4

A Review on Diabetes Self-management Applications for Android Smartphones: Perspective of Developing Countries

Farzana Anowar, Mohsena Ashraf, Ashraful Islam, Eshtiak Ahmed, Atiqul Islam Chowdhury

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

IEEE, pp. 1–5

  • Good Health and Well-being — Relevance: 95%
DOI: 10.1109/hora49412.2020.9152932URL

Abstract

Proper and sufficient health-care services have always been of great importance to the society and its' people. There are some common health issues that are frequently faced by people which can be taken care of by introducing innovative healthcare and monitoring systems. Diabetes is one of these issues as recent studies state that a total number of 387 million people all over the world are suffering from it. This number is even more alarming in the developing countries as there are approximately 7 million people suffering from diabetes on an average in each developing country. In this prospect, Information and Communication Technology (ICT) can provide a monitoring system with the help of interactive smart applications such as smart phone applications (apps) which provides the users with real time monitoring, suggestions and also, provides statistical report to indicate progress of healthcare. There are a significant number of smartphone applications in various operating systems (OSs) such as Android, iOS, Blackberry, Windows etc. that provide previously stated features. However, due to the widespread use in the developing countries and abundance of free applications of Android OS, this study only reviews Android based apps. By analyzing the features and usefulness of these apps, 54 apps have been identified with satisfactory level of functionality. In our study, we compare these apps to analyze the provided features and the feasibility of these apps for becoming a robust interactive system for continuous monitoring and support for people with diabetes. This study could lead to the development of a complete monitoring system and would take the health-care system to a whole new level for the developing countries.

Keywords

  • diabetes self-management
  • diabetes monitoring
  • Android smartphone application
  • mobile health
  • health information and communication technologies
  • developing countries
  • continuous health monitoring

CCDS Authors

Farzana Anowar, PhD
Farzana Anowar, PhD

Farzana Anowar, PhD

  • Collaborator, HCI Wing

  • Senior Data Analytics Specialist

    Government of Saskatchewan, Canada

  • PhD

    University of Regina

Published at

HCII, IEEE Access

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, Pattern Recognition, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Eshtiak Ahmed
Eshtiak Ahmed

Eshtiak Ahmed

  • Collaborator, HCI Wing

  • Doctoral Researcher

    Gamification Group

    Tampere University, Finland

Published at

UbiComp, ICIP, HCII, IEEE Access

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Cited By

  1. 1.Wesley Tay, Rina Quek, Bhupinder Kaur, Joseph Lim, Christiani Jeyakumar Henry. (2022). Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges. JMIR Public Health and Surveillance, 8(7), e33478[10.2196/33478]
  2. 2.Muhammad Usama Islam, Md. Mobarak Hossain, Iqbal Hossain, Mohammod Abul Kashem. (2021). DiabeDetect: A Novel Decision Tree-Based Approach for Early Prognosis of Diabetes. Advances in intelligent systems and computing, 563–571[10.1007/978-981-16-2597-8_48]
  3. 3.Karla-Cecilia Pérez-Osorio, Yara-Anahí Jiménez-Nieto, Jorge-Ernesto González-Diaz, Gabriel Rodríguez-Vásquez, Adolfo Rodríguez-Parada, Omar Juárez-Rivera. (2025). Mobile Apps to Improve Diabetes Mellitus Self-care: A Scoping Review. Studies in computational intelligence, 405–431[10.1007/978-3-031-90310-6_26]
  4. 4.Md. Touhidul Islam. (2023). Practices of Artificial Intelligence (Ai) to Improve the Business in Bangladesh. SSRN Electronic Journal[10.2139/ssrn.4467146]
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