Conference Paper2024Cited by 2

Preliminary Design Validation of a mHealth Tool for Gestational Diabetes Mellitus Management and Education in Bangladeshi Women

Tunisha Yanoor Bristy, Mohammad Arshad Hossain Ratul, Noorjahan Sayeed, Ashraful Islam

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences

IEEE, pp. 1-8

  • Good Health and Well-being — Relevance: 97%
  • Gender Equality — Relevance: 84%

Abstract

This research presents the preliminary design of a mobile health (mHealth) application specifically tailored for Bangladeshi women with Gestational Diabetes Mellitus (GDM), a condition affecting roughly 10% of pregnant women globally and around 35% within Bangladesh, according to the World Health Organisation (WHO). Despite the high prevalence, there is a significant lack of awareness and education about GDM in Bangladesh, exacerbated by language barriers that render existing digital solutions less accessible. Our proposed preliminary designed mHealth app breaks these barriers by offering comprehensive management and educational resources for GDM in the Bangla language, addressing both pre and post-pregnancy needs. To align the app's functionality with the actual needs of potential users, personas created from the studied papers and survey was conducted, leading to the development of a paper-based low-fidelity prototype. The app features include Food and Water Intake tracking, Physical Activity monitoring, Reminders, GDM education, Chat Forums for community support, and Quizzes for engagement. Preliminary feedback indicated that 53.8 % of participants favored the integrated features and expressed a willingness to use and recommend the app. The design of the app adheres to User-Centered Design (UCD) principles, ensuring it is intuitive and beneficial for managing health, enhancing GDM understanding, and promoting a healthier lifestyle among pregnant women in Bangladesh.

Keywords

  • physical activity monitoring
  • gestational diabetes mellitus
  • low-fidelity prototypes
  • mobile health apps
  • Bengali language
  • health education
  • Bangladeshi women
  • online community support
  • User-centered design
  • personas

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

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

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

References

  1. 1.Robert Jakob, Samira Harperink, Aaron Maria Rudolf, Elgar Fleisch, Severin Haug, Jacqueline L. Mair, Alicia Salamanca-Sanabria, Tobias Kowatsch. (2022). Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research, 24(5), e35371[10.2196/35371]
  2. 2.Christine Jacob, Antonio Sánchez-Vázquez, Chris Ivory. (2019). Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review. JMIR mhealth and uhealth, 8(2), e15935[10.2196/15935]
  3. 3.Lisa Garnweidner‐Holme, Iren Borgen, Iñaki Garitano, Josef Noll, Mirjam Lukasse. (2015). Designing and Developing a Mobile Smartphone Application for Women with Gestational Diabetes Mellitus Followed-Up at Diabetes Outpatient Clinics in Norway. Healthcare, 3(2), 310–323[10.3390/healthcare3020310]
  4. 4.Tapas Mazumder, Ema Akter, Syed Moshfiqur Rahman, Md Tauhidul Islam, Mohammad Radwanur Talukder. (2022). Prevalence and Risk Factors of Gestational Diabetes Mellitus in Bangladesh: Findings from Demographic Health Survey 2017–2018. International Journal of Environmental Research and Public Health, 19(5), 2583[10.3390/ijerph19052583]
  5. 5.Jiayi Shen, Jiebin Chen, Zequan Zheng, Jiabin Zheng, Zherui Liu, Jian Song, Sum Yi Wong, Xiaoling Wang, Mengqi Huang, Po-Han Fang, Bangsheng Jiang, Winghei Tsang, Zonglin He, Taoran Liu, Babatunde Akinwunmi, Chi Chiu Wang, Casper J. P. Zhang, Jian Huang, Wai‐Kit Ming. (2020). An Innovative Artificial Intelligence–Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study. Journal of Medical Internet Research, 22(9), e21573[10.2196/21573]
  6. 6.Marlien Varnfield, Christian B. Redd, Rachel Stoney, Liesel Higgins, Naomi Scolari, Roisine Warwick, Joel Iedema, Jane Rundle, W. A. W. Dutton. (2020). M♡THer, an mHealth System to Support Women with Gestational Diabetes Mellitus: Feasibility and Acceptability Study. Diabetes Technology & Therapeutics, 23(5), 358–366[10.1089/dia.2020.0509]
  7. 7.Bridget J Daley, Michael Ni’Man, Mariana R. Neves, M. S. B. Huda, William Marsh, Norman Fenton, G. A. Hitman, Scott McLachlan. (2021). mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review. Diabetic Medicine, 39(1), e14735[10.1111/dme.14735]
  8. 8.Claudia Eberle, Maxine Loehnert, Stefanie Stichling. (2021). Effectivness of specific mobile health applications (mHealth-apps) in gestational diabtetes mellitus: a systematic review. BMC Pregnancy and Childbirth, 21(1), 808[10.1186/s12884-021-04274-7]
  9. 9.Evgenii Pustozerov, Polina Popova, Aleksandra Tkachuk, Yana Bolotko, Z. M. Yuldashev, Elena Grineva. (2018). Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus. JMIR mhealth and uhealth, 6(1), e6[10.2196/mhealth.9236]
  10. 10.Britta Larsen, Stephanie Micucci, Sheri J. Hartman, Gladys Ramos. (2020). Feasibility and Acceptability of a Counseling- and mHealth-Based Physical Activity Intervention for Pregnant Women With Diabetes: The Fit for Two Pilot Study. JMIR mhealth and uhealth, 8(10), e18915[10.2196/18915]
  11. 11.Winifred Ekezie, Helen Dallosso, Ponnusamy Saravanan, Kamlesh Khunti, Michelle Hadjiconstantinou. (2021). Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes. BMC Health Services Research, 21(1), 772[10.1186/s12913-021-06791-9]
  12. 12.Anne L. Potzel, Christina Gar, Friederike Banning, Vanessa Sacco, Andreas Fritsche, Louise Fritsche, Karsten Müssig, Laura Dauben, Jochen Seißler, Andreas Lechner. (2022). A novel smartphone app to change risk behaviors of women after gestational diabetes: A randomized controlled trial. PLoS ONE, 17(4), e0267258[10.1371/journal.pone.0267258]
  13. 13.Seungmi Park, Eunju Kwak, Jisan Lee. (2022). Breastfeeding mobile application for mothers with gestational diabetes mellitus: designed by mothers and experts. BMC Public Health, 22(1), 1510[10.1186/s12889-022-13952-w]
  14. 14.Youngji Kim, Jung Lim Lee, Insun Jang, Seungmi Park. (2020). Knowledge and Health Beliefs of Gestational Diabetes Mellitus Associated with Breastfeeding Intention Among Pregnant Women in Bangladesh. Asian Nursing Research, 14(3), 144–149[10.1016/j.anr.2020.06.001]
  15. 15.Mikko Kytö, Lisbeth Strömberg, Heli Tuomonen, Antti Ruonala, Saila B. Koivusalo, Giulio Jacucci. (2021). Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features. International Journal of Human-Computer Interaction, 38(12), 1095–1112[10.1080/10447318.2021.1987678]
  16. 16.Animesh Biswas, Koustuv Dalal, Abu Sayeed Md. Abdullah, AKM Fazlur Rahman, Abdul Halim. (2020). <p>Gestational Diabetes: Exploring the Perceptions, Practices and Barriers of the Community and Healthcare Providers in Rural Bangladesh: A Qualitative Study</p>. Diabetes Metabolic Syndrome and Obesity, Volume 13, 1339–1348[10.2147/dmso.s238523]
  17. 17.Abdul Halim, Abu Sayeed Md. Abdullah, Fazlur Rahman, Animesh Biswas. (2020). Exploring the perceptions, practices and challenges of gestational diabetes detection and management among health care providers in a district of Bangladesh. F1000Research, 9, 189[10.12688/f1000research.21330.1]

Cited By

  1. 1.Mohammad Arshad Hossain Ratul, Tunisha Yanoor Bristy, Noorjahan Sayeed, Ashraful Islam, Beenish Moalla Chaudhry. (2024). MatrikalinDiabetes: User-Centered Design of a mHealth App for Gestational Diabetes Mellitus Management and Education Among Bangladeshi Women. Lecture notes in computer science, 173–188[10.1007/978-3-031-76809-5_13]
  2. 2.Faiza Omar Arpita, Istiaq Ahmed, Ashraful Islam, Ashfaqul Islam, Asif Mahmud, M. Ashraful Amin. (2025). Preliminary Design of a Culturally Tailored AI-Integrated mHealth App for Gestational Diabetes and Excessive Weight Management in Bangladesh. , 1–6[10.1109/scored68498.2025.11399175]