MatrikalinDiabetes: User-Centered Design of a mHealth App for Gestational Diabetes Mellitus Management and Education Among Bangladeshi Women
Mohammad Arshad Hossain Ratul, Tunisha Yanoor Bristy, Noorjahan Sayeed, Ashraful Islam, Beenish Moalla Chaudhry
HCI International 2024 – Late Breaking Papers
Springer Nature Switzerland, pp. 173–188, ISBN: 978-3-031-76809-5
Abstract
This study employs the User-Centered Design (UCD) methodology to develop a mobile health (mHealth) application (app) specifically tailored for Bangladeshi women with Gestational Diabetes Mellitus (GDM). GDM affects approximately 10% of pregnant women globally and around 35% within Bangladesh, as reported by the World Health Organization (WHO). Despite its high prevalence, there is a significant lack of awareness and education about GDM in Bangladesh, compounded by language barriers that make existing digital solutions less accessible. The MatrikalinDiabetes mHealth app aims to overcome these barriers by providing comprehensive management and educational resources for GDM in the Bangla language, addressing both pre-pregnancy and post-pregnancy needs. To ensure the app meets the actual needs of potential users, personas were created based on a literature review, and a survey was conducted. This process informed the development of both a low-fidelity, paper-based prototype and a high-fidelity digital prototype. Key features of the MatrikalinDiabetes app include tracking of food and water intake, physical activity monitoring, reminders, GDM education, chat forums for community support, blood glucose level (BGL) monitoring, an SOS button for emergency contacts, and quizzes for user engagement. Preliminary feedback indicated that 53.8% of participants favored the integrated features and expressed willingness to use and recommend the app. The survey of the high-fidelity prototype yielded positive responses, with 57.9% of participants strongly agreeing and 42.1% agreeing that the features were beneficial. The user-friendly design of the high-fidelity prototype ensures intuitive interaction, aiding in health management, enhancing GDM understanding, and promoting a healthier lifestyle among pregnant women in Bangladesh.
CCDS Authors
References
- 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.Prokopia Vlachogianni, Νικόλαος Τσέλιος. (2021). Perceived usability evaluation of educational technology using the System Usability Scale (SUS): A systematic review. Journal of Research on Technology in Education, 54(3), 392–409[10.1080/15391523.2020.1867938]
- 3.Yannik Terhorst, Paula Philippi, Lasse Sander, Dana Schultchen, Sarah Paganini, Marco Bardus, Karla Santo, Johannes Knitza, Gustavo C Machado, Stephanie Schöeppe, Natalie Bauereiß, Alexandra Portenhauser, Matthias Domhardt, Benjamin Walter, Martin Krusche, Harald Baumeister, Eva-Maria Meßner. (2020). Validation of the Mobile Application Rating Scale (MARS). PLoS ONE, 15(11), e0241480[10.1371/journal.pone.0241480]
- 4.Iren Borgen, Milada Cvancarova Småstuen, Anne Flem Jacobsen, Lisa Garnweidner‐Holme, Seraj Fayyad, Josef Noll, Mirjam Lukasse. (2019). Effect of the Pregnant+ smartphone application in women with gestational diabetes mellitus: a randomised controlled trial in Norway. BMJ Open, 9(11), e030884[10.1136/bmjopen-2019-030884]
- 5.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]
- 6.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]
- 7.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]
- 8.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]
- 9.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]
- 10.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]
- 11.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]
- 12.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]
- 13.Sharleen O’Reilly, Rachel Laws. (2018). Health‐e mums: Evaluating a smartphone app design for diabetes prevention in women with previous gestational diabetes. Nutrition & Dietetics, 76(5), 507–514[10.1111/1747-0080.12461]
- 14.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]
- 15.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]
- 16.Ashraful Islam, Beenish Moalla Chaudhry. (2021). Identifying User Personas for Engagement with a COVID-19 Health Service Delivery Relational Agent. , 364–366[10.1145/3472307.3484658]
- 17.SRN Kalhori. (2021). Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS). Current Diabetes Reviews, 17(2)[10.2174/15733998mta3modgkx]
- 18.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]
- 19.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]
- 20.Tunisha Yanoor Bristy, Mohammad Arshad Hossain Ratul, Noorjahan Sayeed, Tasnuba Badrul, Ashraful Islam. (2024). Preliminary Design Validation of a mHealth Tool for Gestational Diabetes Mellitus Management and Education in Bangladeshi Women. , 1–8[10.1109/aset60340.2024.10708707]
