ArticleJMIR human factors2022
Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features.
Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03941652 (Usability Study of the Sensors and the eMOM GDM Application eHealth in Treatment of Gestational Diabetes - eMOM GDM -Study), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Usability Study of the Sensors and the eMOM GDM Application eHealth in Treatment of Gestational Diabetes - eMOM GDM -Study
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- What are the perceptions and experiences of adults using mobile applications for self-management in diabetes? A systematic review.BMJ open · 2025Pooled it
- Self-reported barriers in self-management of women with gestational diabetes: A systematic review of qualitative studies.Nursing open · 2023Pooled it
- Managing Gestational Diabetes Complexity with Continuous Glucose Monitoring: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Personalized Glucose Management With AI: Pilot Study Using a Multiarmed Bandit Approach.JMIR formative research · 2026Article
- Advances in biomonitoring technologies for women's health.Nature communications · 2025Review
- Development of a Smartphone App for Women Living With Gestational Diabetes Mellitus: Qualitative Study.JMIR diabetes · 2025Article
- The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study.JMIR mHealth and uHealth · 2025Article
- Exploring Psychosocial Burdens of Diabetes in Pregnancy and the Feasibility of Technology-Based Support: Qualitative Study.JMIR diabetes · 2025Article
- Systematic development and refinement of a user-centered evidence-based digital toolkit for supporting self-care in gestational diabetes mellitus.Scientific reports · 2025Article
- Self-management interventions for gestational diabetes in Africa: a scoping review.BMC pregnancy and childbirth · 2024Article
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- Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors.JMIR diabetes · 2023Article
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- Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGestational diabetes (GDM) has considerable and increasing health effects as it raises both the mother's and the offspring's risk for short- and long-term health problems. GDM can usually be treated with a healthier lifestyle, such as appropriate dietary modifications and sufficient physical activity. Although telemedicine interventions providing weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control among women with GDM, apps without extensive input from health care professionals are limited and have not been shown to be effective. Different features in personalization and support have been proposed to increase the efficacy of GDM apps, but the knowledge of how these features should be designed is lacking.
objectiveThe aim of this study is to investigate how GDM apps should be designed, considering the desirable features based on the previous literature.
methodsWe designed an interactive GDM prototype app that provided example implementations of desirable features, such as providing automatic and personalized suggestions and social support through the app. Women with GDM explored the prototype and provided feedback in semistructured interviews.
resultsWe identified that (1) self-tracking data in GDM apps should be extended with written feedback, (2) habits and goals should be highly customizable to be useful, (3) the app should have different functions to provide social support, and (4) health care professionals should be notified through the app if something unusual occurs. In addition, we found 2 additional themes. First, basic functionalities that are fast to learn by women with GDM who have recently received the diagnosis should be provided, but there should also be deeper features to maintain interest for women with GDM at a later stage of pregnancy. Second, as women with GDM may have feelings of guilt, the app should have a tolerance for and a supporting approach to unfavorable behavior.
conclusionsThe feedback on the GDM prototype app supported the need for desirable features and provided new insights into how these features should be incorporated into GDM apps. We expect that following the proposed designs and feedback will increase the efficacy of GDM self-management apps.
trial registrationClinicalTrials.gov NCT03941652; https://clinicaltrials.gov/ct2/show/NCT03941652.
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