ArticleJournal of diabetes science and technology2022
Optimizing Engagement in an mHealth Intervention for Diabetes Support During Pregnancy: the Role of Baseline Patient Health and Behavioral Characteristics.
Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03240874 (SweetMama Usability and Feasibility), which is not on this map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
SweetMama Usability and Feasibility: Testing of a Novel Technology for Diabetes Education and Support to Pregnant Women
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Health Literacy in Patients With Common Chronic Diseases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Mobile App Use and Pregnancy Health Literacy: Cross-Sectional Study Using Bayesian Network Analysis.Journal of medical Internet research · 2026Article
- Key Features of Engagement Strategies in Nutrition Apps for Adults: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Impact of Different Onboarding Strategies on Low Adoption and Engagement With a Self-Monitoring and Management App for Chronic Musculoskeletal Pain: Prospective Study.JMIR mHealth and uHealth · 2026Article
- Article
- 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
- Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review.JMIR diabetes · 2024Article
- Digital Health Literacy and Its Association With Sociodemographic Characteristics, Health Resource Use, and Health Outcomes: Rapid Review.Interactive journal of medical research · 2024Review
- Patient and Provider Perspectives About the Use of Patient-Generated Health Data During Pregnancy: Qualitative Exploratory Study.JMIR formative research · 2024Article
- SweetMama: Usability Assessment of a Novel Mobile Application Among Low-Income Pregnant People to Assist With Diabetes Management and Support.Diabetes spectrum : a publication of the American Diabetes Association · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundMobile health (mHealth) technology that addresses diabetes mellitus in pregnancy has the potential to improve maternal and child health while diminishing socioeconomic and racial disparities. Little is known about health literacy, electronic health literacy, or patient characteristics that contribute to increased mHealth use. In this pilot study, we aimed to examine patient factors associated with user engagement with a novel app for diabetes support during pregnancy.
methodLow-income pregnant individuals with gestational or type 2 diabetes mellitus were recruited for a 2-week usability assessment of a novel mHealth smartphone application, "SweetMama," designed to improve diabetes care. This analysis of user characteristics was a pilot assessment of data from the usability study phase. Participants completed assessments of patient health literacy, electronic health literacy, diabetes self-efficacy, and activation. User metrics (eg, sessions and total duration of use) were evaluated by participant characteristics. Descriptive analyses were conducted to assess outcomes with respect to patient's clinical history, health literacy, electronic health literacy, diabetes self-efficacy, and activation.
resultsTwenty-two diverse, low-income pregnant patients with either gestational or type 2 diabetes engaged with SweetMama for 14 days. Participants with gestational diabetes had greater mean minutes of use per session and mean total duration of use than those with type 2 diabetes. Participants with greater electronic health literacy, lower patient activation, and greater self-efficacy demonstrated greater total duration of use. No user metrics differed significantly by participant general health literacy.
conclusionsFindings of this pilot study suggest engagement with a novel mHealth app for diabetes support during pregnancy varied by baseline behavioral and clinical characteristics. Results could indicate that digital health literacy better differentiates engagement patterns than general health literacy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.