ArticleJournal of diabetes science and technology2021
Identifying Mobile Health Technology Experiences and Preferences of Low-Income Pregnant Women with Diabetes.
Article in Journal of diabetes science and technology, 2021. 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 19 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- What are the perceptions and experiences of adults using mobile applications for self-management in diabetes? A systematic review.BMJ open · 2025Pooled it
- Barriers to and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-management: Systematic Literature Review of Perceptions of Health Care Professionals and Women With Gestational Diabetes Mellitus.Journal of medical Internet research · 2022Pooled it
- Preferences and Willingness to Pay for Smart Bracelets Among Chinese Pregnant and Postpartum Women: Discrete Choice Experiment.Journal of medical Internet research · 2026Article
- Exploring Self-Management-Based Mobile Health User Typologies and Associations Between User Types and Satisfaction With Key Mobile Health Functions: Comparative Study of Various Fitness and Weight Management App User Types.JMIR medical informatics · 2026Article
- Maternal mHealth usability strengthened by trust, governance, and navigation.Frontiers in digital health · 2026Article
- Gestational Diabetes Mellitus: Efficacy of Non-Pharmacological Interventions for Management and Prevention.Healthcare (Basel, Switzerland) · 2025Review
- Patient-Centred Gestational Diabetes Care: Preference Elicitation Methods and Machine Learning Innovations.Patient preference and adherence · 2025Review
- Content, Behaviour Change Techniques, and Quality of Postpartum Depression Apps to Be Recommended by Midwives: Systematic Search and Evaluation.Nursing reports (Pavia, Italy) · 2024Article
- Patient and Provider Perspectives About the Use of Patient-Generated Health Data During Pregnancy: Qualitative Exploratory Study.JMIR formative research · 2024Article
- Article
- 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
- Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus.American journal of obstetrics & gynecology MFM · 2023Article
- Association of community-level food insecurity and glycemic control among pregnant individuals with pregestational diabetes.Primary care diabetes · 2023Article
- Optimizing Engagement in an mHealth Intervention for Diabetes Support During Pregnancy: the Role of Baseline Patient Health and Behavioral Characteristics.Journal of diabetes science and technology · 2022Article
- Association Between Social Vulnerability and Achieving Glycemic Control Among Pregnant Individuals With Pregestational Diabetes.Obstetrics and gynecology · 2022Article
- "Hey Siri, Help Me Take Care of My Child": A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management.Frontiers in public health · 2022Article
- Article
- How low-income adults in China perceive health and health management mobile applications.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundRapid expansion of mobile technology has resulted in the development of many mobile health ("mHealth") platforms for health monitoring and support. However, applicability, desirability, and extent of tailoring of these platforms for pregnant women, particularly in populations who experience the greatest health inequities-such as women with diabetes mellitus (DM) and/or those with greater socioeconomic barriers-remains unknown. The objective is to understand low-income pregnant women's experiences and preferences for mHealth tools to support DM health and improve DM self-management during pregnancy.
methodsLow-income pregnant and postpartum women were included in individual interviews or focus groups; women with type 2 DM, gestational DM, or no DM were included. Analysis was performed with the constant comparison method.
resultsIn this population of 45 (
conclusionPregnant and postpartum women, especially those with DM, desire mHealth technology to support engagement and to adapt lifestyle guidelines and treatment requirements for a healthy pregnancy. Further work to develop mHealth interventions tailored for target populations remains a key step in reducing health inequities and promoting access to evidence-based perinatal health interventions.
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What OpenQuestion holds
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.