ArticleFrontiers in digital health2023
Designing mobile health to align with the social determinants of health.
Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 8 citations in OpenAlex.
- Integrated analysis of two randomized controlled trials of a digital therapeutic for episodic migraine prevention.NPJ digital medicine · 2026Article
- Virtual Maternity Care During Pregnancy: A Metasynthesis of the Qualitative Literature on Women's Experiences.International journal of environmental research and public health · 2026Review
- Review
- Leveraging Ergonomics and Human Factors (E/HF) for community impact: what have we learned about how to make a difference.Ergonomics · 2025Article
- The role of patient ergonomics in improving health research participation.Applied ergonomics · 2025Review
- A scoping review of digital technologies in antenatal care: recent progress and applications of digital technologies.BMC pregnancy and childbirth · 2025Article
- A Human-Centered Approach for Designing a Social Care Referral Platform.Applied clinical informatics · 2025Article
- Examining the Perceptions of mHealth on Racial and Ethnic Disparities in Postpartum Health for Black Women: A Scoping Review.Health promotion practice · 2024Article
- Precision Prevention: Using Data to Target the Right Intervention at the Right Intensity in the Right Community at the Right Time.Yearbook of medical informatics · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The maternal health crisis in the United States is becoming increasingly worse, with disparities continuing to escalate among marginalized populations. mHealth can contribute to addressing the Social Determinants of Health (SDOH) that produce inequities in maternal morbidity and mortality. Reducing inequities through mHealth can be achieved by designing these technologies to align with SDOH. As mHealth developed to support maternal health has primarily supported the extension of clinical care, there is an opportunity to integrate frameworks and methods from human factors/ergonomics and public health to produce thorough comprehension of SDOH through intentional partnerships with marginalized populations. Potential for this opportunity is presented through a case study derived from a community-based participatory research process focused on transportation access to maternal health services. Through multi-faceted, interdisciplinary, and community-based approaches to designing mHealth that attends to the systemic factors that generate and escalate inequities, improvements in the maternal health crisis could be realized.
Indexed as
Identifiers
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.