ArticleDigital health
Maternal health applications: Qualitative findings of user needs.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Maternal mHealth usability strengthened by trust, governance, and navigation.Frontiers in digital health · 2026Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study sought to understand the current experiences and subsequent needs of digital maternal health application users based on an interdisciplinary analysis of features currently available in the digital marketplace (including mobile applications and mobile-friendly websites). Methods: Following secondary analysis of previously collected interview and focus group data, we used qualitative thematic analysis to observe recurring themes within current maternal health applications and prospective augmentation of related technology for future development. Results: Study findings suggested tailored features would best serve the target population, and eleven unique themes comprising additions and improvements to maternal health applications emerged. These included seven major areas: improved mental health support, need for forums and support groups, lack of lactation and breastfeeding support, lack of quality food and nutrition access and product finders, minimal financial literacy information, tailored culturally competent information, and need for localized information and resources. Findings also suggested four main improvements for digital offerings in the current maternal health space: increased emphasis on resources available for postpartum care, importance of minimizing the number of hubs used, need for making information more digestible by ensuring it is written, edited, and provided at appropriate reading levels by more coordinated interaction of words and graphics, and ensuring the trust and credibility of such applications. Conclusions: Maternal health applications are improving; however, more features can be added in a localized manner. Additional improvements could be made to current offerings, maximizing the utility of applications, especially in hard-to-reach areas such as maternity care deserts. With the advent of artificial intelligence, developers are poised with the ability to make platforms more focused and tailored for their users.
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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.