ArticleDigital health
Pregnant women and mobile apps: Unraveling pregnant women's adoption of mobile pregnancy education apps.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- The Paradox of Digital Monitoring: A Cross-Sectional Study of mHealth Adoption and Its Association with Psychological Distress Among Pregnant Women in Romania.Healthcare (Basel, Switzerland) · 2026Article
- Mobile health applications in the management of hyperglycemia in pregnancy: a mini-review of current tools and future perspectives.Frontiers in clinical diabetes and healthcare · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Pregnancy is a vital period during which maternal conditions and physiological processes may significantly influence the long-term health outcomes of the child. Therefore, optimal health education is necessary to enhance knowledge, attitudes, and behaviors during pregnancy. Objective: This study aims to develop a model of various factors-such as facilitating condition, social influence, trust in the app, e-health literacy, innovative personality, perceived system quality, and perceived information quality-that affect both the intention to use and the actual usage of mobile apps for pregnancy education among pregnant women in Indonesia. Methods: The research employed a survey using an online questionnaire, involving 206 pregnant women who were users of a mobile-based pregnancy education application, recruited from three community health centers in South Tangerang, Indonesia, between January and April 2024. Of the total participants, 130 pregnant women met the inclusion criteria. Data analysis was conducted in three stages: respondent profile analysis, measurement model analysis, and structural model analysis. Partial Least Squares-Structural Equation Modeling was utilized to test the proposed model. Results: The findings indicate that the model is a good fit, valid, and reliable. The data supported eight hypotheses proposed in this study, and two were rejected. Facilitating conditions were found to have a direct positive impact on actual use rather than the intention to use a mobile-based pregnancy education application. Trust in the app mediates the positive effect of social influence, perceived system quality, and perceived information quality on the intention to use the app. Additionally, innovative personality and e-health literacy both have a positive influence on usage intention. The coefficient of determination ( Conclusion: This study offers valuable insights for the development of future applications and addresses a significant gap in the literature regarding the usage behavior of mobile-based pregnancy education applications.
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What Socratic 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 Socratic graph.