SynthesisNarra J2025
Effectiveness of digital health in improving pregnancy quality among preconception women: A systematic review.
Synthesis in Narra J, 2025. 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
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
2 citing papers in PubMed.
- Using Intervention Mapping to Codevelop Orchid, a Digital Tool for Reproductive Life Planning: Development and Feasibility Study.JMIR human factors · 2026Article
- Use of Dialogue to Uncover Perceptions of Preconception Care From Women of Reproductive Age in the Sampled Districts of Limpopo Province.Journal of pregnancy · 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
Improving nutrition in women prior to conception represents an alternative approach to enhancing the quality of pregnancy. Increased knowledge and self-efficacy among preconception women positively impact changes in health behavior. The rapid development of technology provides an opportunity to implement innovative interventions, including digital health. The aim of this study was to systematically review the efficacy of digital health interventions in modifying the behavior of preconception women. The data were obtained by searching relevant articles published from 2015 to 2023 in electronic databases, including Google Scholar, Science Direct, Web of Science (WoS), Biomed Central, and PubMed. The following keywords were used: "digital health" OR "mobile health" OR "e-health" AND "preconception women" OR "pre-marriage women." Of the 266 studies identified in the search phase, only those that met the inclusion criteria were included in the review. These criteria included 10 articles that assessed the effectiveness of digital health interventions on the behavior change of preconception women. The articles included in this study originated from diverse countries and addressed various digital health interventions. The findings of the review indicated that ten articles reported an increase in pregnant women's knowledge, nine articles demonstrated an enhancement in self-efficacy, and nine articles documented behavioral changes. The behavioral changes observed included the initiation of folic acid consumption before pregnancy, an increase in vegetable and fruit consumption, and a reduction in unhealthy dietary behaviors, such as maintaining a normal weight, smoking cessation, and reduced alcohol consumption. In conclusion, digital health literacy interventions, delivered via web-based platforms or mobile applications, demonstrate effectiveness in promoting positive preconception health behaviors among women, ultimately contributing to improved pregnancy outcomes.
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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.