Evidence mapPaperPMID 40600605Full record

ArticleJournal of medical Internet research2025

Perinatal Women's Perception of Maternal Health Information Quality on Digital Media: Scoping Review.

Bowen Li, Ningning Jin, Yingli Wang, Xiaoni Hou, Jing Meng, Yihong Zhang

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  5. Article
  6. Nutrients · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bowen Li *School of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0009-0006-7978-6780
Ningning Jin *School of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0003-4744-2917
Yingli WangPeking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-6173-2876
Xiaoni HouSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-8417-9321
Jing MengSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0009-0000-4712-3399
Yihong ZhangSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0009-0007-1146-5603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerinatal women are increasingly turning to digital media for maternal health information; however, concerns regarding the quality of this information persist. Understanding perinatal women's perceptions of information quality is essential for enhancing the effectiveness of information services.

objectiveThis review aims to (1) identify the key features that perinatal women focus on when perceiving the quality of maternal health information on digital media and (2) summarize the quality issues with maternal health information on digital media that perinatal women have reported.

methodsA scoping review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines using PubMed, Web of Science, Embase, Scopus, and ScienceDirect databases (2000-2024). The search strategy combined the following four conceptual clusters using Boolean operators: (1) perinatal population terms ("pregnant women," "expectant mothers," and "perinatal"), (2) information-related terms ("information," "education," and "resource"), (3) perception-related terms ("perception," "experience," and "expectation"), and (4) digital media terms ("online," "social media," and "app"). Thematic analysis was used for data synthesis.

resultsFrom 5290 records identified, 30 (0.57%) articles were selected for inclusion in this review. The perceived quality features of information can be categorized into four distinct aspects: (1) information providers, which encompasses 2 features, transparency and authority; (2) information content, consisting of 9 features, trustworthiness, evidence based, timeliness, comprehensiveness, need-based relevance, practicality, motivational simulation, emotional supportiveness, and cultural sensitivity; (3) information presentation, which includes 3 features, understandability, attractiveness, and conciseness; and (4) information platforms, comprising 3 features, user-friendly navigation, proactive delivery, and interactivity. Furthermore, several perceived quality issues associated with these aspects were noteworthy. Specifically, (1) quality issues regarding information providers primarily pertained to their lack of credibility; (2) quality issues related to information content encompassed an overwhelming volume of information, inaccuracies, lack of scientific evidence, prevalence of contradictory information, insufficient breadth and depth, a mismatch between content and the needs of women, and information that induces negative emotions; (3) presentation issues manifested as difficulties in understanding the information; and (4) quality issues regarding information platforms included poor usability and the commercialization of these platforms.

conclusionsOur review identifies 17 key quality features across various dimensions that are valued by perinatal women. While there are similarities with quality indicators found in general health information, the unique quality features shaped by the specific characteristics of the perinatal population cannot be overlooked. These distinctive attributes highlight the importance of tailoring maternal health information to meet the unique needs and preferences of perinatal women. Although digital media information services offer many benefits, this study indicates that perinatal women are dissatisfied with the quality of existing maternal health information. Clearly, future efforts should focus on integrating perinatal women's perceptions of information quality to ensure ongoing improvements in information quality.

Indexed as

Maternal HealthSocial MediaDigital MediaFemaleHumansPerceptionPregnancydigital mediainformation quality perceptioninformation servicematernal and infant healthscoping review

Identifiers

PMID40600605
PMCPMC12268224

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.