ArticleEinstein (Sao Paulo, Brazil)2024
Internet use by pregnant women during prenatal care.
Article in Einstein (Sao Paulo, Brazil), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 15 citations in OpenAlex.
- Evaluating online information on reduced fetal movements: a mixed-methods study.Irish journal of medical science · 2026Article
- Internet use for pregnancy-related information and its correlates among women attending antenatal care in Mogadishu, Somalia.PLOS digital health · 2026Article
- Article
- The influence of pregnant women's personality traits and well-being on internet-based decision-making and coping styles with stress.BMC pregnancy and childbirth · 2026Article
- The Impact of Online Health Anxiety on Maternal Health Behaviors in Cyberchondriac Mothers: A Narrative Review.Cureus · 2026Review
- Development of the cyberchondria severity scale in pregnancy (CSS-P).BMC pregnancy and childbirth · 2026Article
- From #cervicalcancerscreening to #LEEP - Quality and accuracy of cervical cancer content on TikTok.Gynecologic oncology reports · 2026Article
- Article
- Associations between pregnant women's attitudes toward, and literacy in, artificial intelligence, and their association with perceived influence of internet-based information on decision-making.Frontiers in public health · 2026Article
- Impacts of Sexual and Reproductive Health and Rights Misinformation in Digital Spaces on Human Rights Protection and Promotion: Scoping Review.JMIR infodemiology · 2025Article
- Exploratory analysis of placenta accreta spectrum content on TikTok using #placentaaccreta, #accreta, and #placentaprevia.AJOG global reports · 2025Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe search for medical information on the internet is a part of people's daily lives. Exponential volumes of data are available through various media and platforms. There are several problems related to the ease of creating and accessing medical information on the internet, as evidenced by the quantity of false content and increasing anxiety due to the consumption of these data. In light of this accessibility, it is necessary to understand how people use internet-based medical information and its impact on specific populations. This prospective study aimed to analyze pregnant women's behavior when searching for health-related information on the internet, and how they were influenced by the information.
methodsQuestionnaires were administered to the participants during their immediate puerperium, and their answers were tabulated.
resultsThree hundred and two patients answered the questionnaires. We observed that internet use was frequent, and most patients discussed the findings with their physicians. However, this did not affect the delivery routes.
conclusionThe search for health information by pregnant women is very prevalent but does not interfere with the delivery route.
Indexed as
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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.