Evidence map›Paper›PMID 25879682›Full record

ArticlePloS one2015

Web-based surveillance of public information needs for informing preconception interventions.

Angelo D'Ambrosio, Eleonora Agricola, Luisa Russo, Francesco Gesualdo, Elisabetta Pandolfi, Renata Bortolus, Carlo Castellani, Faustina Lalatta, Pierpaolo Mastroiacovo, Alberto Eugenio Tozzi

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Australian women's information-seeking preferences and needs in preparation for pregnancy.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2023
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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

10 authors.

Angelo D'AmbrosioMultifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Eleonora AgricolaMultifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Luisa RussoMultifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Francesco GesualdoMultifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Elisabetta PandolfiMultifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.
Renata BortolusOffice for Research Promotion, Department of the Hospital Management and Pharmacy, Verona University Hospital, Verona, Italy.
Carlo CastellaniCystic Fibrosis Centre, Verona University Hospital, Verona, Italy.
Faustina LalattaClinical Genetics Unit, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
Pierpaolo MastroiacovoAlessandra Lisi International Centre on Birth Defects and Prematurity, Rome, Italy.
Alberto Eugenio TozziMultifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children's Hospital IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk of adverse pregnancy outcomes can be minimized through the adoption of healthy lifestyles before pregnancy by women of childbearing age. Initiatives for promotion of preconception health may be difficult to implement. Internet can be used to build tailored health interventions through identification of the public's information needs. To this aim, we developed a semi-automatic web-based system for monitoring Google searches, web pages and activity on social networks, regarding preconception health.

methodsBased on the American College of Obstetricians and Gynecologists guidelines and on the actual search behaviors of Italian Internet users, we defined a set of keywords targeting preconception care topics. Using these keywords, we analyzed the usage of Google search engine and identified web pages containing preconception care recommendations. We also monitored how the selected web pages were shared on social networks. We analyzed discrepancies between searched and published information and the sharing pattern of the topics.

resultsWe identified 1,807 Google search queries which generated a total of 1,995,030 searches during the study period. Less than 10% of the reviewed pages contained preconception care information and in 42.8% information was consistent with ACOG guidelines. Facebook was the most used social network for sharing. Nutrition, Chronic Diseases and Infectious Diseases were the most published and searched topics. Regarding Genetic Risk and Folic Acid, a high search volume was not associated to a high web page production, while Medication pages were more frequently published than searched. Vaccinations elicited high sharing although web page production was low; this effect was quite variable in time.

conclusionOur study represent a resource to prioritize communication on specific topics on the web, to address misconceptions, and to tailor interventions to specific populations.

Indexed as

InternetPreconception CareFemaleHumansPatient Education as TopicPregnancy

Identifiers

PMID25879682
PMCPMC4399910

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Registered trials

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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.