Evidence map›Paper›PMID 35188477›Full record

ReviewJMIR pediatrics and parenting2022

Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: Systematic Review.

Yu Lu, Laura A Barrett, Rebecca Z Lin, Muhammad Amith, Cui Tao, Zhe He

Abstract readReview
In one paragraph

Review in JMIR pediatrics and parenting, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Historically informed quality improvement: applying historical insights from Black women's maternity care to contemporary health service redesign.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
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  19. Information Gathering about Pregnancy, Birth, and Puerperium-Good and Fake Information.International journal of environmental research and public health · 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

6 authors.

Yu LuSchool of Information, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0002-9704-7950
Laura A BarrettSchool of Information, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0002-1048-5887
Rebecca Z LinWashington University School of Medicine at St. Louis, St. Louis, MO, United States.ORCID https://orcid.org/0000-0002-1469-0298
Muhammad AmithSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0003-4333-1857
Cui TaoSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID https://orcid.org/0000-0002-4267-1924
Zhe HeSchool of Information, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0003-3608-0244

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

backgroundUnderstanding consumers' health information needs across all stages of the pregnancy trajectory is crucial to the development of mechanisms that allow them to retrieve high-quality, customized, and layperson-friendly health information.

objectiveThe objective of this study was to identify research gaps in pregnancy-related consumer information needs and available information from different sources.

methodsWe conducted a systematic review of CINAHL, Cochrane, PubMed, and Web of Science for relevant articles that were published from 2009 to 2019. The quality of the included articles was assessed using the Critical Appraisal Skills Program. A descriptive data analysis was performed on these articles. Based on the review result, we developed the Pregnancy Information Needs Ontology (PINO) and made it publicly available in GitHub and BioPortal.

resultsA total of 33 articles from 9 countries met the inclusion criteria for this review, of which the majority were published no earlier than 2016. Most studies were either descriptive (9/33, 27%), interviews (7/33, 21%), or surveys/questionnaires (7/33, 21%); 20 articles mentioned consumers' pregnancy-related information needs. Half (9/18, 50%) of the human-subject studies were conducted in the United States. More than a third (13/33, 39%) of all studies focused on during-pregnancy stage; only one study (1/33, 3%) was about all stages of pregnancy. The most frequent consumer information needs were related to labor delivery (9/20, 45%), medication in pregnancy (6/20, 30%), newborn care (5/20, 25%), and lab tests (6/20, 30%). The most frequently available source of information was the internet (15/24, 63%). PINO consists of 267 classes, 555 axioms, and 271 subclass relationships.

conclusionsOnly a few articles assessed the barriers to access to pregnancy-related information and the quality of each source of information; further work is needed. Future work is also needed to address the gaps between the information needed and the information available.

Indexed as

fertilityhealth databaseinformation needsonline informationontologyparentingpregnancypregnancy informationsystematic review

Identifiers

PMID35188477
PMCPMC8902674

What OpenQuestion 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 OpenQuestion graph.