Evidence map›Paper›PMID 36222794›Full record

ArticleJMIR formative research2022

Information Resources Among Flemish Pregnant Women: Cross-sectional Study.

Dorien Lanssens, Inge M Thijs, Pauline Dreesen, Ann Van Hecke, Pascal Coorevits, Gitte Gaethofs, Joyce Derycke, Inge Tency

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. 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
1.7field-weighted citation impact, top 15% of its field
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, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia.International journal of environmental research and public health · 2023
    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

8 authors at 4 institutions in 1 country.

Dorien LanssensFaculty of Medicine and Life Sciences, Limburg Clinical Research Center, University of Hasselt, Hasselt, Belgium.ORCID https://orcid.org/0000-0003-2442-656X
Inge M ThijsFaculty of Medicine and Life Sciences, Limburg Clinical Research Center, University of Hasselt, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-9713-8721
Pauline DreesenFaculty of Medicine and Life Sciences, Limburg Clinical Research Center, University of Hasselt, Hasselt, Belgium.ORCID https://orcid.org/0000-0003-4165-6121
Ann Van HeckeDepartment Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.ORCID https://orcid.org/0000-0003-3576-7159
Pascal CoorevitsDepartment Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.ORCID https://orcid.org/0000-0002-6515-7514
Gitte GaethofsFaculty of Medicine and Life Sciences, Limburg Clinical Research Center, University of Hasselt, Hasselt, Belgium.ORCID https://orcid.org/0000-0002-9445-725X
Joyce DeryckeDepartment Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.ORCID https://orcid.org/0000-0001-9592-8300
Inge TencyDepartment Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.ORCID https://orcid.org/0000-0002-1688-5355
Ghent University · BEZiekenhuis Oost-Limburg · BEGhent University Hospital · BEHasselt University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been an exponential growth in the availability of apps, resulting in increased use of pregnancy apps. However, information on resources and use of apps among pregnant women is relatively limited.

objectiveThe aim of this study is to map the current information resources and the use of pregnancy apps among pregnant women in Flanders.

methodsA cross-sectional study was conducted, using a semistructured survey (April-June 2019) consisting of four different domains: (1) demographics; (2) use of devices; (3) sources of information; and (4) use of pregnancy apps. Women were recruited by social media, flyers, and paper questionnaires at prenatal consultations. Statistical analysis was mainly focused on descriptive statistics. Differences in continuous and categorical variables were tested using independent Student t tests and chi-square tests. Correlations were investigated between maternal characteristics and the women's responses.

resultsIn total, 311 women completed the entire questionnaire. Obstetricians were the primary source of information (268/311, 86.2%) for pregnant women, followed by websites/internet (267/311, 85.9%) and apps (233/311, 74.9%). The information that was most searched for was information about the development of the baby (275/311, 88.5%), discomfort/complaints (251/311, 80.7%) and health during pregnancy (248/311, 79.7%), administrative/practical issues (233/311, 74.9%), and breastfeeding (176/311, 56.6%). About half of the women (172/311, 55.3%) downloaded a pregnancy app, and primarily searched app stores (133/311, 43.0%). Pregnant women who are single asked their mothers (22/30, 73.3%) or other family members (13/30, 43.3%) for significantly more information than did married women (mother [in law]: 82/160, 51.3%, P=.02; family members: 35/160, 21.9%, P=.01). Pregnant women with lower education were significantly more likely to have a PC or laptop than those with higher education (72/73, 98.6% vs 203/237, 85.5%; P=.008), and to consult other family members for pregnancy information (30/73, 41.1% vs 55/237, 23.1%; P<.001), but were less likely to consult a gynecologist (70/73, 95.9% vs 198/237, 83.5%; P=.001). They also followed more prenatal sessions (59/73, 80.8% vs 77/237, 32.5%; P=.04) and were more likely to search for information regarding discomfort/complaints during pregnancy (65/73, 89% vs 188/237, 79.5%; P=.02). Compared to multigravida, primigravida were more likely to solicit advice about their pregnancy from other women in their social networks (family members: primigravida 44/109, 40.4% vs multigravida 40/199, 20.1%; P<.001; other pregnant women: primigravida 58/109, 53.2% vs multigravida 80/199, 40.2%; P<.03).

conclusionsHealth care professionals need to be aware that apps are important and are a growing source of information for pregnant women. Concerns rise about the quality and safety of those apps, as only a limited number of apps are subjected to an external quality check. Therefore, it is important that health care providers refer to high-quality digital resources and take the opportunity to discuss digital information with pregnant women.

Indexed as

cross-sectionalmaternalmaternitymHealthmobile appmobile healthpregnancypregnancy apppregnantquestionnairesurveyuser expectationuser experienceuser need

Identifiers

PMID36222794
PMCPMC9597425
OpenAlexW4283710085

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.