Evidence map›Paper›PMID 32901361›Full record

SynthesisArchives of women's mental health2021

The effect of the Internet on decision-making during pregnancy: a systematic review.

Ayşe Taştekin Ouyaba, Selma İnfal Kesim

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Archives of women's mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  8. Review
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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

2 authors.

Ayşe Taştekin OuyabaDepartment of Nursing, Faculty of Health Sciences, Afyonkarahisar Health Sciences University, Afyonkarahisar, Turkey. ayse.tastekin@hotmail.com.ORCID 0000-0002-5907-1140
Selma İnfal KesimAksehir Kadir Yallagöz School of Health, Department of Nursing, Selçuk University, Konya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this review is to explain how the Internet affects decision-making in pregnancy. A systematic review was carried out in accordance with the guidelines developed by the National Institute of Health Research at York University. The PubMed, EBSCOhost, Ulakbim Medical Database, Turkish Medline, Web of Science, and Scopus databases were scanned. Three keywords in the titles, abstracts, and keywords of the articles were searched for in the Medical Subject Headings: "Pregnancy," "Decision-making," and "Internet." A total of 1143 articles were found in the first screening. Duplicate articles were removed. The remaining articles were reviewed according to the inclusion criteria. Only articles about healthy pregnant women were accessed, and only full-text research articles published in English were used. Seventeen articles met the inclusion criteria. The sample size varied between 9 and 7092. Most studies reported that pregnant women use the Internet as a source of information about pregnancy. Pregnancy, development of the fetus, labor, neonatal health, and nutrition were the subjects most researched. It was found that women with a higher education, who were young, nulliparous, and primigravid, looked for more information on the Internet. The Internet affects decisions about the type of delivery, drug use in pregnancy, and physical activity. Using the Internet had a positive effect on the decision-making processes of pregnant women, increased their awareness, and had a visible effect on this process.

Indexed as

Pregnant PeopleText MessagingExerciseFemaleHumansInternetPregnancyDecision-makingInformationInternetPregnancySystematic review

Identifiers

What OpenQuestion holds

Textmetadata
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.