Evidence map›Paper›PMID 33771111›Full record

ArticleBMC pregnancy and childbirth2021

Explaining the concept of maternal health information verification and assessment during pregnancy: a qualitative study.

Safoura Taheri, Mahmoud Tavousi, Zohre Momenimovahed, Ashraf Direkvand-Moghadam, Nazanin Rezaei, Nasibeh Sharifi, Ziba Taghizadeh

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Parental COVID-19-related health information practises, sources, evaluations and needs: A qualitative interview study.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  10. 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

7 authors.

Safoura TaheriDepartment of Midwifery, School of Nursing & Midwifery, Ilam University of Medical Sciences, Ilam, Iran.
Mahmoud TavousiHealth Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Zohre MomenimovahedDepartment of Midwifery, School of Nursing and Midwifery, Qom University of Medical Sciences, Qom, Iran.
Ashraf Direkvand-MoghadamDepartment of Midwifery, School of Nursing & Midwifery, Ilam University of Medical Sciences, Ilam, Iran.
Nazanin RezaeiDepartment of Midwifery, School of Nursing & Midwifery, Ilam University of Medical Sciences, Ilam, Iran.
Nasibeh SharifiDepartment of Midwifery, School of Nursing & Midwifery, Ilam University of Medical Sciences, Ilam, Iran.
Ziba TaghizadehDepartment of Midwifery and Reproductive Health, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran. zibataghizadeh@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnant women use information sources for their own health and health of their children. However, despite the importance of trusting the information sources, pregnant women may not have the ability to verify the maternal health information, which could have negative consequences for their health. The purpose of this study was to explain the concept of maternal health information verification and assessment in pregnant women according to their experiences and perception.

methodsThis is a qualitative study that was conducted in 2017 in Tehran, Iran. The participants in this study consisted of 19 pregnant women who were selected by purposeful sampling. To collect data, semi-structured, in-depth and face to face interviews were conducted with participants and continued until saturation of data. Conventional content analysis method was used to analyze the data and to identify concepts and synthesize them into general classes. MAXQDA software version 10 was used to manage the data.

resultsIn the process of data analysis, the concept of verification and assessment of maternal health information in pregnancy was explained in two main categories, including "Validity of information resources" and "Reliance on information resources." The category of Validity of information resources had two subcategories of valid and invalid sources, and the main category of Reliance on information resources had two subcategories of indicators of assurance, and confusion and trying to obtain assurance.

conclusionThe results indicated that pregnant women used various sources and indicators, as well as different evaluation methods to obtain information and verify it, especially when they are confused. Thus, health authorities and healthcare professionals should provide appropriate programs to familiarize mothers with credible sources, train pregnant women on standards and practices for judging the accuracy of information, and create a safe margin of information.

Indexed as

Information Seeking BehaviorMaternal HealthAdolescentAdultData AccuracyData CollectionFemaleHealth EducationHealth LiteracyHumansIranMiddle AgedPregnancyPregnant PeopleQualitative ResearchYoung AdultHealth literacyIranPregnancyQualitative studyVerification and assessment of maternal health information

Identifiers

PMID33771111
PMCPMC7995715

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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.