Evidence map›Paper›PMID 33570285›Full record

ArticleNursing open2021

Sources of get information and related factors during pregnancy among Afghan migrant women in Iran.

Mahnaz Sharifi, Leila Amiri-Farahani, Nourossadat Kariman, Syedeh Batool Hasanpoor-Azghady, Mina Amiri-Farahani

Abstract read
In one paragraph

Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Mahnaz SharifiDepartment of Reproductive Health and Midwifery, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
Leila Amiri-FarahaniDepartment of Reproductive Health and Midwifery, Nursing Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-3691-8246
Nourossadat KarimanMidwifery and Reproductive Health Research Center, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-8413-7175
Syedeh Batool Hasanpoor-AzghadyDepartment of Reproductive Health and Midwifery, Nursing Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
Mina Amiri-FarahaniShahid Chamran University of Ahvaz, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe present study aims to investigate the sources of information and its related factors among pregnant Afghan migrant women who reside in southeast Tehran Province, Iran.

designCross-sectional study.

methodsA total of 280 pregnant Afghan women who received care at the prenatal clinics of selected healthcare centres in southeast Tehran Province (Iran) in 2018 enrolled in this study. Data were collected by continuous sampling by a questionnaire that asked about demographic, obstetric and sources of information used during pregnancy.

resultsThe most important sources of information accessed by pregnant Afghan women were healthcare providers (65.1%), family and friends (47.55%), the Internet (32.1%) and media (18.9%). There was statistically a significant relationship between sources of information and education level, number of children, length of residence in Iran, place of birth and insurance status.

Indexed as

Transients and MigrantsChildCross-Sectional StudiesFemaleHumansIranPregnancyPregnant PeopleSurveys and Questionnairesinformation seekingmigrantpregnant womensource of information

Identifiers

PMID33570285
PMCPMC7877130

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.