Evidence map›Paper›PMID 34908515›Full record

ArticleHuman vaccines & immunotherapeutics2021

Are midwifery students ready for the COVID-19 vaccine? The decision to vaccinate and affecting factors.

Filiz Aslantekin-Özçoban, Mesude Uluşen, Hacer Yalnız-Dilcen, Elif Çilesiz

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

4 authors.

Filiz Aslantekin-ÖzçobanFaculty of Health Sciences, Department of Midwifery, Balikesir University, Balikesir, Turkey.ORCID 0000-0002-0402-6959
Mesude UluşenFaculty of Health Sciences, Department of Midwifery, Amasya University, Amasya, Turkey.ORCID 0000-0003-1582-4240
Hacer Yalnız-DilcenFaculty of Health Sciences, Department of Midwifery, Bartin University, Bartin, Turkey.ORCID 0000-0001-5911-7201
Elif ÇilesizFaculty of Health Sciences, Department of Midwifery, Amasya University, Amasya, Turkey.ORCID 0000-0002-7270-1194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to determine the decision of midwifery students, who are the midwives of the future, on getting the COVID-19 vaccine and affecting factors.

methodThe sample of this online cross-sectional study consisted of 1879 midwifery students in Turkey. The data

findingsAmong the participants, 65.7% (1235) did not want to get the COVID-19 vaccine. In this study, those who found childhood vaccines beneficial among the students, those reporting positive attitudes toward vaccinations and those who listened to the recommendations of health-care workers had higher rates of not wanting to get the COVID-19 vaccine. It was found that the students' decisions to get the vaccine were not affected by their health literacy levels. However, their attitudes toward vaccination were negatively effective, and their perceptions of COVID-19 causes were positively effective.

conclusionIn our study, the midwifery students who perceived the cause of COVID-19 as a conspiracy did not want to be vaccinated. Midwifery students should move away from the perception of conspiracy, and they should be informed about COVID-19 with scientific facts.

Indexed as

COVID-19MidwiferyChildCOVID-19 VaccinesCross-Sectional StudiesFemaleHumansPregnancySARS-CoV-2StudentsVaccinationCOVID-19 VaccinesCOVID-19 vaccine attitudeshealth literacymidwifery studentsperception of COVID-19 causes

Identifiers

PMID34908515
PMCPMC8903940

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.