Evidence mapPaperPMID 35632560Full record

ReviewVaccines2022

COVID-19 Vaccine Acceptance Rate and Its Factors among Healthcare Students: A Systematic Review with Meta-Analysis.

Muhammad Mainuddin Patwary, Mondira Bardhan, Md Zahidul Haque, Rabeya Sultana, Md Ashraful Alam, Matthew H E M Browning

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Muhammad Mainuddin PatwaryEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.ORCID 0000-0001-8895-9723
Mondira BardhanEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.ORCID 0000-0003-4642-1815
Md Zahidul HaqueEnvironment and Sustainability Research Initiative, Khulna 9208, Bangladesh.
Rabeya SultanaEnvironmental Science Discipline, Life Science School, Khulna University, Khulna 9208, Bangladesh.
Md Ashraful AlamDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.ORCID 0000-0002-7562-477X
Matthew H E M BrowningDepartment of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0003-2296-7602
Khulna University · BDClemson University · USThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare students are clinicians-in-training likely to come into contact with COVID-19 as much as other frontline healthcare professionals. It is therefore necessary to prioritize vaccinations for this group. We conducted a global systematic assessment of COVID-19 vaccine acceptance rates and related factors among healthcare students using the PubMed, Scopus, and Web of Science databases and keyword searches in March of 2022. We found 1779 articles with relevant information and 31 articles that matched our inclusion criteria. We performed a random-effects meta-analysis and quality assessment using the eight-item Joanna Briggs Institute Critical Appraisal test for cross-sectional studies. A total of 30,272 individuals from 16 countries were studied. Most of the studies were carried out in the U.S. (

Indexed as

COVID-19frontline workershealthcare studentsmeta-analysisSARS-CoV-2vaccinevaccine acceptancevaccine hesitancy

Identifiers

PMID35632560
PMCPMC9143226
OpenAlexW4280525983

What Socratic 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 Socratic graph.