Evidence map›Paper›PMID 34745315›Full record

ArticleInternational journal of osteopathic medicine : IJOM2021

Perceptions of COVID-19 vaccines among osteopathic medical students (OMS).

Taysir Al Janabi, Ravi Chinsky, Maria A Pino

Abstract read
In one paragraph

Article in International journal of osteopathic medicine : IJOM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

3 authors.

Taysir Al JanabiNew York Institute of Technology College of Osteopathic Medicine (NYITCOM), 101 Northern Blvd, Glen Head, NY 11545- 1980, USA.
Ravi ChinskyNew York Institute of Technology College of Osteopathic Medicine (NYITCOM), 101 Northern Blvd, Glen Head, NY 11545- 1980, USA.
Maria A PinoNew York Institute of Technology College of Osteopathic Medicine (NYITCOM), 101 Northern Blvd, Glen Head, NY 11545- 1980, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has shown that physicians' recommendations are one of the top predictors for individuals to receive vaccines. This study examined the perceptions of new COVID-19 vaccines among the medical students at the X and the factors that influenced their opinions.

objectiveTo measure X students' perception of a new COVID-19 vaccine and the factors which drive their opinions.

methodsAn electronic survey of 37 questions was distributed to Osteopathic Medical Students (OMS I-IV) of X in October of 2020.

results1770 total students received the survey, and 197 responded (11%). 45% (88/197) of the respondents reported that they would receive new COVID-19 vaccines if they were available at the time of the survey, while 19% (37/197) reported that they had not yet decided. Confidence in the US healthcare system, pharmaceutical trust, the United States Food and Drug Administration's (FDA)'s minimum effectiveness level, adequate vaccine testing, additional vaccine dose, and antivaccine acquaintances were significant predictors of intended vaccine uptake.

conclusionsOur findings confirmed a low acceptance of the new COVID-19 vaccine among OMS students, which mirrored the general public's low acceptance rate. Better education of OMS about vaccination benefits and the vaccine development process may increase future immunization rates.

Indexed as

COVID-19Osteopathic medical studentsPandemicVaccinationVaccine hesitancy

Identifiers

PMID34745315
PMCPMC8560188

What OpenQuestion holds

Textmetadata
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Registered trials

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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.