Evidence map›Paper›PMID 36417253›Full record

ArticleEpidemiologia (Basel, Switzerland)2022

To Boost or Not to Boost: Acceptability of a COVID-19 Booster Dose among Osteopathic Medical Students: A Cross-Sectional Study from a Medical School in New York.

Taysir Al Janabi, Maria Pino

Open access · goldAbstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Taysir Al JanabiNew York Institute of Technology, College of Osteopathic Medicine (NYITCOM), Glen Head, NY 11545, USA.
Maria PinoNew York Institute of Technology, College of Osteopathic Medicine (NYITCOM), Glen Head, NY 11545, USA.
New York Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic continues to evolve, with new variants emerging and vaccine-induced immunity waning. Protecting and retaining the healthcare force remains crucial in fighting this pandemic, as healthcare workers (HCWs) are a critical driver in increasing vaccine uptake among the public. This study explored the uptake of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) booster shots among medical students at the New York Institute of Technology College of Osteopathic Medicine (NYITCOM). Predictors for actual booster uptake were also examined. An electronic survey was distributed to Osteopathic Medical Students (OMS I-IV) in January 2022. The survey was distributed to 1762 students total, with 319 responses received (18%). Of those who responded, 70.2% (224/319) reported that they had already received a booster, while 29.5% (94/319) reported they had not yet received it. We identified that pharmaceutical mistrust, building long-lasting immunity via vaccines, and vaccines' adverse effects were the most significant predictors for how willing participants were to accept a booster dose. Vaccine hesitancy around the COVID-19 booster was prevalent during the surge of the highly transmissible variant Omicron. This finding necessitates some evidence-based approaches to enhance booster uptake among a population subgroup whose impact is critical.

Indexed as

COVID-19COVID-19 boosterCOVID-19 vaccinehealthcare workersmedical studentsosteopathic medical studentspandemicvaccinationvaccine uptake

Identifiers

PMID36417253
PMCPMC9620892
OpenAlexW4224999581

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.