Evidence map›Paper›PMID 35380510›Full record

ArticleHuman vaccines & immunotherapeutics2022

The COVID-19 vaccine concerns scale: Development and validation of a new measure.

Megan E Gregory, Sarah R MacEwan, Jonathan R Powell, Jaclyn Volney, Jordan D Kurth, Eben Kenah, Ashish R Panchal, Ann Scheck McAlearney

Open access · goldAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 3 institutions in 1 country.

Megan E GregoryDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA.
Sarah R MacEwanThe Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, OH, USA.
Jonathan R PowellNational Registry of Emergency Medical Technicians, Columbus, OH, USA.ORCID 0000-0003-3443-0247
Jaclyn VolneyThe Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, OH, USA.
Jordan D KurthNational Registry of Emergency Medical Technicians, Columbus, OH, USA.ORCID 0000-0001-6739-0726
Eben KenahDivision of Biostatistics, The Ohio State University College of Public Health, Columbus, OH, USA.
Ashish R PanchalThe Center for the Advancement of Team Science, Analytics, and Systems Thinking in Health Services and Implementation Science Research (CATALYST), College of Medicine, The Ohio State University, Columbus, OH, USA.ORCID 0000-0001-7382-982X
Ann Scheck McAlearneyDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA.
The Ohio State University · USNational Registry of Emergency Medical Technicians · USThe Ohio State University Wexner Medical Center · US

Funding

Project 3: Responding to Changing Serological and Viral Information around COVID-19 (RESPOND)U54CA260582 · NCI · OHIO STATE UNIVERSITY · PI MCALEARNEY, ANN SCHECK, OLTZ, EUGENE M · 2020 to 2024
$10.4M
NCI NIH HHS U54 CA260582
6 · The paper itself

Abstract

Reasons for COVID-19 hesitancy are multi-faceted and tend to differ from those for general vaccine hesitancy. We developed the COVID-19 Vaccine Concerns Scale (CVCS), a self-report measure intended to better understand individuals' concerns about COVID-19 vaccines. We validated the scale using data from a convenience sample of 2,281 emergency medical services providers, a group of professionals with high occupational COVID-19 risk. Measures included the CVCS items, an adapted Oxford COVID-19 vaccine hesitancy scale, a general vaccine hesitancy scale, demographics, and self-reported COVID-19 vaccination status. The CVCS had high internal consistency reliability (α = .89). A one-factor structure was determined by exploratory and confirmatory factor analyses (EFA and CFA), resulting in a seven-item scale. The model had good fit (

Indexed as

COVID-19COVID-19 VaccinesHumansReproducibility of ResultsSurveys and QuestionnairesVaccinationCOVID-19 VaccinesCOVID-19scale developmentscale validationsurveyVaccine hesitancy

Identifiers

PMID35380510
PMCPMC9196820
OpenAlexW4225516154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.