Evidence map›Paper›PMID 37947193›Full record

ArticleHuman vaccines & immunotherapeutics2023

Identifying beliefs driving COVID-19 vaccination: Lessons for effective messaging.

Sarah R MacEwan, Eben Kenah, Graham N Dixon, Jack Stevens, Leanna Perez Eiterman, Jonathan R Powell, Christopher B Gage, Laura J Rush, Ashish R Panchal, Ann Scheck McAlearney

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Sarah R MacEwanDivision of General Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-4365-6232
Eben KenahDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Graham N DixonSchool of Communication, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA.
Jack StevensDepartment of Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA.
Leanna Perez EitermanThe 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.
Christopher B GageNational Registry of Emergency Medical Technicians, Columbus, OH, USA.
Laura J RushThe 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.
Ashish R PanchalNational Registry of Emergency Medical Technicians, Columbus, OH, USA.
Ann Scheck McAlearneyThe 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.

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
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
NCATS NIH HHS UL1 TR002733NCI NIH HHS U54 CA260582
6 · The paper itself

Abstract

Increasing vaccination acceptance has been essential during the COVID-19 pandemic and in preparation for future public health emergencies. This study aimed to identify messaging strategies to encourage vaccine uptake by measuring the drivers of COVID-19 vaccination among the general public. A survey to assess COVID-19 vaccination acceptance and hesitancy was advertised on Facebook in February-April 2022. The survey included items asking about COVID-19 vaccination status and participant demographics, and three scales assessing medical mistrust, perceived COVID-19 risk, and COVID-19 vaccine confidence (adapted from the Oxford COVID-19 vaccine confidence and complacency scale). The main outcome was vaccination, predicted by patient demographics and survey scale scores. Of 1,915 survey responses, 1,450 (75.7%) were included, with 1,048 (72.3%) respondents reporting they had been vaccinated. In a multivariable regression model, the COVID-19 vaccine confidence scale was the strongest predictor of vaccination, along with education level and perceived COVID-19 risk. Among the items on this scale, not all were equally important in predicting COVID-19 vaccination. The items that best predicted vaccination, at a given score on the COVID-19 vaccine confidence scale, included confidence that vaccine side effects are minimal, that the vaccine will work, that the vaccine will help the community, and that the vaccine provides freedom to move on with life. This study improved our understanding of perceptions most strongly associated with vaccine acceptance, allowing us to consider how to develop messages that may be particularly effective in encouraging vaccination among the general public for both the COVID-19 pandemic and future public health emergencies.

Indexed as

COVID-19COVID-19 VaccinesEmergenciesHumansPandemicsTrustVaccinationCOVID-19 VaccinescommunicationCOVID-19 vaccinepublic healthsurveyvaccine hesitancy

Identifiers

PMID37947193
PMCPMC10653659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.