Evidence map›Paper›PMID 36809232›Full record

ArticlePsychology, health & medicine

Tracking COVID-19 vaccination expectancies and vaccination refusal in the United States.

Michael Hennessy, Amy Bleakley, Jessica B Langbaum

Abstract read
In one paragraph

Article in Psychology, health & medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael HennessyDepartment of Communication, University of Delaware, Newark, DE, United States.
Amy BleakleyDepartment of Communication, University of Delaware, Newark, DE, United States.
Jessica B LangbaumBanner Alzheimer's Institute, Phoenix, AZ, United States.

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9M
Establishing the science behind Alzheimer's recruitment registries: opportunities for increasing diversity and accelerating enrollment into trialsR01AG063954 · NIA · BANNER HEALTH · PI BLEAKLEY, AMY, LANGBAUM, JESSICA BROOKE · 2019 to 2023
$9.6M
NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG063954
6 · The paper itself

Abstract

To identify factors that predict COVID-19 vaccination refusal and show how expectancies affect vaccination acceptance for non-vaccinated adults, we used a monthly repeated cross-sectional sample from June/2021 to October/2021 to collect data on vaccination behaviors and predictor variables for 2,116 US adults over 50 years of age. Selection bias modeling - which is required when data availability is a result of behavioral choice - predicts two outcomes: (1) no vaccination vs. vaccination for the entire sample and (2) the effects of expectancy indices predicting vaccination Refuser vs. vaccination Accepters for the unvaccinated group. Vaccine refusers were younger and less educated, endorsed common misconceptions about the COVID-19 epidemic, and were Black. Vaccination expectancies were related to vaccination refusal in the unvaccinated eligible group: negative expectancies increased vaccine refusal, while positive expectancies decreased it. We conclude that behavior-related expectancies (as opposed to more stable psychological traits) are important to identify because they are often modifiable and provide a point of intervention, not just for COVID-19 vaccination acceptance but also for other positive health behaviors.

Indexed as

COVID-19COVID-19 VaccinesAdultCross-Sectional StudiesHumansMiddle AgedUnited StatesVaccinationVaccination RefusalCOVID-19 VaccinesCOVID-19 vaccination intentionExpectancy valuevaccine refusers

Identifiers

PMID36809232
PMCPMC10440367

What OpenQuestion holds

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LicenceTDM
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.