Evidence map›Paper›PMID 39555242›Full record

ArticleVaccine: X2024

Trust in the science behind COVID-19 vaccines as a driver of vaccine acceptance in the United States, 2021-2023.

Trenton M White, Katarzyna Wyka, Kenneth Rabin, Ayman El-Mohandes

Abstract read
In one paragraph

Article in Vaccine: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors.

Trenton M WhiteGraduate School of Public Health & Health Policy, City University of New York (CUNY), New York City, United States.
Katarzyna WykaGraduate School of Public Health & Health Policy, City University of New York (CUNY), New York City, United States.
Kenneth RabinGraduate School of Public Health & Health Policy, City University of New York (CUNY), New York City, United States.
Ayman El-MohandesGraduate School of Public Health & Health Policy, City University of New York (CUNY), New York City, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate changes in public trust in the science behind COVID-19 vaccines in the United States (US) from 2021 to 2023, and to assess how loss of a family member or close friend to COVID-19, influences this trust and vaccine acceptance. Methods: Using stratified random sampling for key demographic variables, including age, gender, race/ethnicity, region, and education level, the study analyzes data from a series of cross-sectional surveys conducted in 2021, 2022 and 2023. Descriptive statistics were employed to summarize the socio-demographic characteristics of the respondents and their levels of trust in science and vaccine acceptance. Weighted logistic regression models were applied to assess the relationships between trust in science, vaccine acceptance, and socio-demographic factors. These models controlled for potential confounding variables and allowed for the estimation of adjusted odds ratios (aOR) and 95% confidence intervals (CI), highlighting the key predictors of vaccine acceptance and willingness to receive future recommended boosters. Results: The results indicate that trust in science remained relatively stable over the study period and continued to be a strong predictor of vaccine acceptance, which was higher among male respondents, those with university degrees, and those with higher than median income. Notably, the experience of personal loss was significantly related to an individual's trust in science and vaccine acceptance. Conclusions: Trust in the science behind COVID-19 vaccines appears to have been a crucial factor in US vaccine acceptance, with respondents who expressed higher trust being significantly more likely to accept the vaccine and express willingness to take future boosters. To maintain and enhance public trust in vaccination programs, trust in health communication from public sources, particularly the CDC, must be strengthened, as trust in the CDC was also found to be significantly correlated with both vaccine acceptance and future booster uptake. Personal experiences of loss due to COVID-19 were important predictors of trust in science and vaccine acceptance, highlighting the need for public health communications to be sensitive to the emotional impact of loss and grief along with the diverse socio-economic and educational backgrounds of the US population.

Indexed as

COVID-19PandemicSurveyTrust in scienceVaccine acceptance

Identifiers

PMID39555242
PMCPMC11566880

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.