Evidence map›Paper›PMID 36933985›Full record

ArticleVaccine2023

Latent class analysis of medical mistrust and COVID-19 vaccine hesitancy among adults in the United States just prior to FDA emergency use authorization.

Phoebe A Lamuda, Ariel Azar, Bruce G Taylor, Elizabeth Flanagan Balawajder, Harold A Pollack, John A Schneider

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Phoebe A LamudaNORC, 55 East Monroe Street 30th Floor, Chicago, IL 60603, United States. Electronic address: Lamuda-Phoebe@norc.org.
Ariel AzarDepartment of Sociology, University of Chicago, 1126 East 59th Street, Chicago, IL 60637, United States; Center for International Social Science Research, University of Chicago, 5828 South University Avenue, Chicago, IL 60637, United States.
Bruce G TaylorNORC, 55 East Monroe Street 30th Floor, Chicago, IL 60603, United States.
Elizabeth Flanagan BalawajderNORC, 55 East Monroe Street 30th Floor, Chicago, IL 60603, United States.
Harold A PollackCrown Family School of Social Work, Policy, and Practice, University of Chicago, 969 E. 60th Street, Chicago, IL 60637, United States.
John A SchneiderDepartment of Medicine, University of Chicago, 5841 South Maryland Ave, MC 6092, Chicago, IL, United States.
National Opinion Research Center · USUniversity of Chicago · US

Funding

Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
NIDA NIH HHS U2C DA050098
6 · The paper itself

Abstract

Using a nationally representative household sample, we sought to better understand types of medical mistrust as a driver of COVID-19 vaccine hesitancy. We used survey responses to conduct a latent class analysis to classify respondents into categories and explained this classification as a function of sociodemographic and attitudinal variables using multinomial logistic regression models. We then estimated the probability of respondents agreeing to receive a COVID-19 vaccine conditional on their medical mistrust category. We extracted a five-class solution to represent trust. The high trust group (53.0 %) is characterized by people who trust both their doctors and medical research. The trust in own doctor group (19.0 %) trust their own doctors but is ambiguous when it comes to trusting medical research. The high distrust group (6.3 %) neither trust their own doctor nor medical research. The undecided group (15.2 %) is characterized by people who agree on some dimensions and disagree on others. The no opinion group (6.2 %) did not agree nor disagree with any of the dimensions. Relative to the high trust group, those who trust their own doctors are almost 20 percentage points less likely to plan to get vaccinated (average marginal effect (AME) = 0.21, p <.001), and those who have high distrust are 24 percentage points less likely (AME = -0.24, p <.001) to report planning to get the vaccine. Results indicate that beyond sociodemographic characteristics and political attitudes, people's trust archetypes on parts of the medical field significantly predict their probability of wanting to get vaccinated. Our findings suggest that efforts to combat vaccine hesitancy should focus on building capacity of trusted providers to speak with their patients and parents of their patients, to recommend COVID-19 vaccination and build a trusting relationship; and increase trust and confidence in medical research.

Indexed as

COVID-19 VaccinesVaccination HesitancyAdolescentAdultAgedAge DistributionAttitude to HealthEthnicityFemaleHumansMaleMiddle AgedRacial GroupsSex CharacteristicsTrustUnited StatesCOVID-19 VaccinesCOVID-19Medical mistrustVaccine hesitancy

Identifiers

PMID36933985
PMCPMC10008805
OpenAlexW4324069212

What OpenQuestion holds

Textmetadata
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.