Evidence map›Paper›PMID 39759570›Full record

ArticleVaccine: X2025

Medical mistrust and COVID-19 vaccine attitudes and behavior: Findings from a population-based cohort study in Michigan.

Soomin Ryu, Akash Patel, Kristi L Allgood, Delvon T Mattingly, Jana L Hirschtick, Robert C Orellana, Nancy L Fleischer

Abstract read
In one paragraph

Article in Vaccine: X, 2025. 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

7 authors.

Soomin RyuDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, United States.
Akash PatelDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, United States.
Kristi L AllgoodDepartment of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, 212 Adriance Lab Road, College Station, TX, United States.
Delvon T MattinglyCenter for Health Equity Transformation and Department of Behavioral Science, College of Medicine, University of Kentucky, William R. Willard Medical Education Building, Lexington, KY, United States.
Jana L HirschtickAdvocate Aurora Health, Downers Grove, IL, United States.
Robert C OrellanaCDC Foundation, 600 Peachtree Street NE, Suite 1000, Atlanta, GA, United States.
Nancy L FleischerDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Uptake of COVID-19 vaccines has stalled in the U.S. Some studies suggest that medical mistrust may be a barrier, but evidence is limited due to cross-sectional designs or convenience sampling. Methods: We examined associations of medical mistrust with COVID-19 vaccine attitudes at baseline and vaccination uptake at follow-up using a population-based sample of Michigan adults with PCR-confirmed SARS-CoV-2 infection. We summed ratings for three items of the Medical Mistrust Index (MMI) to measure trust in healthcare providers. For vaccine attitudes, we averaged ratings for two items on importance of getting the COVID-19 vaccine. For vaccination uptake as ever receiving at least one dose of a COVID-19 vaccine. We conducted (1) linear regression models to examine cross-sectional associations between MMI and vaccine attitudes ( Results: The mean MMI score was 1.89. The mean of positive vaccine attitudes measure at baseline was 3.45 and the prevalence of receiving a vaccine at follow-up was 75.3 %. Higher MMI was associated with worse vaccine attitudes at baseline (coefficient = -0.64, 95 % confidence interval [CI]: -0.71, -0.56), and lower vaccine uptake at follow-up (adjusted risk ratio: 0.83, 95 % CI: 0.80, 0.86). Both associations were pronounced among non-Hispanic White and another non-Hispanic race and ethnicity individuals. Conclusions: Understanding drivers of medical mistrust may help rebuild public trust in healthcare systems to promote vaccine uptake and improve public health.

Indexed as

COVID-19Medical mistrustRacial disparitiesVaccinationVaccine attitudes

Identifiers

PMID39759570
PMCPMC11700294

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.