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 (n = 3865), (2) modified Poisson regression with robust standard errors to estimate prospective associations between MMI and vaccination uptake (n = 3741), and (3) effect modification and stratified analyses by race and ethnicity. 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.
| Original language | English |
|---|---|
| Article number | 100600 |
| Journal | Vaccine: X |
| Volume | 22 |
| DOIs | |
| State | Published - Jan 2025 |
Bibliographical note
Publisher Copyright:© 2024
Funding
We would like to thank the respondents who have generously shared their time and experiences with our study team. The authors also acknowledge support from the Michigan Department of Health and Human Services, the Michigan Public Health Institute, the University of Michigan Institute for Data Science, the University of Michigan Rogel Cancer Center, the University of Michigan Epidemiology Department, and the Centers for Disease Control and Prevention of the U.S. Department of Health and Human Services. The Michigan COVID-19 Recovery Surveillance Study has received funding from the Michigan Department of Health and Human Services, the Michigan Public Health Institute, the University of Michigan Institute for Data Science, the University of Michigan Rogel Cancer Center, and the University of Michigan Epidemiology Department. This manuscript is supported by the Centers for Disease Control and Prevention of the U.S. Department of Health and Human Services (HHS) funded by CDC/HHS through grant number 6 NU50CK000510–02-04.
| Funders | Funder number |
|---|---|
| Michigan Public Health Institute | |
| Rogel Cancer Center, University of Michigan | |
| University of Michigan Epidemiology Department | |
| MICHIGAN DEPARTMENT OF HEALTH AND HUMAN SERVICES | |
| U.S. Department of Health and Human Services | |
| Michigan Institute for Data Science, University of Michigan | |
| Michigan Diabetes Research Center, University of Michigan | |
| Centers for Disease Control and Prevention | 6 NU50CK000510–02-04 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- COVID-19
- Medical mistrust
- Racial disparities
- Vaccination
- Vaccine attitudes
ASJC Scopus subject areas
- Molecular Medicine
- General Immunology and Microbiology
- General Veterinary
- Public Health, Environmental and Occupational Health
- Infectious Diseases
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