Demographic Determinants and Geographical Variability of COVID-19 Vaccine Hesitancy in Underserved Communities: Cross-sectional Study

Autor: Jennifer L Matas, Latrice G Landry, LaTasha Lee, Shantoy Hansel, Makella S Coudray, Lina V Mata-McMurry, Nishanth Chalasani, Liou Xu, Taylor Stair, Christina Edwards, Gary Puckrein, William Meyer, Gary Wiltz, Marian Sampson, Paul Gregerson, Charles Barron, Jeffrey Marable, Olakunle Akinboboye, Dora Il'yasova
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: JMIR Public Health and Surveillance, Vol 9, p e34163 (2023)
Druh dokumentu: article
ISSN: 2369-2960
DOI: 10.2196/34163
Popis: BackgroundCOVID-19 hospitalizations and deaths disproportionately affect underserved and minority populations, emphasizing that vaccine hesitancy can be an especially important public health risk factor in these populations. ObjectiveThis study aims to characterize COVID-19 vaccine hesitancy in underserved diverse populations. MethodsThe Minority and Rural Coronavirus Insights Study (MRCIS) recruited a convenience sample of adults (age≥18, N=3735) from federally qualified health centers (FQHCs) in California, the Midwest (Illinois/Ohio), Florida, and Louisiana and collected baseline data in November 2020-April 2021. Vaccine hesitancy status was defined as a response of “no” or “undecided” to the question “Would you get a coronavirus vaccine if it was available?” (“yes” categorized as not hesitant). Cross-sectional descriptive analyses and logistic regression models examined vaccine hesitancy prevalence by age, gender, race/ethnicity, and geography. The expected vaccine hesitancy estimates for the general population were calculated for the study counties using published county-level data. Crude associations with demographic characteristics within each region were assessed using the chi-square test. The main effect model included age, gender, race/ethnicity, and geographical region to estimate adjusted odds ratios (ORs) and 95% CIs. Interactions between geography and each demographic characteristic were evaluated in separate models. ResultsThe strongest vaccine hesitancy variability was by geographic region: California, 27.8% (range 25.0%-30.6%); the Midwest, 31.4% (range 27.3%-35.4%); Louisiana, 59.1% (range 56.1%-62.1%); and Florida, 67.3% (range 64.3%-70.2%). The expected estimates for the general population were lower: 9.7% (California), 15.3% (Midwest), 18.2% (Florida), and 27.0% (Louisiana). The demographic patterns also varied by geography. An inverted U-shaped age pattern was found, with the highest prevalence among ages 25-34 years in Florida (n=88, 80.0%,) and Louisiana (n=54, 79.4%; P
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