COVID-19 Vaccination Coverage, Behaviors, and Intentions among Adults with Previous Diagnosis, United States
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The goal of the US coronavirus disease (COVID-19) vaccination campaign is to substantially reduce the overall burden of COVID-19 by preventing severe acute respiratory syndrome coronavirus (SARS-CoV-2) infections, reducing virus transmission, and reducing hospitalizations and deaths. Data from the
Whereas reasons for nonvaccination or undervaccination are multifactorial (4–8), studies suggest that persons with a previous diagnosis of COVID-19 are less likely to be vaccinated than are those who have not previously had COVID-19 (9). However,
Vaccination coverage and intentions to be vaccinated among persons who had a previous diagnosis of COVID-19 is unknown. Our goals with this study were to 1) compare vaccination coverage (>1 dose and receipt of all recommended doses) and intention to be vaccinated, by previous COVID-19 status; 2) examine factors associated with vaccination coverage and intention to be vaccinated and reasons for nonvaccination, by previous COVID-19 status; and 3) assess the correlation between state-level prevalence of previous COVID-19 diagnoses and COVID-19 vaccination coverage, by using data from a large, nationally representative household survey. Knowing the extent of gaps in vaccination coverage among those with and without a history of COVID-19, as well as reasons for these gaps, is necessary for designing and targeting effective interventions to improve vaccine uptake at the population level.
Methods
Survey Design
To help elucidate household experiences during the COVID-19 pandemic, we examined data from the
COVID-19 Questions
HPS questions cover COVID-19 diagnosis, vaccination coverage, vaccination intention, and reasons for not being vaccinated. COVID-19 diagnosis was assessed by the following question: “Has a doctor or other health care provider ever told you that you have COVID-19?” (yes/no/not sure). Because of the low numbers of responses in the not sure category (1 dose) was assessed with the following question: “Have you received a COVID-19 vaccine?” (yes/no). Adults who reported having received >1 dose were asked: “Did you receive (or do you plan to receive) all required doses?” (Yes, received all required doses/Yes, plan to receive all required doses/No, don’t plan to receive all required doses). Full vaccination coverage was defined as a response that all required doses have been received.
Among adults who did not receive any COVID-19 vaccinations, we assessed future vaccination intentions by asking, “Once a vaccine to prevent COVID-19 is available to you, would you… definitely, probably, be unsure about, probably not, or definitely not get(ting) a vaccine.” Because the vaccination intention questions were asked only of those who were not vaccinated, assessing intention over time would show bias as more persons got vaccinated (reducing the sample size of those who are asked about intention). To reduce this potential for bias, the denominator for vaccination intention was everyone in the sample, including those who were vaccinated. We categorized unvaccinated respondents who did not definitely plan to be vaccinated as uncertain (those who probably will get vaccinated or are unsure about getting vaccinated) or reluctant (those who probably will not or definitely will not get vaccinated). Because of the low numbers of respondents who definitely would get vaccinated (65 years, gender (male/female/transgender or other), race/ethnicity (non-Hispanic White/non-Hispanic Black/Hispanic/non-Hispanic Asian/non-Hispanic other or multiple races), educational attainment (less than high school/some college or college graduate/above college graduate), annual household income (
Analyses
We analyzed prevalence of previous COVID-19 infection overall and by sociodemographic characteristics. We determined the association between previous COVID-19 diagnosis and COVID-19 vaccination coverage (>1 dose and receipt of all required doses) by using multivariable regression analyses adjusted for sociodemographic variables (age group, gender, race/ethnicity, educational status, annual household income, insurance status, household size, and housing structure). We also examined factors associated with COVID-19 vaccination coverage (>1 dose and receipt of all required doses) stratified by previous COVID-19 disease status. Furthermore, intention to get vaccinated (uncertain/reluctant) was analyzed by previous COVID-19 disease status overall and by sociodemographic characteristics. We assessed factors associated with vaccination intention (uncertain/reluctant) stratified by previous COVID-19 disease status in multivariable analyses by using adjusted prevalence ratio (aPR). Reasons for not getting vaccinated were assessed by previous COVID-19 disease status. Proportions and 95% CIs for reasons for not getting vaccinated were examined by intention categories (uncertain/reluctant). We created a scatterplot of state-level prevalence of previous COVID-19 infection and vaccination coverage and determined R2 for the correlation between the 2 variables. We conducted contrast tests for the differences in proportions, comparing each category to the referent category and comparing those who ever and never had a COVID-19 diagnosis with a 0.05 significance level (α = 0.05). We used Stata 16.1 (17) to account for the survey design and weights to ensure a nationally representative sample. Unless otherwise noted, all results presented in this report are significant at p65 years (Table 1). Most (62%) were non-Hispanic White, 17% were Hispanic, 11% were non-Hispanic Black, 6% were non-Hispanic Asian, and 4% were non-Hispanic
other/multiple race. More than 60% had at least some college education, 32% had annual household incomes of >
COVID-19 Infection and Vaccine Receipt
Nationally, 15% of adults had a previous diagnosis of COVID-19 (Table 1). Prevalence of having a positive history of COVID-19 infection was highest among adults 18–49 years of age (17%), Hispanic adults (21%), and adults with high school education or less (16%) compared with their respective counterparts (Table 1). Moreover, respondents living in larger households were more likely to report having been infected with COVID-19 (20% among households with >6 persons) compared with those living in smaller households (12% among households with 1 dose and full vaccination) was lower among those who ever had COVID-19 than those who had no history of COVID-19 infection (Table 2). For example, those with a history of COVID-19 were 0.88 (95% CI 0.86–0.91) times as likely to get >1 COVID-19 vaccination and 0.86 (95% CI 0.84–0.89) times as likely to be fully vaccinated. Across all sociodemographic characteristics, vaccination coverage (>1 dose and full vaccination) was lower among those with a history of COVID-19 infection than among those who never had COVID-19 (Appendix Table 1). Among those with a history of COVID-19, factors associated with lower vaccination coverage (>1 dose) were being male (aPR 0.93, 95% CI 0.88–0.99) and living in larger households (>6 persons: aPR 0.87, 95% CI 0.77–0.99) compared with their respective counterparts. Being Hispanic (aPR 1.11, 95% CI 1.01–1.22), non-Hispanic Asian (aPR 1.21, 95% CI 1.10–1.32), having a high education level (above college degree: aPR 1.18, 95% CI 1.11–1.26), and high income (>
Figure
Figure. COVID-19 vaccination coverage estimates and prevalence of previous COVID-19 infection by state,
Across all states, prevalence of previous COVID-19 infection was inversely proportional to COVID-19 vaccination coverage (R2 = 0.4074) (Figure). For example, in
Vaccination Intentions
Intention to get vaccinated and factors associated with vaccination also differed by previous COVID-19 status (Appendix Table 2). The proportion of adults who were uncertain about vaccination was higher among those with a previous COVID-19 diagnosis (10%) than among those without (5%), and the proportion of adults who were reluctant about vaccination was higher among those with a previous COVID-19 diagnosis (14%) than among those without (9%). Across most socioeconomic characteristics, the proportion of uncertain and reluctant adults was also higher among those who ever had COVID-19 than among those who never had COVID-19. Furthermore, factors associated with being uncertain differed by COVID-19 case status. For example, being non-Hispanic Black was associated with being uncertain about getting vaccinated among those who never had COVID-19 (aPR 1.68, 95% CI 1.34–2.12) but not among those who ever had COVID-19. Furthermore, having high educational levels (above college graduate: aPR 0.29, 95% CI 0.22–0.38) and high income levels (>
Reasons for not getting vaccinated differed among those with and without a previous COVID-19 diagnosis (Table 3). Among uncertain and reluctant adults, a higher percentage of respondents who ever had COVID-19, compared with those who never had COVID-19, reported concerns about possible side effects (71% vs. 57%), lack of doctor recommendation (15% vs. 9%), and other reasons (30% vs. 22%).
Discussion
Despite the availability of COVID-19 vaccines in
We found that prevalence of COVID-19 diagnoses and vaccination levels vary widely across states. In states with lowest vaccination coverage, prevalence of cases was highest. Previous studies have shown that persons in the South and Midwest were less likely to be vaccinated than were those in other areas of
Adding to existing literature, we found that reluctance to get vaccinated (i.e., those who probably will not or definitely will not get vaccinated) was higher among all adults who ever had COVID-19 and by most socioeconomic characteristics. Reluctance to get vaccinated was highest among adults who were younger, identified as part of a non-Hispanic other racial/ethnic group, had lower educational attainment or lower household income, had no health insurance, lived in larger households, and lived in other transient settings (e.g., mobile homes, boats, vans, or recreational vehicles). These results suggest the need to focus interventions on groups already vulnerable to infection from COVID-19, including those living in larger households (which may be multigenerational) and adults living in transient homes.
The first limitation of our study involves representativeness of the sample. Although sampling methods and data weighting were designed to produce nationally representative results, respondents might not be fully representative of the general US adult population (28). Second, vaccination status and COVID-19 diagnosis were self-reported and subject to misclassification. Although prevalence of previous COVID-19 diagnosis for this sample was 15%, studies have found that >1 in 3 Americans had COVID-19 in 2020; this percentage is likely to be higher in
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