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. 2021 Mar 30;181(7):1008–1011. doi: 10.1001/jamainternmed.2021.1445

Association of Race/Ethnicity With Likeliness of COVID-19 Vaccine Uptake Among Health Workers and the General Population in the San Francisco Bay Area

Kevin Grumbach 1,, Timothy Judson 2, Manisha Desai 3, Vivek Jain 4, Christina Lindan 5, Sarah B Doernberg 6, Marisa Holubar 7
PMCID: PMC8010643  PMID: 33783471

Abstract

This cross-sectional survey study investigates COVID-19 vaccine intentions among racially and ethnically diverse samples of health workers and the general population.


Surveys have demonstrated racial differences in the public’s willingness to receive a COVID-19 vaccine1,2 but have not directly compared vaccine intentions among health workers and the general public.3 We investigated COVID-19 vaccine intentions among racially and ethnically diverse samples of health workers and the general population.

Methods

We conducted a cross-sectional survey from November 27, 2020, to January 15, 2021, nested within 2 longitudinal cohort studies of prevalence and incidence of SARS-CoV-2 infection in 6 San Francisco Bay Area counties. The general population cohort comprised 3935 community-residing adults sampled from randomly selected households, and the medical center employee cohort comprised 2501 employees of 3 large medical centers, who volunteered for biweekly to monthly COVID-19 testing. The main outcome measure was likeliness of vaccine uptake, derived from 2 survey items: (1) “How likely are you to get an approved COVID-19 vaccine when it becomes available?” (using a 1-7 Likert scale anchored at “not at all likely” and “very likely”), and (2) “How early would you ideally like to receive the COVID-19 vaccine?” (asked of respondents scoring ≥3 on the first item). The survey also included items asking about reasons to get, and to not get, vaccinated. Respondents self-identified race/ethnicity (see eMethods in the Supplement for details on sampling and the survey instrument). Crude results were compared using 2-tailed χ2 tests, with P < .05 considered significant. Logistic regression models stratified by cohort tested association of race/ethnicity with vaccine willingness, adjusting for age, gender, and level of education. All statistical analyses were performed using SAS, version 9.4 (SAS Institute). American Association for Public Opinion Research Response Rate 1 definition was used.

The University of California, San Francisco, and Stanford Institutional Review Boards designated the general population cohort study a public health surveillance study and approved the medical center employee cohort study protocol. Written electronic informed consent was obtained at enrollment.

Results

A total of 3161 of 3935 (80.3%) participants in the general population cohort and 1803 of 2501 (72.1%) participants in the medical center employee cohort responded to the vaccine survey (Table). Although a higher proportion of medical center employees than members of the general population reported likeliness of vaccine uptake, racial/ethnic differences in likeliness were comparable in both cohorts (Figure). In the medical center cohort, the adjusted odds ratio (aOR) (95% CI) of likeliness of vaccine uptake relative to White respondents was 0.24 (0.10-0.60) for Black respondents, 0.50 (0.31-0.79) for Latinx respondents, 0.37 (0.27-0.51) for Asian respondents, 0.28 (0.15-0.53) for respondents of other races, and 0.49 (0.29-0.82) for respondents of multiple races. In the general population cohort, the aOR (95% CI) relative to White respondents was 0.29 (0.20-0.43) for Black respondents, 0.55 (0.43-0.71) for Latinx respondents, 0.57 (0.47-0.70) for Asian respondents, 0.62 (0.38-1.02) for respondents of other races, and 0.65 (0.46-0.92) for respondents of multiple races. Ratings of reasons to get vaccinated were similar across racial/ethnic groups, but Black, Latinx, and Asian respondents were significantly more likely than White respondents to endorse reasons to not get vaccinated, especially less confidence in the vaccine preventing COVID-19 (aOR [95% CI] for Black, Latinx, and Asian respondents having low confidence relative to White respondents, 2.39 [1.58-3.61], 2.04 [1.58-2.64], and 1.85 [1.51-2.27], respectively); less trust in companies making the vaccine (aOR [95% CI] for Black, Latinx, and Asian respondents having low trust relative to White respondents, 3.08 [2.00-4.73], 1.85 [1.38-2.48], and 1.34 [1.04-1.72], respectively); and more worry that government rushed the approval process (aOR [95% CI] for Black, Latinx, and Asian respondents relative to White respondents, 2.10 [1.44-3.05], 1.68 [1.34-2.10], and 1.81 [1.53-2.15], respectively).

Table. Characteristics of Respondents in the Medical Center Employee and General Population Cohorts.

Characteristic No. (%) P valuea
Medical center employee cohort (n = 1803) General population cohort (n = 3161)
Age categories
18-39 y 898 (49.8) 885 (28.0) <.001
40-64 y 851 (47.2) 1534 (48.5)
≥65 y 45 (2.5) 742 (23.5)
Unknown 9 (0.5) 0
Gender
Female 1348 (74.8) 1702 (53.8) NA
Male 343 (19.0) 1431 (45.3)
Other 8 (0.4) 27 (0.9)
Unknown 104 (5.8) 1 (0)
Race/ethnicity group
White 989 (54.9) 1928 (61.0) <.001
Black 23 (1.3) 116 (3.7)
Hispanic/Latinx 154 (8.5) 312 (9.9)
Asian 365 (20.2) 575 (18.2)
Multiple races 105 (5.8) 154 (4.9)
Other 50 (2.8) 73 (2.3)
Unknown 117 (6.5) 3 (0.1)
Education
Less than college 18 (1.0) 340 (10.8) <.001
College 689 (38.2) 1506 (47.6)
Higher than college 979 (54.3) 1261 (39.9)
Unknown 117 (6.5) 54 (1.7)
Occupation
Physician, advanced practitioner, nurse 1382 (76.7) NA NA
Pharmacist, therapist, technician 217 (12.0) NA
Other medical center occupation 204 (11.3) NA
Employed in health sector NA 258 (8.2)
Not employed in health sector NA 2903 (91.8)
Likeliness of vaccine uptake 1507 (83.6) 2071 (65.5) <.001

Abbreviation: NA, not applicable.

a

P values are from χ2 tests.

Figure. Likeliness of Vaccine Uptake by Cohort and Race/Ethnicity.

Figure.

Data shown are crude results.

Discussion

In this survey study including a diversity of racial/ethnic groups, occupational immersion in a health care setting did not offset disparities in COVID-19 vaccination intentions. We found that Asian individuals, multiracial individuals, and those of other races were more similar to Black and Latinx individuals than White individuals in their likeliness of vaccine uptake. Limitations of this study include that the sample was drawn from people sufficiently concerned about their risk of COVID-19 and trusting of research to volunteer for a study involving repeated COVID-19 testing and the survey not including additional domains, such as perceived access, that might influence reported likeliness of vaccine uptake. However, it is striking that even among individuals motivated to participate in a longitudinal COVID-19 testing study, there were racial/ethnic differences in COVID-19 vaccination intentions and concerns about the vaccine.

Black, Latinx, Asian, and Native American communities have borne a disproportionate toll of the COVID-19 pandemic in the US4; inequities in vaccination would compound these disparities. Our survey was fielded at the time of the first emergency use authorization of COVID-19 vaccines in the US. Vaccination rollout since then has revealed barriers to accessing vaccination among historically marginalized populations who are highly motivated to be vaccinated.5 Vaccination intentions must be understood as a deliberative and dynamic process; a focus on intentions must not distract from the importance of ensuring equitable access to vaccination.5 Special effort is required to reach historically marginalized populations, including those in health occupations, to support informed vaccination decision-making and facilitate access. Efforts must acknowledge a history of racism that has degraded the trustworthiness of health and medical science institutions among historically marginalized populations,6 undermined confidence in COVID-19 vaccines, and perpetuated inequitable access to care.

Supplement.

eMethods.

eReferences.

References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eMethods.

eReferences.


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