Qureshi NS, Miller LG, Judge SP, Tran NDT, Henderson SO. Characterizing predictors of COVID-19 vaccine refusal in an urban southern California jail population.
Vaccine 2024;
42:777-781. [PMID:
38195263 DOI:
10.1016/j.vaccine.2024.01.017]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 12/28/2023] [Accepted: 01/03/2024] [Indexed: 01/11/2024]
Abstract
BACKGROUND
Correctional populations have been disproportionately affected by COVID-19, and many large outbreaks have occurred in jails and prisons. Vaccination is a key strategy to reduce the SARS-CoV-2 transmission in carceral settings. Although implementation can be challenging due to vaccine hesitancy and medical mistrust, correctional settings provide largely equitable healthcare access and present a unique opportunity to identify potential predictors of vaccine hesitancy independent of access issues.
METHODS
We retrospectively analyzed electronic health record data for individuals offered COVID-19 vaccination at the Los Angeles County Jail between January 19, 2021, and January 31, 2023, and used multivariable logistic regression to determine predictors of COVID-19 vaccine refusal.
RESULTS
Of the 21,424 individuals offered COVID-19 vaccination, 2,060 (9.6 %) refused. Refusal was associated with male sex ([aOR] = 2.3, 95 % CI (1.9, 2.8)), age 18-34 ([aOR] = 1.2, 95 % CI (1.1, 1.4), referent group: age 45-54), Black race ([aOR] = 1.2, 95 % CI (1.1, 1.4)), reporting ever being houseless ([aOR] = 1.2, 95 % CI (1.1, 1.3)), and having a history of not receiving influenza vaccination while incarcerated ([aOR] = 2.4, 95 % CI (2.0, 2.8)). When analyzing male and female populations separately, male-specific trends reflected those seen in the overall population, whereas the only significant predictor of vaccine refusal in the female population was not receiving influenza vaccination while in custody ([aOR] = 6.5, 95 % CI (2.4, 17.6)).
CONCLUSION
Identifying predictors of vaccine refusal in correctional populations is an essential first step in the development and implementation of targeted interventions to mitigate vaccine hesitancy.
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