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      Racial and ethnic disparities in COVID-19 booster vaccination among U.S. older adults differ by geographic region and Medicare enrollment

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          Abstract

          Introduction

          COVID-19 booster vaccines are highly effective at reducing severe illness and death from COVID-19. Research is needed to identify whether racial and ethnic disparities observed for the primary series of the COVID-19 vaccines persist for booster vaccinations and how those disparities may vary by other characteristics. We aimed to measure racial and ethnic differences in booster vaccine receipt among U.S. Medicare beneficiaries and characterize potential variation by demographic characteristics.

          Methods

          We conducted a cohort study using CVS Health and Walgreens pharmacy data linked to Medicare claims. We included community-dwelling Medicare beneficiaries aged ≥66 years who received two mRNA vaccine doses (BNT162b2 and mRNA-1273) as of 8/1/2021. We followed beneficiaries from 8/1/2021 until booster vaccine receipt, death, Medicare disenrollment, or end of follow-up (12/31/2021). Adjusted Poisson regression was used to estimate rate ratios (RRs) and 95% confidence intervals (CIs) comparing vaccine uptake between groups.

          Results

          We identified 11,339,103 eligible beneficiaries (mean age 76 years, 60% female, 78% White). Overall, 67% received a booster vaccine (White = 68.5%; Asian = 67.0%; Black = 57.0%; Hispanic = 53.3%). Compared to White individuals, Black (RR = 0.78 [95%CI = 0.78–0.78]) and Hispanic individuals (RR = 0.72 [95% = CI 0.72–0.72]) had lower rates of booster vaccination. Disparities varied by geographic region, urbanicity, and Medicare plan/Medicaid eligibility. The relative magnitude of disparities was lesser in areas where vaccine uptake was lower in White individuals.

          Discussion

          Racial and ethnic disparities in COVID-19 vaccination have persisted for booster vaccines. These findings highlight that interventions to improve vaccine uptake should be designed at the intersection of race and ethnicity and geographic location.

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          Most cited references27

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          Effectiveness of COVID-19 booster vaccines against COVID-19-related symptoms, hospitalization and death in England

          Booster vaccination with messenger RNA (mRNA) vaccines has been offered to adults in England starting on 14 September 2021. We used a test-negative case–control design to estimate the relative effectiveness of a booster dose of BNT162b2 (Pfizer-BioNTech) compared to only a two-dose primary course (at least 175 days after the second dose) or unvaccinated individuals from 13 September 2021 to 5 December 2021, when Delta variant was dominant in circulation. Outcomes were symptomatic coronavirus disease 2019 (COVID-19) and hospitalization. The relative effectiveness against symptomatic disease 14–34 days after a BNT162b2 or mRNA-1273 (Moderna) booster after a ChAdOx1-S (AstraZeneca) and BNT162b2 as a primary course ranged from around 85% to 95%. Absolute vaccine effectiveness ranged from 94% to 97% and was similar in all age groups. Limited waning was seen 10 or more weeks after the booster. Against hospitalization or death, absolute effectiveness of a BNT162b2 booster ranged from around 97% to 99% in all age groups irrespective of the primary course, with no evidence of waning up to 10 weeks. This study provides real-world evidence of substantially increased protection from the booster vaccine dose against mild and severe disease irrespective of the primary course. A test-negative case–control analysis of data from the National Immunisation Management System in England demonstrates significant levels of increased protection against hospitalization or death from COVID with mRNA booster vaccines following a primary two-dose course of either ChAdOx1-S or BNT162b2 vaccines.
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            BNT162b2 Vaccine Booster and Mortality Due to Covid-19

            Background The emergence of the B.1.617.2 (delta) variant of severe acute respiratory syndrome coronavirus 2 and the reduced effectiveness over time of the BNT162b2 vaccine (Pfizer–BioNTech) led to a resurgence of coronavirus disease 2019 (Covid-19) cases in populations that had been vaccinated early. On July 30, 2021, the Israeli Ministry of Health approved the use of a third dose of BNT162b2 (booster) to cope with this resurgence. Evidence regarding the effectiveness of the booster in lowering mortality due to Covid-19 is still needed. Methods We obtained data for all members of Clalit Health Services who were 50 years of age or older at the start of the study and had received two doses of BNT162b2 at least 5 months earlier. The mortality due to Covid-19 among participants who received the booster during the study period (booster group) was compared with that among participants who did not receive the booster (nonbooster group). A Cox proportional-hazards regression model with time-dependent covariates was used to estimate the association of booster status with death due to Covid-19, with adjustment for sociodemographic factors and coexisting conditions. Results A total of 843,208 participants met the eligibility criteria, of whom 758,118 (90%) received the booster during the 54-day study period. Death due to Covid-19 occurred in 65 participants in the booster group (0.16 per 100,000 persons per day) and in 137 participants in the nonbooster group (2.98 per 100,000 persons per day). The adjusted hazard ratio for death due to Covid-19 in the booster group, as compared with the nonbooster group, was 0.10 (95% confidence interval, 0.07 to 0.14; P<0.001). Conclusions Participants who received a booster at least 5 months after a second dose of BNT162b2 had 90% lower mortality due to Covid-19 than participants who did not receive a booster.
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              A combined comorbidity score predicted mortality in elderly patients better than existing scores.

              To develop and validate a single numerical comorbidity score for predicting short- and long-term mortality, by combining conditions in the Charlson and Elixhauser measures. In a cohort of 120,679 Pennsylvania Medicare enrollees with drug coverage through a pharmacy assistance program, we developed a single numerical comorbidity score for predicting 1-year mortality, by combining the conditions in the Charlson and Elixhauser measures. We externally validated the combined score in a cohort of New Jersey Medicare enrollees, by comparing its performance to that of both component scores in predicting 1-year mortality, as well as 180-, 90-, and 30-day mortality. C-statistics from logistic regression models including the combined score were higher than corresponding c-statistics from models including either the Romano implementation of the Charlson Index or the single numerical version of the Elixhauser system; c-statistics were 0.860 (95% confidence interval [CI]: 0.854, 0.866), 0.839 (95% CI: 0.836, 0.849), and 0.836 (95% CI: 0.834, 0.847), respectively, for the 30-day mortality outcome. The combined comorbidity score also yielded positive values for two recently proposed measures of reclassification. In similar populations and data settings, the combined score may offer improvements in comorbidity summarization over existing scores. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                10 August 2023
                2023
                10 August 2023
                : 11
                : 1243958
                Affiliations
                [1] 1Center for Gerontology and Healthcare Research, Brown University School of Public Health , Providence, RI, United States
                [2] 2Department of Health Services, Policy, and Practice, Brown University School of Public Health , Providence, RI, United States
                [3] 3Department of Epidemiology, Brown University School of Public Health , Providence, RI, United States
                [4] 4Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center , Providence, RI, United States
                [5] 5Department of Medicine, Health, and Society, Vanderbilt University , Nashville, TN, United States
                [6] 6Walgreens Center for Health and Wellbeing Research, Walgreen Company , Deerfield, IL, United States
                [7] 7CVS Health, Safety Surveillance and Collaboration , Blue Bell, PA, United States
                [8] 8Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife , Boston, MA, United States
                [9] 9Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School , Boston, MA, United States
                [10] 10Division of Geriatrics, Warren Alpert Medical School of Brown University , Providence, RI, United States
                Author notes

                Edited by: MinJae Lee, University of Texas Southwestern Medical Center, United States

                Reviewed by: Gabriela Vazquez Benitez, HealthPartners Institute, United States; Sruthi Yekkaluri, University of Texas Southwestern Medical Center, United States; Sunanda Gaur, Rutgers, The State University of New Jersey, United States

                *Correspondence: Kaleen N. Hayes, kaley_hayes@ 123456brown.edu
                Article
                10.3389/fpubh.2023.1243958
                10456997
                37637796
                118498ac-ce9f-452a-89be-01017fd914e1
                Copyright © 2023 Hayes, Harris, Zullo, Chachlani, Wen, Smith-Ray, Djibo, McCarthy, Pralea, Singh, McMahill-Walraven, Taitel, Deng, Gravenstein and Mor.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 June 2023
                : 27 July 2023
                Page count
                Figures: 2, Tables: 1, Equations: 0, References: 40, Pages: 9, Words: 6682
                Funding
                Funded by: National Institute of Aging (NIA) of the National Institutes of Health
                Award ID: U54AG063546
                Funded by: NIA Imbedded Pragmatic Alzheimer’s Disease and AD-Related Dementias Clinical Trials Collaboratory (NIA IMPACT Collaboratory)
                Award ID: U54AG063546-S07
                Award ID: U54AG063546-S08
                Categories
                Public Health
                Brief Research Report
                Custom metadata
                Life-Course Epidemiology and Social Inequalities in Health

                mrna vaccines,covid-19,2019-ncov vaccine,healthcare disparities,aged,mrna-1273,bnt162b2 vaccine,booster vaccine

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