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Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut
BACKGROUND: In the United States, distribution plans for the COVID-19 vaccination were established at the state level. However, some states, such as Connecticut, followed an age-based strategy without considering occupations or co-morbid conditions due to its simplicity in implementation. This strat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491089/ https://www.ncbi.nlm.nih.gov/pubmed/34326008 http://dx.doi.org/10.1016/j.jiph.2021.07.013 |
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author | Wang, Hui Xu, Ran Qu, Shijin Schwartz, Marlene Adams, Aaron Chen, Xiang |
author_facet | Wang, Hui Xu, Ran Qu, Shijin Schwartz, Marlene Adams, Aaron Chen, Xiang |
author_sort | Wang, Hui |
collection | PubMed |
description | BACKGROUND: In the United States, distribution plans for the COVID-19 vaccination were established at the state level. However, some states, such as Connecticut, followed an age-based strategy without considering occupations or co-morbid conditions due to its simplicity in implementation. This strategy raised concerns about exacerbating health inequities because it did not prioritize vulnerable communities, specifically, minorities and low-income groups. The study aims to examine the vaccination inequities among different population groups for people aged 65+. METHODS: A cross-sectional analysis of quantile-based independent sample t-test was employed to examine the relationship between eight social vulnerability indices (SVIs, i.e., below poverty, unemployed, without high school diploma, disability, minority, speaks English less than well, no vehicle, and mobile homes) and vaccination rates at the town level in Connecticut during the second phase of the vaccine distribution plan when individuals aged 65 and over were eligible. Negative binomial regressions were employed to further justify the relationships between SVIs and vaccination rates. RESULTS: The report shows that the differences in vaccination rates were statistically significant between the most vulnerable and the least vulnerable towns with respect to six SVIs (i.e., below poverty, without high school diploma, disability, minority, speaks English less than well, and no vehicle). The vaccination gap was greater for people aged 75+ than people aged 65–74. Among the selected SVIs, below poverty was negatively correlated with the vaccination rate for 75+, and without high school diploma was negatively correlated with both rates. CONCLUSIONS: This report reveals the significant health inequities in COVID-19 vaccination among the elderly population at the early vaccination phase. It can shed insights into health policy initiatives to improve vaccination coverage in the elderly communities, such as promoting onsite scheduling and increasing at-home vaccination services. |
format | Online Article Text |
id | pubmed-8491089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84910892021-10-05 Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut Wang, Hui Xu, Ran Qu, Shijin Schwartz, Marlene Adams, Aaron Chen, Xiang J Infect Public Health Short Communication BACKGROUND: In the United States, distribution plans for the COVID-19 vaccination were established at the state level. However, some states, such as Connecticut, followed an age-based strategy without considering occupations or co-morbid conditions due to its simplicity in implementation. This strategy raised concerns about exacerbating health inequities because it did not prioritize vulnerable communities, specifically, minorities and low-income groups. The study aims to examine the vaccination inequities among different population groups for people aged 65+. METHODS: A cross-sectional analysis of quantile-based independent sample t-test was employed to examine the relationship between eight social vulnerability indices (SVIs, i.e., below poverty, unemployed, without high school diploma, disability, minority, speaks English less than well, no vehicle, and mobile homes) and vaccination rates at the town level in Connecticut during the second phase of the vaccine distribution plan when individuals aged 65 and over were eligible. Negative binomial regressions were employed to further justify the relationships between SVIs and vaccination rates. RESULTS: The report shows that the differences in vaccination rates were statistically significant between the most vulnerable and the least vulnerable towns with respect to six SVIs (i.e., below poverty, without high school diploma, disability, minority, speaks English less than well, and no vehicle). The vaccination gap was greater for people aged 75+ than people aged 65–74. Among the selected SVIs, below poverty was negatively correlated with the vaccination rate for 75+, and without high school diploma was negatively correlated with both rates. CONCLUSIONS: This report reveals the significant health inequities in COVID-19 vaccination among the elderly population at the early vaccination phase. It can shed insights into health policy initiatives to improve vaccination coverage in the elderly communities, such as promoting onsite scheduling and increasing at-home vaccination services. Elsevier 2021-10 2021-07-22 /pmc/articles/PMC8491089/ /pubmed/34326008 http://dx.doi.org/10.1016/j.jiph.2021.07.013 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Short Communication Wang, Hui Xu, Ran Qu, Shijin Schwartz, Marlene Adams, Aaron Chen, Xiang Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut |
title | Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut |
title_full | Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut |
title_fullStr | Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut |
title_full_unstemmed | Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut |
title_short | Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut |
title_sort | health inequities in covid-19 vaccination among the elderly: case of connecticut |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491089/ https://www.ncbi.nlm.nih.gov/pubmed/34326008 http://dx.doi.org/10.1016/j.jiph.2021.07.013 |
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