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Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center
BACKGROUND: COVID-19 vaccine hesitancy in the United States is high, with at least 63 million unvaccinated individuals to date. Socioeconomically disadvantaged populations experience lower COVID-19 vaccination rates despite facing a disproportionate COVID-19 burden. OBJECTIVE: To assess the factors...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291217/ https://www.ncbi.nlm.nih.gov/pubmed/37350465 http://dx.doi.org/10.1177/21501319231181881 |
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author | Lalika, Mathias Woods, Cynthia Patel, Aarti Scott, Christopher Lee, Alexander Weis, Jennifer Jones, Clarence Abbenyi, Adeline Brockman, Tabetha A. Sia, Irene G. White, Richard O. Doubeni, Chyke A. Brewer, LaPrincess C. |
author_facet | Lalika, Mathias Woods, Cynthia Patel, Aarti Scott, Christopher Lee, Alexander Weis, Jennifer Jones, Clarence Abbenyi, Adeline Brockman, Tabetha A. Sia, Irene G. White, Richard O. Doubeni, Chyke A. Brewer, LaPrincess C. |
author_sort | Lalika, Mathias |
collection | PubMed |
description | BACKGROUND: COVID-19 vaccine hesitancy in the United States is high, with at least 63 million unvaccinated individuals to date. Socioeconomically disadvantaged populations experience lower COVID-19 vaccination rates despite facing a disproportionate COVID-19 burden. OBJECTIVE: To assess the factors associated with COVID-19 vaccine acceptance among under-resourced, adult patients. METHODS: Participants were patients receiving care at a Federally Qualified Health Center (FQHC) in St. Paul, Minnesota. Data were collected via multiple modes over 2 phases in 2020 (self-administered electronic survey) and 2021 (study team-administered survey by telephone, self-administered written survey) to promote diversity and inclusion for study participation. The primary outcome was COVID-19 vaccine acceptance. Using logistic regression analysis, associations between vaccine acceptance and factors including risk perception, concerns about the COVID-19 vaccine, social determinants of health (SDOH), co-morbidities, pandemic-induced hardships, and stress were assessed by adjusted odds ratios (AORs) and 95% confidence intervals (CI). RESULTS: One hundred sixty-eight patients (62.5% female; mean age [SD]: 49.9 [17.4] years; 32% <$20 000 annual household income; 69% <college education) were included in the study. Sixty-one percent of the patients received or were willing to receive the vaccine. Risk perception was positively associated with vaccine acceptance (AOR: 5.3; 95% CI: 2.5, 11.5, P < .001), while concerns about the vaccine (eg, safety, side effects, rapid development of the vaccine, etc.) were negatively associated with vaccine acceptance (all P < .001). SDOH, co-morbidities, pandemic-induced hardships were not associated with vaccine acceptance. CONCLUSIONS: Our study in a socioeconomically disadvantaged population suggests that risk perception is associated with an increased likelihood of vaccine acceptance, while concerns about the COVID-19 vaccine are associated with a lower likelihood of vaccine acceptance. As these factors could impact vaccine uptake, consistent, innovative, and context-specific risk communication strategies may improve vaccine coverage in this population. |
format | Online Article Text |
id | pubmed-10291217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-102912172023-06-27 Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center Lalika, Mathias Woods, Cynthia Patel, Aarti Scott, Christopher Lee, Alexander Weis, Jennifer Jones, Clarence Abbenyi, Adeline Brockman, Tabetha A. Sia, Irene G. White, Richard O. Doubeni, Chyke A. Brewer, LaPrincess C. J Prim Care Community Health Original Research BACKGROUND: COVID-19 vaccine hesitancy in the United States is high, with at least 63 million unvaccinated individuals to date. Socioeconomically disadvantaged populations experience lower COVID-19 vaccination rates despite facing a disproportionate COVID-19 burden. OBJECTIVE: To assess the factors associated with COVID-19 vaccine acceptance among under-resourced, adult patients. METHODS: Participants were patients receiving care at a Federally Qualified Health Center (FQHC) in St. Paul, Minnesota. Data were collected via multiple modes over 2 phases in 2020 (self-administered electronic survey) and 2021 (study team-administered survey by telephone, self-administered written survey) to promote diversity and inclusion for study participation. The primary outcome was COVID-19 vaccine acceptance. Using logistic regression analysis, associations between vaccine acceptance and factors including risk perception, concerns about the COVID-19 vaccine, social determinants of health (SDOH), co-morbidities, pandemic-induced hardships, and stress were assessed by adjusted odds ratios (AORs) and 95% confidence intervals (CI). RESULTS: One hundred sixty-eight patients (62.5% female; mean age [SD]: 49.9 [17.4] years; 32% <$20 000 annual household income; 69% <college education) were included in the study. Sixty-one percent of the patients received or were willing to receive the vaccine. Risk perception was positively associated with vaccine acceptance (AOR: 5.3; 95% CI: 2.5, 11.5, P < .001), while concerns about the vaccine (eg, safety, side effects, rapid development of the vaccine, etc.) were negatively associated with vaccine acceptance (all P < .001). SDOH, co-morbidities, pandemic-induced hardships were not associated with vaccine acceptance. CONCLUSIONS: Our study in a socioeconomically disadvantaged population suggests that risk perception is associated with an increased likelihood of vaccine acceptance, while concerns about the COVID-19 vaccine are associated with a lower likelihood of vaccine acceptance. As these factors could impact vaccine uptake, consistent, innovative, and context-specific risk communication strategies may improve vaccine coverage in this population. SAGE Publications 2023-06-23 /pmc/articles/PMC10291217/ /pubmed/37350465 http://dx.doi.org/10.1177/21501319231181881 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Lalika, Mathias Woods, Cynthia Patel, Aarti Scott, Christopher Lee, Alexander Weis, Jennifer Jones, Clarence Abbenyi, Adeline Brockman, Tabetha A. Sia, Irene G. White, Richard O. Doubeni, Chyke A. Brewer, LaPrincess C. Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center |
title | Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center |
title_full | Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center |
title_fullStr | Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center |
title_full_unstemmed | Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center |
title_short | Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center |
title_sort | factors associated with covid-19 vaccine acceptance among patients receiving care at a federally qualified health center |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291217/ https://www.ncbi.nlm.nih.gov/pubmed/37350465 http://dx.doi.org/10.1177/21501319231181881 |
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