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504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons
BACKGROUND: Pregnant persons are at increased risk of complication from COVID-19. Vaccine coverage among pregnant persons has been low. The overall goal of this study was to determine whether unvaccinated pregnant persons cluster geographically and to assess individual and neighborhood factors assoc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677114/ http://dx.doi.org/10.1093/ofid/ofad500.573 |
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author | Zerbo, Ousseny Ray, Thomas Fireman, Bruce Layefsky, Evan Goddard, Kristin Ross, Pat Greenberg, Mara Klein, Nicola P |
author_facet | Zerbo, Ousseny Ray, Thomas Fireman, Bruce Layefsky, Evan Goddard, Kristin Ross, Pat Greenberg, Mara Klein, Nicola P |
author_sort | Zerbo, Ousseny |
collection | PubMed |
description | BACKGROUND: Pregnant persons are at increased risk of complication from COVID-19. Vaccine coverage among pregnant persons has been low. The overall goal of this study was to determine whether unvaccinated pregnant persons cluster geographically and to assess individual and neighborhood factors associated with failure to vaccinate. METHODS: The study setting was Kaiser Permanente Northern California (KPNC), an integrated healthcare delivery organization that provides comprehensive care to approximately 4.4 million members. This study included a cohort of pregnant persons who delivered between December 15, 2020 and September 30, 2022. Pregnant persons were considered vaccinated if they received mRNA COVID-19 vaccines any time before or during pregnancy. We used spatial scan statistics to identify geographical clusters of unvaccinated pregnant persons and determined individual and neighborhood factors associated with failure to vaccinate using multivariate logistic regression. RESULTS: Among 85,852 pregnant persons residing in Northern California, 46.6% were unvaccinated. Spatial analysis identified 5 clusters with high prevalence of unvaccinated pregnant persons. The proportion of unvaccinated ranged from 53% to 62% within clusters compared with 39% outside clusters. In covariate-adjusted analyses, residence in a cluster decreased the odds of vaccination by 1.64 (95% confidence interval (CI): 1.59 - 1.69). The odds of vaccination also decreased with black race (OR=1.45, 95% CI: 1.37 - 1.54), subsidized insurance (OR = 1.32, 95% CI: 1.26 – 1.38) and living in neighborhoods with high proportion of adults with high school education or less. The Odds of vaccination decreased by 1.21 (95% CI: 1.15 – 1.26), 1.36 (95% CI 1.29 – 1.44) and 1.43 (95% CI 1.34 – 153) for pregnant persons living in neighborhoods where the proportion of adults with high school education or less was 20% to < 30%, 30% to < 43% and ≥43%, respectively. CONCLUSION: Almost half of pregnant persons, members of Kaiser Permanente in Northern California, were unvaccinated against COVID-19. Unvaccinated pregnant persons clustered geographically and by some sociodemographic factors. Interventions to increase COVID-19 vaccine coverage among pregnant persons are needed, particularly among vulnerable pregnant populations. DISCLOSURES: Nicola P. Klein, MD, PhD, GlaxoSmithKline: Grant/Research Support|Merck: Grant/Research Support|Pfizer: Grant/Research Support|Sanofi Pasteur: Grant/Research Support |
format | Online Article Text |
id | pubmed-10677114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106771142023-11-27 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons Zerbo, Ousseny Ray, Thomas Fireman, Bruce Layefsky, Evan Goddard, Kristin Ross, Pat Greenberg, Mara Klein, Nicola P Open Forum Infect Dis Abstract BACKGROUND: Pregnant persons are at increased risk of complication from COVID-19. Vaccine coverage among pregnant persons has been low. The overall goal of this study was to determine whether unvaccinated pregnant persons cluster geographically and to assess individual and neighborhood factors associated with failure to vaccinate. METHODS: The study setting was Kaiser Permanente Northern California (KPNC), an integrated healthcare delivery organization that provides comprehensive care to approximately 4.4 million members. This study included a cohort of pregnant persons who delivered between December 15, 2020 and September 30, 2022. Pregnant persons were considered vaccinated if they received mRNA COVID-19 vaccines any time before or during pregnancy. We used spatial scan statistics to identify geographical clusters of unvaccinated pregnant persons and determined individual and neighborhood factors associated with failure to vaccinate using multivariate logistic regression. RESULTS: Among 85,852 pregnant persons residing in Northern California, 46.6% were unvaccinated. Spatial analysis identified 5 clusters with high prevalence of unvaccinated pregnant persons. The proportion of unvaccinated ranged from 53% to 62% within clusters compared with 39% outside clusters. In covariate-adjusted analyses, residence in a cluster decreased the odds of vaccination by 1.64 (95% confidence interval (CI): 1.59 - 1.69). The odds of vaccination also decreased with black race (OR=1.45, 95% CI: 1.37 - 1.54), subsidized insurance (OR = 1.32, 95% CI: 1.26 – 1.38) and living in neighborhoods with high proportion of adults with high school education or less. The Odds of vaccination decreased by 1.21 (95% CI: 1.15 – 1.26), 1.36 (95% CI 1.29 – 1.44) and 1.43 (95% CI 1.34 – 153) for pregnant persons living in neighborhoods where the proportion of adults with high school education or less was 20% to < 30%, 30% to < 43% and ≥43%, respectively. CONCLUSION: Almost half of pregnant persons, members of Kaiser Permanente in Northern California, were unvaccinated against COVID-19. Unvaccinated pregnant persons clustered geographically and by some sociodemographic factors. Interventions to increase COVID-19 vaccine coverage among pregnant persons are needed, particularly among vulnerable pregnant populations. DISCLOSURES: Nicola P. Klein, MD, PhD, GlaxoSmithKline: Grant/Research Support|Merck: Grant/Research Support|Pfizer: Grant/Research Support|Sanofi Pasteur: Grant/Research Support Oxford University Press 2023-11-27 /pmc/articles/PMC10677114/ http://dx.doi.org/10.1093/ofid/ofad500.573 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Zerbo, Ousseny Ray, Thomas Fireman, Bruce Layefsky, Evan Goddard, Kristin Ross, Pat Greenberg, Mara Klein, Nicola P 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons |
title | 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons |
title_full | 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons |
title_fullStr | 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons |
title_full_unstemmed | 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons |
title_short | 504. Individual and Neighborhood Factors Associated with Failure to Vaccinate Against COVID-19 Among Pregnant Persons |
title_sort | 504. individual and neighborhood factors associated with failure to vaccinate against covid-19 among pregnant persons |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677114/ http://dx.doi.org/10.1093/ofid/ofad500.573 |
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