Cargando…
Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design
BACKGROUND: In clinical trials, several SARS-CoV-2 vaccines were shown to reduce risk of severe COVID-19 illness. Local, population-level, real-world evidence of vaccine effectiveness is accumulating. We assessed vaccine effectiveness for community-dwelling New York City (NYC) residents using a quas...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694652/ https://www.ncbi.nlm.nih.gov/pubmed/34961848 http://dx.doi.org/10.1016/j.jvacx.2021.100134 |
_version_ | 1784619402643111936 |
---|---|
author | Greene, Sharon K. Levin-Rector, Alison McGibbon, Emily Baumgartner, Jennifer Devinney, Katelynn Ternier, Alexandra Sell, Jessica Kahn, Rebecca Kishore, Nishant |
author_facet | Greene, Sharon K. Levin-Rector, Alison McGibbon, Emily Baumgartner, Jennifer Devinney, Katelynn Ternier, Alexandra Sell, Jessica Kahn, Rebecca Kishore, Nishant |
author_sort | Greene, Sharon K. |
collection | PubMed |
description | BACKGROUND: In clinical trials, several SARS-CoV-2 vaccines were shown to reduce risk of severe COVID-19 illness. Local, population-level, real-world evidence of vaccine effectiveness is accumulating. We assessed vaccine effectiveness for community-dwelling New York City (NYC) residents using a quasi-experimental, regression discontinuity design, leveraging a period (January 12–March 9, 2021) when ≥ 65-year-olds were vaccine-eligible but younger persons, excluding essential workers, were not. METHODS: We constructed segmented, negative binomial regression models of age-specific COVID-19 hospitalization rates among 45–84-year-old NYC residents during a post-vaccination program implementation period (February 21–April 17, 2021), with a discontinuity at age 65 years. The relationship between age and hospitalization rates in an unvaccinated population was incorporated using a pre-implementation period (December 20, 2020–February 13, 2021). We calculated the rate ratio (RR) and 95% confidence interval (CI) for the interaction between implementation period (pre or post) and age-based eligibility (45–64 or 65–84 years). Analyses were stratified by race/ethnicity and borough of residence. Similar analyses were conducted for COVID-19 deaths. RESULTS: Hospitalization rates among 65–84-year-olds decreased from pre- to post-implementation periods (RR 0.85, 95% CI: 0.74–0.97), controlling for trends among 45–64-year-olds. Accordingly, an estimated 721 (95% CI: 126–1,241) hospitalizations were averted. Residents just above the eligibility threshold (65–66-year-olds) had lower hospitalization rates than those below (63–64-year-olds). Racial/ethnic groups and boroughs with higher vaccine coverage generally experienced greater reductions in RR point estimates. Uncertainty was greater for the decrease in COVID-19 death rates (RR 0.85, 95% CI: 0.66–1.10). CONCLUSION: The vaccination program in NYC reduced COVID-19 hospitalizations among the initially age-eligible ≥ 65-year-old population by approximately 15% in the first eight weeks. The real-world evidence of vaccine effectiveness makes it more imperative to improve vaccine access and uptake to reduce inequities in COVID-19 outcomes. |
format | Online Article Text |
id | pubmed-8694652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86946522021-12-23 Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design Greene, Sharon K. Levin-Rector, Alison McGibbon, Emily Baumgartner, Jennifer Devinney, Katelynn Ternier, Alexandra Sell, Jessica Kahn, Rebecca Kishore, Nishant Vaccine X Regular paper BACKGROUND: In clinical trials, several SARS-CoV-2 vaccines were shown to reduce risk of severe COVID-19 illness. Local, population-level, real-world evidence of vaccine effectiveness is accumulating. We assessed vaccine effectiveness for community-dwelling New York City (NYC) residents using a quasi-experimental, regression discontinuity design, leveraging a period (January 12–March 9, 2021) when ≥ 65-year-olds were vaccine-eligible but younger persons, excluding essential workers, were not. METHODS: We constructed segmented, negative binomial regression models of age-specific COVID-19 hospitalization rates among 45–84-year-old NYC residents during a post-vaccination program implementation period (February 21–April 17, 2021), with a discontinuity at age 65 years. The relationship between age and hospitalization rates in an unvaccinated population was incorporated using a pre-implementation period (December 20, 2020–February 13, 2021). We calculated the rate ratio (RR) and 95% confidence interval (CI) for the interaction between implementation period (pre or post) and age-based eligibility (45–64 or 65–84 years). Analyses were stratified by race/ethnicity and borough of residence. Similar analyses were conducted for COVID-19 deaths. RESULTS: Hospitalization rates among 65–84-year-olds decreased from pre- to post-implementation periods (RR 0.85, 95% CI: 0.74–0.97), controlling for trends among 45–64-year-olds. Accordingly, an estimated 721 (95% CI: 126–1,241) hospitalizations were averted. Residents just above the eligibility threshold (65–66-year-olds) had lower hospitalization rates than those below (63–64-year-olds). Racial/ethnic groups and boroughs with higher vaccine coverage generally experienced greater reductions in RR point estimates. Uncertainty was greater for the decrease in COVID-19 death rates (RR 0.85, 95% CI: 0.66–1.10). CONCLUSION: The vaccination program in NYC reduced COVID-19 hospitalizations among the initially age-eligible ≥ 65-year-old population by approximately 15% in the first eight weeks. The real-world evidence of vaccine effectiveness makes it more imperative to improve vaccine access and uptake to reduce inequities in COVID-19 outcomes. Elsevier 2021-12-22 /pmc/articles/PMC8694652/ /pubmed/34961848 http://dx.doi.org/10.1016/j.jvacx.2021.100134 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular paper Greene, Sharon K. Levin-Rector, Alison McGibbon, Emily Baumgartner, Jennifer Devinney, Katelynn Ternier, Alexandra Sell, Jessica Kahn, Rebecca Kishore, Nishant Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design |
title | Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design |
title_full | Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design |
title_fullStr | Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design |
title_full_unstemmed | Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design |
title_short | Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design |
title_sort | reduced covid-19 hospitalizations among new york city residents following age-based sars-cov-2 vaccine eligibility: evidence from a regression discontinuity design |
topic | Regular paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694652/ https://www.ncbi.nlm.nih.gov/pubmed/34961848 http://dx.doi.org/10.1016/j.jvacx.2021.100134 |
work_keys_str_mv | AT greenesharonk reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT levinrectoralison reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT mcgibbonemily reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT baumgartnerjennifer reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT devinneykatelynn reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT ternieralexandra reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT selljessica reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT kahnrebecca reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign AT kishorenishant reducedcovid19hospitalizationsamongnewyorkcityresidentsfollowingagebasedsarscov2vaccineeligibilityevidencefromaregressiondiscontinuitydesign |