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Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada
The COVID-19 vaccination program implementation in Ontario, Canada has spanned multiple years and is ongoing. To meet the challenges of the program, Ontario developed and implemented a new electronic COVID-19 immunization registry, COVaxON, which captures individual-level data on all doses administe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080273/ https://www.ncbi.nlm.nih.gov/pubmed/37087395 http://dx.doi.org/10.1016/j.vaccine.2023.04.007 |
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author | Leigh Hobbs, J. Paul, Lauren A. Buchan, Sarah A. Harris, Tara Wilson, Sarah E. |
author_facet | Leigh Hobbs, J. Paul, Lauren A. Buchan, Sarah A. Harris, Tara Wilson, Sarah E. |
author_sort | Leigh Hobbs, J. |
collection | PubMed |
description | The COVID-19 vaccination program implementation in Ontario, Canada has spanned multiple years and is ongoing. To meet the challenges of the program, Ontario developed and implemented a new electronic COVID-19 immunization registry, COVaxON, which captures individual-level data on all doses administered in the province enabling comprehensive coverage assessment. However, the need for ongoing COVID-19 vaccine coverage assessments over a multi-year vaccination program posed challenges necessitating methodological changes. This paper describes Ontario’s COVID-19 immunization registry, the methods implemented over time to allow for the ongoing assessment of vaccine coverage by age, and the impact of those methodological changes. Throughout the course of the vaccination program, four different methodological approaches were used to calculate age-specific coverage estimates using vaccination data (numerator) obtained from COVaxON. Age-specific numerators were initially calculated using age at time of first dose (method A), but were updated to the age at coverage assessment (method B). Database enhancements allowed for the exclusion of deceased individuals from the numerator (method C). Population data (denominator) was updated to 2022 projections from the 2021 national census following their availability (method D). The impact was most evident in older age groups where vaccine uptake was high. For example, coverage estimates for individuals aged 70–79 years of age for at least one dose decreased from 104.9 % (method B) to 95.0 % (method D). Thus, methodological changes improved estimates such that none exceeded 100 %. Ontario’s COVID-19 immunization registry has been transformational for vaccine program surveillance. The implementation of a single registry for COVID-19 vaccines was essential for comprehensive near real-time coverage assessment, and enabled new uses of the data to support additional components of vaccine program surveillance. The province is well positioned to build on what has been achieved as a result of the COVID-19 pandemic and expand the registry to other routine vaccination programs. |
format | Online Article Text |
id | pubmed-10080273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100802732023-04-07 Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada Leigh Hobbs, J. Paul, Lauren A. Buchan, Sarah A. Harris, Tara Wilson, Sarah E. Vaccine Article The COVID-19 vaccination program implementation in Ontario, Canada has spanned multiple years and is ongoing. To meet the challenges of the program, Ontario developed and implemented a new electronic COVID-19 immunization registry, COVaxON, which captures individual-level data on all doses administered in the province enabling comprehensive coverage assessment. However, the need for ongoing COVID-19 vaccine coverage assessments over a multi-year vaccination program posed challenges necessitating methodological changes. This paper describes Ontario’s COVID-19 immunization registry, the methods implemented over time to allow for the ongoing assessment of vaccine coverage by age, and the impact of those methodological changes. Throughout the course of the vaccination program, four different methodological approaches were used to calculate age-specific coverage estimates using vaccination data (numerator) obtained from COVaxON. Age-specific numerators were initially calculated using age at time of first dose (method A), but were updated to the age at coverage assessment (method B). Database enhancements allowed for the exclusion of deceased individuals from the numerator (method C). Population data (denominator) was updated to 2022 projections from the 2021 national census following their availability (method D). The impact was most evident in older age groups where vaccine uptake was high. For example, coverage estimates for individuals aged 70–79 years of age for at least one dose decreased from 104.9 % (method B) to 95.0 % (method D). Thus, methodological changes improved estimates such that none exceeded 100 %. Ontario’s COVID-19 immunization registry has been transformational for vaccine program surveillance. The implementation of a single registry for COVID-19 vaccines was essential for comprehensive near real-time coverage assessment, and enabled new uses of the data to support additional components of vaccine program surveillance. The province is well positioned to build on what has been achieved as a result of the COVID-19 pandemic and expand the registry to other routine vaccination programs. Published by Elsevier Ltd. 2023-05-16 2023-04-07 /pmc/articles/PMC10080273/ /pubmed/37087395 http://dx.doi.org/10.1016/j.vaccine.2023.04.007 Text en Crown Copyright © 2023 Published by Elsevier Ltd. 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 | Article Leigh Hobbs, J. Paul, Lauren A. Buchan, Sarah A. Harris, Tara Wilson, Sarah E. Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada |
title | Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada |
title_full | Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada |
title_fullStr | Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada |
title_full_unstemmed | Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada |
title_short | Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada |
title_sort | methodological changes implemented over time to support accurate and timely covid-19 vaccine coverage estimates: ontario, canada |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080273/ https://www.ncbi.nlm.nih.gov/pubmed/37087395 http://dx.doi.org/10.1016/j.vaccine.2023.04.007 |
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