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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.
  • Leigh Hobbs J; Public Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada.
  • Paul LA; Public Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada.
  • Buchan SA; Public Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada; Centre for Vaccine Preventable Diseases, University of Toronto, 155 College St., Toronto, ON M5T 3M7, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College St., Toronto, ON M5T 3M7, Canada
  • Harris T; Public Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada.
  • Wilson SE; Public Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada; Centre for Vaccine Preventable Diseases, University of Toronto, 155 College St., Toronto, ON M5T 3M7, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College St., Toronto, ON M5T 3M7, Canada
Vaccine ; 41(21): 3328-3336, 2023 05 16.
Article in English | MEDLINE | ID: covidwho-2298638
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: Vaccine Year: 2023 Document Type: Article Affiliation country: J.vaccine.2023.04.007

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Aged / Humans Country/Region as subject: North America Language: English Journal: Vaccine Year: 2023 Document Type: Article Affiliation country: J.vaccine.2023.04.007