Evidence map›Paper›PMID 37087395›Full record

ArticleVaccine2023

Methodological changes implemented over time to support accurate and timely COVID-19 vaccine coverage estimates: Ontario, Canada.

J Leigh Hobbs, Lauren A Paul, Sarah A Buchan, Tara Harris, Sarah E Wilson

Abstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. SARS-CoV-2, Tdap, and influenza vaccination during pregnancy from 2019 to 2022 in Ontario, Canada: a population-based retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

J Leigh HobbsPublic Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada.
Lauren A PaulPublic Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada.
Sarah A BuchanPublic 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; ICES, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada.
Tara HarrisPublic Health Ontario, 661 University Avenue, Suite 1701, Toronto, ON M5G 1M1, Canada.
Sarah E WilsonPublic 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; ICES, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada. Electronic address: Sarah.Wilson@oahpp.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19VaccinesAgedCOVID-19 VaccinesHumansImmunization ProgramsOntarioPandemicsVaccinationCOVID-19 VaccinesVaccinesCoverage assessmentCOVID-19Immunization registryMethodsOntario CanadaVaccination program

Identifiers

PMID37087395
PMCPMC10080273

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.