Evidence map›Paper›PMID 27730110›Full record

ArticleCMAJ open

Using physician billing claims from the Ontario Health Insurance Plan to determine individual influenza vaccination status: an updated validation study.

Kevin L Schwartz, Nathaniel Jembere, Michael A Campitelli, Sarah A Buchan, Hannah Chung, Jeffrey C Kwong

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  6. 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
  7. Article
  8. Measuring waning protection from seasonal influenza vaccination during nine influenza seasons, Ontario, Canada, 2010/11 to 2018/19.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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  18. Caution Required in the Use of Administrative Data and General Laboratory Submissions for Influenza Vaccine Effectiveness Estimation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
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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

6 authors at 3 institutions in 2 countries.

Kevin L SchwartzInstitute for Clinical Evaluative Sciences (Schwartz, Jembere, Campitelli, Chung, Kwong); Institute of Health, Policy, Management, and Evaluation (Schwartz), University of Toronto; Dalla Lana School of Public Health (Buchan, Kwong), University of Toronto; Public Health Ontario (Kwong), Toronto Ont.
Nathaniel JembereInstitute for Clinical Evaluative Sciences (Schwartz, Jembere, Campitelli, Chung, Kwong); Institute of Health, Policy, Management, and Evaluation (Schwartz), University of Toronto; Dalla Lana School of Public Health (Buchan, Kwong), University of Toronto; Public Health Ontario (Kwong), Toronto Ont.
Michael A CampitelliInstitute for Clinical Evaluative Sciences (Schwartz, Jembere, Campitelli, Chung, Kwong); Institute of Health, Policy, Management, and Evaluation (Schwartz), University of Toronto; Dalla Lana School of Public Health (Buchan, Kwong), University of Toronto; Public Health Ontario (Kwong), Toronto Ont.
Sarah A BuchanInstitute for Clinical Evaluative Sciences (Schwartz, Jembere, Campitelli, Chung, Kwong); Institute of Health, Policy, Management, and Evaluation (Schwartz), University of Toronto; Dalla Lana School of Public Health (Buchan, Kwong), University of Toronto; Public Health Ontario (Kwong), Toronto Ont.
Hannah ChungInstitute for Clinical Evaluative Sciences (Schwartz, Jembere, Campitelli, Chung, Kwong); Institute of Health, Policy, Management, and Evaluation (Schwartz), University of Toronto; Dalla Lana School of Public Health (Buchan, Kwong), University of Toronto; Public Health Ontario (Kwong), Toronto Ont.
Jeffrey C KwongInstitute for Clinical Evaluative Sciences (Schwartz, Jembere, Campitelli, Chung, Kwong); Institute of Health, Policy, Management, and Evaluation (Schwartz), University of Toronto; Dalla Lana School of Public Health (Buchan, Kwong), University of Toronto; Public Health Ontario (Kwong), Toronto Ont.
Institute for Clinical Evaluative Sciences · CA3M (United States) · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOwing to the absence of a vaccination registry in Ontario, administrative data are currently the best available source to determine population-based individual-level influenza vaccination status. Our objective was to validate physician billing claims for influenza vaccination in the Ontario Health Insurance Plan database against the Canadian Community Health Survey.

methodsWe used self-reported seasonal influenza vaccination status of Ontario residents surveyed between 2007 and 2009 as the reference standard. The survey responses were linked to physician claims database records to validate billing codes for influenza vaccination. We calculated sensitivity, specificity, positive predictive value and negative predictive value with 95% confidence intervals (CIs). We stratified the data by several covariates and comorbidities to determine stratum-specific performance characteristics. We used these estimates to adjust an estimate of influenza vaccine effectiveness for the 2010/11 influenza season.

resultsFor the 47 301 patients included in the analysis, the sensitivity for the billing codes was 49.8% (95% CI 49.0%-50.5%), specificity was 95.7% (95% CI 95.5%-96.0%), positive predictive value was 88.4% (95% CI 87.8%-89.0%) and negative predictive value was 74.5% (95% CI 74.0%-74.9%). Performance measures were optimized in patients aged 65 years and older, particularly those with comorbidities.

interpretationAlthough administrative data have limitations for determining influenza vaccination status, owing to the high positive predictive value, they are well suited for self-controlled study designs that are often used to assess vaccine safety. For studies of coverage and effectiveness, restricting the cohort to patients aged 65 years and older will minimize misclassification bias. Performance characteristics from this study can be used to mitigate misclassification bias.

Identifiers

PMID27730110
PMCPMC5047797
OpenAlexW2510625620

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.