Validation of the new Swedish vaccination register - Accuracy and completeness of register data

Cecilia Chrapkowska1, Ilias Galanis2, Malin Kark1

  • 1Public Health Agency of Sweden, Nobels väg 18, 171 82 Solna, Sweden; Karolinska Institutet, Department of Women's and Children's Health, Solna, Sweden.

Vaccine
|May 4, 2020
PubMed

Insights

The Swedish Vaccination Register (SVR) is a valuable tool for monitoring infant vaccination coverage, showing high completeness. Single registration methods significantly improve data accuracy compared to double registration.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Vaccination registers are crucial for monitoring public health.
  • Accurate vaccination data is essential for disease prevention strategies.
  • Understanding data collection methods impacts coverage estimates.

Purpose of the Study:

  • To validate infant vaccination data in the Swedish Vaccination Register (SVR) against administrative reports.
  • To assess how different data reporting methods affect vaccination coverage estimates.
  • To evaluate the completeness and accuracy of the SVR for public health surveillance.

Main Methods:

  • Study population: all infants born in Sweden in 2014-2015 (n=230,220).
  • Data sources: Swedish Vaccination Register (SVR) and administrative coverage reports.
  • Comparison of coverage estimates based on single (automated EHR transfer) vs. double (separate manual entry) registration methods.

Main Results:

  • SVR recorded at least one vaccination for 98.4% of the study population.
  • Coverage in SVR for 3-dose DTP (87.1%) and 1-dose MMR (91.1%) was lower than administrative data (97.4% and 97.0%).
  • Single registration yielded significantly higher coverage (92.24%) than double registration (87.10%); p < 0.0001. A regional switch improved coverage from 80.0% to 95.2%.

Conclusions:

  • The SVR is a valuable and highly complete data source for vaccination coverage monitoring.
  • Single-registration procedures result in more complete vaccination data and should be promoted.
  • Optimizing data registration methods enhances the reliability of national immunization program data.
Abstract

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