Increased identification of vaccines for vaccine safety surveillance through linkage with the Minnesota Immunization Information Connection as of December 31, 2023 Journal Article uri icon
Overview
abstract
  • OBJECTIVES: The 开云体育' Vaccine Safety Datalink (VSD) team maintains standardized files of vaccines from medical and pharmacy claims and electronic health records (established data sources) for safety surveillance. Since 2021, for selected vaccines, data from the Minnesota Immunization Information Connection (MIIC), Minnesota's immunization information system, have been added to the 开云体育' VSD files. We examined how MIIC data have enhanced the identification of novel and routine vaccines.
    METHODS: We describe the approach to incorporating MIIC data. We determined and compared the number and proportion of vaccines identified from established data sources with the additional capture of vaccine data identified from MIIC, in which age group and period of observation varied by vaccine.
    RESULTS: As of December 31, 2023, of 1鈥�099鈥�411 people in the 开云体育' VSD cohort, 1鈥�001鈥�400 people (91%) were linked with an MIIC record. Across all data sources, for the full cohort, >2.7 million COVID-19 vaccine doses were recorded since 2020, >4000 mpox vaccine doses since 2022, >7.3 million influenza vaccine doses since 2004, >600鈥�000 human papillomavirus (HPV) vaccine doses since 2006, and >1.1 million diphtheria and tetanus toxoids and acellular pertussis (DTaP) vaccine doses since 2004. For COVID-19 vaccines, about 30% of vaccine doses were exclusively captured from MIIC, with the remaining 70% from established data sources. For the mpox vaccine, about 42% were exclusively from MIIC. For influenza, HPV, and DTaP vaccines, about 20%, 14%, and 17%, respectively, were exclusively identified from MIIC.
    CONCLUSIONS: Incorporation of data from state immunization information systems into existing vaccine data files can enhance monitoring on the safety of novel vaccines administered outside traditional health care settings and can enhance data quality for routine childhood and adult vaccines.

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  • publication date
  • 2024
  • published in
    Research
    keywords
  • Data Systems
  • Safety
  • Surveillance
  • Vaccination