Comparison of Methods Utilizing Immunization Information Systems (IIS) Data for Sample Frame Construction in the National Immunization Survey (NIS)

• Activity Number: 83
• Type: Contributed
• Date/Time: Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
• Sponsor: Survey Research Methods Section
• Author(s): Reiping Huang*+ and Vicki Pineau and Nadarajasundaram Ganesh and Kirk Wolter and Margrethe Montgomery and James Singleton and Laura Pabst and LaTreace Harris and Stacie Greby
• Companies: NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and CDC and CDC and CDC and CDC
• Keywords: National Immunization Survey ; Immunization Information Systems ; Multiple sample frames ; vaccination coverage

Abstract

Immunization Information Systems (IIS) and the National Immunization Survey (NIS) are used by immunization programs to track provider-reported vaccinations, describing vaccination coverage at the individual, provider, clinic, local, state, or national levels, depending on the system. Leveraging the IIS population-based structure to increase efficiencies of the NIS random digit dial (RDD) survey is increasingly important as immunization programs and survey environments evolve. The NIS-IIS sample-frame pilot project included 4 states; with state samples of IIS records of children 19-35 months fielded as a list sample, utilizing the standard NIS household survey and follow-up provider-record-check model. In this paper, we will examine the impact of enhancing the NIS sample-frame from the current dual-frame approach (landline and cell phone RDD) to an alternative sample-frame that would include the IIS. A core set of estimates for vaccination coverage and sampling error for the alternative approaches will be compared to the traditional NIS estimates. Options for constructing efficient optimal combinations of the sample-frames including landline, cellphone, and IIS will be discussed.