Alternative Methods for Sampling and Estimation in the National Immunization Survey (NIS): Utilizing Immunization Information Systems (IIS) Data

• Activity Number: 77
• Type: Contributed
• Date/Time: Sunday, August 9, 2015 : 4:00 PM to 5:50 PM
• Sponsor: Survey Research Methods Section
• Author(s): Elizabeth Ormson* and Xian Tao and Nadarajasundaram Ganesh and Vicki Pineau and Kirk Wolter and James A. Singleton and Stacie Greby and Laura Pabst and LaTreace Harris and Sarah Reagan-Steiner and Holly A. Hill
• 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 NCIRD/CDC and CDC and CDC and CDC and CDC and CDC
• Keywords: dual-frame ; National Immunization Survey ; Registry frame ; IIS ; sampling frame ; sample design

Abstract

The National Immunization Survey (NIS) tracks state and national vaccination coverage, while state public health departments use Immunization Information Systems (IIS) data to track vaccination coverage at the individual, provider, and clinic, local and state levels. Leveraging the IIS population-based structure to increase efficiencies in the NIS is increasingly important as survey costs escalate and response rates decline. We report on a pilot study, sponsored by the Centers for Disease Control and Prevention, in which IIS in four states were used as a sampling frame for children 19-35 months. Data were collected in two steps for IIS sample children: (1) the standard NIS household phone interview of the child's parent/guardian and (2) the standard NIS mail survey of the child's vaccination providers given parent/guardian consent. We assess the impact on estimated vaccination rates derived from the IIS pilot sample to rates produced by the NIS random digit dial (RDD) sample and to rates produced using various multi-frame IIS plus RDD approaches. We also examine the use of IIS vaccination totals for calibration purposes in weighting the standard NIS RDD sample.