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Xian Tao

NORC at the University of Chicago



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Megha Revanam

NORC at the University of Chicago



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Benjamin Skalland

NORC at the University of Chicago, Chicago, IL



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Kirk Wolter

NORC at the University of Chicago, Chicago



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David Yankey

National Center for Immunization and Respiratory Diseases



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Zhen Zhao

National Center for Immunization and Respiratory Diseases



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76 – Paradata for Adaptive Survey Designs and Other Applications

Adaptive Design in the National Immunization Survey-Teen Provider Record Check Phase

Sponsor: Government Statistics Section
Keywords: Adaptive Design, National Immunization Survey-Teen, R-indicators, Partial R-indicators

Xian Tao

NORC at the University of Chicago

Megha Revanam

NORC at the University of Chicago

Benjamin Skalland

NORC at the University of Chicago, Chicago, IL

Kirk Wolter

NORC at the University of Chicago, Chicago

David Yankey

National Center for Immunization and Respiratory Diseases

Zhen Zhao

National Center for Immunization and Respiratory Diseases

Adaptive design principles are applied to the National Immunization Survey-Teen (NIS-Teen), sponsored by Centers for Disease Control and Prevention, which monitors vaccination coverage of U.S. adolescents age 13-17 years. Data collection is ongoing in two phases: (1) a random-digit-dial telephone survey to interview parents/guardians with age-eligible adolescents, followed by (2) a mail survey to vaccination providers, called the provider record check (PRC), to obtain vaccination histories for the adolescents. A logistic regression model relating the probability that an Immunization History Questionnaire (IHQ) is returned for a teen-provider pair to characteristics of the adolescent, mother, household, and providers was fit. R-indicators and partial R-indicators for the PRC phase of the 2015 NIS-Teen are presented to evaluate the representativeness of response in the PRC. The indicators are visualized using interactive graphics embodied in an R Shiny application to track the real time changes. Programmatic interventions to improve representativeness are discussed, which include strategies for prompting providers and special treatment of certain subgroups.

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