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Activity Number:
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242
- Issues in Frame Quality and Accuracy Assessments
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Type:
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Contributed
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Date/Time:
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Monday, July 29, 2019 : 2:00 PM to 3:50 PM
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Sponsor:
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Government Statistics Section
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Abstract #304603
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Presentation
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Title:
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Transition of a Large Healthcare Survey from a Dual-Frame Design to a Single-Frame Design
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Author(s):
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Xian Tao* and Ben Skalland and Laurie D. Elam-Evans and James A. Singleton and Holly A. Hill and Tanja Walker and David Yankey and Benjamin Fredua and Kimberly Nguyen and Wolter Kirk and Kathleen Santos and Zhen Zhao
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Companies:
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and NORC at the University of Chicago and CDC and CDC and CDC and Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and NORC at the University of Chicago and NORC at the University of Chicago and CDC
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Keywords:
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National Immunization Surveys;
vaccination coverage;
dual-frame design;
single-frame design
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Abstract:
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The National Immunization Surveys (NIS) assess vaccination coverage among children 19-35 months and adolescents 13-17 years living in the United States. The surveys are conducted in two phases:1)a large-scale telephone survey to identify households with age-eligible children, collect information about the child’s immunization history and socio-demographic characteristics, and obtain consent to contact the child’s immunization providers; followed by 2)a mail survey to collect immunization histories from identified providers. During the period 2011-2017, the telephone survey used a dual-frame RDD sampling design. Given the declining prevalence of landline-only households, the NIS transitioned to a single-frame cell-phone RDD survey design in 2018. We use 2012 to 2017 NIS dual-frame survey data to assess the impact of the new single-frame survey design. We compare national, and local vaccination coverage rates based on the dual-frame RDD survey design to the rates from the single-frame cell-phone RDD survey design nested within the dual-frame design. We compare vaccination rates by telephone status and evaluate the differences between rates for dual-users in LL and cell-phone sample.
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Authors who are presenting talks have a * after their name.
