Statistical Methodology of the National Immunization Survey: 1994-2002 - PowerPoint PPT Presentation

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Statistical Methodology of the National Immunization Survey: 1994-2002

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Philip J. Smith, Ph.D., Centers for Disease Control and Prevention; ... El Paso. San. Antonio. Dallas. Memphis. Nashville. Indianapolis. Detroit. Cleveland. Columbus ... – PowerPoint PPT presentation

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Title: Statistical Methodology of the National Immunization Survey: 1994-2002


1
Statistical Methodology of the National
Immunization Survey 1994-2002
  • Philip J. Smith, Ph.D., Centers for Disease
    Control and Prevention
  • David C. Hoaglin, Ph.D. Abt Associates Inc.
  • Michael P. Battaglia, M.S., Abt Associates Inc.
  • Meena Khare, M.S.., Centers for Disease Control
    and Prevention
  • Lawrence E. Barker, Ph.D., Centers for Disease
    Control and Prevention

2
NIS Sampling DesignIndependent samples in
each of 78 Immunization Action Plan (IAP) areas.
These areas will begin to rotate soon
3
Target Pop 5.8M children 19-35 months of age
NIS Sampling Plan
RDD
PRC
3.4 million telephone numbers sampled 31,693 kids
19-35 m.o.a completing the RDD survey 21,410 kids
with sufficient provider-reported data to know
their UTD status
4
3 Important Advances NIS Survey Weights
  • National
  • Adjustment Percentage
  • Children who Received No Vacc Doses 0.3
  • Nontelephone Households 4.5
  • Vaccination Provider Nonresponse 32.7

5
Rates per 100,000 Zero Dose Children 19-35 moa
6
Characteristics of Zero Dose Children
  • Child Characteristics
  • Non-Hispanic White 2-5x more likely than
    Hisp. or Non-Hisp Black
  • Maternal Characteristics
  • College education 2-3x more likely than 12
    years
  • gt 30 years of age 2-3x more likely than moms
    20-29 years
  • Households Characteristics
  • Income gt75k/yr 2-6x more likely than
    75k/yr
  • 4 children in HH 2-10x more likely than 1
    child

7
Variation in Telephone Coverage
8
How the Nontelephone Adjustment Works
  • Research by Frankel et al. has shown that HHs
    that experienced an interruption in telephone
    service are very much like nontelephone
    households.
  • Determine which HHs have had an interruption
  • Increase the survey weights of children living in
    HHs with a recent interruption to represent both
    interruption and nontelephone HHs.

9
Characteristics of HHs with an Interruption
  • Child Characteristics
  • Hispanics 2x more likely than Non-Hisp.
    Whites
  • Blacks 2x more likely than Non-Hisp.
    Whites
  • Native Americans 3x more likely than
    Non-Hisp. Whites
  • Foreign Born 2x more likely than US born
  • Maternal Characteristics
  • Divorced or Never Married gt 2x more likely than
    married
  • lt 12 years of education gt 2x more likely than
    w/ some college
  • Preferred language Spanish 2x more likely
    than English
  • Maternal age 29 years gt 2x more likely
    than 30 years
  • Households Characteristics
  • Income below poverty 10x more likely than
    gt75k/yr
  • 4 children in HH 2x more likely than 1 child

10
Provider Nonresponse Rates
11
How the Provider Nonresponse Adjustment Works
  • Identify characteristics associated with provider
    nonresponse
  • W/in each IAP area, group children into
    adjustment classes
  • with similar propensities of having provider
    data
  • Within each adjustment class
  • Increase the survey weights of children with
    adequate provider reported vacc histories to
    represent all of the children in the class

12
Children w/out Adequate Provider Report
  • Child Characteristics
  • Non-Hipanaic Black and Hispanics
  • 1.2x more likely than Non-Hisp. Whites
  • Foreign Born 1.4x more likely than US born
  • Maternal Characteristics
  • No Shot Card 1.1 x more likely than shot card
    moms
  • Households Characteristics
  • Unknown HH income 1.4x more likely than married

13
Summary
  • Progress
  • Adjusting NIS vacc coverage estimates for
    nonsampling errors
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