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Registry Data and the National Immunization Survey

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Registry Data and the National Immunization Survey. Lawrence Barker ... Duplicative (or otherwise erroneous) entries in registries ... – PowerPoint PPT presentation

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Title: Registry Data and the National Immunization Survey


1
Registry Data and the National Immunization Survey
  • Lawrence Barker
  • National Immunization Program
  • Centers for Disease Control and Prevention
  • Department of Health and Human Services
  • Linda Piccinino, Mike Battaglia
  • Abt Associates

2
Overview
  • Description of National Immunization Survey
    (N.I.S.)
  • Comparison of N.I.S. and Registry Data
  • Findings
  • N.I.S. data can be used to track progress toward
    the Healthy People 2010 registry goals (N.I.S.
    shows that registry data are good but can stand
    improvement)
  • Registry data can be used to benefit N.I.S.
    (registries contain some vaccines not reported to
    N.I.S.)

3
National Immunization Survey
  • The N.I.S. is the nations primary tool for
    assessing immunization coverage among 19 to 35
    month old children
  • The N.I.S. yields estimates of national, state,
    and selected urban area coverage for vaccines and
    vaccine series (for example, 43133, 4 doses
    of DTaP,3 doses of polio vaccine, 1 dose of
    MCV, 3 doses of hib, 3 doses of hep B)

4
N.I.S. is More Than One Survey...
  • Nashville
  • Milwaukee
  • NYC
  • Boston
  • Cleveland
  • Chicago
  • Indianapolis
  • Memphis
  • Dallas
  • San Jose
  • Los Angeles
  • San Diego
  • Phoenix
  • El Paso
  • San Antonio
  • Houston
  • Seattle
  • Detroit
  • Boston
  • Newark
  • Philadelphia
  • Baltimore
  • Atlanta
  • Jacksonville
  • Miami
  • New Orleans
  • Birmingham
  • Columbus
  • D.C.

5
N.I.S. Methods
  • Random-digit dialing
  • Collect information from household
  • probe to identify all immunization providers
  • ask for permission to contact providers
  • registries are not routinely contacted (might
    change in the future)
  • N.I.S. estimates are based on those households
    for which providers give us adequate data
  • Responses are weighted to represent U.S. children
    aged 19 to 35 months

6
N.I.S. / Registry Comparison
  • In quarter 3 2002 (one site) and quarter 4 2002
    (three sites), four mature registries
    participated in a comparison of N.I.S. and
    registry data
  • Sites are not identified for reasons of
    confidentiality, but are three states and one
    city

7
N.I.S. / Registry Comparison, continued
  • Immunization records of children in the registry
    and with provider-validated N.I.S. immunizations
    were compared, with care-givers consent to
    contact registry (almost 90 percent consented, in
    all sites)
  • Each site had between 65 and 140 children with
    provider-verified immunizations during quarter of
    interest

8
N.I.S. / Registry Comparison goals of study
  • To show feasibility of using N.I.S. data to track
    progress toward the Healthy People 2010 goal of
    95 percent participation in registries
  • To determine if consulting registries (with
    caregivers consent) can benefit N.I.S.

9
Limitations
  • Cant necessarily extrapolate to the population
  • Children with both registry data and data in
    N.I.S. are not a true random sample
  • results presented here are not weighted
  • Can
  • reach qualitative conclusions
  • state that the issues discussed are real
  • get a (very) rough sense of the seriousness of
    the issues

10
Children with Provider-Verified Data Who Had Data
in the Registry
  • Percent of children with provider-verified data
    who had two or more vaccines in the registry
    (unweighted)
  • Site A 88 percent
  • Site B 73 percent
  • Site C 80 percent
  • Site D 60 percent
  • These sites (and probably others) are doing a
    good job in capturing at least some immunizations

11
Children with Both Provider-Verified Data and
Registry Data with Vaccinations in NIS but Not in
Registry
  • Percent of children with both provider-verified
    and registry data with vaccinations in NIS but
    not in registry (unweighted)
  • Site A 64 percent
  • Site B 43 percent
  • Site C 34 percent
  • Site D 31 percent
  • Registry data are of variable completeness

12
Children with Both Provider-Verified Data and
Registry Data with Vaccinations in Registry But
Not in N.I.S.
  • Percent of children with both provider-verified
    and registry data with vaccinations in registry
    but not in N.I.S. (unweighted)
  • Site A 15 percent
  • Site B 28 percent
  • Site C 24 percent
  • Site D 12 percent
  • Registries indicate some vaccinations that N.I.S.
    does not

13
Children with Both Provider-Verified and Registry
Data that Registry Said Were 43133 Complete
but N.I.S. Did Not
  • Percent of children with both provider-verified
    and registry data that registry said were
    43133 complete but N.I.S. did not
    (unweighted)
  • Site A 3 percent
  • Site B 10 percent
  • Site C 6 percent
  • Site D 2 percent
  • Series completion differences are of concern

14
Children from Last Slide that had 4th dose of
D.T.a.P. in Registry but Not in N.I.S.
  • 4th dose means greater or equal to 4 doses as
    opposed to less than 4 doses not necessarily
    the chronologically last dose
  • Percent of children from last slide that had 4th
    dose of D.T.a.P. in registry but not in N.I.S.
    (unweighted)
  • Site A 100 percent
  • Site B 60 percent
  • Site C 86 percent
  • Site D 100 percent
  • Detected series completion differences are mostly
    in the 4th dose of D.T.a.P.

15
Conclusions
  • N.I.S. data can be used to track progress toward
    Healthy People 2010 goals (registry data are
    good, but need to improve)
  • Registry data can benefit N.I.S.
  • Some vaccinations (primarily 4th D.T.a.P. dose)
    in registry but not in N.I.S.
  • Hypothetical explanations
  • Duplicative (or otherwise erroneous) entries in
    registries
  • Some providers report some immunizations to
    registries but not to N.I.S.
  • N.I.S. does not identify all immunization
    providers for some children
  • More research needed to learn reasons for
    discrepancies
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