Abstract Number:
2144
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
YUHEI KOSHINO (1), Zachary Seeskin (1), Benjamin Skalland (1), Kirk Wolter (1), Holly Hill (2), David Yankey (2), Laurie D Elam-Evans (2), Yi Mu (2), Kushagra Vashist (2)
Institutions:
(1) NORC at the University of Chicago, Chicago, Illinois, United States, (2) Centers for Disease Control and Prevention, Atlanta, Georgia, United States
Co-Author(s):
Holly Hill
Centers for Disease Control and Prevention
Yi Mu
Centers for Disease Control and Prevention
First Author:
Presenting Author:
Abstract Text:
Total survey error (TSE) is the difference between a survey estimate and the true value of the corresponding population parameter. We use TSE to evaluate sampling and nonsampling errors in vaccination coverage estimates for children aged 19-35 months from CDC's National Immunization Survey-Child. We derive estimates of sampling-frame coverage error, nonresponse error, measurement error, and sampling error using such data sources as the National Health Interview Survey and immunization information systems. A Monte Carlo approach then combines estimated distributions of error components into a TSE distribution for the survey estimate of vaccination coverage. The mean of the TSE distribution provides an estimate of total bias in the survey estimator, and the 95% credible interval provides an interval within which total survey error falls with 0.95 probability. Our estimates of mean TSE for 4+ doses of DTaP (-4.0 percentage points), 1+ doses of MMR (-1.7 pp), Hep B birth dose (-3.3 pp), and the combined 7-vaccine series (-9.2 pp) indicate underestimates of vaccination coverage. Measurement error (or provider underascertainment) is consistently found to be the largest error component.
Keywords:
Total survey error|Sampling-frame coverage error|Nonresponse error|Nonresponse error|Random digit dialing|
Sponsors:
Survey Research Methods Section
Tracks:
Miscellaneous
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