Analysis of Total Survey Error in the 2022 National Immunization Survey-Child

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):

Zachary Seeskin  
NORC at the University of Chicago
Benjamin Skalland  
NORC at the University of Chicago
Kirk Wolter  
NORC at the University of Chicago
Holly Hill  
Centers for Disease Control and Prevention
David Yankey  
Centers for Disease Control and Prevention
Laurie D Elam-Evans  
Centers for Disease Control and Prevention
Yi Mu  
Centers for Disease Control and Prevention
Kushagra Vashist  
Centers for Disease Control and Prevention

First Author:

YUHEI KOSHINO  
NORC at the University of Chicago

Presenting Author:

YUHEI KOSHINO  
N/A

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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