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Activity Number:
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96
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 12, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods*
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| Abstract - #300978 |
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Title:
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Alternative Methods to Adjust Vaccination Coverage Rates for Missing Immunization Histories in the National Immunization Survey
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Author(s):
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Meena Khare*+ and Michael Battaglia
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Affiliation(s):
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National Center for Health Statistics and Abt Associates, Inc.
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Address:
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6525 Belcrest Road, Hyattsville, Maryland, 20782, USA
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Keywords:
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Best vaccination value ; Imputation ; Direct adjustment
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Abstract:
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The National Immunization Survey (NIS) is designed to collect immunization histories to monitor vaccination coverage rates among children aged 19-35 months in the U.S. The NIS consists of a list-assisted random-digit-dialing telephone survey of the parents/guardians of the children, followed by a mail survey of the children's providers to obtain vaccination histories from the medical records. The household-reported histories are obtained from written "shot card" records or from "memory" recall. Currently, only "adequate" provider data are used to produce the official estimates. High agreement in the up-to-date status, as determined from the "shot card" and the provider data, support supplementing the missing provider data with the "shot card" data. Best vaccination values at the child level are created by supplementing the missing provider-reported histories with the "shot card" data. To enhance the current estimation procedure and to reduce potential bias from missing immunization histories, alternative methods of direct ratio adjustment and imputation are evaluated in this paper. The vaccination coverage rates obtained using these methods in the 2000 NIS are compared.
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