| Autor: |
Tao X; NORC at the University of Chicago., Ravanam M; NORC at the University of Chicago., Skalland B; NORC at the University of Chicago., Wolter K; NORC at the University of Chicago., Yankey D; National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention., Zhao Z; National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention. |
| Jazyk: |
angličtina |
| Zdroj: |
Proceedings. American Statistical Association. Annual Meeting [Proc Am Stat Assoc] 2018 Sep; Vol. 2018, pp. 686-695. |
| Abstrakt: |
Adaptive design principles are applied to the National Immunization Survey-Teen (NIS-Teen), sponsored by Centers for Disease Control and Prevention, which monitors vaccination coverage of U.S. adolescents age 13-17 years. Data collection is ongoing in two phases: (1) a random-digit-dial telephone survey to interview parents/guardians with age-eligible adolescents, followed by (2) a mail survey to vaccination providers, called the provider record check (PRC), to obtain vaccination histories for the adolescents. A logistic regression model relating the probability that an Immunization History Questionnaire (IHQ) is returned for a teen-provider pair to characteristics of the adolescent, mother, household, and providers was fit. R-indicators and partial R-indicators for the PRC phase of the 2015 NIS-Teen are presented to evaluate the representativeness of response in the PRC. The indicators are visualized using interactive graphics embodied in an R Shiny application to track the real time changes. Programmatic interventions to improve representativeness are discussed, which include strategies for prompting providers and special treatment of certain subgroups. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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