Literature DB >> 9921964

Quality of HMO vaccination databases used to monitor childhood vaccine safety. Vaccine Safety DataLink Team.

J Mullooly1, L Drew, F DeStefano, R Chen, K Okoro, E Swint, V Immanuel, P Ray, N Lewis, C Vadheim, M Lugg.   

Abstract

The availability of large, population-based, automated, medical care databases provides unique opportunities for monitoring the safety of childhood vaccines. The authors assessed the quality of automated vaccination databases by comparing them with vaccinations documented in paper-based medical records at three large US West Coast health maintenance organizations (HMOs) participating in the Vaccine Safety DataLink (VSD) study, a Centers for Disease Control and Prevention collaborative study of childhood vaccine safety. The authors randomly selected 1% or 2% samples of VSD study populations (n = 1,224-2,577) for data quality analyses. Agreement between automated and abstracted vaccinations required identical triads of child identification number, vaccination date, and vaccine type. Separate analyses were conducted for each HMO and for each vaccine type administered between 1991 and 1995. Agreement was measured by three matching proportions: 1) the proportion of automated vaccinations present in the abstracted source, 2) the proportion of abstracted vaccinations present in the automated source, and 3) the proportion of vaccinations from either source present in both sources. Overall, for common childhood vaccines, proportion 1 ranged from 83% to 99%, proportion 2 ranged from 82% to 98%, and proportion 3 ranged from 70% to 97%. Lack of automated data was the most frequent type of discrepancy, followed by date mismatches and vaccine type mismatches. Vaccination exposure classification errors in the range reported here were found by mathematical modeling to only modestly bias measured medical outcome rate ratios toward the null hypothesis. The results of the data quality analyses support the usefulness of vaccination exposure data derived from these automated HMO vaccination databases.

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Year:  1999        PMID: 9921964     DOI: 10.1093/oxfordjournals.aje.a009785

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  11 in total

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3.  Family Characteristics Associated with Likelihood of Varicella Vaccination.

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Journal:  Perm J       Date:  2016-04-15

4.  Evaluation of scanning 2D barcoded vaccines to improve data accuracy of vaccines administered.

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7.  Association Between Rotavirus Vaccination and Type 1 Diabetes in Children.

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8.  Web-Based Tailored Messaging to Increase Vaccination: A Randomized Clinical Trial.

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9.  Assessing Potential Confounding and Misclassification Bias When Studying the Safety of the Childhood Immunization Schedule.

Authors:  Matthew F Daley; Jo Ann Shoup; Sophia R Newcomer; Michael L Jackson; Holly C Groom; Steven J Jacobsen; Huong Q McLean; Nicola P Klein; Eric S Weintraub; Michael M McNeil; Jason M Glanz
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10.  Guillain-Barré Syndrome, Influenza Vaccination, and Antecedent Respiratory and Gastrointestinal Infections: A Case-Centered Analysis in the Vaccine Safety Datalink, 2009-2011.

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Journal:  PLoS One       Date:  2013-06-26       Impact factor: 3.240

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