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Validation of infant immunization billing codes in administrative data
Ontario has a single payer provincial health insurance program. Administrative data may provide a potentially robust source of information for post-marketing vaccine studies. Vaccine-specific immunization billing codes were introduced in 2011. Our objective was to validate Ontario's universal h...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4514409/ https://www.ncbi.nlm.nih.gov/pubmed/26075651 http://dx.doi.org/10.1080/21645515.2015.1043499 |
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author | Schwartz, Kevin L Tu, Karen Wing, Laura Campitelli, Michael A Crowcroft, Natasha S Deeks, Shelley L Wilson, Sarah E Wilson, Kumanan Gemmill, Ian Kwong, Jeffrey C |
author_facet | Schwartz, Kevin L Tu, Karen Wing, Laura Campitelli, Michael A Crowcroft, Natasha S Deeks, Shelley L Wilson, Sarah E Wilson, Kumanan Gemmill, Ian Kwong, Jeffrey C |
author_sort | Schwartz, Kevin L |
collection | PubMed |
description | Ontario has a single payer provincial health insurance program. Administrative data may provide a potentially robust source of information for post-marketing vaccine studies. Vaccine-specific immunization billing codes were introduced in 2011. Our objective was to validate Ontario's universal health care administrative datasets to assess infant immunization status. Electronic medical record data from the Electronic Medical Record Administrative data Linked Database (EMRALD) was used as the reference standard to calculate performance characteristics of the Ontario Health Insurance Plan (OHIP) database vaccine-specific and general immunization codes for 4 primary infant immunizations: diphtheria, tetanus, acellular pertussis, inactivated polio, Haemophilus influenzae type B (DTaP-IPV-Hib) combination vaccine, pneumococcal conjugate vaccine, measles, mumps, rubella (MMR) vaccine, and meningococcal conjugate serogroup C vaccine. OHIP billing claims had specificity ranging from 81% to 92%, sensitivity 70% to 83%, positive predictive value (PPV) 97% to 99%, and negative predictive value (NPV) 13% to 46% for identifying the various specific vaccines in administrative data. For cohorts vaccinated in the new code introduction phase, using both the vaccine-specific and general codes had higher sensitivity than the vaccine-specific codes alone. In conclusion, immunization billing claims from administrative data in Ontario had high specificity and PPV, moderate sensitivity, and low NPV. This study identifies some of the applications of utilizing administrative data for post-marketing vaccine studies. However, limitations of these data decrease their utility for measuring vaccine coverage and effectiveness. Therefore, the establishment of a comprehensive and linkable immunization registry should be a provincial priority. |
format | Online Article Text |
id | pubmed-4514409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-45144092016-02-03 Validation of infant immunization billing codes in administrative data Schwartz, Kevin L Tu, Karen Wing, Laura Campitelli, Michael A Crowcroft, Natasha S Deeks, Shelley L Wilson, Sarah E Wilson, Kumanan Gemmill, Ian Kwong, Jeffrey C Hum Vaccin Immunother Research Paper Ontario has a single payer provincial health insurance program. Administrative data may provide a potentially robust source of information for post-marketing vaccine studies. Vaccine-specific immunization billing codes were introduced in 2011. Our objective was to validate Ontario's universal health care administrative datasets to assess infant immunization status. Electronic medical record data from the Electronic Medical Record Administrative data Linked Database (EMRALD) was used as the reference standard to calculate performance characteristics of the Ontario Health Insurance Plan (OHIP) database vaccine-specific and general immunization codes for 4 primary infant immunizations: diphtheria, tetanus, acellular pertussis, inactivated polio, Haemophilus influenzae type B (DTaP-IPV-Hib) combination vaccine, pneumococcal conjugate vaccine, measles, mumps, rubella (MMR) vaccine, and meningococcal conjugate serogroup C vaccine. OHIP billing claims had specificity ranging from 81% to 92%, sensitivity 70% to 83%, positive predictive value (PPV) 97% to 99%, and negative predictive value (NPV) 13% to 46% for identifying the various specific vaccines in administrative data. For cohorts vaccinated in the new code introduction phase, using both the vaccine-specific and general codes had higher sensitivity than the vaccine-specific codes alone. In conclusion, immunization billing claims from administrative data in Ontario had high specificity and PPV, moderate sensitivity, and low NPV. This study identifies some of the applications of utilizing administrative data for post-marketing vaccine studies. However, limitations of these data decrease their utility for measuring vaccine coverage and effectiveness. Therefore, the establishment of a comprehensive and linkable immunization registry should be a provincial priority. Taylor & Francis 2015-06-15 /pmc/articles/PMC4514409/ /pubmed/26075651 http://dx.doi.org/10.1080/21645515.2015.1043499 Text en © 2015 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted. |
spellingShingle | Research Paper Schwartz, Kevin L Tu, Karen Wing, Laura Campitelli, Michael A Crowcroft, Natasha S Deeks, Shelley L Wilson, Sarah E Wilson, Kumanan Gemmill, Ian Kwong, Jeffrey C Validation of infant immunization billing codes in administrative data |
title | Validation of infant immunization billing codes in administrative data |
title_full | Validation of infant immunization billing codes in administrative data |
title_fullStr | Validation of infant immunization billing codes in administrative data |
title_full_unstemmed | Validation of infant immunization billing codes in administrative data |
title_short | Validation of infant immunization billing codes in administrative data |
title_sort | validation of infant immunization billing codes in administrative data |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4514409/ https://www.ncbi.nlm.nih.gov/pubmed/26075651 http://dx.doi.org/10.1080/21645515.2015.1043499 |
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