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Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments
Observational studies, particularly those using large administrative claims databases, have become increasingly popular sources of comparative effectiveness or comparative safety research. Studies using claims data often face challenges and criticisms due to the lack of certain clinical information,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308086/ https://www.ncbi.nlm.nih.gov/pubmed/21996148 http://dx.doi.org/10.1186/ar3472 |
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author | Kim, Seo Young Solomon, Daniel H |
author_facet | Kim, Seo Young Solomon, Daniel H |
author_sort | Kim, Seo Young |
collection | PubMed |
description | Observational studies, particularly those using large administrative claims databases, have become increasingly popular sources of comparative effectiveness or comparative safety research. Studies using claims data often face challenges and criticisms due to the lack of certain clinical information, such as lifestyle risk factors, disease severity, and questionable accuracy of disease diagnoses. A novel, claims-based algorithm to evaluate the clinical effectiveness of rheumatoid arthritis medications has been developed and its performance seems promising, although further validation is needed. |
format | Online Article Text |
id | pubmed-3308086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33080862012-04-07 Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments Kim, Seo Young Solomon, Daniel H Arthritis Res Ther Editorial Observational studies, particularly those using large administrative claims databases, have become increasingly popular sources of comparative effectiveness or comparative safety research. Studies using claims data often face challenges and criticisms due to the lack of certain clinical information, such as lifestyle risk factors, disease severity, and questionable accuracy of disease diagnoses. A novel, claims-based algorithm to evaluate the clinical effectiveness of rheumatoid arthritis medications has been developed and its performance seems promising, although further validation is needed. BioMed Central 2011 2011-10-07 /pmc/articles/PMC3308086/ /pubmed/21996148 http://dx.doi.org/10.1186/ar3472 Text en Copyright ©2011 BioMed Central Ltd |
spellingShingle | Editorial Kim, Seo Young Solomon, Daniel H Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
title | Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
title_full | Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
title_fullStr | Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
title_full_unstemmed | Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
title_short | Use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
title_sort | use of administrative claims data for comparative effectiveness research of rheumatoid arthritis treatments |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308086/ https://www.ncbi.nlm.nih.gov/pubmed/21996148 http://dx.doi.org/10.1186/ar3472 |
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