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Health claims databases used for kidney research around the world

Health claims databases offer opportunities for studies on large populations of patients with kidney disease and health outcomes in a non-experimental setting. Among others, their unique features enable studies on healthcare costs or on longitudinal, epidemiological data with nationwide coverage. Ho...

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Autores principales: van Oosten, Manon J M, Logtenberg, Susan J J, Edens, Mireille A, Hemmelder, Marc H, Jager, Kitty J, Bilo, Henk J G, Stel, Vianda S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857833/
https://www.ncbi.nlm.nih.gov/pubmed/33564408
http://dx.doi.org/10.1093/ckj/sfaa076
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author van Oosten, Manon J M
Logtenberg, Susan J J
Edens, Mireille A
Hemmelder, Marc H
Jager, Kitty J
Bilo, Henk J G
Stel, Vianda S
author_facet van Oosten, Manon J M
Logtenberg, Susan J J
Edens, Mireille A
Hemmelder, Marc H
Jager, Kitty J
Bilo, Henk J G
Stel, Vianda S
author_sort van Oosten, Manon J M
collection PubMed
description Health claims databases offer opportunities for studies on large populations of patients with kidney disease and health outcomes in a non-experimental setting. Among others, their unique features enable studies on healthcare costs or on longitudinal, epidemiological data with nationwide coverage. However, health claims databases also have several limitations. Because clinical data and information on renal function are often lacking, the identification of patients with kidney disease depends on the actual presence of diagnosis codes only. Investigating the validity of these data is therefore crucial to assess whether outcomes derived from health claims data are truly meaningful. Also, one should take into account the coverage and content of a health claims database, especially when making international comparisons. In this article, an overview is provided of international health claims databases and their main publications in the area of nephrology. The structure and contents of the Dutch health claims database will be described, as well as an initiative to use the outcomes for research and the development of the Dutch Kidney Atlas. Finally, we will discuss to what extent one might be able to identify patients with kidney disease using health claims databases, as well as their strengths and limitations.
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spelling pubmed-78578332021-02-08 Health claims databases used for kidney research around the world van Oosten, Manon J M Logtenberg, Susan J J Edens, Mireille A Hemmelder, Marc H Jager, Kitty J Bilo, Henk J G Stel, Vianda S Clin Kidney J CKJ Reviews Health claims databases offer opportunities for studies on large populations of patients with kidney disease and health outcomes in a non-experimental setting. Among others, their unique features enable studies on healthcare costs or on longitudinal, epidemiological data with nationwide coverage. However, health claims databases also have several limitations. Because clinical data and information on renal function are often lacking, the identification of patients with kidney disease depends on the actual presence of diagnosis codes only. Investigating the validity of these data is therefore crucial to assess whether outcomes derived from health claims data are truly meaningful. Also, one should take into account the coverage and content of a health claims database, especially when making international comparisons. In this article, an overview is provided of international health claims databases and their main publications in the area of nephrology. The structure and contents of the Dutch health claims database will be described, as well as an initiative to use the outcomes for research and the development of the Dutch Kidney Atlas. Finally, we will discuss to what extent one might be able to identify patients with kidney disease using health claims databases, as well as their strengths and limitations. Oxford University Press 2020-06-27 /pmc/articles/PMC7857833/ /pubmed/33564408 http://dx.doi.org/10.1093/ckj/sfaa076 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle CKJ Reviews
van Oosten, Manon J M
Logtenberg, Susan J J
Edens, Mireille A
Hemmelder, Marc H
Jager, Kitty J
Bilo, Henk J G
Stel, Vianda S
Health claims databases used for kidney research around the world
title Health claims databases used for kidney research around the world
title_full Health claims databases used for kidney research around the world
title_fullStr Health claims databases used for kidney research around the world
title_full_unstemmed Health claims databases used for kidney research around the world
title_short Health claims databases used for kidney research around the world
title_sort health claims databases used for kidney research around the world
topic CKJ Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857833/
https://www.ncbi.nlm.nih.gov/pubmed/33564408
http://dx.doi.org/10.1093/ckj/sfaa076
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