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The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands
BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kidney disease (CKD) prevalence in a nationwide population. Our aim was to study Dutch claims data for their ability to identify CKD patients in different subgroups. METHODS: From a laboratory database,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280937/ https://www.ncbi.nlm.nih.gov/pubmed/34276977 http://dx.doi.org/10.1093/ckj/sfaa167 |
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author | van Oosten, Manon J M Brohet, Richard M Logtenberg, Susan J J Kramer, Anneke Dikkeschei, Lambert D Hemmelder, Marc H Bilo, Henk J G Jager, Kitty J Stel, Vianda S |
author_facet | van Oosten, Manon J M Brohet, Richard M Logtenberg, Susan J J Kramer, Anneke Dikkeschei, Lambert D Hemmelder, Marc H Bilo, Henk J G Jager, Kitty J Stel, Vianda S |
author_sort | van Oosten, Manon J M |
collection | PubMed |
description | BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kidney disease (CKD) prevalence in a nationwide population. Our aim was to study Dutch claims data for their ability to identify CKD patients in different subgroups. METHODS: From a laboratory database, we selected 24 895 adults with at least one creatinine measurement in 2014 ordered at an outpatient clinic. Of these, 15 805 had ≥2 creatinine measurements at least 3 months apart and could be assessed for the chronicity criterion. We estimated the validity of a claim-based diagnosis of CKD and advanced CKD. The estimated glomerular filtration rate (eGFR)-based definitions for CKD (eGFR < 60 mL/min/1.73 m(2)) and advanced CKD (eGFR < 30 mL/min/1.73 m(2)) satisfying and not satisfying the chronicity criterion served as reference group. Analyses were stratified by age and sex. RESULTS: In general, sensitivity of claims data was highest in the population with the chronicity criterion as reference group. Sensitivity was higher in advanced CKD patients than in CKD patients {51% [95% confidence interval (CI) 47–56%] versus 27% [95% CI 25–28%]}. Furthermore, sensitivity was higher in young versus elderly patients. In patients with advanced CKD, sensitivity was 72% (95% CI 62–83%) for patients aged 20–59 years and 43% (95% CI 38–49%) in patients ≥75 years. The specificity of CKD and advanced CKD was ≥99%. Positive predictive values ranged from 72% to 99% and negative predictive values ranged from 40% to 100%. CONCLUSION: When using health claims data for the estimation of CKD prevalence, it is important to take into account the characteristics of the population at hand. The younger the subjects and the more advanced the stage of CKD the higher the sensitivity of such data. Understanding which patients are selected using health claims data is crucial for a correct interpretation of study results. |
format | Online Article Text |
id | pubmed-8280937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82809372021-07-16 The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands van Oosten, Manon J M Brohet, Richard M Logtenberg, Susan J J Kramer, Anneke Dikkeschei, Lambert D Hemmelder, Marc H Bilo, Henk J G Jager, Kitty J Stel, Vianda S Clin Kidney J Original Articles BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kidney disease (CKD) prevalence in a nationwide population. Our aim was to study Dutch claims data for their ability to identify CKD patients in different subgroups. METHODS: From a laboratory database, we selected 24 895 adults with at least one creatinine measurement in 2014 ordered at an outpatient clinic. Of these, 15 805 had ≥2 creatinine measurements at least 3 months apart and could be assessed for the chronicity criterion. We estimated the validity of a claim-based diagnosis of CKD and advanced CKD. The estimated glomerular filtration rate (eGFR)-based definitions for CKD (eGFR < 60 mL/min/1.73 m(2)) and advanced CKD (eGFR < 30 mL/min/1.73 m(2)) satisfying and not satisfying the chronicity criterion served as reference group. Analyses were stratified by age and sex. RESULTS: In general, sensitivity of claims data was highest in the population with the chronicity criterion as reference group. Sensitivity was higher in advanced CKD patients than in CKD patients {51% [95% confidence interval (CI) 47–56%] versus 27% [95% CI 25–28%]}. Furthermore, sensitivity was higher in young versus elderly patients. In patients with advanced CKD, sensitivity was 72% (95% CI 62–83%) for patients aged 20–59 years and 43% (95% CI 38–49%) in patients ≥75 years. The specificity of CKD and advanced CKD was ≥99%. Positive predictive values ranged from 72% to 99% and negative predictive values ranged from 40% to 100%. CONCLUSION: When using health claims data for the estimation of CKD prevalence, it is important to take into account the characteristics of the population at hand. The younger the subjects and the more advanced the stage of CKD the higher the sensitivity of such data. Understanding which patients are selected using health claims data is crucial for a correct interpretation of study results. Oxford University Press 2020-11-09 /pmc/articles/PMC8280937/ /pubmed/34276977 http://dx.doi.org/10.1093/ckj/sfaa167 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of ERA-EDTA. https://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/ (https://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 | Original Articles van Oosten, Manon J M Brohet, Richard M Logtenberg, Susan J J Kramer, Anneke Dikkeschei, Lambert D Hemmelder, Marc H Bilo, Henk J G Jager, Kitty J Stel, Vianda S The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands |
title | The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands |
title_full | The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands |
title_fullStr | The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands |
title_full_unstemmed | The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands |
title_short | The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands |
title_sort | validity of dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the netherlands |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280937/ https://www.ncbi.nlm.nih.gov/pubmed/34276977 http://dx.doi.org/10.1093/ckj/sfaa167 |
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