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Estimating the burden and economic impact of pediatric genetic disease
PURPOSE: To identify the economic impact of pediatric patients with clinical indications of genetic disease (GD) on the US health-care system. METHODS: Using the 2012 Kids’ Inpatient Database, we identified pediatric inpatient discharges with International Classification of Diseases, Ninth Revision,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752475/ https://www.ncbi.nlm.nih.gov/pubmed/30568310 http://dx.doi.org/10.1038/s41436-018-0398-5 |
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author | Gonzaludo, Nina Belmont, John W. Gainullin, Vladimir G. Taft, Ryan J. |
author_facet | Gonzaludo, Nina Belmont, John W. Gainullin, Vladimir G. Taft, Ryan J. |
author_sort | Gonzaludo, Nina |
collection | PubMed |
description | PURPOSE: To identify the economic impact of pediatric patients with clinical indications of genetic disease (GD) on the US health-care system. METHODS: Using the 2012 Kids’ Inpatient Database, we identified pediatric inpatient discharges with International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes linked to genetic disease, including well-established genetic disorders, neurological diseases, birth defects, and other physiological or functional abnormalities with a genetic basis. Cohort characteristics and health-care utilization measures were analyzed. Discharges with a GD-associated primary diagnosis were used to estimate the minimum burden; discharges with GD-associated primary or secondary codes established the maximum burden. RESULTS: Of 5.85 million weighted discharges, 2.6–14% included GD-associated ICD-9-CM codes. For these discharges, mean total costs were $16,000–77,000 higher (P < 0.0001) in neonates and $12,000–17,000 higher (P < 0.0001) in pediatric patients compared with background, corresponding to significantly higher total charges and lengths of stay. Aggregate total charges for suspected GD accounted for $14 to $57 billion (11–46%) of the “national bill” for pediatric patients in 2012. CONCLUSION: Pediatric inpatients with diagnostic codes linked to genetic disease have a significant and disproportionate impact on resources and costs in the US health-care system. |
format | Online Article Text |
id | pubmed-6752475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67524752019-09-23 Estimating the burden and economic impact of pediatric genetic disease Gonzaludo, Nina Belmont, John W. Gainullin, Vladimir G. Taft, Ryan J. Genet Med Article PURPOSE: To identify the economic impact of pediatric patients with clinical indications of genetic disease (GD) on the US health-care system. METHODS: Using the 2012 Kids’ Inpatient Database, we identified pediatric inpatient discharges with International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes linked to genetic disease, including well-established genetic disorders, neurological diseases, birth defects, and other physiological or functional abnormalities with a genetic basis. Cohort characteristics and health-care utilization measures were analyzed. Discharges with a GD-associated primary diagnosis were used to estimate the minimum burden; discharges with GD-associated primary or secondary codes established the maximum burden. RESULTS: Of 5.85 million weighted discharges, 2.6–14% included GD-associated ICD-9-CM codes. For these discharges, mean total costs were $16,000–77,000 higher (P < 0.0001) in neonates and $12,000–17,000 higher (P < 0.0001) in pediatric patients compared with background, corresponding to significantly higher total charges and lengths of stay. Aggregate total charges for suspected GD accounted for $14 to $57 billion (11–46%) of the “national bill” for pediatric patients in 2012. CONCLUSION: Pediatric inpatients with diagnostic codes linked to genetic disease have a significant and disproportionate impact on resources and costs in the US health-care system. Nature Publishing Group US 2018-12-20 2019 /pmc/articles/PMC6752475/ /pubmed/30568310 http://dx.doi.org/10.1038/s41436-018-0398-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
spellingShingle | Article Gonzaludo, Nina Belmont, John W. Gainullin, Vladimir G. Taft, Ryan J. Estimating the burden and economic impact of pediatric genetic disease |
title | Estimating the burden and economic impact of pediatric genetic
disease |
title_full | Estimating the burden and economic impact of pediatric genetic
disease |
title_fullStr | Estimating the burden and economic impact of pediatric genetic
disease |
title_full_unstemmed | Estimating the burden and economic impact of pediatric genetic
disease |
title_short | Estimating the burden and economic impact of pediatric genetic
disease |
title_sort | estimating the burden and economic impact of pediatric genetic
disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752475/ https://www.ncbi.nlm.nih.gov/pubmed/30568310 http://dx.doi.org/10.1038/s41436-018-0398-5 |
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