Estimating the burden and economic impact of pediatric genetic disease
- PMID: 30568310
- PMCID: PMC6752475
- DOI: 10.1038/s41436-018-0398-5
Estimating the burden and economic impact of pediatric genetic disease
Erratum in
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Correction: Estimating the burden and economic impact of pediatric genetic disease.Genet Med. 2019 Sep;21(9):2161. doi: 10.1038/s41436-019-0458-5. Genet Med. 2019. PMID: 30760893 Free PMC article.
Abstract
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.
Keywords: cost; economic burden; genetic disease; health-care utilization; pediatrics.
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References
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- OMIM. Baltimore, MD: Johns Hopkins University, McKusick-Nathans Institute of Genetic Medicine. 2017. https://omim.org/.
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