Genetic Test Utilization and Cost among Families of Children Evaluated for Genetic Conditions: An Analysis of USA Commercial Claims Data.

IF 3.1 4区 医学 Q1 ECONOMICS Applied Health Economics and Health Policy Pub Date : 2025-01-08 DOI:10.1007/s40258-024-00942-9
Hadley Stevens Smith, Matthew Lakoma, Madison R Hickingbotham, Dawn Cardeiro, Katharine P Callahan, Monica H Wojcik, Ann Chen Wu, Christine Y Lu
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Abstract

Introduction: Healthcare payers in the USA increasingly cover genetic testing, including exome sequencing (ES), for pediatric indications. Analysis of claims data enables understanding of utilization and costs in real-world settings. The objective of this study was to describe genetic test utilization, diagnostic outcomes, and costs for children who received ES as well as for those who received less comprehensive forms of genetic testing, along with their families.

Patients and methods: We analyzed linked family claims data for commercially insured members of a large regional health plan. The sample included children younger than 18 years of age who had at least 1 year of continuous plan enrollment and at least one claim for genetic testing from 2016 to 2022, as well as their family members. We compared outcomes for children who ever had a claim for ES (ES cohort) with those for children who had claims for only less comprehensive genetic testing (other genetic testing (OGT) cohort). We evaluated the frequency of ICD-10 codes indicating genetic diagnoses, health care utilization, and out-of-pocket costs in relation to the timing of the index genetic test using t-tests and inverse-probability-of-treatment weighted regression models to control for observable clinical and demographic characteristics associated with type of testing received.

Results: Our sample included 182 children (mean comorbidity index 4.78) in the ES cohort and 1789 children in the OGT cohort (3.63; p < 0.001). ES led to an average of 1.44 (95% confidence interval [CI] 0.67-2.20) more new genetic diagnostic codes after testing than OGT. A larger proportion of the proband's family members had subsequent genetic testing in the ES cohort (mean 33.3%) than in the OGT cohort (0.5%; p < 0.001), but no differences in the number of new genetic diagnoses in family members were observed. Out-of-pocket costs for genetic testing did not differ between the two cohorts stratified by clinical severity.

Conclusions: In our sample of commercially insured pediatric patients, claims for ES were less frequent and occurred among children with more clinical complexity than those for less comprehensive genetic testing. Children in the ES cohort had a higher number of new genetic diagnoses post-testing than those in the OGT cohort with no significant differences in out-of-pocket cost of testing to families. Our findings suggest that ES is being reimbursed for children who may be difficult to diagnose.

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基因检测在儿童家庭中的使用和成本评估遗传条件:美国商业索赔数据的分析。
简介:美国的医疗保健支付者越来越多地覆盖儿科适应症的基因检测,包括外显子组测序(ES)。对索赔数据的分析使我们能够理解现实环境中的利用率和成本。本研究的目的是描述接受ES的儿童以及接受不太全面的基因检测的儿童及其家庭的基因检测使用情况、诊断结果和费用。患者和方法:我们分析了大型区域健康计划中商业保险成员的相关家庭索赔数据。样本包括18岁以下的儿童,他们在2016年至2022年期间至少连续参加了一年的计划,并且至少有一次要求进行基因检测,以及他们的家庭成员。我们比较了曾经要求进行ES检测的儿童(ES队列)和只要求进行不太全面的基因检测的儿童(其他基因检测(OGT)队列)的结果。我们使用t检验和治疗逆概率加权回归模型来评估ICD-10编码的频率,这些编码表明遗传诊断、医疗保健利用和自付费用与指数基因检测的时间有关,以控制与所接受的检测类型相关的可观察临床和人口统计学特征。结果:我们的样本包括182名ES组儿童(平均合并症指数4.78)和1789名OGT组儿童(平均合并症指数3.63;结论:在我们的商业保险儿科患者样本中,ES的索赔频率较低,并且发生在临床复杂性较高的儿童中,而不是那些进行不太全面的基因检测的儿童。与OGT组相比,ES组的儿童在检测后有更多的新基因诊断,但在家庭自付检测费用方面没有显著差异。我们的研究结果表明,对于那些可能难以诊断的儿童,ES是可以报销的。
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来源期刊
Applied Health Economics and Health Policy
Applied Health Economics and Health Policy Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
6.10
自引率
2.80%
发文量
64
期刊介绍: Applied Health Economics and Health Policy provides timely publication of cutting-edge research and expert opinion from this increasingly important field, making it a vital resource for payers, providers and researchers alike. The journal includes high quality economic research and reviews of all aspects of healthcare from various perspectives and countries, designed to communicate the latest applied information in health economics and health policy. While emphasis is placed on information with practical applications, a strong basis of underlying scientific rigor is maintained.
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