付款人报销做法和激励措施,以改善生殖系基因检测的解释。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Patricia Deverka, Janis Geary, Charles Mathews, Matan Cohen, Gillian Hooker, Mary Majumder, Zuzana Skvarkova, Robert Cook-Deegan
{"title":"付款人报销做法和激励措施,以改善生殖系基因检测的解释。","authors":"Patricia Deverka,&nbsp;Janis Geary,&nbsp;Charles Mathews,&nbsp;Matan Cohen,&nbsp;Gillian Hooker,&nbsp;Mary Majumder,&nbsp;Zuzana Skvarkova,&nbsp;Robert Cook-Deegan","doi":"10.1093/jlb/lsad020","DOIUrl":null,"url":null,"abstract":"<p><p>Germline genetic testing for inherited cancer risk has shifted to multi-gene panel tests (MGPTs). While MGPTs detect more pathogenic variants, they also detect more variants of uncertain significance (VUSs) that increase the possibility of harms such as unnecessary surgery. Data sharing by laboratories is critical to addressing the VUS problem. However, barriers to sharing and an absence of incentives have limited laboratory contributions to the ClinVar database. Payers can play a crucial role in the expansion of knowledge and effectiveness of genetic testing. Current policies affecting MGPT reimbursement are complex and create perverse incentives. Trends in utilization and coverage for private payers and Medicare illustrate opportunities and challenges for data sharing to close knowledge gaps and improve clinical utility. Policy options include making data sharing (i) a condition of payment, and (ii) a metric of laboratory quality in payment contracts, yielding preferred coverage or enhanced reimbursement. Mandating data sharing sufficient to verify interpretations and resolve discordance among labs under Medicare and federal health programs is an option for the US Congress. Such policies can reduce the current waste of valuable data needed for precision oncology and improved patient outcomes, enabling a learning health system.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"10 2","pages":"lsad020"},"PeriodicalIF":4.6000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332933/pdf/","citationCount":"0","resultStr":"{\"title\":\"Payer reimbursement practices and incentives for improving interpretation of germline genetic testing.\",\"authors\":\"Patricia Deverka,&nbsp;Janis Geary,&nbsp;Charles Mathews,&nbsp;Matan Cohen,&nbsp;Gillian Hooker,&nbsp;Mary Majumder,&nbsp;Zuzana Skvarkova,&nbsp;Robert Cook-Deegan\",\"doi\":\"10.1093/jlb/lsad020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Germline genetic testing for inherited cancer risk has shifted to multi-gene panel tests (MGPTs). While MGPTs detect more pathogenic variants, they also detect more variants of uncertain significance (VUSs) that increase the possibility of harms such as unnecessary surgery. Data sharing by laboratories is critical to addressing the VUS problem. However, barriers to sharing and an absence of incentives have limited laboratory contributions to the ClinVar database. Payers can play a crucial role in the expansion of knowledge and effectiveness of genetic testing. Current policies affecting MGPT reimbursement are complex and create perverse incentives. Trends in utilization and coverage for private payers and Medicare illustrate opportunities and challenges for data sharing to close knowledge gaps and improve clinical utility. Policy options include making data sharing (i) a condition of payment, and (ii) a metric of laboratory quality in payment contracts, yielding preferred coverage or enhanced reimbursement. Mandating data sharing sufficient to verify interpretations and resolve discordance among labs under Medicare and federal health programs is an option for the US Congress. Such policies can reduce the current waste of valuable data needed for precision oncology and improved patient outcomes, enabling a learning health system.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":\"10 2\",\"pages\":\"lsad020\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332933/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/jlb/lsad020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/jlb/lsad020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

摘要

遗传癌症风险的生殖系基因检测已经转向多基因面板检测(MGPTs)。虽然mgp检测到更多的致病变异,但它们也检测到更多的不确定意义变异(VUSs),这些变异增加了诸如不必要手术等危害的可能性。实验室之间的数据共享对于解决VUS问题至关重要。然而,共享的障碍和缺乏激励限制了实验室对ClinVar数据库的贡献。支付方可以在扩大基因检测的知识和有效性方面发挥关键作用。目前影响MGPT报销的政策是复杂的,并产生了不正当的激励。私人支付者和医疗保险的利用和覆盖趋势说明了数据共享的机遇和挑战,以缩小知识差距和提高临床效用。政策选择包括将数据共享(i)作为支付条件,以及(ii)作为支付合同中实验室质量的衡量标准,从而产生优先覆盖或提高报销。强制数据共享足以验证医疗保险和联邦健康计划下实验室之间的解释和解决不一致是美国国会的一个选择。这些政策可以减少目前对精确肿瘤学所需的宝贵数据的浪费,并改善患者的预后,从而实现学习型卫生系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Payer reimbursement practices and incentives for improving interpretation of germline genetic testing.

Germline genetic testing for inherited cancer risk has shifted to multi-gene panel tests (MGPTs). While MGPTs detect more pathogenic variants, they also detect more variants of uncertain significance (VUSs) that increase the possibility of harms such as unnecessary surgery. Data sharing by laboratories is critical to addressing the VUS problem. However, barriers to sharing and an absence of incentives have limited laboratory contributions to the ClinVar database. Payers can play a crucial role in the expansion of knowledge and effectiveness of genetic testing. Current policies affecting MGPT reimbursement are complex and create perverse incentives. Trends in utilization and coverage for private payers and Medicare illustrate opportunities and challenges for data sharing to close knowledge gaps and improve clinical utility. Policy options include making data sharing (i) a condition of payment, and (ii) a metric of laboratory quality in payment contracts, yielding preferred coverage or enhanced reimbursement. Mandating data sharing sufficient to verify interpretations and resolve discordance among labs under Medicare and federal health programs is an option for the US Congress. Such policies can reduce the current waste of valuable data needed for precision oncology and improved patient outcomes, enabling a learning health system.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信