Laura J Rasmussen-Torvik, Katherine E Bonini, Margaret H Harr, Mohammad Ali Abbass, Hana Bangash, Harris T Bland, Brenna M Boyd, Wendy K Chung, Ellen W Clayton, Stuart J Cohen, John J Connolly, Catherine Gascoigne, Valentina Hernandez M, Ingrid A Holm, Martha Horike-Pyne, Gail P Jarvik, Elizabeth W Karlson, Iftikhar J Kullo, Nita A Limdi, Mary E Maradik, Elizabeth M McNally, Emma Perez Mgc, Cynthia A Prows, Gabriel Q Shaibi, Chunhua Weng, Robb K Rowley, Josh F Peterson, Jodell E Linder, Maya Sabatello
{"title":"支付新兴网络参与者的医疗保健费用:公平和执行方面的挑战。","authors":"Laura J Rasmussen-Torvik, Katherine E Bonini, Margaret H Harr, Mohammad Ali Abbass, Hana Bangash, Harris T Bland, Brenna M Boyd, Wendy K Chung, Ellen W Clayton, Stuart J Cohen, John J Connolly, Catherine Gascoigne, Valentina Hernandez M, Ingrid A Holm, Martha Horike-Pyne, Gail P Jarvik, Elizabeth W Karlson, Iftikhar J Kullo, Nita A Limdi, Mary E Maradik, Elizabeth M McNally, Emma Perez Mgc, Cynthia A Prows, Gabriel Q Shaibi, Chunhua Weng, Robb K Rowley, Josh F Peterson, Jodell E Linder, Maya Sabatello","doi":"10.1016/j.gim.2025.101457","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The complexities of covering study-recommended medical care costs, so individuals are not limited from participating in translational research due to financial reasons, have received little attention.</p><p><strong>Materials and methods: </strong>We explored the deliberations, decisions and challenges faced by the eMERGE Network during implementation of a genomic research project recommending clinical care based on high-risk results defined largely by polygenic risk scores. Two surveys were disseminated to eMERGE sites: to identify preferences about payment for specific care recommendations (Survey-I) and to understand the operational processes of covering medical care costs (Survey-II).</p><p><strong>Results: </strong>Paying for a subset of care recommendations for the funded study duration was identified as the most feasible approach to covering medical care costs for participants who received high-risk genomic results. Each eMERGE site, by necessity, employed diverse approaches to pay for medical care costs.</p><p><strong>Discussion: </strong>eMERGE researchers balanced competing concerns about bias, equity, study design, regulatory compliance, and cost in designing a unified approach to cover some of the recommended medical care costs in the study. Many implementation challenges were encountered.</p><p><strong>Conclusions: </strong>Findings can inform researchers and regulatory bodies about the implications and complications of covering medical care costs in translational research studies focused on prevention.</p>","PeriodicalId":12717,"journal":{"name":"Genetics in Medicine","volume":" ","pages":"101457"},"PeriodicalIF":6.6000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Covering medical care costs for participants in the eMERGE Network: Challenges for equity and implementation.\",\"authors\":\"Laura J Rasmussen-Torvik, Katherine E Bonini, Margaret H Harr, Mohammad Ali Abbass, Hana Bangash, Harris T Bland, Brenna M Boyd, Wendy K Chung, Ellen W Clayton, Stuart J Cohen, John J Connolly, Catherine Gascoigne, Valentina Hernandez M, Ingrid A Holm, Martha Horike-Pyne, Gail P Jarvik, Elizabeth W Karlson, Iftikhar J Kullo, Nita A Limdi, Mary E Maradik, Elizabeth M McNally, Emma Perez Mgc, Cynthia A Prows, Gabriel Q Shaibi, Chunhua Weng, Robb K Rowley, Josh F Peterson, Jodell E Linder, Maya Sabatello\",\"doi\":\"10.1016/j.gim.2025.101457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The complexities of covering study-recommended medical care costs, so individuals are not limited from participating in translational research due to financial reasons, have received little attention.</p><p><strong>Materials and methods: </strong>We explored the deliberations, decisions and challenges faced by the eMERGE Network during implementation of a genomic research project recommending clinical care based on high-risk results defined largely by polygenic risk scores. Two surveys were disseminated to eMERGE sites: to identify preferences about payment for specific care recommendations (Survey-I) and to understand the operational processes of covering medical care costs (Survey-II).</p><p><strong>Results: </strong>Paying for a subset of care recommendations for the funded study duration was identified as the most feasible approach to covering medical care costs for participants who received high-risk genomic results. Each eMERGE site, by necessity, employed diverse approaches to pay for medical care costs.</p><p><strong>Discussion: </strong>eMERGE researchers balanced competing concerns about bias, equity, study design, regulatory compliance, and cost in designing a unified approach to cover some of the recommended medical care costs in the study. Many implementation challenges were encountered.</p><p><strong>Conclusions: </strong>Findings can inform researchers and regulatory bodies about the implications and complications of covering medical care costs in translational research studies focused on prevention.</p>\",\"PeriodicalId\":12717,\"journal\":{\"name\":\"Genetics in Medicine\",\"volume\":\" \",\"pages\":\"101457\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetics in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.gim.2025.101457\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.gim.2025.101457","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Covering medical care costs for participants in the eMERGE Network: Challenges for equity and implementation.
Purpose: The complexities of covering study-recommended medical care costs, so individuals are not limited from participating in translational research due to financial reasons, have received little attention.
Materials and methods: We explored the deliberations, decisions and challenges faced by the eMERGE Network during implementation of a genomic research project recommending clinical care based on high-risk results defined largely by polygenic risk scores. Two surveys were disseminated to eMERGE sites: to identify preferences about payment for specific care recommendations (Survey-I) and to understand the operational processes of covering medical care costs (Survey-II).
Results: Paying for a subset of care recommendations for the funded study duration was identified as the most feasible approach to covering medical care costs for participants who received high-risk genomic results. Each eMERGE site, by necessity, employed diverse approaches to pay for medical care costs.
Discussion: eMERGE researchers balanced competing concerns about bias, equity, study design, regulatory compliance, and cost in designing a unified approach to cover some of the recommended medical care costs in the study. Many implementation challenges were encountered.
Conclusions: Findings can inform researchers and regulatory bodies about the implications and complications of covering medical care costs in translational research studies focused on prevention.
期刊介绍:
Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health.
GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.