Michael P Mackley, Julie Richer, Andrea Guerin, Oana Caluseriu, Linlea Armstrong, Katherine A Blood, Francois Bernier, Christie Boswell-Patterson, Marisa Chard, Gregory Costain, David Dyment, Alison Eaton, Hanna Faghfoury, Patrick Frosk, Meredith K Gillespie, Elaine S Goh, Robin Z Hayeems, Bita Hashemi, A Micheil Innes, Molly Jackson, Anne-Marie Laberge, Jacqueline Limoges, Christian Marshall, Hugh McMillan, Tanya N Nelson, Matthew Osmond, Jillian Parboosingh, Lynette Penney, Bradley Prince, Sarah L Sawyer, Victoria Mok Siu, Mary Ann Thomas, Lesley Turner, Noémie Villeneuve-Cloutier, Taila Hartley, Kym M Boycott
{"title":"临床基因检测的主流化:一个概念框架。","authors":"Michael P Mackley, Julie Richer, Andrea Guerin, Oana Caluseriu, Linlea Armstrong, Katherine A Blood, Francois Bernier, Christie Boswell-Patterson, Marisa Chard, Gregory Costain, David Dyment, Alison Eaton, Hanna Faghfoury, Patrick Frosk, Meredith K Gillespie, Elaine S Goh, Robin Z Hayeems, Bita Hashemi, A Micheil Innes, Molly Jackson, Anne-Marie Laberge, Jacqueline Limoges, Christian Marshall, Hugh McMillan, Tanya N Nelson, Matthew Osmond, Jillian Parboosingh, Lynette Penney, Bradley Prince, Sarah L Sawyer, Victoria Mok Siu, Mary Ann Thomas, Lesley Turner, Noémie Villeneuve-Cloutier, Taila Hartley, Kym M Boycott","doi":"10.1016/j.gim.2025.101465","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Demand for genetic testing is increasing across medicine while the genetics workforce remains stable. In response, mainstreaming models, where non-geneticist clinicians are involved in the genetic testing pathway, are being introduced. As a standardized approach would facilitate evaluation and optimal patient care, a unified framework is warranted.</p><p><strong>Methods: </strong>Through a focus group with clinical genetics experts, a conceptual framework for the mainstreaming of clinical genetic testing is proposed. Through a consensus process, experts elucidated the steps in the diagnostic care pathway and defined a set of variables that influence which mainstreaming model is best suited to specific patient care scenarios.</p><p><strong>Results: </strong>35 individuals representing 20 distinct clinical genetics services and all Canadian provinces participated in the development of the framework. The framework describes four generalizable mainstreaming models of care, each with varying levels of involvement of the clinical genetics service in the diagnostic care pathway.</p><p><strong>Conclusion: </strong>This framework will help guide clinical teams in the design and evaluation of mainstreaming efforts. It is critical that these programs are evaluated and shared in a standardized way so that we can implement strategies that allow optimal utilization of genetics resources and improve patient care.</p>","PeriodicalId":12717,"journal":{"name":"Genetics in Medicine","volume":" ","pages":"101465"},"PeriodicalIF":6.6000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mainstreaming of clinical genetic testing: a conceptual framework.\",\"authors\":\"Michael P Mackley, Julie Richer, Andrea Guerin, Oana Caluseriu, Linlea Armstrong, Katherine A Blood, Francois Bernier, Christie Boswell-Patterson, Marisa Chard, Gregory Costain, David Dyment, Alison Eaton, Hanna Faghfoury, Patrick Frosk, Meredith K Gillespie, Elaine S Goh, Robin Z Hayeems, Bita Hashemi, A Micheil Innes, Molly Jackson, Anne-Marie Laberge, Jacqueline Limoges, Christian Marshall, Hugh McMillan, Tanya N Nelson, Matthew Osmond, Jillian Parboosingh, Lynette Penney, Bradley Prince, Sarah L Sawyer, Victoria Mok Siu, Mary Ann Thomas, Lesley Turner, Noémie Villeneuve-Cloutier, Taila Hartley, Kym M Boycott\",\"doi\":\"10.1016/j.gim.2025.101465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Demand for genetic testing is increasing across medicine while the genetics workforce remains stable. In response, mainstreaming models, where non-geneticist clinicians are involved in the genetic testing pathway, are being introduced. As a standardized approach would facilitate evaluation and optimal patient care, a unified framework is warranted.</p><p><strong>Methods: </strong>Through a focus group with clinical genetics experts, a conceptual framework for the mainstreaming of clinical genetic testing is proposed. Through a consensus process, experts elucidated the steps in the diagnostic care pathway and defined a set of variables that influence which mainstreaming model is best suited to specific patient care scenarios.</p><p><strong>Results: </strong>35 individuals representing 20 distinct clinical genetics services and all Canadian provinces participated in the development of the framework. The framework describes four generalizable mainstreaming models of care, each with varying levels of involvement of the clinical genetics service in the diagnostic care pathway.</p><p><strong>Conclusion: </strong>This framework will help guide clinical teams in the design and evaluation of mainstreaming efforts. It is critical that these programs are evaluated and shared in a standardized way so that we can implement strategies that allow optimal utilization of genetics resources and improve patient care.</p>\",\"PeriodicalId\":12717,\"journal\":{\"name\":\"Genetics in Medicine\",\"volume\":\" \",\"pages\":\"101465\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2025-05-22\",\"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.2025.101465\",\"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.2025.101465","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Mainstreaming of clinical genetic testing: a conceptual framework.
Purpose: Demand for genetic testing is increasing across medicine while the genetics workforce remains stable. In response, mainstreaming models, where non-geneticist clinicians are involved in the genetic testing pathway, are being introduced. As a standardized approach would facilitate evaluation and optimal patient care, a unified framework is warranted.
Methods: Through a focus group with clinical genetics experts, a conceptual framework for the mainstreaming of clinical genetic testing is proposed. Through a consensus process, experts elucidated the steps in the diagnostic care pathway and defined a set of variables that influence which mainstreaming model is best suited to specific patient care scenarios.
Results: 35 individuals representing 20 distinct clinical genetics services and all Canadian provinces participated in the development of the framework. The framework describes four generalizable mainstreaming models of care, each with varying levels of involvement of the clinical genetics service in the diagnostic care pathway.
Conclusion: This framework will help guide clinical teams in the design and evaluation of mainstreaming efforts. It is critical that these programs are evaluated and shared in a standardized way so that we can implement strategies that allow optimal utilization of genetics resources and improve patient care.
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.