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The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.
Genetics in Medicine ( IF 8.8 ) Pub Date : 2020-06-24 , DOI: 10.1038/s41436-020-0825-2
Nick Dragojlovic 1 , Kennedy Borle 1 , Nicola Kopac 1 , Ursula Ellis 2 , Patricia Birch 3, 4 , Shelin Adam 3, 4 , Jan M Friedman 3, 4 , Amy Nisselle 5, 6, 7 , , Alison M Elliott 3, 4, 8 , Larry D Lynd 1, 9
Affiliation  

As genetics becomes increasingly integrated into all areas of health care and the use of complex genetic tests continues to grow, the clinical genetics workforce will likely face greatly increased demand for its services. To inform strategic planning by health-care systems to prepare to meet this future demand, we performed a scoping review of the genetics workforce in high-income countries, summarizing all available evidence on its composition and capacity published between 2010 and 2019. Five databases (MEDLINE, Embase, PAIS, CINAHL, and Web of Science) and gray literature sources were searched, resulting in 162 unique studies being included in the review. The evidence presented includes the composition and size of the workforce, the scope of practice for genetics and nongenetics specialists, the time required to perform genetics-related tasks, case loads of genetics providers, and opportunities to increase efficiency and capacity. Our results indicate that there is currently a shortage of genetics providers and that there is a lack of consensus about the appropriate boundaries between the scopes of practice for genetics and nongenetics providers. Moreover, the results point to strategies that may be used to increase productivity and efficiency, including alternative service delivery models, streamlining processes, and the automation of tasks.



中文翻译:

高收入国家临床遗传学劳动力的组成和能力:范围审查。

随着遗传学越来越多地融入医疗保健的各个领域,复杂基因检测的使用不断增长,临床遗传学劳动力可能面临对其服务的需求大大增加。为了为医疗保健系统的战略规划提供信息以准备满足这一未来需求,我们对高收入国家的遗传学劳动力进行了范围界定审查,总结了 2010 年至 2019 年间发表的关于其组成和能力的所有可用证据。五个数据库(检索了 MEDLINE、Embase、PAIS、CINAHL 和 Web of Science)和灰色文献资源,最终纳入了 162 项独特的研究。提供的证据包括劳动力的组成和规模、遗传学和非遗传学专家的实践范围、执行遗传学相关任务所需的时间、遗传学提供者的病例数量,以及提高效率和能力的机会。我们的结果表明,目前缺乏遗传学提供者,并且对于遗传学和非遗传学提供者的实践范围之间的适当界限缺乏共识。此外,结果指出了可用于提高生产力和效率的策略,包括替代服务交付模式、简化流程和任务自动化。

更新日期:2020-06-24
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