超度量:德尔菲衍生框架评估超声能力。

IF 2.4 4区 医学 Q2 ACOUSTICS
Steve Reid, Alberto Goffi, Ean Tsou, Emanuele Pivetta, Suean Pascoe, Jessica Solis-McCarthy, Mark Foster, Chris Gelabert, Mike Smith, Colin Bell, Erica Clarke Whalen, Hannah Latta, Janeve Desy, Simon Hayward, Hayley Israel, Andrew Leamon, Marcus Peck, Adrian Wong, Tanping Wong, Chris Yap, Emma M L Chung
{"title":"超度量:德尔菲衍生框架评估超声能力。","authors":"Steve Reid, Alberto Goffi, Ean Tsou, Emanuele Pivetta, Suean Pascoe, Jessica Solis-McCarthy, Mark Foster, Chris Gelabert, Mike Smith, Colin Bell, Erica Clarke Whalen, Hannah Latta, Janeve Desy, Simon Hayward, Hayley Israel, Andrew Leamon, Marcus Peck, Adrian Wong, Tanping Wong, Chris Yap, Emma M L Chung","doi":"10.1002/jum.70074","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Ultrasound competency is critical in modern healthcare, yet no standardized framework currently supports ultrasound skill monitoring across diverse clinical settings and user types. Existing frameworks often lack generalizability, overemphasize exam counts, and fail to assess key skills such as interpretation, limiting ultrasound's safe and effective integration into clinical practice. The objective of this study is to develop a consensus-based, universal framework for monitoring ultrasound competency across clinical applications and disciplines.</p><p><strong>Methods: </strong>A modified Delphi process was conducted with an international panel of Point-of-Care ultrasound experts. Panelists independently evaluated framework elements categorized by competency domains (experience, skills, autonomy), skill domains (indication, acquisition, interpretation, clinical integration), metrics (eg, exam counts, entrustability, interpretation accuracy, etc.), answer sets (score-based inputs used by assessors), and score criteria (requirements for each score). Consensus thresholds were defined as strong consensus at >84%, and weak consensus at 68-84%. Two Delphi rounds were completed.</p><p><strong>Results: </strong>Nineteen experts participated across 2 Delphi rounds. Strong consensus was reached to include 3 competency domains (experience, skills, autonomy) and 4 skill domains (indication, acquisition, interpretation, and clinical integration). Optional components, including the use of acquisition skill trees and varied answer set granularity, were favored by some participants to allow ultrasound programs to tailor the framework to specific examinations, assessment scenarios, and job roles.</p><p><strong>Conclusion: </strong>The resulting modular framework provides a flexible, consensus-based approach to ultrasound competency assessment, enabling cross-program comparisons and evaluation of training methods. Validation across diverse settings is needed to support its use in global competency standards and ultrasound education expansion.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ULTRA-Metrics: Delphi-Derived Framework for Assessing Ultrasound Competency.\",\"authors\":\"Steve Reid, Alberto Goffi, Ean Tsou, Emanuele Pivetta, Suean Pascoe, Jessica Solis-McCarthy, Mark Foster, Chris Gelabert, Mike Smith, Colin Bell, Erica Clarke Whalen, Hannah Latta, Janeve Desy, Simon Hayward, Hayley Israel, Andrew Leamon, Marcus Peck, Adrian Wong, Tanping Wong, Chris Yap, Emma M L Chung\",\"doi\":\"10.1002/jum.70074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Ultrasound competency is critical in modern healthcare, yet no standardized framework currently supports ultrasound skill monitoring across diverse clinical settings and user types. Existing frameworks often lack generalizability, overemphasize exam counts, and fail to assess key skills such as interpretation, limiting ultrasound's safe and effective integration into clinical practice. The objective of this study is to develop a consensus-based, universal framework for monitoring ultrasound competency across clinical applications and disciplines.</p><p><strong>Methods: </strong>A modified Delphi process was conducted with an international panel of Point-of-Care ultrasound experts. Panelists independently evaluated framework elements categorized by competency domains (experience, skills, autonomy), skill domains (indication, acquisition, interpretation, clinical integration), metrics (eg, exam counts, entrustability, interpretation accuracy, etc.), answer sets (score-based inputs used by assessors), and score criteria (requirements for each score). Consensus thresholds were defined as strong consensus at >84%, and weak consensus at 68-84%. Two Delphi rounds were completed.</p><p><strong>Results: </strong>Nineteen experts participated across 2 Delphi rounds. Strong consensus was reached to include 3 competency domains (experience, skills, autonomy) and 4 skill domains (indication, acquisition, interpretation, and clinical integration). Optional components, including the use of acquisition skill trees and varied answer set granularity, were favored by some participants to allow ultrasound programs to tailor the framework to specific examinations, assessment scenarios, and job roles.</p><p><strong>Conclusion: </strong>The resulting modular framework provides a flexible, consensus-based approach to ultrasound competency assessment, enabling cross-program comparisons and evaluation of training methods. Validation across diverse settings is needed to support its use in global competency standards and ultrasound education expansion.</p>\",\"PeriodicalId\":17563,\"journal\":{\"name\":\"Journal of Ultrasound in Medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ultrasound in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/jum.70074\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ACOUSTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ultrasound in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jum.70074","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

摘要

目的:超声能力在现代医疗保健中至关重要,但目前没有标准化的框架支持跨不同临床环境和用户类型的超声技能监测。现有的框架往往缺乏通用性,过分强调检查计数,未能评估关键技能,如解释,限制了超声安全有效地融入临床实践。本研究的目的是建立一个基于共识的、通用的框架,用于监测临床应用和学科的超声能力。方法:采用一种改进的德尔菲法,由一组医疗点超声专家组成的国际小组进行。小组成员独立评估了按能力领域(经验、技能、自主性)、技能领域(指示、获得、解释、临床整合)、指标(例如,考试次数、可信赖性、解释准确性等)、答案集(评估人员使用的基于分数的输入)和得分标准(每个分数的要求)分类的框架元素。共识阈值定义为强共识为bb0 -84%,弱共识为68-84%。完成了两轮德尔菲测试。结果:19位专家参与了2轮德尔菲。达成了强烈共识,包括3个能力领域(经验、技能、自主)和4个技能领域(指示、获得、解释和临床整合)。可选组件,包括使用获取技能树和不同的答案集粒度,受到一些参与者的青睐,允许超声程序定制框架,以适应特定的检查,评估场景和工作角色。结论:由此产生的模块化框架为超声能力评估提供了一种灵活的、基于共识的方法,使跨项目比较和评估培训方法成为可能。需要在不同的环境中进行验证,以支持其在全球能力标准和超声教育扩展中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ULTRA-Metrics: Delphi-Derived Framework for Assessing Ultrasound Competency.

Objectives: Ultrasound competency is critical in modern healthcare, yet no standardized framework currently supports ultrasound skill monitoring across diverse clinical settings and user types. Existing frameworks often lack generalizability, overemphasize exam counts, and fail to assess key skills such as interpretation, limiting ultrasound's safe and effective integration into clinical practice. The objective of this study is to develop a consensus-based, universal framework for monitoring ultrasound competency across clinical applications and disciplines.

Methods: A modified Delphi process was conducted with an international panel of Point-of-Care ultrasound experts. Panelists independently evaluated framework elements categorized by competency domains (experience, skills, autonomy), skill domains (indication, acquisition, interpretation, clinical integration), metrics (eg, exam counts, entrustability, interpretation accuracy, etc.), answer sets (score-based inputs used by assessors), and score criteria (requirements for each score). Consensus thresholds were defined as strong consensus at >84%, and weak consensus at 68-84%. Two Delphi rounds were completed.

Results: Nineteen experts participated across 2 Delphi rounds. Strong consensus was reached to include 3 competency domains (experience, skills, autonomy) and 4 skill domains (indication, acquisition, interpretation, and clinical integration). Optional components, including the use of acquisition skill trees and varied answer set granularity, were favored by some participants to allow ultrasound programs to tailor the framework to specific examinations, assessment scenarios, and job roles.

Conclusion: The resulting modular framework provides a flexible, consensus-based approach to ultrasound competency assessment, enabling cross-program comparisons and evaluation of training methods. Validation across diverse settings is needed to support its use in global competency standards and ultrasound education expansion.

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
CiteScore
5.10
自引率
4.30%
发文量
205
审稿时长
1.5 months
期刊介绍: The Journal of Ultrasound in Medicine (JUM) is dedicated to the rapid, accurate publication of original articles dealing with all aspects of medical ultrasound, particularly its direct application to patient care but also relevant basic science, advances in instrumentation, and biological effects. The journal is an official publication of the American Institute of Ultrasound in Medicine and publishes articles in a variety of categories, including Original Research papers, Review Articles, Pictorial Essays, Technical Innovations, Case Series, Letters to the Editor, and more, from an international bevy of countries in a continual effort to showcase and promote advances in the ultrasound community. Represented through these efforts are a wide variety of disciplines of ultrasound, including, but not limited to: -Basic Science- Breast Ultrasound- Contrast-Enhanced Ultrasound- Dermatology- Echocardiography- Elastography- Emergency Medicine- Fetal Echocardiography- Gastrointestinal Ultrasound- General and Abdominal Ultrasound- Genitourinary Ultrasound- Gynecologic Ultrasound- Head and Neck Ultrasound- High Frequency Clinical and Preclinical Imaging- Interventional-Intraoperative Ultrasound- Musculoskeletal Ultrasound- Neurosonology- Obstetric Ultrasound- Ophthalmologic Ultrasound- Pediatric Ultrasound- Point-of-Care Ultrasound- Public Policy- Superficial Structures- Therapeutic Ultrasound- Ultrasound Education- Ultrasound in Global Health- Urologic Ultrasound- Vascular Ultrasound
×
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:604180095
Book学术官方微信