Variables for reporting studies on extended - focused assessment with sonography for trauma (E-FAST): An international delphi consensus study.

Federico Moro, Valentina Chiarini, Tommaso Scquizzato, Etrusca Brogi, Marco Tartaglione
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Abstract

Background: The Extended Focused Assessment with Sonography for Trauma (E-FAST) is a diagnostic ultrasound technique used in hospital and pre-hospital settings for patients with torso trauma. While E-FAST is common in emergency departments, its pre-hospital use is less routine. This study aims to establish a set of variables for designing studies on pre-hospital E-FAST through a Delphi consensus process involving international experts.

Methods: A Delphi consensus process was utilized, involving four rounds of e-mail to the experts. The experts proposed variables for each category, assessed them using a 5-point Likert scale, and voted on whether they should be included in the final template.

Results: Out of 14 invited experts, 9 participated in the study. In total, the experts proposed 247 variables. After four rounds, a final list of 32 variables was approved by all experts. These variables related to the system, patient, process, training, imaging, outcome, and others.

Conclusions: This Delphi consensus study presents a list of 32 variables for future research studies concerning the use of E-FAST ultrasound in pre-hospital settings. The results of this study are significant as they provide a standardized set of variables that will facilitate the comparison of data obtained from various studies. This will ultimately contribute to the advancement of pre-hospital E-FAST research and practice.

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创伤超声聚焦评估(E-FAST)研究报告的变量:国际德尔菲共识研究。
背景:创伤超声聚焦评估(E-FAST)是一种超声诊断技术,用于医院和院前环境中的躯干创伤患者。虽然 E-FAST 在急诊科很常见,但院前使用却不太常规。本研究旨在通过有国际专家参与的德尔菲共识程序,为院前 E-FAST 的研究设计建立一套变量:方法:采用德尔菲共识程序,向专家发送四轮电子邮件。专家们为每个类别提出变量,使用 5 点李克特量表对其进行评估,并就是否将其纳入最终模板进行投票:在 14 位受邀专家中,有 9 位参与了研究。专家们总共提出了 247 个变量。经过四轮投票,最终 32 个变量获得了所有专家的认可。这些变量涉及系统、患者、流程、培训、成像、结果等:这项德尔菲共识研究提出了一份 32 个变量的清单,供未来有关在院前环境中使用 E-FAST 超声波的研究使用。这项研究的结果意义重大,因为它提供了一套标准化的变量,有助于比较从不同研究中获得的数据。这将最终促进院前 E-FAST 研究和实践的发展。
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