Development of a core minimum data set to advance real-world evidence generation for uterine fibroids treatment technologies.

IF 2.1 Q2 SURGERY
BMJ Surgery Interventions Health Technologies Pub Date : 2022-11-11 eCollection Date: 2022-01-01 DOI:10.1136/bmjsit-2021-000094
Courtney E Baird, Evan Myers, Vanessa Jacoby, Laura Elisabeth Gressler, Sateria Venable, Allison O'Neill, Veronica Price, Angie Lee, Jason Roberts, Sharon Andrews, Art Sedrakyan, Danica Marinac-Dabic
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Abstract

Objectives: The accumulation of data through a prospective, multicenter coordinated registry network (CRN) is a robust and cost-effective way to gather real-world evidence on the performance of uterine fibroids treatment technologies for device-based and intervention-based studies. To develop the CRN, a group of uterine fibroids experts, consisting of representatives from professional societies, the US Food and Drug Administration, academia, industry, and the patient community, was convened to discuss the role and feasibility of the CRN and to identify the core data elements needed to assess uterine fibroid treatment technologies.

Design: A Delphi method approach was employed to achieve consensus on a core minimum data set for the CRN. A series of surveys were sent to the panel and answered by each expert anonymously and individually. Results from the surveys were collected, collated, and analyzed by a study design team from Weill Cornell Medicine. Questions for the next round were based on the analysis process and discussed with group members via a conference call. This process was repeated twice over a 3-month time period until consensus was achieved.

Results: Twenty-nine experts participated in the Delphi surveys, which began with an initial list of 200 data elements. The working group reached final consensus on 97 data elements capturing patient medical history, imaging data, procedure-related data, post-procedure data, and long-term follow-up data.

Conclusions: The CRN successfully convened an expert panel on uterine fibroids treatment technologies and used the Delphi method to produce a consensus-based core set of data elements. These identified data elements include important outcomes related to efficacy and safety and thus, influence patient, provider, and regulatory decision-making about treatments for uterine fibroids. Finally, the core data elements provide the foundation of the infrastructure needed for the CRN that will allow for the comparative study of uterine fibroid treatment devices and technologies.

Abstract Image

开发最低限度核心数据集,推动子宫肌瘤治疗技术的实际证据生成。
目标:通过前瞻性多中心协调登记网络(CRN)积累数据,是为基于设备和干预的研究收集子宫肌瘤治疗技术性能真实证据的一种稳健而又经济有效的方法。为开发 CRN,我们召集了一批子宫肌瘤专家,包括来自专业协会、美国食品药品管理局、学术界、工业界和患者群体的代表,讨论 CRN 的作用和可行性,并确定评估子宫肌瘤治疗技术所需的核心数据元素:设计:采用德尔菲法就 CRN 的最低核心数据集达成共识。向专家小组发送了一系列调查问卷,由每位专家匿名单独回答。威尔康奈尔医学院的研究设计团队对调查结果进行了收集、整理和分析。下一轮的问题是根据分析过程提出的,并通过电话会议与小组成员讨论。这一过程在 3 个月内重复两次,直到达成共识:29 位专家参与了德尔菲调查,调查从最初的 200 个数据元素列表开始。工作组最终就 97 个数据元素达成共识,其中包括患者病史、影像数据、手术相关数据、术后数据和长期随访数据:CRN 成功召集了子宫肌瘤治疗技术专家小组,并使用德尔菲法生成了一套基于共识的核心数据元素。这些已确定的数据元素包括与疗效和安全性相关的重要结果,从而影响患者、提供者和监管机构对子宫肌瘤治疗方法的决策。最后,核心数据元素为 CRN 所需的基础设施奠定了基础,从而可以对子宫肌瘤治疗设备和技术进行比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
22
审稿时长
17 weeks
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