Courtney E Baird, Bilal Chughtai, Catherine S Bradley, Kathleen Kobashi, Mary Jung, Art Sedrakyan, Sharon Andrews, Ann Ferriter, Terri Cornelison, Danica Marinac-Dabic
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To develop the CRN, a group of POP experts consisting of representatives from professional societies, the 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 important to assess POP technologies.</p><p><strong>Design: </strong>A Delphi method approach was employed to achieve consensus on a core minimum dataset 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 the study design team from Weill Cornell Medicine. Questions for the next round were based on the analysis process and discussed with group members via conference call. This process was repeated twice over a 6-month time period during which consensus was achieved.</p><p><strong>Results: </strong>Twenty-one experts participated in the effort and proposed 120 data elements. Participation rates in the first and second round of the Delphi survey were 95.2% and 71.4%, respectively. The working group reached final consensus among responders on 90 data elements capturing relevant general medical and surgical history, procedure and discharge, short-term and long-term follow-up, device factors, and surgery and surgeon factors.</p><p><strong>Conclusions: </strong>The CRN successfully developed a set of core data elements to support the study of POP technologies through convening an expert panel on POP technologies and using the Delphi method. These standardized data elements have the potential to influence patient and provider decisions about treatments and include important outcomes related to efficacy and safety.</p>","PeriodicalId":33349,"journal":{"name":"BMJ Surgery Interventions Health Technologies","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c7/1e/bmjsit-2020-000076.PMC9660621.pdf","citationCount":"0","resultStr":"{\"title\":\"Development of a coordinated registry network for pelvic organ prolapse technologies.\",\"authors\":\"Courtney E Baird, Bilal Chughtai, Catherine S Bradley, Kathleen Kobashi, Mary Jung, Art Sedrakyan, Sharon Andrews, Ann Ferriter, Terri Cornelison, Danica Marinac-Dabic\",\"doi\":\"10.1136/bmjsit-2020-000076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The accumulation of data through a prospective, multicenter Coordinated Registry Network (CRN) could be a robust and cost-effective way to gather real-world evidence on the performance of pelvic organ prolapse (POP) technologies for device-based and intervention-based studies. 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引用次数: 0
摘要
目标:通过前瞻性多中心协调注册网络(CRN)积累数据,可以成为一种稳健且具有成本效益的方法,为基于设备和干预的研究收集有关盆腔器官脱垂(POP)技术性能的真实证据。为了开发 CRN,我们召集了一个由专业协会、食品与药物管理局、学术界、工业界和患者社区代表组成的 POP 专家小组,讨论 CRN 的作用和可行性,并确定对评估 POP 技术非常重要的核心数据元素:设计:采用德尔菲法就 CRN 的最低核心数据集达成共识。我们向专家小组发送了一系列调查问卷,每位专家都匿名并单独作答。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 6 个月的时间内重复了两次,并在此期间达成了共识:结果:21 位专家参与了这项工作,并提出了 120 个数据元素。第一轮和第二轮德尔菲调查的参与率分别为 95.2% 和 71.4%。工作组在90个数据元素上达成了最终共识,这些数据元素包括相关的一般病史和手术史、手术过程和出院情况、短期和长期随访、设备因素以及手术和外科医生因素:通过召集 POP 技术专家小组并使用德尔菲法,CRN 成功开发了一套支持 POP 技术研究的核心数据元素。这些标准化的数据元素有可能影响患者和医疗服务提供者对治疗方法的决策,并包括与疗效和安全性相关的重要结果。
Development of a coordinated registry network for pelvic organ prolapse technologies.
Objectives: The accumulation of data through a prospective, multicenter Coordinated Registry Network (CRN) could be a robust and cost-effective way to gather real-world evidence on the performance of pelvic organ prolapse (POP) technologies for device-based and intervention-based studies. To develop the CRN, a group of POP experts consisting of representatives from professional societies, the 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 important to assess POP technologies.
Design: A Delphi method approach was employed to achieve consensus on a core minimum dataset 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 the study design team from Weill Cornell Medicine. Questions for the next round were based on the analysis process and discussed with group members via conference call. This process was repeated twice over a 6-month time period during which consensus was achieved.
Results: Twenty-one experts participated in the effort and proposed 120 data elements. Participation rates in the first and second round of the Delphi survey were 95.2% and 71.4%, respectively. The working group reached final consensus among responders on 90 data elements capturing relevant general medical and surgical history, procedure and discharge, short-term and long-term follow-up, device factors, and surgery and surgeon factors.
Conclusions: The CRN successfully developed a set of core data elements to support the study of POP technologies through convening an expert panel on POP technologies and using the Delphi method. These standardized data elements have the potential to influence patient and provider decisions about treatments and include important outcomes related to efficacy and safety.