A maturity model for Clinical Trials Management Ecosystem.

IF 2.1 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Journal of Clinical and Translational Science Pub Date : 2025-01-22 eCollection Date: 2025-01-01 DOI:10.1017/cts.2024.1168
Shruti Sehgal, E Chris Pua, Svetlana Rojevsky, Michael J Becich, Joshua Fehrmann, Boyd M Knosp, Adam Wilcox, Jeffery C Talbert, Catherine K Craven, Justin Starren
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引用次数: 0

Abstract

Introduction: Managing clinical trials is a complex process requiring careful integration of human, technology, compliance, and operations for success. We collaborated with experts to develop a multi-axial Clinical Trials Management Ecosystem (CTME) maturity model (MM) to help institutions identify best practices for CTME capabilities.

Methods: A working group of research informaticists was established. An online session on maturity models was hosted, followed by a review of the candidate domain axes and finalization of the axes. Next, maturity level attributes were defined for min/max levels (level 1 and level 5) for each axis of the CTME MM, followed by the intermediate levels. A REDCap survey comprising the model's statements was then created, and a subset of working group members tested the model by completing it at their respective institutions. The finalized survey was distributed to all working group members.

Results: We developed a CTME MM comprising five maturity levels across 11 axes: study management, regulatory and audit management, financial management, investigational product management, subject identification and recruitment, subject management, data, reporting analytics & dashboard, system integration and interfaces, staff training & personnel management, and organizational maturity and culture. Informaticists at 22 Clinical and Translational Science Award hubs and one other organization self-assessed their institutional CTME maturity. Respondents reported relatively high maturity for study management and investigational product management. The reporting analytics & dashboard axis was the least mature.

Conclusion: The CTME MM provides a framework to research organizations to evaluate their current clinical trials management maturity across 11 axes and identify areas for future growth.

临床试验管理生态系统的成熟度模型。
临床试验管理是一个复杂的过程,需要仔细整合人力、技术、合规和操作才能成功。我们与专家合作开发了一个多轴临床试验管理生态系统(CTME)成熟度模型(MM),以帮助机构确定CTME能力的最佳实践。方法:成立研究信息学工作小组。主持了一个关于成熟度模型的在线会议,随后是对候选领域轴的回顾和轴的最终确定。接下来,为CTME MM的每个轴定义最小/最大级别(级别1和级别5)的成熟度级别属性,然后是中间级别。然后创建了一个包含模型陈述的REDCap调查,工作小组成员的子集通过在各自的机构完成该模型来测试该模型。最后定稿的调查已分发给所有工作组成员。结果:我们开发了一个CTME MM,包括五个成熟度级别,横跨11个轴:研究管理、监管和审计管理、财务管理、研究产品管理、受试者识别和招聘、受试者管理、数据、报告分析和仪表板、系统集成和接口、员工培训和人事管理、组织成熟度和文化。22个临床和转化科学奖中心和另一个组织的信息学家自我评估了他们的机构CTME成熟度。受访者报告了相对较高的研究管理和研究产品管理成熟度。报告分析和仪表板轴是最不成熟的。结论:CTME MM为研究机构提供了一个框架,可以跨11个轴评估其当前临床试验管理成熟度,并确定未来发展的领域。
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
Journal of Clinical and Translational Science
Journal of Clinical and Translational Science MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.80
自引率
26.90%
发文量
437
审稿时长
18 weeks
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