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EsPRit:在快速发展的研究领域中,为长期医疗数据注册建立伦理委员会提案——一种有前瞻性的最佳实践方法。

EsPRit: ethics committee proposals for Long Term Medical Data Registries in rapidly evolving research fields - a future-proof best practice approach.

机构信息

eHealth Research and Innovation Unit, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

Institute of Biomedical Informatics, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

出版信息

BMC Med Inform Decis Mak. 2017 Oct 18;17(1):148. doi: 10.1186/s12911-017-0539-9.

DOI:10.1186/s12911-017-0539-9
PMID:29047394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5648439/
Abstract

BACKGROUND

Long-term data collection is a challenging task in the domain of medical research. Many effects in medicine require long periods of time to become traceable e.g. the development of secondary malignancies based on a given radiotherapeutic treatment of the primary disease. Nevertheless, long-term studies often suffer from an initial lack of available information, thus disallowing a standardized approach for their approval by the ethics committee. This is due to several factors, such as the lack of existing case report forms or an explorative research approach in which data elements may change over time. In connection with current medical research and the ongoing digitalization in medicine, Long Term Medical Data Registries (MDR-LT) have become an important means of collecting and analyzing study data. As with any clinical study, ethical aspects must be taken into account when setting up such registries. This work addresses the problem of creating a valid, high-quality ethics committee proposal for medical registries by suggesting groups of tasks (building blocks), information sources and appropriate methods for collecting and analyzing the information, as well as a process model to compile an ethics committee proposal (EsPRit).

METHODS

To derive the building blocks and associated methods software and requirements engineering approaches were utilized. Furthermore, a process-oriented approach was chosen, as information required in the creating process of ethics committee proposals remain unknown in the beginning of planning an MDR-LT. Here, we derived the needed steps from medical product certification. This was done as the medical product certification itself also communicates a process-oriented approach rather than merely focusing on content. A proposal was created for validation and inspection of applicability by using the proposed building blocks. The proposed best practice was tested and refined within SEMPER (Secondary Malignoma - Prospective Evaluation of the Radiotherapeutics dose distribution as the cause for induction) as a case study.

RESULTS

The proposed building blocks cover the topics of "Context Analysis", "Requirements Analysis", "Requirements Validation", "Electronic Case Report (eCRF) Design" and "Overall Concept Creation". Additional methods are attached with regards to each topic. The goals of each block can be met by applying those methods. The proposed methods are proven methods as applied in e.g. existing Medical Data Registry projects, as well as in software or requirements engineering.

CONCLUSION

Several building blocks and attached methods could be identified in the creation of a generic ethics committee proposal. Hence, an Ethics Committee can make informed decisions on the suggested study via said blocks, using the suggested methods such as "Defining Clinical Questions" within the Context Analysis. The study creators have to confirm that they adhere to the proposed procedure within the ethic proposal statement. Additional existing Medical Data Registry projects can be compared to EsPRit for conformity to the proposed procedure. This allows for the identification of gaps, which can lead to amendments requested by the ethics committee.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d1c/5648439/a6e115780458/12911_2017_539_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d1c/5648439/a6e115780458/12911_2017_539_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d1c/5648439/a6e115780458/12911_2017_539_Fig1_HTML.jpg
摘要

背景

长期数据收集是医学研究领域的一项具有挑战性的任务。医学中的许多影响需要很长时间才能显现出来,例如基于原发性疾病放射治疗的继发性恶性肿瘤的发展。然而,长期研究往往最初缺乏可用信息,因此不允许伦理委员会对其进行标准化批准。这是由于多种因素造成的,例如缺乏现有的病例报告表或探索性研究方法,其中数据元素可能随时间而变化。结合当前的医学研究和医学领域的数字化发展,长期医疗数据登记(MDR-LT)已成为收集和分析研究数据的重要手段。与任何临床研究一样,在建立此类登记册时必须考虑到伦理方面的问题。这项工作通过提出任务组(构建块)、信息源以及收集和分析信息的适当方法,以及编制伦理委员会提案的过程模型(EsPRit),解决了为医疗登记册创建有效、高质量的伦理委员会提案的问题。

方法

利用软件和需求工程方法推导出构建块和相关方法。此外,选择了面向过程的方法,因为在规划 MDR-LT 时,伦理委员会提案创建过程中所需的信息在开始时并不清楚。在这里,我们从医疗产品认证中推导出所需的步骤。这样做是因为医疗产品认证本身也传达了一种面向过程的方法,而不仅仅是关注内容。通过使用提议的构建块,为验证和检查适用性创建了一个提案。在 SEMPER(继发性恶性肿瘤-放射治疗剂量分布作为诱导原因的前瞻性评估)中作为案例研究,对建议的最佳实践进行了测试和改进。

结果

所提出的构建块涵盖了“上下文分析”、“需求分析”、“需求验证”、“电子病例报告(eCRF)设计”和“总体概念创建”等主题。针对每个主题都附有其他方法。通过应用这些方法,可以实现每个块的目标。所提出的方法是已应用于现有医疗数据登记项目的成熟方法,以及软件或需求工程方法。

结论

在创建通用伦理委员会提案时,可以确定几个构建块和相关方法。因此,伦理委员会可以通过所建议的方法(例如,在上下文分析中“定义临床问题”)使用这些构建块,就建议的研究做出明智的决策。研究创建者必须在伦理提案声明中确认他们遵守所建议的程序。可以将其他现有的医疗数据登记项目与 EsPRit 进行比较,以确保符合所建议的程序。这允许识别差距,从而导致伦理委员会要求的修订。

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本文引用的文献

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SPIRIT: Systematic Planning of Intelligent Reuse of Integrated Clinical Routine Data. A Conceptual Best-practice Framework and Procedure Model.SPIRIT:综合临床常规数据智能再利用的系统规划。一个概念性的最佳实践框架和程序模型。
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