在临床试验中使用的数字数据收集工具的选择指导框架:系统审查协议
Bavatharani Ananthesayanan1, Kayode Philip Fadahunsi2, Huanhuan Xiong1
1Department of Business Information Systems, University College Cork, College Road, Cork, T12K8AF, Ireland, 353 (021) 490 3000.
JMIR research protocols
|January 22, 2026
概括
选择临床试验的数字数据收集工具对于可靠的结果至关重要. 这一系统性审查制定了一个基于证据的框架,以指导决策者选择适合临床研究的数字工具.
科学领域:
- 临床研究方法论临床研究方法论
- 医疗信息学 医疗信息学
- 临床试验中的数据管理
背景情况:
- 数据收集对于临床试验分析至关重要,影响干预评估.
- 选择合适的数字数据收集工具是具有挑战性的,因为许多潜在的陷.
- 需要一个基于证据的框架来指导临床试验数字工具的选择.
研究的目的:
- 为在临床试验中选择数字数据收集工具制定基于证据的框架.
- 支持决策者选择适合临床研究目的的工具.
主要方法:
- 对文献数据库和灰色文献进行系统审查.
- 包含与数字数据收集工具选择相关的框架的研究.
- 对提取的数据进行主题综合,以开发框架.
主要成果:
- 搜索了9151项研究,在重复删除后减少到43333项.
- 发现缺乏建立的框架来选择数字数据收集工具.
- 在2025年5月开始审查,预计将于2025年12月完成.
结论:
- 在临床试验中选择数字数据收集工具的既定框架很少.
- 开发的框架将帮助技术决策者选择合适的工具.
- 确保工具满足特定的临床研究需求至关重要.
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