医生发现一个互动工具显示结构化的证据摘要多次比较的理解和有用:一个定性用户测试研究研究.
Per Olav Løvsletten1, Birk Stokke Hunskaar2, Anja Fog Heen3
1Department of Medicine, Lovisenberg Diaconal Hospital, Oslo, Norway; Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Journal of clinical epidemiology
|May 29, 2024
概括
医生可以使用MATCH-IT工具来理解复杂的网络元分析 (NMA) 证据用于临床决策. 代用户测试改进了该工具,提高了证据的解释和在实践中的应用.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 基于证据的医学基于证据的医学.
背景情况:
- 网络元分析 (NMA) 提供了全面的证据摘要,但对于临床医生来说,解释可能具有挑战性.
- 需要数字工具来弥合复杂的证据综合和临床实践之间的差距.
研究的目的:
- 评估和增强"使替代治疗选择直观和值得信赖" (MATCH-IT) 工具,供医生使用.
- 提高医生在临床决策中解释和应用NMA证据的能力.
主要方法:
- 以用户为中心的定性设计和代开发.
- 用户测试与挪威,比利时和加拿大的26名医生.
- 通过指导内容分析分析的大声思考会议和半结构面试.
主要成果:
- 医生发现MATCH-IT易于解释,并欣赏其证据概述,图形图和实际问题信息.
- 确定需要改进的领域包括导航,教程清晰度和关键术语的定义.
- 更新重点关注用户界面,定义,常见问题,颜色编码和过,以减少信息过载.
结论:
- MATCH-IT展示了概念证明,以帮助医生理解NMA证据.
- 关键特征包括证据概述,效果可视化和实际治疗负担信息.
- 挑战包括熟悉GRADE概念,时间限制和护理点的可访问性.
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