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临床医生对新型图形风险预测工具的反反抗发作药物停用:一种定性研究

Samuel W Terman¹, Navya Kalia², Max Kuster³

¹Department of Neurology, University of Michigan, Ann Arbor.

Neurology. Clinical practice

|October 15, 2025

概括

临床医生对发作风险预测工具有不同的看法. 图形显示可能比数值输出提供优势,用于共享治疗决策.

科学领域:

神经学神经学
医疗信息学医疗信息学
决策科学决策科学决策科学

背景情况:

在释后停止服用抗发作药物 (ASM) 是一个挑战.
风险预测工具可以帮助ASM停止的共同决策.
为了开发有效的工具,最终用户利益相关者参与至关重要.

研究的目的:

检查临床医生对新的,基于图形的风险预测工具的看法.
收集有关发作风险沟通的首选格式的反.

主要方法:

使用6个重点小组与25名神经病学家 (病学家和一般神经病学家) 进行定性研究.
来自不同地理环境的有目的抽样.
关于建议工具的反的逐字转录和演/归纳分析.

主要成果:

临床医生对风险预测输出的偏好不同:一些人喜欢数字计算器,而另一些人喜欢图形显示器.
建议用于临床医生和患者的图形格式,如累积发病率函数和图形图.
建议的替代格式包括"路灯"显示器和决策图表;置信区间被认为可能是混乱的.

结论:

临床医生的反对于指导发作风险预测工具的开发至关重要.
图形显示在清晰度和信息传输方面比数字输出具有潜在的优势,尽管偏好各不相同.
未来的工具开发应该考虑结合临床医生的偏好,并需要患者的意见.

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