为患有抑郁症的患者开发联合创建的决策辅助工具 - - 将数据驱动的预测与患者和临床医生的需求和观点结合起来:混合方法研究
Kaying Kan1, Frederike Jörg1,2, Klaas J Wardenaar1
1University Center for Psychiatry, Rob Giel Research Center, Interdisciplinary Center for Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, PO Box 30001, Groningen, 9700 RB, The Netherlands, 31 5036161008, 31 655257786.
Journal of participatory medicine
|July 21, 2025
概括
开发了一个新的工具,I-SHARED,用于在抑郁症治疗中共享决策. 它提供个性化的信息,帮助患者和临床医生做出明智的,协作性的治疗选择.
科学领域:
- 心理健康研究 心理健康研究
- 临床决策支持系统 临床决策支持系统
- 以患者为中心的护理
背景情况:
- 大型抑郁症 (MDD) 的治疗反应各异,需要个性化护理.
- 共享决策 (SDM) 对于以患者为中心的治疗至关重要,但缺乏适合抑郁症的工具.
- 现有的工具往往无法整合个性化数据和患者共同创作.
研究的目的:
- 开发一种用于SDM在抑郁症治疗中的工具.
- 通过数字报告为患者和临床医生提供系统的,个性化的信息.
- 以客观,基于证据的数据指导治疗决策.
主要方法:
- 由研究人员和患者代表共同领导,采用混合方法方法 (2017-2021年).
- 定性研究探讨了最终用户的需求;范围审查确定了治疗反应预测因素.
- 在K-means集群分析中,确定了患者集群,以提供量身定制的治疗建议.
主要成果:
- 开发了抑郁症共享决策工具 (I-SHARED).
- 确定了四类治疗响应预测因素和五个患者集群.
- I-SHARED报告整合了这些发现,并准备在电子健康记录中进行试点测试.
结论:
- 合作开发的I-SHARED工具增强了对MDD的知情,以患者为中心的治疗决策.
- 它代表了个性化治疗和抑郁症的SDM的重大进展.
- 该工具通过将个人数据与客观的治疗信息相结合,促进了共享决策.
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