个性化风险预测工具 (PERSARC) 对软组织肉瘤患者的患者知识和决策冲突的 (成本效益):平行集群随机试验 (VALUE-PERSARC研究) 的协议
Anouk A Kruiswijk1,2, Michiel A J van de Sande2, Rick L Haas3
1Department of Biomedical Data Sciences, Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands a.a.kruiswijk@lumc.nl.
BMJ open
|November 2, 2023
概括
本研究评估了一种个性化风险评估工具 (PERSARC),以提高知识,减少高级软组织肉瘤患者的决策冲突. 该工具旨在加强癌症护理中的共享决策.
科学领域:
- 在瘤学瘤学.
- 决策科学 决策科学 决策科学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 高度软组织肉瘤 (STS) 的治疗决策往往缺乏针对风险和患者偏好的个性化.
- 一个个性化的风险评估工具可以提高患者的理解,减少决策冲突.
研究的目的:
- 评估PERSARC工具在改善患者知识和减少高度末端STS患者的决策冲突方面的 (成本) 效益.
- 为了将PERSARC工具与集群随机对照试验中的常规护理进行比较.
主要方法:
- 一个平行集群随机对照试验,涉及至少120名在6家荷兰医院的高度四肢STS患者.
- 干预组在多学科瘤委员会和患者咨询中使用PERSARC;对照组接受通常的护理.
- 决定后一周测量的主要结果:患者知识和决策冲突 (决策冲突量表).
主要成果:
- 主要结局 (患者的知识,决策冲突) 在治疗决定后一周后进行评估.
- 二次结果在决策后的多个时间点 (1周,3,6,12个月) 进行评估.
- 数据分析将遵循治疗意图的方法,使用线性混合模型,考虑医院内的患者聚类.
结论:
- 这项研究旨在提供有关个性化风险评估在改善STS患者治疗结果方面的有效性的证据.
- 通过将验证的风险预测工具潜在地整合到常规癌症护理中,这些发现将为临床实践提供信息.
- 该研究将在同行评审期刊上报告结果,为科学理解瘤学共享决策做出贡献.
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