通过基于设计的数据驱动的决策支持工具和重新设计护理途径,改善关于癌症治疗的共享决策:对4D PICTURE项目概述
Judith A C Rietjens1,2, Ingeborg Griffioen2,3, Jorge Sierra-Pérez4
1Department of Public Health, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, Rotterdam 3000 CA, The Netherlands.
Palliative care and social practice
|February 14, 2024
概括
该项目重新设计了癌症患者护理途径,并开发了数据驱动的工具,以加强共享决策,改善结果和健康公平. 它整合了患者的偏好和价值观,以提供个性化的癌症治疗支持.
科学领域:
- 在瘤学瘤学.
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
背景情况:
- 癌症患者面临复杂的治疗决策,对生存和生活质量产生不同的影响.
- 低效的护理途径阻碍了共享决策,限制了患者的参与.
- 现有的决策支持工具往往忽视了生活质量和患者偏好,限制了临床整合.
研究的目的:
- 重新设计癌症护理的患者护理路径.
- 开发和整合基于证据,数据驱动的决策支持工具,以改善患者的决策.
- 加强瘤学领域的共同决策过程.
主要方法:
- 为乳腺癌,前列腺癌和黑色素瘤患者共同创建数据驱动的决策支持工具.
- 利用大型数据集和预后算法来支持治疗决策.
- 使用文本挖掘和公民科学开发隐喻菜单对话工具.
- 应用MetroMapping方法来重新设计护理路径,并通过非采用,放弃,扩大,扩散和可持续性 (NASSS) 框架评估可持续性.
主要成果:
- 开发综合决策支持工具和重新设计的护理路径.
- 在癌症护理中改善患者赋权和决策的潜力.
- 在不同癌症类型和欧盟成员国中评估方法的通用性.
结论:
- 综合决策支持工具和优化护理路径可以赋予患者和提供者权力,提高癌症护理结果.
- 该项目旨在提高医疗保健系统的弹性和效率.
- 通过嵌入式伦理方法解决社会和伦理方面的考虑对于成功实施至关重要.
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