根据患者报告的结果,癌症患者的症状和功能网络在不同的潜在风险小组中基于患者报告的结果
Xiaojuan Hu1,2, Zhihui Duan3, Xiaokun Li4
1Department of Medical Information Technology, School of Management, Shanxi Medical University, No. 56 South XinJian Road, Taiyuan, Shanxi Province, 030001, China.
BMC cancer
|May 14, 2025
概括
这项研究使用患者报告结果 (PRO) 确定了癌症患者的三个不同的风险亚组. 这些群体的关键症状和功能各不相同,这表明需要个性化干预措施来改善与健康有关的生活质量 (HRQoL).
科学领域:
- 在瘤学瘤学.
- 医疗保健服务研究 医疗服务研究
- 心理测量 心理测量 心理测量
背景情况:
- 使用患者报告结果 (PRO) 的异质癌症患者的风险分层和风险管理有限.
- 迫切需要方法来识别不同的风险概况,并根据PROs定制干预措施.
研究的目的:
- 探索癌症患者的潜在风险子组.
- 根据PROs.来划分症状和功能的多维网络.
主要方法:
- 隐形形状分析 (LPA) 用于基于1,404名中国癌症患者的HRQoL数据来确定风险亚组.
- 网络分析 (NA) 应用于癌症-PRO措施 (CA-PROM),以绘制症状和功能的相互关系.
- 通过使用网络比较测试 (NCT) 对已识别的风险子组进行了网络特征比较.
主要成果:
- 确定了三个潜在风险子组 (高,中,低),在人口统计,疾病和治疗特征方面存在显著差异.
- 网络分析强调了特定的症状 (例如,绝望) 和功能 (例如,家庭支持) 对于HRQoL异质性至关重要.
- 这些症状/功能的影响和相互联系在确定的风险亚组中各不相同.
结论:
- 在PRO网络中的中心和桥梁症状/功能可以为个性化干预提供信息.
- 针对特定的症状和功能可以改善不同风险层的癌症患者的HRQoL.
- 这种方法为基于患者报告的数据的瘤学精度管理提供了一个框架.
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