基于随机森林模型的甲状腺癌手术后恢复工作的预测因素:一个横截面研究
Xiaoxia Tang1,2, Xiaolin Yi3, Huina Mao4
1Zhujiang Hospital of Southern Medical University, Guangzhou, China.
BMC surgery
|July 3, 2025
概括
甲状腺癌手术后返回工作对许多人来说是具有挑战性的. 自我有效性和痕管理是影响甲状腺癌患者成功恢复工作的关键因素.
科学领域:
- 在瘤学瘤学.
- 康复医学 康复医学 康复医学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 甲状腺癌 (TC) 是一种在年轻和中年成人中普遍存在的恶性瘤.
- 在TC手术后成功恢复工作 (RTW) 对于社会恢复和生活质量至关重要.
- 确定RTW的预测因素对于有针对性的干预措施至关重要.
研究的目的:
- 确定甲状腺癌 (TC) 手术后恢复工作 (RTW) 的关键预测因素.
- 用先进的统计建模分析影响成功RTW的因素.
- 为医疗保健策略提供信息,以改善TC幸存者的RTW率.
主要方法:
- 在手术后对229名TC患者进行了横截面研究.
- 使用调查问卷评估一般信息,RTW自我效能,疲劳和痕严重程度.
- 采用单变量分析,物流回归和随机森林建模 (RFM) 来识别预测因素.
主要成果:
- 183名 (79.9%) 患者成功恢复工作,平均RTW时间为30天.
- 随机森林模型确定了RTW自我有效性 (RTW-SE) 作为主要预测因素.
- 其他重要的预测因素包括术后时间,部痕 (NS),医疗保险,并发症和康复运动.
结论:
- 显著比例 (20.1%) 的TC患者面临着重返工作的挑战.
- 医疗保健专业人员应该专注于可修改的因素,例如加强RTW-SE.
- 针对部痕减少,并发症最小化和康复运动促进的干预措施可以促进RTW.
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