癌症化疗患者使用深度学习的持续护理症状管理
Jie Zhang1,2, Xiao-Nan Lv1,2, Mei Wang3
1Department of Nursing, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Scientific reports
|March 7, 2025
概括
一个深度学习平台有效地减少了焦虑和抑郁,改善了化疗患者的生活质量. 患者对数字健康工具的满意度很高,显示了其临床潜力.
科学领域:
- 在瘤学瘤学.
- 数字健康数字健康
- 人工智能的人工智能
背景情况:
- 化疗显著影响患者的心理健康和生活质量.
- 目前的症状管理策略可能无法完全解决心理困扰.
- 需要创新的数字健康解决方案来支持化疗患者.
研究的目的:
- 评估深度学习平台在治疗化疗患者症状的有效性.
- 评估平台对焦虑,抑郁和生活质量的影响.
- 为了确定患者对深度学习干预的满意度.
主要方法:
- 一项非随机对照试验,涉及144名化疗患者 (干预组n=72,对照组n=72).
- 干预组使用深度学习平台;对照组接受标准护理.
- 焦虑 (SAS),抑郁 (SDS) 和生活质量 (QOL) 在基线和6个月后被测量.
主要成果:
- 深度学习平台显著改善了干预组的焦虑,抑郁和生活质量得分 (P <0.05).
- 两组之间没有观察到显著的基线差异.
- 患者对该平台的满意度很高 (4.93 ± 0.13).
结论:
- 深度学习平台有效地减少了化疗患者的心理痛苦,提高了化疗患者的生活质量.
- 数字健康干预表明了高患者满意度和临床整合的可行性.
- 这项技术为瘤学中支持性护理提供了一个有前途的方法.
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