预测虚拟心脏康复计划遵守的因素
Natalie Z M Eichner1, Qiuyu Martin Zhu2, Adelita Granados3
1Penn State College of Medicine, Hershey, PA 17033, USA.
International journal of cardiology
|September 18, 2023
概括
年龄较小,糖尿病和吸烟预测虚拟心脏康复 (CR) 的出席率较低. 干预措施可以针对这些因素来改善心血管疾病患者的CR计划参与.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 公共卫生 公共卫生
背景情况:
- 心脏康复 (CR) 对心血管疾病 (CVD) 患者提供了显著的好处,但参与率仍然低于最佳.
- 虚拟CR程序提供了一个可扩展的解决方案,以增加访问和利用.
- 关于大型虚拟CR程序中的合规因素的数据有限.
研究的目的:
- 在大型虚拟CR程序中识别合规性预测因素.
- 为改进CR利用提供信息,以进行有针对性的干预.
主要方法:
- 在美国的虚拟CR计划中对1409名患者进行分析 (12次电话会议).
- 收集的人口统计数据,临床因素 (体重,血压,HbA1c,吸烟) 和心血管疾病诊断.
- 符合性定义为 ≥75%的出席率;使用回归模型进行分析 (P < 0.05).
主要成果:
- 年龄较小是违规行为最强烈的预测因素.
- HbA1c水平,心血管疾病诊断和吸烟状态也适度预测了合规性.
- 结合吸烟和HbA1c显著改善了预测 (R2=0.79).
结论:
- 年龄,糖尿病,心血管疾病诊断和吸烟状态是虚拟CR合规性的关键独立预测因素.
- 调查结果支持制定有针对性的干预措施,以提高CR计划的坚持.
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