开发用于戒烟的数字治疗方法的成本效益模型
Sung Goo Yoo1, Dai Jin Kim1,2, Ji Won Chun1
1Department of Medical Informatics, College of Medicine, The Catholic University of Korea.
Studies in health technology and informatics
|January 25, 2024
概括
这项研究开发了韩国成年吸烟者数字治疗 (DTx) 的马尔科夫模型. 尼古丁替代疗法 (NRT) 成为主导策略,DTx补充药物治疗作为一个具有成本效益的选择.
科学领域:
- 卫生经济学 卫生经济学
- 数字健康数字健康
- 药物经济学 药物经济学
背景情况:
- 在韩国,吸烟仍然是一个重要的公共卫生问题.
- 预测戒烟干预措施的长期经济影响至关重要.
- 数字疗法 (DTx) 为行为改变和健康管理提供了新的方法.
研究的目的:
- 构建一个马尔科夫模型来预测韩国成年人戒烟的终身成本和后果.
- 评估数字疗法 (DTx) 作为戒烟战略的经济可行性.
- 将DTx与尼古丁替代疗法 (NRT) 等现有干预措施进行比较.
主要方法:
- 年度周期马尔科夫模型的开发.
- 在韩国试图戒烟的假设成年吸烟者的模拟队列.
- 分析与不同戒烟策略相关的终身成本和健康后果.
主要成果:
- 马尔科夫模型预测了韩国成年吸烟者的终身成本和后果.
- 尼古丁替代疗法 (NRT) 被确定为主要的成本效益战略.
- 数字疗法 (DTx) 证明了作为药物治疗的补充性,低成本补充的潜力.
结论:
- 在模拟的韩国人口中,NRT是戒烟的主要策略.
- 数字疗法 (DTx) 可以作为戒烟药物治疗的有价值,具有成本效益的补充剂.
- 对DTx在公共卫生战略中的整合进行进一步的研究是有必要的.
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