基于并发症和并发症分类的脑梗塞的DRG两阶段分组
Siyu Zeng1, Lele Li2,3, Jialing Li4
1School of Logistics, Chengdu University of Information Technology, Chengdu, Sichuan, China.
Frontiers in public health
|May 13, 2025
概括
在中国,一种新的脑梗塞 (CI) 分组的两阶段方法显著提高了成本效益. 这种本地化方法增强了诊断相关组 (DRG) 的分类,为医疗保健系统提供了巨大的节省.
科学领域:
- 卫生经济学 卫生经济学
- 医疗信息学 医疗信息学
- 公共卫生政策 公共卫生政策
背景情况:
- 脑梗塞 (CI) 是中国主要的死亡原因,随着治疗成本的不断上升,医疗保健系统面临压力.
- 诊断相关小组 (DRG) 支付系统是医疗保健支出控制的一个解决方案.
- 在中国实施DRG面临着由于区域差异和各种疾病模式的挑战.
研究的目的:
- 开发和评估一项针对中国西部的新型两阶段DRG分组战略.
- 调整DRG实施以适应当地疾病负担和医疗保健资源变化.
- 评估拟议的本地化DRG方法的成本效益和效率.
主要方法:
- 通过使用来自111,025名CI患者的住院数据,制定了两阶段的分组策略.
- 第一阶段使用回归分析来确定影响成本的并发症和并发症.
- 第二阶段使用决策树算法进行标准化,区域适应的DRG分类.
主要成果:
- 局部化的两阶段DRG模型实现了100%的组间变化,低于变化系数 (CV) 值1.
- DRG组的数量从18个减少到4个,增强了分类标准化.
- 群体中CV<0.8的比例从67%增加到100%,这表明与CHS-DRG相比,群体同质性有所改善.
结论:
- 拟议的两阶段方法有效地将CI患者分组起来,比现有的CHS-DRG系统表现出更高的性能.
- 在目标城市实施可能会节省8.59亿美元的成本.
- 这种适应性DRG战略显示了在经历医疗改革的资源有限地区的潜在可扩展性.
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