包括社会经济地位在内,可以降低对安全网医院的再接收处罚
Andrew A Gonzalez1, Anush Motaganahalli2, Jordan Saunders3
1Division of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, IN; William Tierney Center for Health Services Research, Regenstrief Institute, Indianapolis, IN; Surgical Outcomes and Quality Improvement Center, Indiana University School of Medicine, Indianapolis, IN.
Journal of vascular surgery
|November 23, 2023
概括
将社会经济地位 (SES) 纳入医疗保险的再接收模型将减少对安全网医院 (SNHs) 进行下肢再血管化 (LER) 的财务处罚. 这种调整减少了对服务于弱势群体的医院不成比例的影响.
科学领域:
- 卫生政策研究 卫生政策研究
- 医疗保健经济学 医疗经济学
- 血管外科手术的结果
背景情况:
- 医疗保险的医院再录取减少计划 (HRRP) 对高再录取率的医院进行惩罚.
- 从风险调整中排除社会经济地位 (SES) 可能会不公平地惩罚为弱势群体服务的安全网医院 (SNH).
- 包括SES在内的风险调整对HRRP对下肢再血管化 (LER) 处罚的影响尚不清楚.
研究的目的:
- 模拟将SES纳入医疗保险的风险调整模型对HRRP处罚的影响.
- 评估SES敏感模型如何影响执行LER程序的医院的处罚.
- 评估与非SNHs相比,对SNHs的影响的差异.
主要方法:
- 对国家医疗保险数据 (2007年至2009年) 的回顾性分析,用于开放式或内血管LER.
- 层次逻辑回归用于比较使用当前医疗保险模型与SES敏感模型的再接收率.
- 根据这两种模型,对SNH和非SNH的处罚概率和规模的估计.
主要成果:
- 分析包括1708家医院和284,724次LER手术;整体再接收率为14.4%.
- 对SES进行调整并没有显著改变被处罚的SNH比例 (55.1%对53.4%,P=.101).
- 然而,SES调整后的模型降低了38%的SNH的罚款金额,而非SNH的罚款金额为17% (P<.001).
结论:
- 将SES纳入医疗保险的LER风险调整模型将降低SNH,特别是教学机构的罚款金额.
- 当前的风险调整模型可能无法充分考虑影响再接收的社会经济因素.
- 除了SES调整之外,还需要进一步的战略,以减少SNH和非SNH之间重新接收的全国差异.
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