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高级影像学检查与急性胸痛急诊科标准护理相比可降低成本。

Advanced Imaging Reduces Cost Compared to Standard of Care in Emergency Department of Triage of Acute Chest Pain.

机构信息

Northwell Health, Non-Invasive Cardiology, Lenox Hill Heart and Vascular Institute, New York, NY.

Department of Radiology, Mount Sinai St. Luke's and Mount Sinai West, New York, NY.

出版信息

Health Serv Res. 2018 Aug;53(4):2384-2405. doi: 10.1111/1475-6773.12799. Epub 2017 Nov 13.

Abstract

OBJECTIVE

To evaluate medical costs of novel therapies in complex medical settings using registry data.

DATA SOURCE/STUDY SETTING: Primary data, from 2008 to 2010. We used patient registry data to evaluate cost and quality performance of coronary computed tomography angiography (CCTA) in triaging chest pain patients in our tertiary care emergency department and to model financial performance under Medicare's two midnight rule.

STUDY DESIGN

Using generalized linear modeling, we retrospectively compared estimated expenditures for evaluation of low-to-intermediate-risk chest pain for demographic and medically risk matched samples of 894 patients each, triaged with CCTA or local standard of care (SOC) using Medicare reimbursement as a proxy.

DATA COLLECTION/EXTRACTION METHODS: Predefined data elements were downloaded from the hospital mainframe into the CCTA registry, where they were validated and maintained electronically.

PRINCIPLE FINDINGS

We found that predicted standard of care costs were 2.5 times higher on the initial visit and 1.98 times higher over 30 days (p < .001) than those using CCTA. Predicted cost was 1.6 times higher when we applied our two midnight rule model (p < .001).

CONCLUSION

Rapid assessment of treatment using registry data is a promising means of analyzing cost performance in complex health care environments.

摘要

目的

利用注册数据评估复杂医疗环境下新型疗法的医疗成本。

数据来源/研究环境:原始数据,来自 2008 年至 2010 年。我们使用患者注册数据来评估冠状动脉计算机断层扫描血管造影术 (CCTA) 在我们的三级护理急诊部门分诊胸痛患者的成本和质量表现,并根据医疗保险的两条午夜规则来模拟财务表现。

研究设计

使用广义线性模型,我们回顾性地比较了 CCTA 或当地标准护理 (SOC) 分诊的 894 例低至中度风险胸痛患者的评估费用,这些患者在人口统计学和医疗风险上匹配,以医疗保险报销作为代理。

数据收集/提取方法:从医院主机下载预定义的数据元素到 CCTA 注册处,在那里对其进行验证并以电子方式维护。

主要发现

我们发现,与使用 CCTA 相比,在初始就诊时,标准护理的预测费用高出 2.5 倍,在 30 天内高出 1.98 倍(p < 0.001)。当我们应用我们的两条午夜规则模型时,预测费用高出 1.6 倍(p < 0.001)。

结论

利用注册数据快速评估治疗方法是分析复杂医疗环境下成本表现的一种很有前途的手段。

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