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美国心力衰竭管理系统的成本效益分析

Cost-Effectiveness Analysis of a Heart Failure Management System in the United States.

作者信息

Bosworth Smith Antonia, Silas Ubong, Veloz Alex, Mallow Peter, Pisani Barbara, Bonderman Diana, Saunders Rhodri

机构信息

Coreva Scientific GmbH & Co. KG, Königswinter, Germany.

ZOLL Medical Corporation, Pittsburgh, Pennsylvania, USA.

出版信息

J Health Econ Outcomes Res. 2025 Mar 17;12(1):113-119. doi: 10.36469/001c.130066. eCollection 2025.

Abstract

The disease burden of heart failure is mainly driven by high hospital readmission rates. Remote monitoring devices can be used to assess the status of patients after discharge and identify early signs of worsening symptoms. Initial studies indicated that Heart Failure Management System (HFMS), a novel monitoring device, can prevent hospital readmission. To determine the cost effectiveness of HFMS compared with standard of care (SOC) in the United States. A Markov model was developed to follow patients after their discharge from index hospitalization for heart failure. The costs and outcomes were estimated for 5 years. The patient cohort was initially in "outpatient care," where they are at risk of an emergency room visit or hospital readmission. If hospitalized, patients returned to a second outpatient care health state. An "escalation of care" (eg, surgical intervention) may have removed patients from the intervention. The model took the payer perspective with costs in 2022 US dollars. The incremental cost-effectiveness ratio measured effectiveness through hospital readmissions. The willingness-to-pay threshold was set to the published cost of a heart failure rehospitalization ($10 737). Sensitivity and scenario analyses explored the robustness of the model to changes in inputs. Compared with SOC, HFMS reduced the mean cost of care by 155 122 vs $161 846) over the 5-year period. The mean number of hospital readmissions was reduced to 1.075 with HFMS from 1.201 with SOC (-0.126 events). The incremental cost-effectiveness ratio showed that HFMS was a dominant strategy compared with SOC, leading to reduced costs and hospital readmissions in 93.4% of the 1000 Monte Carlo simulations; 94.1% of the simulations fell below the willingness-topay threshold. Savings with HFMS emerged from the third month. The results indicated the cost-effectiveness of HFMS compared with SOC. The sensitivity analyses supported this finding. Reducing costly hospital readmissions may help to alleviate the burden of heart failure. Longer-term data on HFMS are encouraged to confirm or contest the model outcomes. The use of HFMS is expected to save costs and reduce hospitalizations over a 5-year period compared with the current SOC.

摘要

心力衰竭的疾病负担主要由高住院再入院率驱动。远程监测设备可用于评估患者出院后的状况,并识别症状恶化的早期迹象。初步研究表明,一种新型监测设备心力衰竭管理系统(HFMS)可以预防医院再入院。为了确定在美国HFMS与标准治疗(SOC)相比的成本效益。开发了一个马尔可夫模型来跟踪心力衰竭患者首次住院出院后的情况。对成本和结果进行了5年的估计。患者队列最初处于“门诊护理”状态,在此状态下他们有急诊就诊或住院再入院的风险。如果住院,患者会回到第二个门诊护理健康状态。“护理升级”(如手术干预)可能会使患者退出干预。该模型从支付方的角度出发,成本以2022年美元计算。增量成本效益比通过住院再入院来衡量效果。支付意愿阈值设定为已公布的心力衰竭再次住院成本(10737美元)。敏感性和情景分析探讨了模型对输入变化的稳健性。与SOC相比,在5年期间,HFMS将护理的平均成本从161846美元降低到了155122美元。HFMS使平均住院再入院次数从SOC的1.201次降至1.075次(减少了0.126次事件)。增量成本效益比表明,与SOC相比,HFMS是一种主导策略,在1000次蒙特卡洛模拟中有93.4%的情况导致成本降低和住院再入院次数减少;94.1%的模拟结果低于支付意愿阈值。HFMS从第三个月开始节省成本。结果表明了HFMS与SOC相比的成本效益。敏感性分析支持了这一发现。减少昂贵的住院再入院可能有助于减轻心力衰竭的负担。鼓励获取关于HFMS的长期数据以确认或质疑模型结果。与当前的SOC相比,预计使用HFMS在5年期间可节省成本并减少住院次数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d50/11922182/7b71ac4a06b9/jheor_2025_12_1_130066_271722.jpg

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