The Cost-Effectiveness of Computer-Assisted Compared with Conventional Total Knee Arthroplasty: A Payer's Perspective.

IF 4.4 1区 医学 Q1 ORTHOPEDICS Journal of Bone and Joint Surgery, American Volume Pub Date : 2024-09-18 Epub Date: 2024-04-25 DOI:10.2106/JBJS.23.00555
Yao Tian, Abdalrahman G Ahmed, Annika N Hiredesai, Lynn Wei Huang, Ankita M Patel, Hassan M K Ghomrawi
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Abstract

Background: Recent evidence showing that computer-assisted total knee arthroplasty (TKA) is associated with better outcomes compared with conventional TKA for patients with end-stage knee osteoarthritis has not been included in economic evaluations of computer-assisted TKA, which are needed to support coverage decisions. This study evaluated the cost-effectiveness of computer-assisted TKA from a payer's perspective, incorporating recent evidence.

Methods: We compared computer-assisted TKA with conventional TKA with regard to costs (in 2022 U.S. dollars) and quality-adjusted life-years (QALYs) using Markov models for elderly patients (≥65 years of age) and patients who were not elderly (55 to 64 years of age). Costs and QALYs were estimated in the lifetime for elderly patients and in the short term for patients who were not elderly, under a bundled payment program and a Fee-for-Service program. Transition probabilities, costs, and QALYs were retrieved from the literature, a national knee arthroplasty registry, and the National Center for Health Statistics. Threshold and probabilistic sensitivity analyses were conducted to examine the robustness of key estimates used in the base-case analysis. Using projected estimates of TKA utilization, the total cost savings of performing computer-assisted TKA rather than conventional TKA were estimated.

Results: Compared with conventional TKA, computer-assisted TKA was associated with higher QALYs and lower costs for both elderly patients and patients who were not elderly, regardless of payment programs, making computer-assisted TKA a favorable treatment option. Widespread adoption of computer-assisted TKA in all U.S. patients would result in an estimated total cost saving of $1 billion for payers.

Conclusions: Compared with conventional TKA, computer-assisted TKA reduces costs to payers while providing favorable outcomes. Payers may consider providing additional payment incentives to providers for performing computer-assisted TKA, to achieve outcome improvement and cost control by facilitating widespread adoption of computer-assisted TKA.

Level of evidence: Economic and Decision Analysis Level II . See Instructions for Authors for a complete description of levels of evidence.

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计算机辅助全膝关节置换术与传统全膝关节置换术的成本效益比较:付款人的视角。
背景:最近有证据显示,与传统的膝关节骨性关节炎终末期患者全膝关节置换术(TKA)相比,计算机辅助全膝关节置换术(TKA)具有更好的疗效,但计算机辅助全膝关节置换术(TKA)的经济评价尚未纳入其中,而这是支持承保决策所必需的。本研究从支付方的角度评估了计算机辅助 TKA 的成本效益,并纳入了最新的证据:我们使用马尔可夫模型比较了计算机辅助 TKA 和传统 TKA 在老年患者(≥65 岁)和非老年患者(55 至 64 岁)方面的成本(2022 年美元)和质量调整生命年(QALYs)。在捆绑支付计划和收费服务计划下,对老年患者的终生成本和 QALY 进行了估算,并对非老年患者的短期成本和 QALY 进行了估算。过渡概率、成本和 QALYs 均来自文献、国家膝关节置换登记处和国家卫生统计中心。进行了阈值和概率敏感性分析,以检验基础案例分析中使用的关键估计值的稳健性。利用对 TKA 使用率的预测估算,估算了实施计算机辅助 TKA 而非传统 TKA 所节省的总成本:结果:与传统 TKA 相比,计算机辅助 TKA 可为老年患者和非老年患者带来更高的 QALYs 和更低的成本,无论支付方案如何,计算机辅助 TKA 都是一种有利的治疗选择。如果在所有美国患者中广泛采用计算机辅助TKA,估计可为支付方节省总成本10亿美元:结论:与传统的 TKA 相比,计算机辅助 TKA 在提供良好疗效的同时也降低了支付方的成本。支付方可考虑为实施计算机辅助 TKA 的医疗服务提供者提供额外的支付激励,通过促进计算机辅助 TKA 的广泛应用来实现疗效改善和成本控制:经济与决策分析 II 级。有关证据级别的完整描述,请参阅 "作者须知"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.90
自引率
7.50%
发文量
660
审稿时长
1 months
期刊介绍: The Journal of Bone & Joint Surgery (JBJS) has been the most valued source of information for orthopaedic surgeons and researchers for over 125 years and is the gold standard in peer-reviewed scientific information in the field. A core journal and essential reading for general as well as specialist orthopaedic surgeons worldwide, The Journal publishes evidence-based research to enhance the quality of care for orthopaedic patients. Standards of excellence and high quality are maintained in everything we do, from the science of the content published to the customer service we provide. JBJS is an independent, non-profit journal.
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