Cost-effectiveness of a clinical decision support system for atrial fibrillation: an RCT-based modelling study.

IF 4.4 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
European heart journal. Digital health Pub Date : 2025-08-01 eCollection Date: 2025-09-01 DOI:10.1093/ehjdh/ztaf087
Olof Persson Lindell, Martin Henriksson, Lars O Karlsson, Staffan Nilsson, Emmanouil Charitakis, Magnus Janzon
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Abstract

Aims: Atrial fibrillation (AF) is a common arrythmia that increases the risk of thromboembolism. Despite the effectiveness of anticoagulation in AF, underuse remains a substantial problem. Clinical decision support (CDS) systems may increase adherence to guideline recommended anticoagulation in AF. However, evidence regarding the cost-effectiveness of these interventions is lacking. The aim of this study was therefore to evaluate the cost-effectiveness of a CDS for AF.

Methods and results: We developed a disease progression model with a Markov structure and simulated a cohort of hypothetical individuals with AF through a standard of care and a CDS strategy. The adherence to anticoagulation in the model was based on the treatment effect reported in the CDS-AF trial, which evaluated the effect of a CDS in patients with AF in the primary care in Östergötland, Sweden. The cost-effectiveness of the CDS-AF intervention compared with standard of care was determined by estimating costs and quality-adjusted life years (QALYs) gained over a lifetime time horizon and was reported as an incremental cost-effectiveness ratio (ICER) assessed against a decision-threshold of €50 000. Uncertainty was evaluated using both one-way and probabilistic sensitivity analysis (PSA). The CDS-intervention resulted in fewer ischaemic strokes but more bleedings. The mean per patient gain in QALYs was 0.012 and the ICER was €963 per QALY gained. The result of the PSA indicated a high probability that the ICER was below €50 000.

Conclusion: The CDS intervention used in the CDS-AF trial appears to yield health gains at a lower cost than typically considered cost-effective.

Trial registration: NCT02635685.

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心房颤动临床决策支持系统的成本效益:一项基于随机对照试验的建模研究。
目的:心房颤动(AF)是一种常见的心律失常,可增加血栓栓塞的风险。尽管抗凝治疗房颤有效,但使用不足仍然是一个重大问题。临床决策支持(CDS)系统可能会增加AF患者对指南推荐抗凝治疗的依从性。然而,缺乏关于这些干预措施成本效益的证据。因此,本研究的目的是评估CDS治疗AF的成本效益。方法和结果:我们建立了一个具有马尔可夫结构的疾病进展模型,并通过标准护理和CDS策略模拟了一组假设的AF患者。模型中抗凝治疗的依从性是基于CDS-AF试验中报道的治疗效果,该试验评估了CDS在瑞典Östergötland初级保健中对AF患者的效果。与标准护理相比,CDS-AF干预的成本-效果是通过估计成本和终身时间范围内获得的质量调整生命年(QALYs)来确定的,并以增量成本-效果比(ICER)报告,以50,000欧元的决策阈值评估。不确定性评估采用单向和概率敏感性分析(PSA)。cds干预减少了缺血性中风,但增加了出血。QALY中每位患者的平均收益为0.012,ICER为963欧元/ QALY。PSA的结果表明,ICER很有可能低于5万欧元。结论:CDS- af试验中使用的CDS干预似乎以低于通常认为的成本效益的成本获得了健康收益。试验注册:NCT02635685。
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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