Groenveld Tjitske D, van Dorst Pim, Ten Broek Richard P G, van Boekel Rianne L M, van Beek Roderick F, van der Pol Simon, van Goor Harry
Department of Surgery, Radboud University Medical Centre, Nijmegen, The Netherlands.
Health-Ecore, Zeist, The Netherlands.
Int J Surg. 2025 Jun 1;111(6):3798-3809. doi: 10.1097/JS9.0000000000002385. Epub 2025 May 16.
Virtual reality (VR) therapy is increasingly used to mitigate pain and anxiety in inpatient settings, with varying effectiveness in postoperative settings. The costs of VR therapy also differ among suppliers. This health-economic analysis aims to inform policy- and decision-makers on the potential impact of VR therapy from a societal perspective based on pain management at discharge and the development of chronic postsurgical pain (CPSP).
A Markov model was developed to simulate 1-year postoperative costs and effects. Using a threshold and headroom analysis, the Incremental Cost-effectiveness Ratio (ICER) was calculated for various VR effectiveness estimates and costs when VR therapy demonstrated cost-effectiveness or cost-savings for postoperative pain management. VR effectiveness was based on opioid use at discharge, affecting the Markov model's initial distribution and CPSP development. The ICER was calculated from quality-adjusted life-years (QALYs) and costs associated with CPSP. A univariate sensitivity analysis was used to assess parameter uncertainty by varying each parameter by ±20% from the base-case value.
VR therapy needs to reduce opioid use at discharge by at least 2.8% to be cost-effective at a willingness-to-pay threshold of €20 000 per QALY and VR costs of €47.48 per patient. To be cost-saving, a reduction of at least 6.5% is needed. The sensitivity analysis indicated that the transition probability from "pain with opioid" to "pain free" in month 2 had the most impact on the ICER. Other significant variables included VR effectiveness and costs, each influencing the ICER by over €5000.
The needed 2.8% reduction in opioid use at discharge seems plausible based on literature. However, knowledge gaps regarding the effectiveness of VR, the incidence of chronic postoperative pain, and societal costs of chronic pain need to be addressed, to better understand VR therapy's role in optimizing postoperative pain management.
虚拟现实(VR)疗法越来越多地用于减轻住院患者的疼痛和焦虑,在术后环境中的效果各不相同。VR疗法的成本在不同供应商之间也存在差异。这项卫生经济分析旨在从社会角度,基于出院时的疼痛管理和慢性术后疼痛(CPSP)的发展,为政策制定者和决策者提供有关VR疗法潜在影响的信息。
开发了一个马尔可夫模型来模拟术后1年的成本和效果。使用阈值和余量分析,计算了各种VR有效性估计值和成本的增量成本效益比(ICER),当VR疗法在术后疼痛管理中显示出成本效益或成本节约时。VR有效性基于出院时的阿片类药物使用情况,影响马尔可夫模型的初始分布和CPSP发展。ICER由质量调整生命年(QALYs)和与CPSP相关的成本计算得出。使用单因素敏感性分析通过将每个参数从基线值变化±20%来评估参数不确定性。
在每QALY支付意愿阈值为20000欧元且每位患者VR成本为47.