Protocol for a trial-based economic evaluation analysis of a complex digital health intervention including a computerised decision support tool: the iFraP intervention

Michele Siciliano, Sarah Bathers, Ida Bentley, L. Bullock, Andrea Cherrington, Emma M Clark, Jane Fleming, Clare Jinks, Sarah Lewis, Christian Mallen, Elaine Nicholls, Terence W O'Neill, Jo Smith, David Webb, Z. Paskins, Cynthia P Iglesias-Urrutia
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Abstract

Background Digital health interventions (DHI) are associated with significant promise. In recent years, the need to assess the value of these healthcare technologies has motivated a debate regarding the suitability of existing economic evaluation methods in the context of DHI evaluation. Some have argued that robust economic evaluation methods may not be capable of capturing relevant DHI’s characteristics. Others consider that assessing the value of DHI might not be feasible. This protocol paper challenges that view. More specifically, it describes early Health Technology Assessments (HTA) methods to rigorously assess the value for money of a complex intervention including a digital decision support tool i.e., Improving uptake of Fracture Prevention drug treatments (iFraP) as a tracer intervention. iFraP is a complex intervention consisting of a computerised decision support tool, a clinician training package, and information resources to facilitate shared decision-making, increase informed medicine initiation and reduce levels of medicine discontinuation. iFraP’s development was motivated by a view that good quality shared decision-making conversations have the potential to improve levels of osteoporosis medicine uptake. Methods An early economic evaluation of the iFraP intervention was designed to identify, measure, and evaluate the costs and health benefits of iFraP compared to usual practice in Fracture Liaison Services (FLSs). A within-trial cost-effectiveness from the perspective of the National Health Service and Personal Social Service in England will be conducted using patient’s self-reported health related quality of life (HRQoL) and resource use from the iFraP randomised controlled trial. Microanalysis will be used to estimate iFraP’s intervention cost. Finally, Bayesian Value of Information analysis will allow us to estimate an upper bound for the potential health benefits gained from reducing uncertainty on the impact of the iFraP intervention to support uptake and adherence with osteoporosis medicines. Trial registration ISRCTN10606407 - https://doi.org/10.1186/ISRCTN10606407
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对包括计算机化决策支持工具在内的复杂数字健康干预措施:iFraP 干预措施进行基于试验的经济评价分析的规程
背景 数字医疗干预(DHI)前景广阔。近年来,由于需要评估这些医疗保健技术的价值,人们开始讨论现有的经济评估方法是否适用于 DHI 评估。一些人认为,稳健的经济评估方法可能无法捕捉到相关的 DHI 特性。还有人认为,评估 DHI 的价值可能并不可行。本协议文件对这一观点提出了质疑。更具体地说,它描述了早期健康技术评估(HTA)方法,以严格评估包括数字决策支持工具在内的复杂干预措施的经济价值、iFraP 是一项复杂的干预措施,由计算机化的决策支持工具、临床医生培训包和信息资源组成,旨在促进共同决策、增加知情用药和降低停药率。iFraP 的开发源于一种观点,即高质量的共同决策对话具有提高骨质疏松症用药率的潜力。方法 对 iFraP 干预措施进行早期经济评估,旨在确定、衡量和评估 iFraP 与骨折联络服务(FLS)中常规做法相比的成本和健康效益。将利用 iFraP 随机对照试验中患者自我报告的健康相关生活质量(HRQoL)和资源使用情况,从英格兰国民健康服务和个人社会服务的角度进行试验内成本效益分析。微观分析将用于估算 iFraP 的干预成本。最后,贝叶斯信息价值分析将使我们能够估算出通过减少 iFraP 干预措施对骨质疏松症药物摄入和依从性影响的不确定性而获得的潜在健康益处的上限。试验注册 ISRCTN10606407 - https://doi.org/10.1186/ISRCTN10606407
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