Baltussen Rob, Surgey Gavin, Vassall Anna, Norheim Ole F, Chalkidou Kalipso, Siddiqi Sameen, Nouhi Mojtaba, Youngkong Sitaporn, Jansen Maarten, Bijlmakers Leon, Oortwijn Wija
Radboud University Medical Center, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.
London School of Hygiene and Tropical Medicine, London, UK.
Cost Eff Resour Alloc. 2023 Oct 9;21(1):75. doi: 10.1186/s12962-023-00484-2.
Countries around the world are increasingly rethinking the design of their health benefit package to achieve universal health coverage. Countries can periodically revise their packages on the basis of sectoral cost-effectiveness analyses, i.e. by evaluating a broad set of services against a 'doing nothing' scenario using a budget constraint. Alternatively, they can use incremental cost-effectiveness analyses, i.e. to evaluate specific services against current practice using a threshold. In addition, countries may employ hybrid approaches which combines elements of sectoral and incremental cost-effectiveness analysis - a country may e.g. not evaluate the comprehensive set of all services but rather relatively small sets of services targeting a certain condition. However, there is little practical guidance for countries as to which kind of approach they should follow.
The present study was based on expert consultation. We refined the typology of approaches of cost-effectiveness analysis for benefit package design, identified factors that should be considered in the choice of approach, and developed recommendations. We reached consensus among experts over the course of several review rounds.
Sectoral cost-effectiveness analysis is especially suited in contexts with large allocative inefficiencies in current service provision and can, in theory, realize large efficiency gains. However, it may be challenging to implement a comprehensive redesign of the package in practice. Incremental cost-effectiveness analysis is especially relevant in contexts where specific new services may impact the sustainability of the health system. It may potentially support efficiency improvement, but its focus has typically been on new services while existing inefficiencies remain unchallenged. The use of hybrid approach may be a way forward to address the strengths and weaknesses of sectoral and incremental analysis areas. Such analysis may be especially useful to target disease areas with suspected high inefficiencies in service provision, and would then make good use of the available research capacity and be politically rewarding. However, disease-specific analyses bear the risk of not addressing resource allocation inefficiencies across disease areas.
Countries should carefully select their approach of cost-effectiveness analyses for benefit package design, based on their decision-making context.
世界各国越来越多地重新思考其医保福利包的设计,以实现全民健康覆盖。各国可以根据部门成本效益分析定期修订其医保福利包,即通过在预算约束下,将一系列广泛的服务与“不采取任何行动”的情景进行评估。或者,他们可以使用增量成本效益分析,即使用一个阈值,将特定服务与当前做法进行评估。此外,各国可能采用混合方法,将部门成本效益分析和增量成本效益分析的要素结合起来——例如,一个国家可能不评估所有服务的全面组合,而是针对特定病症的相对较小的服务组合。然而,对于各国应采用哪种方法,几乎没有实际的指导。
本研究基于专家咨询。我们完善了医保福利包设计中成本效益分析方法的类型,确定了选择方法时应考虑的因素,并提出了建议。我们在几轮评审过程中达成了专家共识。
部门成本效益分析特别适用于当前服务提供中存在大量配置效率低下的情况,并且理论上可以实现大幅效率提升。然而,在实践中对医保福利包进行全面重新设计可能具有挑战性。增量成本效益分析在特定新服务可能影响卫生系统可持续性的情况下尤其相关。它可能潜在地支持效率提高,但其重点通常放在新服务上,而现有效率低下问题仍未得到解决。使用混合方法可能是解决部门分析和增量分析领域优缺点的前进方向。这种分析对于针对疑似服务提供效率低下的疾病领域可能特别有用,然后可以充分利用现有的研究能力,并在政治上获得回报。然而,针对特定疾病的分析存在无法解决跨疾病领域资源分配效率低下问题的风险。
各国应根据其决策背景,仔细选择医保福利包设计的成本效益分析方法。