Tappenden Paul, Chilcott Jim, Ward Sue, Eggington Simon, Hind Daniel, Hummel Silvia
School of Health and Related Research, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield S1 4DA, UK.
Eur J Cancer. 2006 Nov;42(17):2867-75. doi: 10.1016/j.ejca.2006.08.010. Epub 2006 Oct 4.
Cost-effectiveness analysis may be applied to the full range of interventions that make up a cancer service, including screening programmes and early treatments, diagnostic test and referral processes, surgery, radiotherapy, chemotherapy and palliative care. Numerous methodologies have been employed within existing models of cancer interventions. However, not all methodologies are equal; inappropriate modelling approaches may bias cost-effectiveness results. Generic guidelines for good practice in decision-analytic modelling provide a useful basis for critically appraising cost-effectiveness models, yet explicit consideration of a range of cancer-specific issues is required to avoid bias in cost-effectiveness results. These cancer-specific issues include the appropriate representation of relevant costs and health effects associated with unplanned treatments for metastatic disease administered beyond disease progression, the appropriate extrapolation of long-term outcomes and resources from clinical trials, assumptions concerning the nature of the event hazard function beyond the duration of the trial, and relationships between surrogate outcomes and final outcomes.
成本效益分析可应用于构成癌症服务的所有干预措施,包括筛查计划和早期治疗、诊断测试和转诊流程、手术、放疗、化疗和姑息治疗。现有癌症干预模型采用了多种方法。然而,并非所有方法都一样;不恰当的建模方法可能会使成本效益结果产生偏差。决策分析建模良好实践的通用指南为严格评估成本效益模型提供了有用的基础,但需要明确考虑一系列癌症特定问题,以避免成本效益结果出现偏差。这些癌症特定问题包括对疾病进展后给予的转移性疾病非计划治疗相关的相关成本和健康影响的适当表述、从临床试验中对长期结果和资源的适当外推、关于试验持续时间之外事件风险函数性质的假设,以及替代结果与最终结果之间的关系。