Dewilde Sarah, Anderson Rob
MEDTAP International Inc., London, UK.
Med Decis Making. 2004 Sep-Oct;24(5):486-92. doi: 10.1177/0272989X04268953.
Despite early recognition of the theoretical advantages of simulations that include different population subgroups/ strata and different birth cohorts, many modeling-based economic evaluations of cervical screening have been based on unrealistic single birth cohort simulations. The authors examined the effect of a multiple birth cohort simulation on the incremental cost-effectiveness estimates of cervical screening programs, compared to a conventional single cohort simulation. The choice of hypothetical cohort that starts the simulation had a major impact on the cost-effectiveness estimates: Compared with a single birth cohort simulation, the incremental cost-effectiveness of a shift from biennial to triennial screening was 30% higher when using the multiple cohort simulation. Multiple cohort simulations using the different age structures of 4 countries had little impact on the cost effectiveness ratios (variation <5%). Future modeling-based evaluations of screening policies should better reflect the age range of the population that is targeted by carefully specifying the nature of the starting cohort(s).
尽管人们早就认识到包含不同人群亚组/阶层以及不同出生队列的模拟在理论上具有优势,但许多基于模型的子宫颈癌筛查经济评估都是基于不切实际的单出生队列模拟。与传统的单队列模拟相比,作者研究了多出生队列模拟对子宫颈癌筛查项目增量成本效益估计的影响。开始模拟时假设队列的选择对成本效益估计有重大影响:与单出生队列模拟相比,使用多队列模拟时,从两年一次筛查改为三年一次筛查的增量成本效益高出30%。使用4个国家不同年龄结构进行的多队列模拟对成本效益比影响不大(变化<5%)。未来基于模型的筛查政策评估应通过仔细指定起始队列的性质,更好地反映目标人群的年龄范围。