Rosenquist C J, Lindfors K K
Department of Radiology, University of California, Davis, School of Medicine, Sacramento 95817, USA.
Cancer. 1998 Jun 1;82(11):2235-40. doi: 10.1002/(sici)1097-0142(19980601)82:11<2235::aid-cncr19>3.0.co;2-v.
Several recent studies have added significant information regarding the benefit of screening mammography, especially in the 40-49-years age group. This new information makes it important to reassess the cost-effectiveness of screening.
A Markov model was used to study the cost-effectiveness of 4 age-related screening strategies: 1) annually from ages 40-79 years; 2) annually from ages 40-64 years and biennially from ages 65-79 years; 3) annually from ages 40-49 years and biennially from ages 50-79 years; and 4) annually from ages 40-79 years in high risk women (10%) and biennially from ages 40-49 years followed by annually from ages 50 -79 years in normal risk women (90%). An additional strategy simulating hormone status and estrogen exposure was evaluated. Cost-effectiveness was expressed as marginal cost per year-life saved (MCYLS).
The MCYLS varied from $18,800 to $16,100. For all strategies this was within the range of other generally acceptable diagnostic and therapeutic medical procedures. There was a 14% decrease in MCYLS from the least cost-effective to the most cost-effective strategy.
Cost-effectiveness of four age-related mammographic screening strategies was evaluated. The MCYLS for all strategies was within a generally accepted range. With increasing concerns regarding the cost of health care, this information may be useful in health policy decision-making.
最近的几项研究提供了关于乳腺钼靶筛查益处的重要信息,尤其是在40至49岁年龄组。这些新信息使得重新评估筛查的成本效益变得很重要。
使用马尔可夫模型研究4种与年龄相关的筛查策略的成本效益:1)40至79岁每年筛查;2)40至64岁每年筛查,65至79岁每两年筛查;3)40至49岁每年筛查,50至79岁每两年筛查;4)高危女性(10%)40至79岁每年筛查,低危女性(90%)40至49岁每两年筛查,50至79岁每年筛查。评估了一种模拟激素状态和雌激素暴露的额外策略。成本效益以每年挽救生命的边际成本(MCYLS)表示。
MCYLS从18,800美元到16,100美元不等。对于所有策略,这都在其他一般可接受的诊断和治疗性医疗程序的范围内。从成本效益最低的策略到成本效益最高的策略,MCYLS下降了14%。
评估了四种与年龄相关的乳腺钼靶筛查策略的成本效益。所有策略的MCYLS都在一般可接受的范围内。随着对医疗保健成本的日益关注,这些信息可能有助于卫生政策决策。