Nowak Sarah A, Parker Andrew M
Sarah A. Nowak is with the RAND Corporation, Engineering and Applied Sciences, Santa Monica, CA. Andrew M. Parker is with the RAND Corporation, Behavioral and Policy Sciences, Pittsburgh, PA.
Am J Public Health. 2014 Dec;104(12):2439-44. doi: 10.2105/AJPH.2014.302153. Epub 2014 Oct 16.
We estimated the effect of anecdotes of early-stage, screen-detected cancer for which screening was not lifesaving on the demand for mammography.
We constructed an agent-based model of mammography decisions, in which 10 000 agents that represent women aged 40 to 100 years were linked together on a social network, which was parameterized with a survey of 716 women conducted through the RAND American Life Panel. Our model represents a population in equilibrium, with demographics reflecting the current US population based on the most recent available census data.
The aggregate effect of women learning about 1 category of cancers-those that would be detected but would not be lethal in the absence of screening-was a 13.8 percentage point increase in annual screening rates.
Anecdotes of detection of early-stage cancers relayed through social networks may substantially increase demand for a screening test even when the detection through screening was nonlifesaving.
我们评估了早期筛查发现的癌症(筛查对其并无挽救生命作用)的轶事对乳腺钼靶检查需求的影响。
我们构建了一个基于主体的乳腺钼靶检查决策模型,其中代表40至100岁女性的10000个主体在一个社交网络上相互关联,该社交网络通过对716名女性进行的兰德美国生活面板调查进行参数化。我们的模型代表处于平衡状态的人群,其人口统计学特征根据最新可得的人口普查数据反映当前美国人口情况。
女性了解到一类癌症(即那些在未进行筛查时会被检测到但不会致命的癌症)的总体影响是年度筛查率提高了13.8个百分点。
通过社交网络传播的早期癌症检测轶事可能会大幅增加对筛查测试的需求,即使通过筛查进行的检测并无挽救生命的作用。