METHODS: All parameters for the Markov decision tree model, encompassing event probabilities, costs, and utilities (quality-adjusted life years, QALYs), were sourced from reputable literature, expert opinions, and official records. With 10,000 iterations, a 2-year cycle length, a 30-year time horizon, and a 2% annual discount rate, the analysis determined the incremental cost-effectiveness ratio (ICER) to compare the cost-effectiveness of the two screening methods. Probabilistic and one-way sensitivity analyses were also conducted to demonstrate the robustness of findings.
RESULTS: The ICER of DBT-MG compared to MG was US$5971.5764/QALYs. At a willingness-to-pay (WTP) threshold of US$33,004 (Gross Domestic Product of Taiwan in 2021) per QALY, more than 98% of the probabilistic simulations favored adopting DBT-MG versus MG. The one-way sensitivity analysis also shows that the ICER depended heavily on recall rates, biopsy rates, and positive predictive value (PPV2).
CONCLUSIONS: DBT-MG shows enhanced diagnostic efficacy, potentially diminishing recall costs. While exhibiting a higher biopsy rate, DBT-MG aids in the detection of early-stage breast cancers, reduces recall rates, and exhibits notably superior cost-effectiveness.
方法:马尔可夫决策树模型的所有参数,包括事件概率,成本,和公用事业(质量调整寿命年,QALYs),来自著名的文献,专家意见,官方记录。有10,000次迭代,一个2年的周期长度,30年的时间跨度,和2%的年折现率,分析确定了增量成本-效果比(ICER),以比较两种筛查方法的成本-效果.还进行了概率和单向敏感性分析,以证明研究结果的稳健性。
结果:与MG相比,DBT-MG的ICER为5971.5764美元/QALYs。在每个QALY的支付意愿(WTP)门槛为33,004美元(2021年台湾国内生产总值)时,超过98%的概率模拟赞成采用DBT-MG和MG。单向敏感性分析还表明,ICER在很大程度上依赖于召回率,活检率,和阳性预测值(PPV2)。
结论:DBT-MG显示出增强的诊断效能,潜在的召回成本下降。虽然显示出较高的活检率,DBT-MG有助于检测早期乳腺癌,降低召回率,并表现出明显的成本效益。