Centre for Health Economics, University of York, York, United Kingdom.
Munich Center of Health Sciences, Ludwig-Maximilians-Universität, Munich, Germany.
PLoS One. 2019 May 23;14(5):e0217213. doi: 10.1371/journal.pone.0217213. eCollection 2019.
Risk stratification has so far been evaluated under the assumption that women fully adhere to screening recommendations. However, the participation in German cancer screening programs remains low at 54%. The question arises whether risk-stratified screening is economically efficient under the assumption that adherence is not perfect.
We have adapted a micro-simulation Markov model to the German context. Annual, biennial, and triennial routine screening are compared with five risk-adapted strategies using thresholds of relative risk to stratify screening frequencies. We used three outcome variables (mortality reduction, quality-adjusted life years, and false-positive results) under the assumption of full adherence vs. an adherence rate of 54%. Strategies are evaluated using efficiency frontiers and probabilistic sensitivity analysis (PSA).
The reduced adherence rate affects both performance and cost; incremental cost-effectiveness ratios remain constant. The results of PSA show that risk-stratified screening strategies are more efficient than biennial routine screening under certain conditions. At any willingness-to-pay (WTP), there is a risk-stratified alternative with a higher likelihood of being the best choice. However, without explicit decision criteria and WTP, risk-stratified screening is not more efficient than biennial routine screening. Potential improvements in the adherence rates have significant health gains and budgetary implications.
If the participation rate for mammographic screening is as low as in Germany, stratified screening is not clearly more efficient than routine screening but dependent on the WTP. A more promising design for future stratified strategies is the combination of risk stratification mechanisms with interventions to improve the low adherence in selected high-risk groups.
迄今为止,风险分层评估一直假设女性完全遵循筛查建议。然而,德国癌症筛查计划的参与率仍然很低,仅为 54%。问题是,在假设依从性不完美的情况下,风险分层筛查是否具有经济效率。
我们根据德国的具体情况对微观模拟马尔可夫模型进行了调整。对年度、每两年一次和每三年一次的常规筛查与五种风险适应策略进行了比较,这些策略使用相对风险阈值来分层筛查频率。我们假设完全依从(依从率为 100%)和 54%的依从率两种情况下,使用三个结果变量(死亡率降低、质量调整生命年和假阳性结果)进行了评估。使用效率边界和概率敏感性分析(PSA)来评估策略。
依从率的降低会影响表现和成本;增量成本效益比保持不变。PSA 的结果表明,在某些条件下,风险分层筛查策略比每两年一次的常规筛查更有效。在任何意愿支付(WTP)水平下,都有一种风险分层替代方案更有可能成为最佳选择。然而,如果没有明确的决策标准和 WTP,风险分层筛查并不比每两年一次的常规筛查更有效。依从率的潜在提高将带来显著的健康收益和预算影响。
如果乳腺筛查的参与率像德国一样低,那么分层筛查并不明显比常规筛查更有效,但取决于 WTP。对于未来分层策略更有前途的设计是将风险分层机制与干预措施相结合,以提高特定高风险人群中的低依从率。