RCSI University of Medicine and Health Sciences, Dublin, Ireland; Health Information and Quality Authority, Dublin, Ireland.
Health Information and Quality Authority, Dublin, Ireland.
Value Health. 2022 Dec;25(12):1947-1957. doi: 10.1016/j.jval.2022.05.010. Epub 2022 Jun 28.
We aimed to evaluate the cost-effectiveness of offering once-off birth cohort testing for hepatitis C virus (HCV) to people in Ireland born between 1965 and 1985, the cohort with the highest reported prevalence of undiagnosed chronic HCV infection.
Systematic and opportunistic HCV birth cohort testing programs, implemented over a 4-year timeframe, were compared with the current practice of population risk-based testing only in a closed-cohort decision tree and Markov model hybrid over a lifetime time horizon. Outcomes were expressed in quality-adjusted life-years (QALYs). Costs were presented from the health system's perspective in 2020 euro (€). Uncertainty was assessed via deterministic, probabilistic, scenario, and threshold analyses.
In the base case, systematic testing yielded the largest cost and health benefits, followed by opportunistic testing and risk-based testing. Compared with risk-based testing, the incremental cost-effectiveness ratio for opportunistic testing was €14 586 (95% confidence interval €4185-€33 527) per QALY gained. Compared with opportunistic testing, the incremental cost-effectiveness ratio for systematic testing was €16 827 (95% confidence interval €5106-€38 843) per QALY gained. These findings were robust across a range of sensitivity analyses.
Both systematic and opportunistic birth cohort testing would be considered an efficient use of resources, but systematic testing was the optimal strategy at willingness-to-pay threshold values typically used in Ireland. Although cost-effective, any decision to introduce birth cohort testing for HCV (in Ireland or elsewhere) must be balanced with considerations regarding the feasibility and budget impact of implementing a national testing program given high initial costs and resource use.
我们旨在评估向爱尔兰在 1965 年至 1985 年间出生的人群提供一次性乙型肝炎病毒(HCV)出生队列检测的成本效益,这些人群的未确诊慢性 HCV 感染率最高。
在整个队列的决策树和马尔可夫模型混合模型中,比较了在 4 年内实施的系统性和机会性 HCV 出生队列检测计划与目前仅基于人群风险的检测的情况。结果以质量调整生命年(QALY)表示。成本从卫生系统的角度在 2020 年欧元(€)表示。通过确定性、概率、情景和阈值分析评估不确定性。
在基准情况下,系统性检测产生的成本和健康效益最大,其次是机会性检测和基于风险的检测。与基于风险的检测相比,机会性检测的增量成本效益比为每获得一个 QALY 增加€14586(95%置信区间为€4185-€33527)。与机会性检测相比,系统性检测的增量成本效益比为每获得一个 QALY 增加€16827(95%置信区间为€5106-€38843)。这些发现在一系列敏感性分析中是稳健的。
系统性和机会性出生队列检测都是资源的有效利用,但在爱尔兰等国家通常使用的支付意愿阈值范围内,系统性检测是最佳策略。尽管具有成本效益,但在考虑到实施全国性检测计划的可行性和预算影响时,必须权衡引入 HCV 出生队列检测(在爱尔兰或其他地方)的决策,因为初始成本和资源使用较高。