Bezdenezhnykh Tatiana, O'Mahony James, Jacob Benjamin, Murray Deirdre, Ryan Daniel, Naidoo Jarushka, Cotter Seamus, Smith Alan, Redmond Patrick
General Practice, Royal College of Surgeons in Ireland, Dublin, Leinster, Ireland.
School of Economics, University College Dublin, Dublin, Leinster, Ireland.
HRB Open Res. 2025 Apr 15;8:55. doi: 10.12688/hrbopenres.14126.1. eCollection 2025.
Lung cancer (LC) is the leading cause of cancer death in Ireland, yet no national screening programme exists. While low-dose computed tomography (LDCT) screening reduces lung cancer mortality by approximately 20% in high-risk populations, its cost-effectiveness in Ireland remains uncertain. Evidence on the economic burden of lung cancer care and the feasibility of screening is needed to support policy decisions.
This research programme will evaluate the economic impact of lung cancer care in Ireland and assess the cost-effectiveness of LDCT screening. By integrating screening eligibility modelling, stage-specific cost analysis, and economic evaluation, the study aims to generate evidence to support resource allocation and policy development.
The programme consists of three interlinked work packages. First, screening eligibility will be estimated using a dynamic Markov model that integrates demographic data from the Central Statistics Office (CSO), population projections, and smoking history data from Eurobarometer. Second, a stage-specific cost analysis will be conducted using a discrete event simulation (DES) model informed by data from the National Cancer Registry Ireland (NCRI), the Healthcare Pricing Office (HPO), and other healthcare reimbursement sources. Third, a cost-effectiveness analysis will adapt a UK-based LC natural history model (Snowsill, 2018) to evaluate alternative screening strategies, incorporating Irish-specific costs, clinical outcomes, and quality-adjusted life-years (QALYs).
This programme will generate evidence to inform the design of a cost-effective LCS programme in Ireland. Findings will guide healthcare planning, optimise screening strategies, and support sustainable policy decisions.
肺癌是爱尔兰癌症死亡的主要原因,但该国尚无全国性筛查计划。虽然低剂量计算机断层扫描(LDCT)筛查可使高危人群的肺癌死亡率降低约20%,但其在爱尔兰的成本效益仍不确定。需要有关肺癌护理经济负担和筛查可行性的证据来支持政策决策。
本研究项目将评估爱尔兰肺癌护理的经济影响,并评估LDCT筛查的成本效益。通过整合筛查资格建模、特定阶段成本分析和经济评估,该研究旨在生成证据以支持资源分配和政策制定。
该项目由三个相互关联的工作包组成。首先,将使用动态马尔可夫模型估计筛查资格,该模型整合了中央统计局(CSO)的人口统计数据、人口预测以及欧洲晴雨表的吸烟史数据。其次,将使用离散事件模拟(DES)模型进行特定阶段成本分析,该模型依据爱尔兰国家癌症登记处(NCRI)、医疗保健定价办公室(HPO)和其他医疗保健报销来源的数据。第三,成本效益分析将采用基于英国的肺癌自然史模型(斯诺西尔,2018年)来评估替代筛查策略,纳入爱尔兰特定的成本、临床结果和质量调整生命年(QALY)。
该项目将生成证据,为爱尔兰具有成本效益的肺癌筛查计划的设计提供信息。研究结果将指导医疗保健规划、优化筛查策略并支持可持续的政策决策。