Tatiana Bezdenezhnykh, James O'Mahony, Benjamin Jacob, Deirdre Murray, Daniel Ryan, Jarushka Naidoo, Seamus Cotter, Alan Smith, Patrick Redmond
{"title":"爱尔兰LCS经济评估方案:建模成本、资格和结果。","authors":"Tatiana Bezdenezhnykh, James O'Mahony, Benjamin Jacob, Deirdre Murray, Daniel Ryan, Jarushka Naidoo, Seamus Cotter, Alan Smith, Patrick Redmond","doi":"10.12688/hrbopenres.14126.2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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 (updated ENaBL model 2022) to evaluate alternative screening strategies, incorporating Irish-specific costs, clinical outcomes, and quality-adjusted life-years (QALYs).</p><p><strong>Results and implications: </strong>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.</p>","PeriodicalId":73254,"journal":{"name":"HRB open research","volume":"8 ","pages":"55"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416482/pdf/","citationCount":"0","resultStr":"{\"title\":\"Protocol for the economic evaluation of LCS in Ireland: modelling costs, eligibility, and outcomes.\",\"authors\":\"Tatiana Bezdenezhnykh, James O'Mahony, Benjamin Jacob, Deirdre Murray, Daniel Ryan, Jarushka Naidoo, Seamus Cotter, Alan Smith, Patrick Redmond\",\"doi\":\"10.12688/hrbopenres.14126.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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 (updated ENaBL model 2022) to evaluate alternative screening strategies, incorporating Irish-specific costs, clinical outcomes, and quality-adjusted life-years (QALYs).</p><p><strong>Results and implications: </strong>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.</p>\",\"PeriodicalId\":73254,\"journal\":{\"name\":\"HRB open research\",\"volume\":\"8 \",\"pages\":\"55\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416482/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HRB open research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12688/hrbopenres.14126.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HRB open research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/hrbopenres.14126.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Protocol for the economic evaluation of LCS in Ireland: modelling costs, eligibility, and outcomes.
Background: 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.
Aim: 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.
Methods: 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 (updated ENaBL model 2022) to evaluate alternative screening strategies, incorporating Irish-specific costs, clinical outcomes, and quality-adjusted life-years (QALYs).
Results and implications: 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.