Lei Wang, Hui Zheng, Lanfang Xia, Guomin Zhang, Fuzhen Wang, Zundong Yin, Huaqing Wang
{"title":"Cost-Effectiveness Analysis of Sequential Screening Strategies for Hepatitis B Virus Infection by Birth Cohort - China.","authors":"Lei Wang, Hui Zheng, Lanfang Xia, Guomin Zhang, Fuzhen Wang, Zundong Yin, Huaqing Wang","doi":"10.46234/ccdcw2025.096","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Eliminating hepatitis B virus (HBV) as a major public health threat is a global health priority that requires cost-effective screening strategies. This study evaluated the cost-effectiveness of sequential birth cohort HBV screening strategies in China.</p><p><strong>Methods: </strong>Using a Markov model, we compared five screening strategies with current practice, calculating HBV-related deaths averted, quality-adjusted life years (QALYs) gained, and incremental cost-effectiveness ratios (ICER). One-way deterministic and probabilistic sensitivity analyses were conducted to evaluate the robustness of the results.</p><p><strong>Results: </strong>The sequential birth cohort screening strategy (Sequential Screening 1: screening the 1991-2000 cohort in 2025-2026, the 1971-1990 cohort in 2027-2028, and the 1951-1970 cohort in 2029-2030) was the most cost-effective, with an ICER of 58,523 Chinese Yuan (CNY) per QALY at a willingness-to-pay threshold of three times the per-capita Gross Domestic Product (GDP). An alternative strategy that prioritized the 1951-1970 cohort in 2025-2026 averted the most HBV-related deaths (approximately 3.44 million) and gained 24.9 million QALYs, with an ICER of 60,113 CNY per QALY, also showing cost-effectiveness.</p><p><strong>Discussion: </strong>Our findings support sequential birth cohort screening as an optimal and innovative approach to achieving the WHO HBV elimination targets, offering evidence-informed guidance for policymakers to optimize screening programs and resource allocation.</p>","PeriodicalId":69039,"journal":{"name":"中国疾病预防控制中心周报","volume":"7 17","pages":"586-591"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12075484/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国疾病预防控制中心周报","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.46234/ccdcw2025.096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Eliminating hepatitis B virus (HBV) as a major public health threat is a global health priority that requires cost-effective screening strategies. This study evaluated the cost-effectiveness of sequential birth cohort HBV screening strategies in China.
Methods: Using a Markov model, we compared five screening strategies with current practice, calculating HBV-related deaths averted, quality-adjusted life years (QALYs) gained, and incremental cost-effectiveness ratios (ICER). One-way deterministic and probabilistic sensitivity analyses were conducted to evaluate the robustness of the results.
Results: The sequential birth cohort screening strategy (Sequential Screening 1: screening the 1991-2000 cohort in 2025-2026, the 1971-1990 cohort in 2027-2028, and the 1951-1970 cohort in 2029-2030) was the most cost-effective, with an ICER of 58,523 Chinese Yuan (CNY) per QALY at a willingness-to-pay threshold of three times the per-capita Gross Domestic Product (GDP). An alternative strategy that prioritized the 1951-1970 cohort in 2025-2026 averted the most HBV-related deaths (approximately 3.44 million) and gained 24.9 million QALYs, with an ICER of 60,113 CNY per QALY, also showing cost-effectiveness.
Discussion: Our findings support sequential birth cohort screening as an optimal and innovative approach to achieving the WHO HBV elimination targets, offering evidence-informed guidance for policymakers to optimize screening programs and resource allocation.