Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis

Abstract Background This study assessed the effectiveness and cost-effectiveness of breast cancer screening across rural and urban regions in China’s four economic zones. Methods Using a decision-analytic Markov model, we evaluated 5,280 scenarios involving different ages and screening technologies....

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Main Authors: Dachuang Zhou, Kejia Zhou, Wenjuan Wang, Hanqiao Shao, Hongliu Zhang, Wenxi Tang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Public Health
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Online Access:https://doi.org/10.1186/s12889-024-20867-1
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author Dachuang Zhou
Kejia Zhou
Wenjuan Wang
Hanqiao Shao
Hongliu Zhang
Wenxi Tang
author_facet Dachuang Zhou
Kejia Zhou
Wenjuan Wang
Hanqiao Shao
Hongliu Zhang
Wenxi Tang
author_sort Dachuang Zhou
collection DOAJ
description Abstract Background This study assessed the effectiveness and cost-effectiveness of breast cancer screening across rural and urban regions in China’s four economic zones. Methods Using a decision-analytic Markov model, we evaluated 5,280 scenarios involving different ages and screening technologies. The model followed individuals from birth through 100 yearly cycles in eight settings. Model parameters, such as incidence, transition rate, attendance and compliance rate, screening accuracy, utility, and mortality, were based on Chinese research and international data. Screening costs were calculated using median medical costs in the respective zones. The main outcome measured was incremental net benefit (INB) and incremental cost-effectiveness ratio (ICER), with sensitivity analyses to assess uncertainty. Results Using a willingness-to-pay threshold of three times the local per capita Gross domestic product (GDP), the recommended strategies varied across regions. However, annual screening of individuals aged 30–70 years with a combination of mammography (MAM) and computed tomography laser mammography (CTL) was the most cost-effective strategy for most regions. The incremental cost-effectiveness ratios (ICERs) of the most cost-effective strategies, compared to no intervention and status quo in China, ranged from US$5,173.31/QALY to US$18,551.27/QALY, and from US$-3,872.28 to US$17,804.59, respectively. Except for the rural central region, where the cost-effective strategy had suboptimal outcomes compared to status quo, the recommended strategies in the other seven regions could prevent 41.12–58.80% and 8.08–35.39% of advanced breast cancer cases, and 18.83–29.27% and 2.71–14.06% of breast cancer deaths, when compared to no screening and status quo, respectively. Sensitivity analysis indicated that the results were robust. Conclusion Our study identified cost-effective breast cancer screening strategies suitable for the rural and urban areas in China’s four major economic zones. These findings highlight the necessity of universal screening and the importance of optimizing strategies based on regional economic development and epidemiological characteristics. These insights are crucial for improving national breast cancer screening policies.
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spelling doaj-art-5e4c4e1f931d4018bca653656266c3a92025-01-26T12:56:24ZengBMCBMC Public Health1471-24582025-01-0125111010.1186/s12889-024-20867-1Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysisDachuang Zhou0Kejia Zhou1Wenjuan Wang2Hanqiao Shao3Hongliu Zhang4Wenxi Tang5Center for Pharmacoeconomics and Outcomes Research, China Pharmaceutical UniversityCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical UniversityCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical UniversityCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical UniversityCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical UniversityCenter for Pharmacoeconomics and Outcomes Research, China Pharmaceutical UniversityAbstract Background This study assessed the effectiveness and cost-effectiveness of breast cancer screening across rural and urban regions in China’s four economic zones. Methods Using a decision-analytic Markov model, we evaluated 5,280 scenarios involving different ages and screening technologies. The model followed individuals from birth through 100 yearly cycles in eight settings. Model parameters, such as incidence, transition rate, attendance and compliance rate, screening accuracy, utility, and mortality, were based on Chinese research and international data. Screening costs were calculated using median medical costs in the respective zones. The main outcome measured was incremental net benefit (INB) and incremental cost-effectiveness ratio (ICER), with sensitivity analyses to assess uncertainty. Results Using a willingness-to-pay threshold of three times the local per capita Gross domestic product (GDP), the recommended strategies varied across regions. However, annual screening of individuals aged 30–70 years with a combination of mammography (MAM) and computed tomography laser mammography (CTL) was the most cost-effective strategy for most regions. The incremental cost-effectiveness ratios (ICERs) of the most cost-effective strategies, compared to no intervention and status quo in China, ranged from US$5,173.31/QALY to US$18,551.27/QALY, and from US$-3,872.28 to US$17,804.59, respectively. Except for the rural central region, where the cost-effective strategy had suboptimal outcomes compared to status quo, the recommended strategies in the other seven regions could prevent 41.12–58.80% and 8.08–35.39% of advanced breast cancer cases, and 18.83–29.27% and 2.71–14.06% of breast cancer deaths, when compared to no screening and status quo, respectively. Sensitivity analysis indicated that the results were robust. Conclusion Our study identified cost-effective breast cancer screening strategies suitable for the rural and urban areas in China’s four major economic zones. These findings highlight the necessity of universal screening and the importance of optimizing strategies based on regional economic development and epidemiological characteristics. These insights are crucial for improving national breast cancer screening policies.https://doi.org/10.1186/s12889-024-20867-1Breast cancerHealth economicsCost-effectivenessChinaQuality-adjusted life years
spellingShingle Dachuang Zhou
Kejia Zhou
Wenjuan Wang
Hanqiao Shao
Hongliu Zhang
Wenxi Tang
Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis
BMC Public Health
Breast cancer
Health economics
Cost-effectiveness
China
Quality-adjusted life years
title Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis
title_full Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis
title_fullStr Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis
title_full_unstemmed Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis
title_short Comparing the cost-benefit of breast cancer screening programs in rural and urban areas across four economic zones in China: a Markov modeling analysis
title_sort comparing the cost benefit of breast cancer screening programs in rural and urban areas across four economic zones in china a markov modeling analysis
topic Breast cancer
Health economics
Cost-effectiveness
China
Quality-adjusted life years
url https://doi.org/10.1186/s12889-024-20867-1
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