伊朗妇女三轮乳房 X 射线照相术乳腺癌筛查的成本效益。

Iranian journal of cancer prevention Pub Date : 2016-02-23 eCollection Date: 2016-02-01 DOI:10.17795/ijcp-5443
Shahpar Haghighat, Mohammad Esmaeil Akbari, Parvin Yavari, Mehdi Javanbakht, Shahram Ghaffari
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摘要

背景与全球一样,乳腺癌是伊朗妇女最常见的癌症。乳房 X 射线照相筛查是降低该疾病死亡率和发病率的有效方法:我们建立了一个分析模型,以评估伊朗为早期发现乳腺癌而组织的乳房 X 射线照相筛查项目的成本效益:本研究是对伊朗 40-70 岁妇女乳腺 X 射线摄影筛查项目的经济评估。应用决策树和马尔可夫模型估算了总质量调整生命年(QALY)和终生成本:结果显示,第一轮伊朗妇女乳腺 X 射线摄影筛查的增量成本效益比(ICER)为每 QALY 37,350 英镑。模型显示,第二轮和第三轮筛查计划的 ICER 分别为 141,641 英镑和 389,148 英镑:研究结果表明,在 53% 的病例中,乳腺 X 线照相筛查计划具有成本效益,但第二轮和第三轮筛查的每 QALY 增量成本远远高于伊朗医疗系统接受的支付门槛。因此,对其他筛查策略进行评估将有助于确定更具成本效益的方案。未来利用新的国家数据进行的研究可以提高我们研究结果的准确性,并为卫生决策者提供更好的决策信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Cost-Effectiveness of Three Rounds of Mammography Breast Cancer Screening in Iranian Women.

Background: Breast cancer is the most common cancer in Iranian women as is worldwide. Mammography screening has been introduced as a beneficial method for reducing mortality and morbidity of this disease.

Objectives: We developed an analytical model to assess the cost effectiveness of an organized mammography screening program in Iran for early detection of the breast cancer.

Patients and methods: This study is an economic evaluation of mammography screening program among Iranian woman aged 40 - 70 years. A decision tree and Markov model were applied to estimate total quality adjusted life years (QALY) and lifetime costs.

Results: The results revealed that the incremental cost effectiveness ratio (ICER) of mammography screening in Iranian women in the first round was Int. $ 37,350 per QALY gained. The model showed that the ICER in the second and third rounds of screening program were Int. $ 141,641 and Int. $ 389,148 respectively.

Conclusions: Study results identified that mammography screening program was cost-effective in 53% of the cases, but incremental cost per QALY in the second and third rounds of screening are much higher than the accepted payment threshold of Iranian health system. Thus, evaluation of other screening strategies would be useful to identify more cost-effective program. Future studies with new national data can improve the accuracy of our finding and provide better information for health policy makers for decision making.

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