澳大利亚的基因组测试:从医疗保健系统的角度使用扩散建模进行预算影响分析
Dylan A Mordaunt1, Zornitza Stark2, Adam G Elshaug3
1Faculty of Health, Victoria University of Wellington, New Zealand; Centre for Health Policy, University of Melbourne, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Australia.
概括
在澳大利亚实施一线基因组测试可以提高罕见疾病诊断和控制成本. 一个一线的外基因组/基因组测序策略比扩大二线的资格更具成本效益.
科学领域:
- 基因组学就是基因组学.
- 卫生经济学 卫生经济学
- 罕见疾病 罕见疾病
背景情况:
- 基因组测试加速了罕见疾病的诊断,但在澳大利亚临床采用速度缓慢.
- 当前的资金政策和实施策略可能与临床需求不一致.
研究的目的:
- 评估澳大利亚不同基因组测试实施策略对10年预算的影响.
- 为了比较现状的成本效益,扩展的二线和一线外基因组/基因组测序 (ES/GS) 方法.
主要方法:
- 分析澳大利亚医疗保险福利计划 (1993-2025) 索赔数据,用于七个罕见疾病组的基因组测试.
- 使用扩散建模 (Logistic,Gompertz,Bass函数) 和时间序列分析 (SARIMA) 来预测测试量.
- 场景包括现状,扩大二线测试和一线ES/GS取代染色体微阵列分析 (CMA) 和脆弱X (FMR1) 测试.
主要成果:
- 观察到的基因组测试量落后于预计的轨迹.
- 十年累计支出预测是:现状AUD 1.1M,扩大了第二线AUD 7.5M,第一线ES/GS AUD 6.2M.
- 由于有效的诊断途径,一线ES/GS的累计成本低于扩展的二线测试,尽管每次测试价格较高,但由于高效的诊断途径.
结论:
- 目前的标志性资金导致采用速度比预期慢,潜在的预算不足.
- 一个符合CMA标准的一线基因组测试途径可以更好地满足临床需求和管理成本.
- 协调的资格标准和简化实施对于改善患者获取和医疗保健规划至关重要.
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