Genomic Testing in Australia: A Budget Impact Analysis Using Diffusion Modelling from a Healthcare System Perspective.

IF 6 2区 医学 Q1 ECONOMICS
Dylan A Mordaunt, Zornitza Stark, Adam G Elshaug, Chris Schilling
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Abstract

Background: Genomic testing can shorten the diagnostic odyssey for people with rare diseases, yet clinical uptake has lagged funding policy in Australia. We evaluated the 10-year budget impact of alternative implementation strategies for publicly funded genomic testing using national claims data and diffusion modelling.

Methods: Monthly Medicare Benefits Schedule (MBS) claims (1993-2025) were analyzed for chromosomal microarray analysis (CMA), Fragile X (FMR1) testing, and genomic tests across seven rare-disease groups (syndromic and non-syndromic intellectual disability, neuromuscular, inherited cardiac, renal ciliopathies/tubulopathies, congenital hearing loss, mitochondrial). Logistic, Gompertz, and Bass diffusion functions and SARIMA were fitted to uptake and used to forecast 2025-2034 volumes. Scenarios included: status quo; broadened second-line eligibility; and first-line ES/GS replacing CMA/FMR1 (60:40 ES:GS). Costs used 1 July 2024 MBS schedule fees; results are in AUD.

Results: Observed genomic testing volumes were below diffusion-implied trajectories. Ten-year cumulative spending was: status quo AUD 1.1m; broadened second-line AUD 7.5m (incremental +6.4m vs status quo); and first-line ES/GS AUD 6.2m (incremental +5.1m). In 2028, status quo AUD 0.23m, second-line AUD 1.21m, first-line AUD 0.97m. ES/GS achieved lower cumulative spend than broadened second-line despite higher per-test fees, reflecting substitution from CMA/FMR1 and efficient diagnostic pathways.

Conclusions: Indication-by-indication funding has yielded slower-than-expected uptake and likely under-budgeting. A first-line genomic testing pathway, aligned with CMA criteria, could better match clinical need while constraining spend vs expanding second-line eligibility. Harmonized eligibility and streamlined implementation would improve access and planning.

基因组测试在澳大利亚:从医疗保健系统的角度使用扩散模型的预算影响分析。
背景:基因组检测可以缩短罕见病患者的诊断过程,但临床应用滞后于澳大利亚的资助政策。我们使用国家索赔数据和扩散模型评估了公共资助基因组检测的替代实施策略的10年预算影响。方法:对每月医疗保险福利计划(MBS)索赔(1993-2025)进行染色体微阵列分析(CMA)、脆性X染色体(FMR1)检测和基因组检测,涵盖7个罕见疾病组(综合征和非综合征性智力残疾、神经肌肉、遗传性心脏、肾纤毛病/小管病、先天性听力损失、线粒体)。Logistic、Gompertz和Bass扩散函数和SARIMA拟合了吸收量,并用于预测2025-2034年的产量。场景包括:现状;扩大二线资格;一线ES/GS取代CMA/FMR1 (60:40 ES:GS)。成本使用2024年7月1日MBS时间表费用;结果以澳元表示。结果:观察到的基因组检测量低于扩散隐含轨迹。十年累计支出为:现状110万澳元;扩大二线750万澳元(比现状增加640万澳元);一线ES/GS 620万澳元(增量+ 510万)。2028年,现状AUD 0.23m,二线AUD 121 m,一线AUD 0.97m。尽管每次检测费用较高,但ES/GS的累积支出低于扩大二线,这反映了CMA/FMR1的替代和有效的诊断途径。结论:各适应症的资金投入慢于预期,可能预算不足。与CMA标准一致的一线基因组检测途径可以更好地满足临床需求,同时限制支出,而不是扩大二线资格。统一的资格和精简的执行将改善获取和规划。
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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来源期刊
Value in Health
Value in Health 医学-卫生保健
CiteScore
6.90
自引率
6.70%
发文量
3064
审稿时长
3-8 weeks
期刊介绍: Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.
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