Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Murdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, Victoria, Australia.
Australian Genomics Health Alliance, Melbourne, Victoria, Australia; Department of Paediatrics, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia; Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Genet Med. 2023 Jun;25(6):100829. doi: 10.1016/j.gim.2023.100829. Epub 2023 Mar 16.
Microcosting can provide valuable economic evidence to inform the translation of genomic sequencing to clinical practice. A systematic literature review was conducted to identify studies employing microcosting methods to estimate the cost of genomic sequencing to diagnose cancer and rare diseases.
Four electronic databases, Medline, Embase, EconLit, and Cumulated Index to Nursing and Allied Health Literature were searched. Reference lists of identified studies were also searched. Studies were included if they had estimated the cost of genome sequencing or exome sequencing for cancer or rare disease diagnosis using microcosting methods.
Seven studies met the inclusion criteria. Cost estimates for genome sequencing and exome sequencing ranged between US$2094 and $9706 and US$716 and $4817 per patient, respectively. All studies disaggregated resource use and cost inputs into labor, equipment, and consumables, with consumables being the main cost component. Considerable differences in the level of detail used to report the steps and resources used in each of the sequencing steps limited study comparisons.
Defining a standard microcosting methodology is challenging because of the heterogeneous nature of genomic sequencing. Reporting of detailed and complete sequencing procedures, inclusion of sensitivity analyses and clear justifications of resource use, and measurement of unit costs can improve comparability, transferability, and generalizability of study findings.
微观成本分析可以为将基因组测序转化为临床实践提供有价值的经济证据。本研究进行了系统的文献回顾,以确定采用微观成本分析方法来估算癌症和罕见病诊断中基因组测序成本的研究。
检索了四个电子数据库,包括 Medline、Embase、EconLit 和 Cumulated Index to Nursing and Allied Health Literature。还对已确定研究的参考文献进行了检索。如果研究使用微观成本分析方法来估算癌症或罕见病诊断的基因组测序或外显子组测序的成本,则将其纳入研究。
符合纳入标准的研究有 7 项。基因组测序和外显子组测序的成本估计值分别为每位患者 2094 美元至 9706 美元和 716 美元至 4817 美元。所有研究都将资源使用和成本投入细分为劳动力、设备和消耗品,消耗品是主要的成本组成部分。由于基因组测序的性质复杂,在报告每个测序步骤中使用的步骤和资源时,研究之间的差异较大,限制了研究之间的比较。
由于基因组测序的异质性,定义标准的微观成本分析方法具有挑战性。详细和完整地报告测序程序、纳入敏感性分析和明确资源使用的理由,并测量单位成本,可以提高研究结果的可比性、可转移性和普遍性。