Microcosting diagnostic genomic sequencing: A systematic review

Francisco Santos Gonzalez, Dylan Mordaunt, Zornitza Stark, Kim Dalziel, John Christodoulou, Ilias Goranitis

Research output: Contribution to journalReview articlepeer-review

10 Citations (Scopus)
55 Downloads (Pure)

Abstract

Purpose: 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. 

Methods: 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. 

Results: 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. 

Conclusion: 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.

Original languageEnglish
Article number100829
Number of pages10
JournalGENETICS IN MEDICINE
Volume25
Issue number6
Early online date16 Mar 2023
DOIs
Publication statusPublished - Jun 2023
Externally publishedYes

Keywords

  • Cancer
  • Genomic testing
  • Microcosting
  • Precision medicine
  • Rare diseases

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