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R You Still Using Excel? The Advantages of Modern Software Tools for Health Technology Assessment

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)575-579
Number of pages5
JournalValue in Health
Volume22
Issue number5
Early online date17 May 2019
DOIs
DateAccepted/In press - 18 Jan 2019
DateE-pub ahead of print - 17 May 2019
DatePublished (current) - May 2019

Abstract

Economic models are used in health technology assessments (HTAs) to evaluate the cost-effectiveness of competing medical technologies and inform the efficient use of healthcare resources. Historically, these models have been developed with specialized commercial software (such as TreeAge) or more commonly with spreadsheet software (almost always Microsoft Excel). Although these tools may be sufficient for relatively simple analyses, they put unnecessary constraints on the analysis that may ultimately limit its credibility and relevance. In contrast, modern programming languages such as R, Python, Matlab, and Julia facilitate the development of models that are (i) clinically realistic, (ii) capable of quantifying decision uncertainty, (iii) transparent and reproducible, and (iv) reusable and adaptable. An HTA environment that encourages use of modern software can therefore help ensure that coverage and pricing decisions confer greatest possible benefit and capture all scientific uncertainty, thus enabling correct prioritization of future research.

    Research areas

  • cost-effectiveness analysis, HTA, R, software

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://doi.org/10.1016/j.jval.2019.01.003 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 256 KB, PDF-document

    Embargo ends: 17/05/20

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    Licence: CC BY-NC-ND

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