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  • Health Economic Decision Tree Models of Diagnostics for Dummies: A Pictorial Primer

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    Rautenberg392251Published.pdf (447.0Kb)
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    Version of Record (VoR)
    Author(s)
    Rautenberg, Tamlyn
    Gerritsen, Annette
    Downes, Martin
    Griffith University Author(s)
    Rautenberg, Tamlyn
    Downes, Martin J.
    Year published
    2020
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    Abstract
    Health economics is a discipline of economics applied to health care. One method used in health economics is decision tree modelling, which extrapolates the cost and effectiveness of competing interventions over time. Such decision tree models are the basis of reimbursement decisions in countries using health technology assessment for decision making. In many instances, these competing interventions are diagnostic technologies. Despite a wealth of excellent resources describing the decision analysis of diagnostics, two critical errors persist: not including diagnostic test accuracy in the structure of decision trees and ...
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    Health economics is a discipline of economics applied to health care. One method used in health economics is decision tree modelling, which extrapolates the cost and effectiveness of competing interventions over time. Such decision tree models are the basis of reimbursement decisions in countries using health technology assessment for decision making. In many instances, these competing interventions are diagnostic technologies. Despite a wealth of excellent resources describing the decision analysis of diagnostics, two critical errors persist: not including diagnostic test accuracy in the structure of decision trees and treating sequential diagnostics as independent. These errors have consequences for the accuracy of model results, and thereby impact on decision making. This paper sets out to overcome these errors using color to link fundamental epidemiological calculations to decision tree models in a visually and intuitively appealing pictorial format. The paper is a must-read for modelers developing decision trees in the area of diagnostics for the first time and decision makers reviewing diagnostic reimbursement models
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    Journal Title
    Diagnostics
    Publisher URI
    https://www.mdpi.com/2075-4418/10/3/158
    DOI
    https://doi.org/10.3390/diagnostics10030158
    Copyright Statement
    © 2020 The Authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Health services and systems
    Public health
    Publication URI
    http://hdl.handle.net/10072/392337
    Collection
    • Journal articles

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