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Verification of Decision-Analytic Models for Health Economic Evaluations: An Overview

Erik J. Dasbach and Elamin H. Elbasha ()
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Erik J. Dasbach: Merck & Co. Inc.
Elamin H. Elbasha: Merck & Co. Inc.

PharmacoEconomics, 2017, vol. 35, issue 7, 673-683

Abstract: Abstract Decision-analytic models for cost-effectiveness analysis are developed in a variety of software packages where the accuracy of the computer code is seldom verified. Although modeling guidelines recommend using state-of-the-art quality assurance and control methods for software engineering to verify models, the fields of pharmacoeconomics and health technology assessment (HTA) have yet to establish and adopt guidance on how to verify health and economic models. The objective of this paper is to introduce to our field the variety of methods the software engineering field uses to verify that software performs as expected. We identify how many of these methods can be incorporated in the development process of decision-analytic models in order to reduce errors and increase transparency. Given the breadth of methods used in software engineering, we recommend a more in-depth initiative to be undertaken (e.g., by an ISPOR-SMDM Task Force) to define the best practices for model verification in our field and to accelerate adoption. Establishing a general guidance for verifying models will benefit the pharmacoeconomics and HTA communities by increasing accuracy of computer programming, transparency, accessibility, sharing, understandability, and trust of models.

Keywords: Health Technology Assessment; Unit Test; Probabilistic Sensitivity Analysis; Model Verification; Software Industry (search for similar items in EconPapers)
Date: 2017
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