Jörgen Möller1, Sarah Davis2, Matt Stevenson2, J Jaime Caro3,4,5. 1. Modeling and Simulation, Evidera, 1 Butterwick, London, W6 8DL, UK. 2. School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK. 3. Epidemiology and Biostatistics, McGill University, 1020 Pine Avenue W, Montreal, H3A 1A2, Canada. jaime.caro@mcgill.ca. 4. Evidera, 500 Totten Pond Road, 5th Floor, Waltham, MA, 02451, USA. jaime.caro@mcgill.ca. 5. , 39 Bypass Road, Lincoln, MA, 01773, USA. jaime.caro@mcgill.ca.
Abstract
BACKGROUND: Modeling is an essential tool for health technology assessment, and various techniques for conceptualizing and implementing such models have been described. Recently, a new method has been proposed-the discretely integrated condition event or DICE simulation-that enables frequently employed approaches to be specified using a common, simple structure that can be entirely contained and executed within widely available spreadsheet software. To assess if a DICE simulation provides equivalent results to an existing discrete event simulation, a comparison was undertaken. METHODS: A model of osteoporosis and its management programmed entirely in Visual Basic for Applications and made public by the National Institute for Health and Care Excellence (NICE) Decision Support Unit was downloaded and used to guide construction of its DICE version in Microsoft Excel®. The DICE model was then run using the same inputs and settings, and the results were compared. RESULTS: The DICE version produced results that are nearly identical to the original ones, with differences that would not affect the decision direction of the incremental cost-effectiveness ratios (<1% discrepancy), despite the stochastic nature of the models. LIMITATION: The main limitation of the simple DICE version is its slow execution speed. CONCLUSIONS: DICE simulation did not alter the results and, thus, should provide a valid way to design and implement decision-analytic models without requiring specialized software or custom programming. Additional efforts need to be made to speed up execution.
BACKGROUND: Modeling is an essential tool for health technology assessment, and various techniques for conceptualizing and implementing such models have been described. Recently, a new method has been proposed-the discretely integrated condition event or DICE simulation-that enables frequently employed approaches to be specified using a common, simple structure that can be entirely contained and executed within widely available spreadsheet software. To assess if a DICE simulation provides equivalent results to an existing discrete event simulation, a comparison was undertaken. METHODS: A model of osteoporosis and its management programmed entirely in Visual Basic for Applications and made public by the National Institute for Health and Care Excellence (NICE) Decision Support Unit was downloaded and used to guide construction of its DICE version in Microsoft Excel®. The DICE model was then run using the same inputs and settings, and the results were compared. RESULTS: The DICE version produced results that are nearly identical to the original ones, with differences that would not affect the decision direction of the incremental cost-effectiveness ratios (<1% discrepancy), despite the stochastic nature of the models. LIMITATION: The main limitation of the simple DICE version is its slow execution speed. CONCLUSIONS: DICE simulation did not alter the results and, thus, should provide a valid way to design and implement decision-analytic models without requiring specialized software or custom programming. Additional efforts need to be made to speed up execution.
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Authors: Anuraag R Kansal; Odette S Reifsnider; Sarah B Brand; Neil Hawkins; Anna Coughlan; Shujun Li; Lael Cragin; Clark Paramore; Andrew C Dietz; J Jaime Caro Journal: J Mark Access Health Policy Date: 2021-06-07