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Validation of a DICE Simulation Against a Discrete Event Simulation Implemented Entirely in Code
Jörgen Möller1, Sarah Davis2, Matt Stevenson2
1Modeling and Simulation, Evidera, 1 Butterwick, London, W6 8DL, UK.
Discretely Integrated Condition Event (DICE) simulation offers a valid alternative to complex modeling methods. This spreadsheet-based approach yields results comparable to traditional discrete event simulation, making health technology assessment more accessible.
Area of Science:
- Health Technology Assessment
- Computational Modeling
- Health Economics
Background:
- Modeling is crucial for health technology assessment (HTA).
- Various modeling techniques exist, but often require specialized software.
- Discretely Integrated Condition Event (DICE) simulation offers a novel, spreadsheet-based approach.
Purpose of the Study:
- To compare the results of a DICE simulation with a traditional discrete event simulation (DES).
- To assess the validity and applicability of the DICE simulation method in HTA.
Main Methods:
- A published discrete event simulation model for osteoporosis management was adapted.
- A DICE simulation model was developed in Microsoft Excel using the original model's structure.
- Both models were run with identical inputs and settings for comparison.
Main Results:
- The DICE simulation produced results nearly identical to the original DES model.
- Discrepancies in incremental cost-effectiveness ratios were less than 1%, not impacting decision direction.
- The DICE approach maintained the stochastic nature of the original model.
Conclusions:
- DICE simulation provides a valid alternative for designing and implementing decision-analytic models.
- This method eliminates the need for specialized software or custom programming.
- A key limitation is the slower execution speed of the DICE version, requiring further optimization.
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