Validation of a DICE Simulation Against a Discrete Event Simulation Implemented Entirely in Code

被引:8
|
作者
Moller, Jorgen [1 ]
Davis, Sarah [2 ]
Stevenson, Matt [2 ]
Caro, J. Jaime [3 ,4 ,5 ]
机构
[1] Evidera, Modeling & Simulat, 1 Butterwick, London W6 8DL, England
[2] Univ Sheffield, Sch Hlth & Related Res, 30 Regent St, Sheffield S1 4DA, S Yorkshire, England
[3] McGill Univ, Epidemiol & Biostat, 1020 Pine Ave W, Montreal, PQ H3A 1A2, Canada
[4] Evidera, 500 Totten Pond Rd,5th Floor, Waltham, MA 02451 USA
[5] 39 Bypass Rd, Lincoln, MA 01773 USA
关键词
HEALTH TECHNOLOGY-ASSESSMENT; COST-EFFECTIVENESS; MODELS; PHARMACOECONOMICS;
D O I
10.1007/s40273-017-0534-0
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. 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(A (R)). The DICE model was then run using the same inputs and settings, and the results were compared. 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. The main limitation of the simple DICE version is its slow execution speed. 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.
引用
收藏
页码:1103 / 1109
页数:7
相关论文
共 50 条
  • [1] Discrete-Event Simulation in Healthcare Settings: A Review
    Forbus, John J.
    Berleant, Daniel
    MODELLING, 2022, 3 (04): : 417 - 433
  • [2] Modeling Complex Treatment Strategies: Construction and Validation of a Discrete Event Simulation Model for Glaucoma
    van Gestel, Aukje
    Severens, Johan L.
    Webers, Carroll A. B.
    Beckers, Henny J. M.
    Jansonius, Nomdo M.
    Schouten, Jan S. A. G.
    VALUE IN HEALTH, 2010, 13 (04) : 358 - 367
  • [3] Modeling Clinical Outcomes in Prostate Cancer: Application and Validation of the Discrete Event Simulation Approach
    Pan, Feng
    Reifsnider, Odette
    Zheng, Ying
    Proskorovsky, Irina
    Li, Tracy
    He, Jianming
    Sorensen, Sonja V.
    VALUE IN HEALTH, 2018, 21 (04) : 416 - 422
  • [4] Discrete-event simulation is alive and kicking!
    Brailsford, Sally
    JOURNAL OF SIMULATION, 2014, 8 (01) : 1 - 8
  • [5] Comparison of Markov Model and Discrete-Event Simulation Techniques for HIV
    Simpson, Kit N.
    Strassburger, Alvin
    Jones, Walter J.
    Dietz, Birgitta
    Rajagopalan, Rukmini
    PHARMACOECONOMICS, 2009, 27 (02) : 159 - 165
  • [6] Advantages and disadvantages of discrete-event simulation for health economic analyses
    Caro, J. Jaime
    Moller, Jorgen
    EXPERT REVIEW OF PHARMACOECONOMICS & OUTCOMES RESEARCH, 2016, 16 (03) : 327 - 329
  • [7] Quality Improvement With Discrete Event Simulation: A Primer for Radiologists
    Booker, Michael T.
    O'Connell, Ryan J.
    Desai, Bhushan
    Duddalwar, Vinay A.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2016, 13 (04) : 417 - 423
  • [8] Comparison of System Dynamics and Discrete Event Simulation Approaches
    Gonul-Sezer, Eylul Damla
    Ocak, Zeynep
    SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SIMULTECH 2015), 2016, 442 : 69 - 81
  • [9] Simulation of plasma turbulence in scrape-off layer conditions: the GBS code, simulation results and code validation
    Ricci, P.
    Halpern, F. D.
    Jolliet, S.
    Loizu, J.
    Mosetto, A.
    Fasoli, A.
    Furno, I.
    Theiler, C.
    PLASMA PHYSICS AND CONTROLLED FUSION, 2012, 54 (12)
  • [10] Availability simulation and transfer prediction for bike sharing systems based on discrete event simulation
    Zhou, Yu
    Chen, Yang
    Liu, Shenyan
    Kou, Gang
    SOCIO-ECONOMIC PLANNING SCIENCES, 2024, 94