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Table 2 Overview of the decision framework and the modelling approaches covered within the respective frameworks

From: Systematic narrative review of decision frameworks to select the appropriate modelling approaches for health economic evaluations

References Country Generic or disease-specific framework Modelling approaches mentioned within the frameworks Notes (i.e. relating to semantics and terminology)
Decision tree Markov cohort model Markov microsimulation Discrete event simulation Agent-based models System dynamics Compartmental models
Jit and Brisson [6] United Kingdom; Canada Infectious-disease X X      X Static model aggregates decision tree and Markov cohort models; dynamic model refers specifically to compartmental models
Kim [8] USA Infectious disease X X X X X X X System dynamics models further separated into discrete difference equation, ordinary differential equations and partial differential equations models
Heeg [7] The Netherlands Generic X X X X     Markov microsimulation referred to as first-order Markov model
Stahl [13] USA Generic X X   X X X   Markov model, in this framework, does not distinguish between Markov cohort models and Markov microsimulations
Chick [11] France Generic X X X X   X   System dynamics model separated into finite difference model and ordinary differential equation (ODE). Markov microsimulation referred to as patient-level simulation DES includes both discrete event simulation and patients evolve on discrete-time grid. Decision tree described in many ways including: decision tree, stochastic decision tree, and stochastic decision tree with covariates
Cooper [12] United Kingdom Generic X X   X     
Brennan [10] United Kingdom Generic X X X X   X   Markov model also referred to as simulated Markov model. Markov microsimulation separated into simulated patient-level Markov model and individual event history model. System dynamics model also referred to as Markov chain models
Barton [9] United Kingdom Generic X X X X   X   Markov microsimulation referred to as individual sampling model
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