State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3

• DOI: 10.1016/j.jval.2012.06.014
• Publication Date: 2012-09-18T12:15:51Z
• Authors: Uwe Siebert; Oguzhan Alagoz; Ahmed M. Bayoumi; Beate Jahn; Douglas K. Owens; David J. Cohen; Karen M. Kuntz
• Keywords: Guideline; Decision model

State-transition modeling (STM) is an intuitive, flexible, and transparent approach of computer-based decision-analytic modeling, including both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. Conceptualizing a decision problem in terms of a set of (health) states and transitions among these states, STM is one of the most widespread modeling techniques in clinical decision analysis, health technology assessment, and health-economic evaluation. STMs have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs.