Markov Model in Health Economics
A Markov model is a decision-analytic tool that simulates disease progression through defined health states over time, calculating cumulative costs and quality-adjusted life years (QALYs) to enable cost-effectiveness analysis. Developed by Beck and Pauker in 1983, Markov models are now the standard framework for projecting long-term outcomes of health interventions, especially chronic diseases where patients transition between clinical states (treatment response, disease progression, remission, death). Used by health technology assessment bodies and pharmaceutical companies to predict intervention value beyond trial duration.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Beck, J. R., & Pauker, S. G. (1983). The Markov Process in Medical Prognosis. Medical Decision Making, 3(4), 419-458. · DOI 10.1177/0272989X8300300403
- Sonnenberg, F. A., & Beck, J. R. (1993). Markov Models in Medical Decision Making: A Practical Guide. Medical Decision Making, 13(4), 322-338. · DOI 10.1177/0272989X9301300409
- Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the Economic Evaluation of Health Care Programmes (4th ed.). Oxford: Oxford University Press. · URL
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