Surgical patients and clinicians are often faced with the challenge of choosing between a surgical or medical approach to a disease or choosing between 2 available surgical approaches (often one more invasive than the other). In transplant surgery, these decisions can be particularly challenging in the context of deciding whether to accept an organ offer or wait for a better offer. Decision analysis seeks to inform these challenging decisions in a data-driven manner, ranging from simple observational comparisons among available options1 to sophisticated stochastic decision process models (Markov models) that integrate multiple data sources to evaluate scenarios that have not yet been (adequately) observed.2 Ultimately, these strategies facilitate the development of data-driven tools that can hopefully assist in the shared decision-making process between patients and their clinicians (examples: http://www.transplantmodels.com).
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Segev DL, Haukoos JS, Pawlik TM. Practical Guide to Decision Analysis. JAMA Surg. Published online January 29, 2020. doi:10.1001/jamasurg.2019.5377
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