Clinical Decision-Making (CDM) Cases Part I Practice Test

In decision-analytic framing, outcomes are weighted both by how likely they are and by how much the patient values them. This means each option is described with the probabilities of different results and the utility (or preference) the patient assigns to those results. The expected value for an option is the sum across all outcomes of probability times utility. The option that yields the highest expected value is considered the best choice, because it aligns the likelihood of outcomes with what matters most to the patient.

For example, if a treatment has a decent chance of improvement but also a notable risk of a painful side effect the patient dislikes greatly, the utility penalty for that side effect lowers the option’s EV, possibly making another option more favorable even if its clinical cure rate is lower. The other statements don’t fit this approach because EV-based decision making isn’t based solely on clinical outcomes, it uses probabilities, and patient preferences must influence decisions to determine the highest-EV option.