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The term toss-up has different senses in the different contexts in which it is used. In a more technical sense, it is best understood in terms of the flip of a fair coin, where the chance of heads coming up is 50:50 and the chance of tails coming up is also 50:50. The term close call has more variation in the medical literature; for example, in the peer-reviewed scientific medical literature, a close call can be interpreted as a near miss in relation to patient safety—for example, during a surgical operation. Yet some individuals may interpret the term close call to reflect a decision to be made where the separation of a chance of a benefit accruing to a patient from one of two treatments being compared is, say, 48:52 and not strictly a 50:50 decision between the two treatments.

There are also other senses of the term toss-up. In some contexts, it can reflect an unpredictable situation of decision making—for example, in a population, as in an election or any process involving the counting of secret ballots, or in voting, such as on a medical, mental health, surgical, or other ward team. Or there are mixed cases, where, for example, it may not be clear in an individual's care what is the optimal treatment for the patient or which way a vote among medical team members with mixed opinions on what is the best strategy would go if a vote were taken.

In other contexts of speech in medicine, the term toss-up simply may be used in an even more general sense to refer to any unpredictable situation and the fact underlying the opinion that there is no systematic way to adequately determine what is optimal care in the patient at a particular time. Jerome Kassirer and Stephen Pauker point to this last sense of the term toss-up, where—after careful systematic assessment of the peer-reviewed scientific medical literature and the clinical experience of physicians—the evidence reviewed and assessed shows that there is no difference between treatments and the result is still the same. Thus, the treatments are considered a toss-up from the standpoint of the published peer-reviewed scientific medical literature and a toss-up from the standpoint of clinicians' opinions.

The contemporary published peer-reviewed scientific medical literature contains examples of decisions that are described as “a virtual toss-up” in the areas of screening, diagnostic, and treatment decisions.

Close-Call versus Clear-Cut Decision Making

Close-call decision making has been separated from more clear-cut decision making and linked to cognitive biases in decision making. Andrea Gurmankin Levy and John C. Hershey studied what they termed value-induced bias. They asked volunteers to imagine a serious illness with two possible diagnoses and a treatment with the “same probability” of success for each diagnosis. The authors designed the more serious diagnosis as a clear-cut decision to motivate most subjects to choose treatment. The authors designated the less serious diagnosis a close-call choice. Study participants were randomized to estimate the probability of treatment success before or after learning their diagnosis. The “after” group had the motivation and the ability to distort the probability of treatment success in order to justify their treatment preference. The authors found that in the close-call decision making (but not in clear-cut decision making), individuals may distort relevant probabilities to justify their preferred choices. The authors further argue that those individuals who exhibit value-induced bias in close-call decision making may make suboptimal decisions by distorting relevant probabilities to justify the medical decisions made. This suggests that medical decision making in close-call (or toss-up) decisions is different from decisions that appear to be clear-cut. But there is much more to understand about such apparent toss-ups.

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