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Toss-Ups and Close Calls
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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- Basis for Making the Decision
- Acceptability Curves and Confidence Ellipses
- Beneficence
- Bioethics
- Choice Theories
- Construction of Values
- Cost-Benefit Analysis
- Cost-Comparison Analysis
- Cost-Consequence Analysis
- Cost-Effectiveness Analysis
- Cost-Minimization Analysis
- Cost-Utility Analysis
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- Evaluating Consequences
- Expected Utility Theory
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- Extended Dominance
- Health Production Function
- League Tables for Incremental Cost-Effectivenes: Ratios
- Marginal or Incremental Analysis, Cost-Effectiveness Ratio
- Monetary Value
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- Net Benefit Regression
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- Pharmacoeconomics
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- Rank-Dependent Utility Theory
- Return on Investment
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- Subjective Expected Utility Theory
- Toss-Ups and Close Calls
- Value-Based Insurance Design
- Welfare, Welfarism, and Extrawelfarism
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- Cost-Identification Analysis
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- Health Status Measurement, Reliability and Internal Consistency
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- Oncology Health-Related Quality of Life Assessment
- Outcomes Research
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- Report Cards, Hospitals and Physicians
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- SF-36 and SF-12 Health Surveys
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- Sickness Impact Profile
- Sunk Costs
- Impact or Weight or Utility of the Possible Outcomes
- Certainty Equivalent
- Chained Gamble
- Conjoint Analysis
- Contingent Valuation
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- Decomposed Measurement
- Disability-Adjusted Life Years (DALYs)
- Discounting
- Discrete Choice
- Disutility
- EuroQol (EQ-5D)
- Health Utilities Index Mark 2 and 3 (HUI2, HUI3)
- Healthy Years Equivalents
- Holistic Measurement
- Multi-Attribute Utility Theory
- Person Trade-Off
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- Quality-Adjusted Life Years (QALYs)
- Quality-Adjusted Time Without Symptoms or Toxicity (Q-TWiST)
- SMARTS and SMARTER
- Split Choice
- Utilities for Joint Health States
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- Other Techniques, Theories, and Tools
- Artificial Neural Networks
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- Bioinformatics
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- Decisions Faced by Hospital Ethics Committees
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- Government Perspective, General Healthcare
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- Rationing
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- Teaching Diagnostic Clinical Reasoning
- Technology Assessments
- Terminating Treatment, Physician Perspective
- Treatment Choices
- Trust in Healthcare
- The Psychology Underlying Decision Making
- Accountability
- Allais Paradox
- Associative Thinking
- Attention Limits
- Attraction Effect
- Automatic Thinking
- Axioms
- Biases in Human Prediction
- Bounded Rationality and Emotions
- Certainty Effect
- Cognitive Psychology and Processes
- Coincidence
- Computational Limitations
- Confirmation Bias
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- Conjunction Probability Error
- Context Effects
- Contextual Error
- Counterfactual Thinking
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- Decision Making and Affect
- Decision Modes
- Decision Psychology
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- Decision-Making Competence, Aging and Mental Status
- Deliberation and Choice Processes
- Developmental Theories
- Dual-Process Theory
- Dynamic Decision Making
- Editing, Segregation of Prospects
- Emotion and Choice
- Errors in Clinical Reasoning
- Experience and Evaluations
- Fear
- Frequency Estimation
- Fuzzy-Trace Theory
- Gain/Loss Framing Effects
- Gambles
- Hedonic Prediction and Relativism
- Heuristics
- Human Cognitive Systems
- Information Integration Theory
- Intuition Versus Analysis
- Irrational Persistence in Belief
- Judgment
- Judgment Modes
- Learning and Memory in Medical Training
- Lens Model
- Lottery
- Managing Variability and Uncertainty
- Memory Reconstruction
- Mental Accounting
- Minerva-DM
- Mood Effects
- Moral Factors
- Motivation
- Numeracy
- Overinclusive Thinking
- Pain
- Pattern Recognition
- Personality, Choices
- Preference Reversals
- Probability Errors
- Probability, Verbal Expressions of
- Problem Solving
- Procedural Invariance and Its Violations
- Prospect Theory
- Range-Frequency Theory
- Risk Attitude
- Risk Aversion
- Risk Communication
- Risk Perception
- Scaling
- Social Factors
- Social Judgment Theory
- Stigma Susceptibility
- Support Theory
- Uncertainty in Medical Decisions
- Unreliability of Memory
- Value Functions in Domains of Gains and Losses
- Worldviews
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