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Managing Variability and Uncertainty
Clinical decision making involves the use of diverse strategies to generate and test potential solutions for problems that are presented by patients. It involves using, acquiring, and interpreting the indicators and then generating and evaluating hypotheses. Most health decisions occur in contexts of scientific uncertainty. Thus, the notion of uncertainty should be at the heart of exchanges between professionals and their patients. Accordingly, the failure to integrate the concept of uncertainty in routine medical practice remains a major obstacle to informed decisions by patients.
The first section of this entry reviews the definition of the concepts of variability and uncertainty and makes the distinction with other similar concepts. The second section briefly summarizes how physicians understand and react to uncertainty. It also proposes potential strategies to alleviate the burden of managing uncertainty in routine clinical decision making. The last section highlights the gaps in knowledge and areas for further research.
Definitions
If ignorance is defined as an absence of knowledge of the available issues or options as well as of their probability, uncertainty is defined as knowledge of the issues or options available but with an absence of the knowledge of their probability. Risk is the concept of variability is distinguished from that of uncertainty and refers to the heterogeneity of subjects included in analyses. Although the distinction between variability and uncertainty has clear implications from a decision analysis perspective, for clinicians and their patients, variability is only one of the many sources of uncertainty.
Types of Uncertainty
Diagnosis and management of health problems are full of uncertainty. Sometimes, the probabilistic nature of the diagnosis made by physicians makes it difficult to choose the “best” course of action. Scientific evidence that imparts conflicting results regarding treatment options (i.e., balance between risks and benefits) or the absence or insufficiency of scientific evidence makes this choice even more difficult. Moreover, the probabilistic aspect of the evidence that is drawn from populations implies uncertain outcomes for the individual. Conse quently, patients and physicians need help in addressing their decisional needs and in resolving uncertainty when making decisions.
Physicians' Reaction to Uncertainty
Both patients and their physicians have difficulty grasping the concept of uncertainty, specifically when dealing with numbers and probabilities. Physicians express concerns with communicating risk to patients and may not have the necessary skills to do it. In brief, the medical problem and the characteristics of the patient create the uncertainty inherent in the clinical encounter. The characteristics of physicians influence their reaction to uncertainty. In turn, the decision-making process occurring during the clinical encounter between a patient and a physician is under the influence of the uncertainty inherent in the clinical encounter and of the physician's reactions to uncertainty. Patients and physicians interact to produce a set of decisions that in some cases will be translated into physicians' behavior. The decision outcome and, on some occasions, the physician's behavior may be modified by external sources such as source of payment, setting of the practice, and so on. The reaction of physicians to uncertainty is composed of four main constructs: anxiety due to uncertainty, concern about bad outcomes, reluctance to disclose uncertainty to patients, and reluctance to disclose mistakes to other physicians. The reaction of physicians toward uncertainty was shown to be significantly associated with disclosure of uncertainty by physicians to patients during clinical encounters, resource use and costs, and the intention of physicians to engage in shared decision making. Therefore, strategies to alleviate the burden of managing uncertainty in clinical decision making are of utmost importance in ensuring quality of care, patient safety, and control of costs for the healthcare system.
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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
- Decision Quality
- Distributive Justice
- Dominance
- Equity
- Evaluating Consequences
- Expected Utility Theory
- Expected Value of Perfect Information
- Extended Dominance
- Health Production Function
- League Tables for Incremental Cost-Effectivenes: Ratios
- Marginal or Incremental Analysis, Cost-Effectiveness Ratio
- Monetary Value
- Moral Choice and Public Policy
- Net Benefit Regression
- Net Monetary Benefit
- Nonexpected Utility Theories
- Pharmacoeconomics
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- Subjective Expected Utility Theory
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- Biostatistics and Clinical Epidemiology
- Analysis of Covariance (ANCOVA)
- Analysis of Variance (ANOVA)
- Attributable Risk
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- Bayes's Theorem
- Bayesian Analysis
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- Bias
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- Brier Scores
- Calibration
- Case Control
- Causal Inference and Diagrams
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- Conditional Independence
- Conditional Probability
- Confidence Intervals
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- Cox Proportional Hazards Regression
- Decision Rules
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- Distributions: Overview
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- Measures of Central Tendency
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- Measures of Variability
- Meta-Analysis and Literature Review
- Mixed and Indirect Comparisons
- Multivariate Analysis of Variance (MANOVA)
- Nomograms
- Number Needed to Treat
- Odds and Odds Ratio, Risk Ratio
- Ordinary Least Squares Regression
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- Positivity Criterion and Cutoff Values
- Prediction Rules and Modeling
- Probability
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- Randomized Clinical Trials
- Receiver Operating Characteristic (ROC) Curve
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- Regression to the Mean
- Sample Size and Power
- Screening Programs
- Statistical Notations
- Statistical Testing: Overview
- Subjective Probability
- Subset Analysis: Insights and Pitfalls
- Survival Analysis
- Tables, Two-by-Two and Contingency
- Variance and Covariance
- Violations of Probability Theory
- Weighted Least Squares
- Decision Analysis and Related Mathematical Models
- Applied Decision Analysis
- Boolean Algebra and Nodes
- Decision Analyses, Common Errors Made in Conducting
- Decision Curve Analysis
- Decision Tree: Introduction
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- Decision Trees, Evaluation
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- Decision Trees: Sensitivity Analysis, Basic and Probabilistic
- Decision Trees: Sensitivity Analysis, Deterministic
- Declining Exponential Approximation of Life Expectancy
- Deterministic Analysis
- Discrete-Event Simulation
- Disease Management Simulation Modeling
- Expected Value of Sample Information, Net Benefit of Sampling
- Influence Diagrams
- Markov Models
- Markov Models, Applications to Medical Decision Making
- Markov Models, Cycles
- Markov Processes
- Reference Case
- Steady-State Models
- Stochastic Medical Informatics
- Subtrees, Use in Constructing Decision Trees
- Test-Treatment Threshold
- Time Horizon
- Tornado Diagram
- Tree Structure, Advanced Techniques
- Health Outcomes and Measurement
- Complications or Adverse Effects of Treatment
- Cost-Identification Analysis
- Costs, Direct Versus Indirect
- Costs, Fixed Versus Variable
- Costs, Opportunity
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- Costs, Semifixed Versus Semivariable
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- Economics, Health Economics
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- Efficient Frontier
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- Health Status Measurement, Reliability and Internal Consistency
- Health Status Measurement, Responsiveness and Sensitivity to Change
- Human Capital Approach
- Life Expectancy
- Morbidity
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- Oncology Health-Related Quality of Life Assessment
- Outcomes Research
- Patient Satisfaction
- Regret
- Report Cards, Hospitals and Physicians
- Risk Adjustment of Outcomes
- SF-36 and SF-12 Health Surveys
- SF-6D
- Sickness Impact Profile
- Sunk Costs
- Impact or Weight or Utility of the Possible Outcomes
- Certainty Equivalent
- Chained Gamble
- Conjoint Analysis
- Contingent Valuation
- Cost Measurement Methods
- 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
- Quality of Well-Being Scale
- Quality-Adjusted Life Years (QALYs)
- Quality-Adjusted Time Without Symptoms or Toxicity (Q-TWiST)
- SMARTS and SMARTER
- Split Choice
- Utilities for Joint Health States
- Utility Assessment Techniques
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- Other Techniques, Theories, and Tools
- Artificial Neural Networks
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- Bioinformatics
- Chaos Theory
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- Complexity
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- Constraint Theory
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- Error and Human Factors Analyses
- Ethnographic Methods
- Expert Systems
- Patient Decision Aids
- Qualitative Methods
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- Support Vector Machines
- Team Dynamics and Group Decision Making
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- Perspective of the Decision Maker
- Advance Directives and End-of-Life Decision Making
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- Data Quality
- Decision Making in Advanced Disease
- Decisions Faced by Hospital Ethics Committees
- Decisions Faced by Institutional Review Boards
- Decisions Faced by Nongovernment Payers of Healthcare: Managed Care
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- Decisions Faced by Surrogates or Proxies for the Patient, Durable Power of Attorney
- Diagnostic Process, Making a Diagnosis
- Differential Diagnosis
- Evaluating and Integrating Research Into Clinical Practice
- Evidence Synthesis
- Evidence-Based Medicine
- Expert Opinion
- Genetic Testing
- Government Perspective, General Healthcare
- Government Perspective, Informed Policy Choice
- Government Perspective, Public Health Issues
- Health Insurance Portability and Accountability Act Privacy Rule
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- Informed Consent
- Informed Decision Making
- International Differences in Healthcare Systems
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- Medical Errors and Errors in Healthcare Delivery
- Medicare
- Models of Physician–Patient Relationship
- Patient Rights
- Physician Estimates of Prognosis
- Rationing
- Religious Factors
- Shared Decision Making
- Surrogate Decision Making
- 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
- Conflicts of Interest and Evidence-Based Clinical Medicine
- Conjunction Probability Error
- Context Effects
- Contextual Error
- Counterfactual Thinking
- Cues
- Decision Making and Affect
- Decision Modes
- Decision Psychology
- Decision Weights
- 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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