Decision-making Confidence

Decision-making confidence is the degree of certainty a person assigns to a choice, and it matters in medicine because clinicians must act despite incomplete information. It develops through metacognitive evaluation, in which clinicians compare their judgments with available evidence, assess uncertainty, and update conclusions as new findings emerge. In clinical practice, calibrated confidence can support diagnosis, treatment selection, risk communication, and shared decision-making while recognizing when consultation or additional testing is needed. Studying this concept helps identify cognitive biases, improve training, and promote safer, more transparent patient care.

Decision-making Confidence - Related Videos

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JoVE Core - Statistics

Confidence Intervals

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2023

An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively. A confidence...

Confidence Coefficient

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2023

The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under both the...

Thinking Too Much Impairs Decision-Making

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2023

Source: Peter Mende-Siedlecki & Jay Van Bavel—New York University When we are considering a tough choice between two or more attractive options, we often end up actively weighing the pros and cons of each alternative. By reflecting on their advantages and disadvantages, we attempt to fit a complex, subjective decision into an orderly set of criteria. However, research in psychology suggests that this sort of introspective approach might not always yield the most optimal outcomes.1 In other...

Interpretation of Confidence Intervals

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2023

A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value. Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively. Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...

Uncertainty: Confidence Intervals

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2024

The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor 't,' or...

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