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Related Concept Videos

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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Interpretation of Confidence Intervals

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 in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
Uncertainty in Measurement: Significant Figures03:34

Uncertainty in Measurement: Significant Figures

All the digits in a measurement, including the uncertain last digit, are called significant figures or significant digits. Note that zero may be a measured value; for example, if a scale that shows weight to the nearest pound reads “140,” then the 1 (hundreds), 4 (tens), and 0 (ones) are all significant (measured) values.
Confidence Coefficient01:24

Confidence Coefficient

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...

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How certain are you, doctor?

Jonathan Gillis1, Bernadette Tobin

  • 1Pediatric Intensive Care Unit, The Children's Hospital at Westmead, Sydney, New South Wales, Australia. jonathan.gillis@sesiahs.health.nsw.gov.au

Pediatric Critical Care Medicine : a Journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

Pediatric intensive care physicians struggle to answer parental questions about prognostic certainty, impacting their professional duty. Addressing intensive care structure, prognostication neglect, and certainty distinctions can improve physician communication with families.

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Area of Science:

  • Medical Ethics
  • Pediatric Critical Care
  • Clinical Communication

Background:

  • Parents frequently inquire about prognostic certainty for critically ill children.
  • Pediatric intensive care physicians often face challenges in providing definitive answers.
  • This communication gap can lead to parental distress and mistrust.

Purpose of the Study:

  • To highlight the difficulties pediatric intensive care physicians encounter when discussing prognostic certainty with parents.
  • To assert that these communication challenges represent a failure in professional responsibility.
  • To propose solutions for more authentic and sincere physician responses.

Main Methods:

  • This study presents a critical analysis of physician communication in pediatric intensive care settings.
  • It examines the underlying reasons for difficulties in conveying prognostic certainty.
  • The authors draw upon clinical experience and ethical considerations.

Main Results:

  • Physicians experience significant challenges in responding to parental questions regarding prognostic certainty.
  • These difficulties stem from the intensive care environment, inadequate focus on prognostication, and confusion between scientific and practical certainty.
  • Current communication practices may not adequately meet parental needs for clear information.

Conclusions:

  • Addressing the structure of intensive care, prioritizing prognostication, and clarifying certainty concepts are crucial.
  • Improved understanding can enhance physicians' ability to respond authentically to parental inquiries.
  • This will foster greater trust and support for families during critical illness.