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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Random Error

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Margin of Error01:27

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Contaminants and Errors01:16

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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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Standard Error of the Mean01:13

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The sampling variability of a statistic is defined as how much the statistic varies from one sample to another. The sampling variability of a statistic is typically measured by measuring its standard error.
The standard error of the mean is an example of a standard error. It is a unique standard deviation known as the standard deviation of the sampling distribution of the mean. The standard error of the mean is a statistic that calculates how correctly a sample distribution represents a...
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Guidelines for Elective Pediatric Fiberoptic Intubation
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Diagnostic errors in pediatric bacterial osteomyelitis.

Yuki Otani1, Yuta Aizawa2,3, Hiroshi Hataya1

  • 1Division of General Pediatrics, Department of Pediatrics, Tokyo Metropolitan Children's Medical Center, Fuchu, Tokyo, Japan.

Pediatrics International : Official Journal of the Japan Pediatric Society
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

Pediatric septic osteomyelitis diagnosis errors are common, with nearly 40% of cases misdiagnosed. Cognitive errors, often linked to prior antibiotic use, were the primary cause, highlighting a need for improved diagnostic strategies in children.

Keywords:
biaschilddiagnostic errorosteomyelitis

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Area of Science:

  • Pediatric Medicine
  • Diagnostic Accuracy
  • Infectious Diseases

Background:

  • Clinical evidence for improving diagnostic accuracy in pediatric medicine is limited.
  • Septic osteomyelitis presents diagnostic challenges for pediatricians.
  • Understanding diagnostic errors is crucial for enhancing patient care.

Purpose of the Study:

  • To identify the incidence of diagnostic errors in pediatric osteomyelitis.
  • To determine the reasons behind misdiagnosis of bacterial osteomyelitis in children.
  • To improve patient care by analyzing diagnostic inaccuracies.

Main Methods:

  • Retrospective review of pediatric patients (<16 years) with osteomyelitis (April 2010-September 2017).
  • Data extraction included demographics, clinical course, symptoms, lesion location, and diagnoses.
  • Patients categorized into misdiagnosis and non-misdiagnosis groups based on initial vs. discharge diagnosis.

Main Results:

  • 71 pediatric patients were analyzed; 38% (27/71) experienced misdiagnosis.
  • Prior antibiotic use was significantly associated with misdiagnosis (P=0.044).
  • Cognitive errors accounted for 88.3% of misdiagnoses, with a median of 2 error types per case.

Conclusions:

  • Misdiagnosis of pediatric septic osteomyelitis is frequent and primarily driven by cognitive errors.
  • Addressing cognitive errors in diagnosis is essential for improving osteomyelitis patient care.
  • Enhanced diagnostic strategies are needed to reduce errors in pediatric septic osteomyelitis.