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Related Concept Videos

SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

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Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined...
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Units and Standards of Measurement01:10

Units and Standards of Measurement

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
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Ratio Level of Measurement00:54

Ratio Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
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Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
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Nominal Level of Measurement00:56

Nominal Level of Measurement

28.0K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
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Measurement: Standard Units03:38

Measurement: Standard Units

61.2K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Matters We Metric Vs. Metrics that Matter.

Naoko Onizuka1,2,3, Liron Sinvani4,5,6, Carmen Quatman3,7,8,9

  • 1Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN, USA.

Geriatric Orthopaedic Surgery & Rehabilitation
|August 26, 2024
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Geriatric fracture care needs better metrics. Current systems may not reflect true quality, urging a shift to patient-centered outcomes for older adults with fractures.

Keywords:
geriatric fracturehospital metricsmetricspatient-centered carequality-based reimbursement

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Area of Science:

  • Geriatric medicine
  • Orthopedics
  • Health services research

Background:

  • Geriatric fractures present a significant global health challenge with high mortality, morbidity, and healthcare costs.
  • Current healthcare reimbursement models may not adequately address the complex needs of older adults with fractures.

Purpose of the Study:

  • To advocate for a transition to meaningful metrics in geriatric fracture care.
  • To call for medical societies to promote reimbursement and ranking systems focused on patient-centered outcomes.

Main Methods:

  • Review of existing geriatric fracture care metrics.
  • Analysis of the limitations of traditional metrics (e.g., length of stay, mortality).
  • Exploration of patient-focused metrics and frameworks like the Age-Friendly Health Initiative (4 Ms).

Main Results:

  • Traditional metrics may not accurately reflect high-quality care and can lead to adverse consequences.
  • Existing metrics have expanded but require further development in patient-focused areas.
  • The Age-Friendly Health Initiative (4 Ms) offers a framework for critical care assessment.

Conclusions:

  • A paradigm shift is essential in geriatric fracture care metrics.
  • Metrics must evolve beyond financial considerations to truly matter for patients.
  • Focusing on patient-centered outcomes is crucial for improving care quality and impact.