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Related Concept Videos

What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
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Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Conservative Site-specific Recombination and Phase Variation02:53

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Variation of Atmospheric Pressure01:18

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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
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Comparing Copy Number Variations and SNPs02:26

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Coefficient of Variation01:10

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The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
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Urologist Workforce Variation Across the VHA.

Ted A Skolarus1, Timothy P Hofer1, Jeffrey S Montgomery1

  • 1and are all investigators at the HSR&D Center for Clinical Management Research in the VA Ann Arbor Health Care System in Michigan. and Dr. Skolarus are all staff urologists in the Urology Section, VA Ann Arbor Health Care System and along with are members of the Department of Urology, University of Michigan. Dr. Hofer and Dr. Hawley are in the Department of Internal Medicine, University of Michigan. and are both at the VA Greater Los Angeles Healthcare System and University of California, Los Angeles. Dr. Sales is also in the Department of Systems Leadership and Effectiveness Science at the School of Nursing, University of Michigan.

Federal Practitioner : for the Health Care Professionals of the VA, Dod, and PHS
|February 16, 2019
PubMed
Summary
This summary is machine-generated.

Urologist distribution differs significantly by facility, not region. Regional strategies, e-consults, and telemedicine can improve access for veterans facing urological care challenges.

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Area of Science:

  • Healthcare Access
  • Urology
  • Health Services Research

Background:

  • Access to urological care is crucial for veterans.
  • Geographic maldistribution of specialists can create access barriers.
  • Understanding distribution patterns is key to improving care delivery.

Purpose of the Study:

  • To analyze the distribution of urologists within the Veterans Health Administration.
  • To identify factors influencing urologist distribution.
  • To explore strategies for mitigating access issues for veterans.

Main Methods:

  • Large-scale study analyzing urologist distribution data.
  • Examination of facility-level versus regional-level distribution.
  • Assessment of potential solutions like telemedicine and e-consults.

Main Results:

  • Urologist distribution shows significant variation at the facility level.
  • Distribution patterns are not primarily driven by regional factors.
  • Regional approaches, e-consults, and telemedicine show promise in addressing access disparities.

Conclusions:

  • Facility-level maldistribution is a key characteristic of urologist distribution.
  • Targeted regional strategies and telehealth modalities can enhance veteran access to urology services.
  • Future efforts should focus on optimizing specialist deployment and leveraging technology to overcome geographic barriers.