skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Geographic Analysis of the Radiation Oncology Workforce

Abstract

Purpose: To evaluate trends in the geographic distribution of the radiation oncology (RO) workforce. Methods and Materials: We used the 1995 and 2007 versions of the Area Resource File to map the ratio of RO to the population aged 65 years or older (ROR) within different health service areas (HSA) within the United States. We used regression analysis to find associations between population variables and 2007 ROR. We calculated Gini coefficients for ROR to assess the evenness of RO distribution and compared that with primary care physicians and total physicians. Results: There was a 24% increase in the RO workforce from 1995 to 2007. The overall growth in the RO workforce was less than that of primary care or the overall physician workforce. The mean ROR among HSAs increased by more than one radiation oncologist per 100,000 people aged 65 years or older, from 5.08 per 100,000 to 6.16 per 100,000. However, there remained consistent geographic variability concerning RO distribution, specifically affecting the non-metropolitan HSAs. Regression analysis found higher ROR in HSAs that possessed higher education (p = 0.001), higher income (p < 0.001), lower unemployment rates (p < 0.001), and higher minority population (p = 0.022). Gini coefficients showedmore » RO distribution less even than for both primary care physicians and total physicians (0.326 compared with 0.196 and 0.292, respectively). Conclusions: Despite a modest growth in the RO workforce, there exists persistent geographic maldistribution of radiation oncologists allocated along socioeconomic and racial lines. To solve problems surrounding the RO workforce, issues concerning both gross numbers and geographic distribution must be addressed.« less

Authors:
 [1];  [2];  [3];  [4];  [2];  [1];  [5];  [1];  [1];  [2]
  1. Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States)
  2. (United States)
  3. University of Texas M. D. Anderson Cancer Center, Houston, TX (United States)
  4. Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT (United States)
  5. Cancer Institute of New Jersey, New Brunswick, NJ (United States)
Publication Date:
OSTI Identifier:
22062402
Resource Type:
Journal Article
Journal Name:
International Journal of Radiation Oncology, Biology and Physics
Additional Journal Information:
Journal Volume: 82; Journal Issue: 5; Other Information: Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0360-3016
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; ALBUMINS; BLOOD SERUM; DISTRIBUTION; ELDERLY PEOPLE; EMPLOYMENT; EVALUATION; RADIOLOGICAL PERSONNEL; REGRESSION ANALYSIS

Citation Formats

Aneja, Sanjay, Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT, Smith, Benjamin D., Gross, Cary P., Department of General Internal Medicine, Yale University School of Medicine, New Haven, CT, Wilson, Lynn D., Haffty, Bruce G., Roberts, Kenneth, Yu, James B., E-mail: james.b.yu@yale.edu, and Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT. Geographic Analysis of the Radiation Oncology Workforce. United States: N. p., 2012. Web. doi:10.1016/J.IJROBP.2011.01.070.
Aneja, Sanjay, Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT, Smith, Benjamin D., Gross, Cary P., Department of General Internal Medicine, Yale University School of Medicine, New Haven, CT, Wilson, Lynn D., Haffty, Bruce G., Roberts, Kenneth, Yu, James B., E-mail: james.b.yu@yale.edu, & Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT. Geographic Analysis of the Radiation Oncology Workforce. United States. doi:10.1016/J.IJROBP.2011.01.070.
Aneja, Sanjay, Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT, Smith, Benjamin D., Gross, Cary P., Department of General Internal Medicine, Yale University School of Medicine, New Haven, CT, Wilson, Lynn D., Haffty, Bruce G., Roberts, Kenneth, Yu, James B., E-mail: james.b.yu@yale.edu, and Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT. Sun . "Geographic Analysis of the Radiation Oncology Workforce". United States. doi:10.1016/J.IJROBP.2011.01.070.
@article{osti_22062402,
title = {Geographic Analysis of the Radiation Oncology Workforce},
author = {Aneja, Sanjay and Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT and Smith, Benjamin D. and Gross, Cary P. and Department of General Internal Medicine, Yale University School of Medicine, New Haven, CT and Wilson, Lynn D. and Haffty, Bruce G. and Roberts, Kenneth and Yu, James B., E-mail: james.b.yu@yale.edu and Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT},
abstractNote = {Purpose: To evaluate trends in the geographic distribution of the radiation oncology (RO) workforce. Methods and Materials: We used the 1995 and 2007 versions of the Area Resource File to map the ratio of RO to the population aged 65 years or older (ROR) within different health service areas (HSA) within the United States. We used regression analysis to find associations between population variables and 2007 ROR. We calculated Gini coefficients for ROR to assess the evenness of RO distribution and compared that with primary care physicians and total physicians. Results: There was a 24% increase in the RO workforce from 1995 to 2007. The overall growth in the RO workforce was less than that of primary care or the overall physician workforce. The mean ROR among HSAs increased by more than one radiation oncologist per 100,000 people aged 65 years or older, from 5.08 per 100,000 to 6.16 per 100,000. However, there remained consistent geographic variability concerning RO distribution, specifically affecting the non-metropolitan HSAs. Regression analysis found higher ROR in HSAs that possessed higher education (p = 0.001), higher income (p < 0.001), lower unemployment rates (p < 0.001), and higher minority population (p = 0.022). Gini coefficients showed RO distribution less even than for both primary care physicians and total physicians (0.326 compared with 0.196 and 0.292, respectively). Conclusions: Despite a modest growth in the RO workforce, there exists persistent geographic maldistribution of radiation oncologists allocated along socioeconomic and racial lines. To solve problems surrounding the RO workforce, issues concerning both gross numbers and geographic distribution must be addressed.},
doi = {10.1016/J.IJROBP.2011.01.070},
journal = {International Journal of Radiation Oncology, Biology and Physics},
issn = {0360-3016},
number = 5,
volume = 82,
place = {United States},
year = {2012},
month = {4}
}