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Factors associated with emergency physician income
OBJECTIVE: Income fairness is important, but there are limited data that describe income equity among emergency physicians. Understanding the magnitude of and factors associated with income differences may be helpful in eliminating disparities. This study analyzed the associations of demographic fac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090942/ https://www.ncbi.nlm.nih.gov/pubmed/37064163 http://dx.doi.org/10.1002/emp2.12949 |
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author | Reisdorff, Earl J. Masselink, Leah E. Gallahue, Fiona E. Suter, Robert E. Chappell, Brad P. Evans, Dian D. Salsberg, Ed Marco, Catherine A. |
author_facet | Reisdorff, Earl J. Masselink, Leah E. Gallahue, Fiona E. Suter, Robert E. Chappell, Brad P. Evans, Dian D. Salsberg, Ed Marco, Catherine A. |
author_sort | Reisdorff, Earl J. |
collection | PubMed |
description | OBJECTIVE: Income fairness is important, but there are limited data that describe income equity among emergency physicians. Understanding the magnitude of and factors associated with income differences may be helpful in eliminating disparities. This study analyzed the associations of demographic factors, training, practice setting, and board certification with emergency physician income. METHODS: We distributed a survey to professional members of the American College of Emergency Physicians. The survey included questions on annual income, educational background, practice characteristics, gender, age, race, ethnicity, international medical graduate status, type of medical degree (MD vs DO), completion of a subspecialty fellowship, job characteristics, and board certification. Respondents also reported annual income. We used linear regression to determine the respondent characteristics associated with reported annual income. RESULTS: From 45,961 members we received 3407 responses (7.4%); 2350 contained complete data for regression analysis. The mean reported annual income was $315,306 (95% confidence interval [CI], $310,649 to $319,964). The mean age of the respondents was 47.4 years, 37.4% were women, 3.2% were races underrepresented in medicine (Black, American Indian, or Alaskan Native), and 4.8% were Hispanic or Latino. On linear regression, female gender was associated with lower reported annual income; difference −$43,565, 95% CI, −$52,217 to −$34,913. Physician age, degree (MD vs DO), underrepresented racial minority status, and underrepresented ethnic minority status were not associated with annual income. Fellowship training was associated with lower income; Accreditation Council for Graduate Medical Education (ACGME) program difference −$30,048; 95% CI, −$48,183 to −$11,912, non‐ACGME‐program difference −$27,640, 95% CI, −$40,970 to −$14,257. Working at a for‐profit institution was associated with higher income; difference $12,290, 95% CI, $3693 to $20,888. Board certification was associated with higher income; difference, $43,267, 95% CI, $30,767 to $55,767. CONCLUSIONS: This study identified income disparities associated with gender, practice setting, fellowship completion, and American Board of Emergency Medicine or American Osteopathic Board of Emergency Medicine certification. |
format | Online Article Text |
id | pubmed-10090942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100909422023-04-13 Factors associated with emergency physician income Reisdorff, Earl J. Masselink, Leah E. Gallahue, Fiona E. Suter, Robert E. Chappell, Brad P. Evans, Dian D. Salsberg, Ed Marco, Catherine A. J Am Coll Emerg Physicians Open ORIGINAL RESEARCH OBJECTIVE: Income fairness is important, but there are limited data that describe income equity among emergency physicians. Understanding the magnitude of and factors associated with income differences may be helpful in eliminating disparities. This study analyzed the associations of demographic factors, training, practice setting, and board certification with emergency physician income. METHODS: We distributed a survey to professional members of the American College of Emergency Physicians. The survey included questions on annual income, educational background, practice characteristics, gender, age, race, ethnicity, international medical graduate status, type of medical degree (MD vs DO), completion of a subspecialty fellowship, job characteristics, and board certification. Respondents also reported annual income. We used linear regression to determine the respondent characteristics associated with reported annual income. RESULTS: From 45,961 members we received 3407 responses (7.4%); 2350 contained complete data for regression analysis. The mean reported annual income was $315,306 (95% confidence interval [CI], $310,649 to $319,964). The mean age of the respondents was 47.4 years, 37.4% were women, 3.2% were races underrepresented in medicine (Black, American Indian, or Alaskan Native), and 4.8% were Hispanic or Latino. On linear regression, female gender was associated with lower reported annual income; difference −$43,565, 95% CI, −$52,217 to −$34,913. Physician age, degree (MD vs DO), underrepresented racial minority status, and underrepresented ethnic minority status were not associated with annual income. Fellowship training was associated with lower income; Accreditation Council for Graduate Medical Education (ACGME) program difference −$30,048; 95% CI, −$48,183 to −$11,912, non‐ACGME‐program difference −$27,640, 95% CI, −$40,970 to −$14,257. Working at a for‐profit institution was associated with higher income; difference $12,290, 95% CI, $3693 to $20,888. Board certification was associated with higher income; difference, $43,267, 95% CI, $30,767 to $55,767. CONCLUSIONS: This study identified income disparities associated with gender, practice setting, fellowship completion, and American Board of Emergency Medicine or American Osteopathic Board of Emergency Medicine certification. John Wiley and Sons Inc. 2023-04-11 /pmc/articles/PMC10090942/ /pubmed/37064163 http://dx.doi.org/10.1002/emp2.12949 Text en © 2023 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of American College of Emergency Physicians. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | ORIGINAL RESEARCH Reisdorff, Earl J. Masselink, Leah E. Gallahue, Fiona E. Suter, Robert E. Chappell, Brad P. Evans, Dian D. Salsberg, Ed Marco, Catherine A. Factors associated with emergency physician income |
title | Factors associated with emergency physician income |
title_full | Factors associated with emergency physician income |
title_fullStr | Factors associated with emergency physician income |
title_full_unstemmed | Factors associated with emergency physician income |
title_short | Factors associated with emergency physician income |
title_sort | factors associated with emergency physician income |
topic | ORIGINAL RESEARCH |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090942/ https://www.ncbi.nlm.nih.gov/pubmed/37064163 http://dx.doi.org/10.1002/emp2.12949 |
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