4.5 Article

Orthopaedic Surgeon Distribution in the United States

Journal

JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS
Volume 30, Issue 18, Pages E1188-E1194

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.5435/JAAOS-D-22-00271

Keywords

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Funding

  1. NIH National Institute on Aging [P01AG066603]
  2. William Rienhoff Jr.

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The distribution of orthopaedic surgeons in the United States is associated with geographic and sociodemographic factors, and access to these surgeons in rural areas is decreasing over time. Surgeon density is closely related to socioeconomic factors such as wealth and urbanization.
Background: There is limited research on the supply and distribution of orthopaedic surgeons in the United States. The goal of this study was to analyze the association of orthopaedic surgeon distribution in the United States with geographic and sociodemographic factors. Methods: County-level data from the US Department of Health and Human Services Area Health Resources Files were used to determine the density of orthopaedic surgeons across the United States on a county level. Data were examined from 2000 to 2019 to analyze trends over time. Bivariate and multivariable negative binomial regression models were constructed to identify county-level sociodemographic factors associated with orthopaedic surgeon density. Results: In 2019, 51% of the counties in the United States did not have an orthopaedic surgeon. Metropolitan counties had a mean of 22 orthopaedic surgeons per 100,000 persons while nonmetropolitan and rural counties had a mean of 2 and 0.1 orthopaedic surgeons per 100,000 persons, respectively. Over the past 2 decades, there was a significant increase in the percentage of orthopaedic surgeons in metropolitan counties (77% in 2000 vs 93% in 2019, P < 0.001) and in the proportion of orthopaedic surgeons 55 years and older (32% in 2000 vs 39% in 2019, P < 0.001). Orthopaedic surgeon density increased with increasing median home value (P < 0.001) and median household income (P < 0.001). Counties with a higher percentage of persons in poverty (P < 0.001) and higher unemployment rate (P < 0.001) and nonmetropolitan (P < 0.001) and rural (P < 0.001) counties had a lower density of orthopaedic surgeons. On multivariable analysis, a model consisting of median home value (P < 0.001), rural counties (P < 0.001), percentage of noninsured persons (P < 0.001), and percentage of foreign-born persons (P < 0.001) predicted orthopaedic surgeon density. Conclusion: Access to orthopaedic surgeons in the United States in rural areas is decreasing over time. County-level socioeconomic factors such as wealth and urbanization were found to be closely related with surgeon density.

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