OBJECTIVE: To analyze the distribution of rheumatology practices in the US and factors associated with that distribution, in order to better understand the supply of the rheumatology workforce. METHODS: Using the American College of Rheumatology membership database, all practicing adult rheumatologist office addresses were mapped with ArcView software. The number of rheumatologists per Core Based Statistical Area (CBSA) was calculated. To investigate whether sociodemographic factors correlated with clustering of rheumatologists, covariates from the 2010 US Census for each CBSA, including age, sex, race/ethnicity, and median household income, were modeled. RESULTS: Many CBSAs, predominantly smaller micropolitan areas, did not have a practicing rheumatologist. For some of these smaller micropolitan areas (with populations of at least 40,000), the closest practicing rheumatologist was more than 200 miles away. However, we also identified several more-populous areas (populations of 200,000 or more) without a practicing rheumatologist. Greater numbers of rheumatologists were more likely to practice in areas with higher population densities and higher median incomes. More rheumatologists were also found in CBSAs in which there were rheumatology training programs. CONCLUSION: These findings demonstrate that many smaller regions of the country have no or few practicing adult rheumatologists. Patients with chronic rheumatic conditions in these areas likely have limited access to rheumatology care. Policy changes could address potential regional rheumatology workforce shortages, but limitations of the current data would need to be addressed prior to implementation of such changes.
OBJECTIVE: To analyze the distribution of rheumatology practices in the US and factors associated with that distribution, in order to better understand the supply of the rheumatology workforce. METHODS: Using the American College of Rheumatology membership database, all practicing adult rheumatologist office addresses were mapped with ArcView software. The number of rheumatologists per Core Based Statistical Area (CBSA) was calculated. To investigate whether sociodemographic factors correlated with clustering of rheumatologists, covariates from the 2010 US Census for each CBSA, including age, sex, race/ethnicity, and median household income, were modeled. RESULTS: Many CBSAs, predominantly smaller micropolitan areas, did not have a practicing rheumatologist. For some of these smaller micropolitan areas (with populations of at least 40,000), the closest practicing rheumatologist was more than 200 miles away. However, we also identified several more-populous areas (populations of 200,000 or more) without a practicing rheumatologist. Greater numbers of rheumatologists were more likely to practice in areas with higher population densities and higher median incomes. More rheumatologists were also found in CBSAs in which there were rheumatology training programs. CONCLUSION: These findings demonstrate that many smaller regions of the country have no or few practicing adult rheumatologists. Patients with chronic rheumatic conditions in these areas likely have limited access to rheumatology care. Policy changes could address potential regional rheumatology workforce shortages, but limitations of the current data would need to be addressed prior to implementation of such changes.
Authors: Michael J Battistone; Andrea M Barker; Marissa P Grotzke; J Peter Beck; Phillip Lawrence; Grant W Cannon Journal: J Gen Intern Med Date: 2016-06-27 Impact factor: 5.128
Authors: Jennifer M Hootman; Charles G Helmick; Kamil E Barbour; Kristina A Theis; Michael A Boring Journal: Arthritis Rheumatol Date: 2016-07 Impact factor: 10.995
Authors: John A McDougall; Elizabeth D Ferucci; Janis Glover; Liana Fraenkel Journal: Arthritis Care Res (Hoboken) Date: 2017-08-22 Impact factor: 4.794
Authors: Daniel H Solomon; Liana Fraenkel; Bing Lu; Erika Brown; Peter Tsao; Elena Losina; Jeffrey N Katz; Asaf Bitton Journal: Arthritis Care Res (Hoboken) Date: 2015-12 Impact factor: 4.794