OBJECTIVE: To assess the distribution of rheumatologists in Brazil and their correlation with Medical Residency specialization offer, Gross Domestic Product (Gdp) And Municipal Human Development Index (HDI-M) of units of the federation (UFs). METHODS: Query to various official databases, data summarization by techniques for descriptive statistics and cross-referenced information. For correlation analysis, we used the Spearman correlation coefficient (r). RESULTS: There were 1229 rheumatologists regularly registered in the country. The Northern region had only 3.6% of the total (n = 44), while the Southeast had 42.2% (n = 519). The State capitals, added to the five largest municipalities in each UF, concentrated 75.8% of these specialists (n = 931). In total, 49.9% of rheumatologists offered treatment at SUS. A general ratio of 157,809 inhabitants per rheumatologist in Brazil was determined, but with wide variation among UFs with respect to this ratio. In the years 2000-2012, there were 593 Rheumatology Residency graduated physicians in Brazil. We observed a positive correlation among number of rheumatologists compared with GDP (r = 0.94), HDI-M of the State capitals (r = 0.77) and number of Rheumatology Residency graduated physicians (r = 0.79) in UFs. CONCLUSIONS: We noted a strong concentration of rheumatologists in State capitals and larger municipalities, with noticeable inequalities also between UFs and country regions. The distribution of these professionals accompanied GDP, HDI-M of the State capital and number of Rheumatology Residency graduated physicians, suggesting that factors related to income opportunities and human development and the place of speciality training may influence the geographical fixation of rheumatologists.
OBJECTIVE: To assess the distribution of rheumatologists in Brazil and their correlation with Medical Residency specialization offer, Gross Domestic Product (Gdp) And Municipal Human Development Index (HDI-M) of units of the federation (UFs). METHODS: Query to various official databases, data summarization by techniques for descriptive statistics and cross-referenced information. For correlation analysis, we used the Spearman correlation coefficient (r). RESULTS: There were 1229 rheumatologists regularly registered in the country. The Northern region had only 3.6% of the total (n = 44), while the Southeast had 42.2% (n = 519). The State capitals, added to the five largest municipalities in each UF, concentrated 75.8% of these specialists (n = 931). In total, 49.9% of rheumatologists offered treatment at SUS. A general ratio of 157,809 inhabitants per rheumatologist in Brazil was determined, but with wide variation among UFs with respect to this ratio. In the years 2000-2012, there were 593 Rheumatology Residency graduated physicians in Brazil. We observed a positive correlation among number of rheumatologists compared with GDP (r = 0.94), HDI-M of the State capitals (r = 0.77) and number of Rheumatology Residency graduated physicians (r = 0.79) in UFs. CONCLUSIONS: We noted a strong concentration of rheumatologists in State capitals and larger municipalities, with noticeable inequalities also between UFs and country regions. The distribution of these professionals accompanied GDP, HDI-M of the State capital and number of Rheumatology Residency graduated physicians, suggesting that factors related to income opportunities and human development and the place of speciality training may influence the geographical fixation of rheumatologists.