{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T19:31:21Z","timestamp":1789759881896,"version":"4.0.1"},"reference-count":36,"publisher":"BMJ","issue":"12","license":[{"start":{"date-parts":[[2020,12,23]],"date-time":"2020-12-23T00:00:00Z","timestamp":1608681600000},"content-version":"unspecified","delay-in-days":22,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2020,11,25]]},"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The aim of this observational cross-sectional study was to analyse the spatial distribution of major lower limb amputation (MLLA) rates and associate them to socioeconomic, demographic and public healthcare access-related variables in the State of Paran\u00e1, Brazil, from 2012 to 2017.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>Data on MLLA, revascularisation surgeries, diagnostic exams and healthcare coverage were obtained from the Brazilian Public Hospital Information System. Socioeconomic data were obtained from the Brazilian Institute of Geography and Statistics. Spatial autocorrelation of the MLLA rates was tested using Moran\u2019s I method. Multivariate spatial regression models using ordinary least squares regression (OLS) and geographically weighted regression (GWR) were used to identify the variables significantly correlated with MLLA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 5270 MLLA were included in the analysis. Mean MLLA rates were 24.32 (\u00b118.22)\/100 000 inhabitants, showing a positive global spatial autocorrelation (Moran\u2019s I=0.66; p&lt;0.001). Queen contiguity matrix demonstrates that MLLA rates ranged from 7.6 to 46.6\/100 000 with five large clusters of high MLLA rates. OLS showed that four of the nine studied variables presented significant spatial correlation with MLLA rates. Colour Doppler ultrasound showed a negative association (p&lt;0.001), while revascularisation surgeries and illiteracy showed a positive correlation (p&lt;0.01). GWR presented the best model (adjusted R\n                      <jats:sup>2<\/jats:sup>\n                      =0.77) showing that the predictors differentially affect the MLLA rates geographically.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The high MLLA rates in some regions of the state are influenced by the high rate of illiteracy and low utilisation rate of colour Doppler, indicating a social problem and difficulty in accessing health. On the other hand, the high rates of revascularisation surgeries are related to higher MLLA rates, possibly due to delayed access to specialised hospitals. This indicates that attention must be given to population access to public healthcare in the State of Paran\u00e1 in order to ensure proper and timely medical attention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2020-038980","type":"journal-article","created":{"date-parts":[[2020,12,24]],"date-time":"2020-12-24T11:29:16Z","timestamp":1608809356000},"page":"e038980","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":7,"title":["Spatial inequalities of major lower limb amputation rates in Paran\u00e1 state, Brazil"],"prefix":"10.1136","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5926-6941","authenticated-orcid":false,"given":"Rog\u00e9rio do Lago","family":"Franco","sequence":"first","affiliation":[{"name":"Medicine Department, Universidade Estadual de Maringa, Maringa, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedro 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