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Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil.

Publication ,  Journal Article
Franco, RDL; Iora, PH; Dutra, AC; Belczak, SQ; Vissoci, J; Staton, C; Andrade, L
Published in: BMJ Open
December 24, 2020

OBJECTIVE: 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 Paraná, Brazil, from 2012 to 2017. METHOD: 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's 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. RESULTS: A total of 5270 MLLA were included in the analysis. Mean MLLA rates were 24.32 (±18.22)/100 000 inhabitants, showing a positive global spatial autocorrelation (Moran's I=0.66; p<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<0.001), while revascularisation surgeries and illiteracy showed a positive correlation (p<0.01). GWR presented the best model (adjusted R2=0.77) showing that the predictors differentially affect the MLLA rates geographically. CONCLUSION: 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 Paraná in order to ensure proper and timely medical attention.

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Published In

BMJ Open

DOI

EISSN

2044-6055

Publication Date

December 24, 2020

Volume

10

Issue

12

Start / End Page

e038980

Location

England

Related Subject Headings

  • Spatial Regression
  • Spatial Analysis
  • Lower Extremity
  • Humans
  • Brazil
  • Amputation, Surgical
  • 52 Psychology
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 1199 Other Medical and Health Sciences
 

Citation

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Franco, R. D. L., Iora, P. H., Dutra, A. C., Belczak, S. Q., Vissoci, J., Staton, C., & Andrade, L. (2020). Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil. BMJ Open, 10(12), e038980. https://doi.org/10.1136/bmjopen-2020-038980
Franco, Rogério do Lago, Pedro Henrique Iora, Amanda Carvalho Dutra, Sérgio Quilici Belczak, João Vissoci, Catherine Staton, and Luciano Andrade. “Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil.BMJ Open 10, no. 12 (December 24, 2020): e038980. https://doi.org/10.1136/bmjopen-2020-038980.
Franco RDL, Iora PH, Dutra AC, Belczak SQ, Vissoci J, Staton C, et al. Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil. BMJ Open. 2020 Dec 24;10(12):e038980.
Franco, Rogério do Lago, et al. “Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil.BMJ Open, vol. 10, no. 12, Dec. 2020, p. e038980. Pubmed, doi:10.1136/bmjopen-2020-038980.
Franco RDL, Iora PH, Dutra AC, Belczak SQ, Vissoci J, Staton C, Andrade L. Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil. BMJ Open. 2020 Dec 24;10(12):e038980.

Published In

BMJ Open

DOI

EISSN

2044-6055

Publication Date

December 24, 2020

Volume

10

Issue

12

Start / End Page

e038980

Location

England

Related Subject Headings

  • Spatial Regression
  • Spatial Analysis
  • Lower Extremity
  • Humans
  • Brazil
  • Amputation, Surgical
  • 52 Psychology
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 1199 Other Medical and Health Sciences