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Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768970/ https://www.ncbi.nlm.nih.gov/pubmed/33361072 http://dx.doi.org/10.1136/bmjopen-2020-038980 |
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author | Franco, Rogério do Lago Iora, Pedro Henrique Dutra, Amanda Carvalho Belczak, Sérgio Quilici Vissoci, João Staton, Catherine Andrade, Luciano |
author_facet | Franco, Rogério do Lago Iora, Pedro Henrique Dutra, Amanda Carvalho Belczak, Sérgio Quilici Vissoci, João Staton, Catherine Andrade, Luciano |
author_sort | Franco, Rogério do Lago |
collection | PubMed |
description | 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 R(2)=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. |
format | Online Article Text |
id | pubmed-7768970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77689702021-01-05 Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil Franco, Rogério do Lago Iora, Pedro Henrique Dutra, Amanda Carvalho Belczak, Sérgio Quilici Vissoci, João Staton, Catherine Andrade, Luciano BMJ Open Cardiovascular Medicine 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 R(2)=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. BMJ Publishing Group 2020-12-24 /pmc/articles/PMC7768970/ /pubmed/33361072 http://dx.doi.org/10.1136/bmjopen-2020-038980 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Cardiovascular Medicine Franco, Rogério do Lago Iora, Pedro Henrique Dutra, Amanda Carvalho Belczak, Sérgio Quilici Vissoci, João Staton, Catherine Andrade, Luciano Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil |
title | Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil |
title_full | Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil |
title_fullStr | Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil |
title_full_unstemmed | Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil |
title_short | Spatial inequalities of major lower limb amputation rates in Paraná state, Brazil |
title_sort | spatial inequalities of major lower limb amputation rates in paraná state, brazil |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768970/ https://www.ncbi.nlm.nih.gov/pubmed/33361072 http://dx.doi.org/10.1136/bmjopen-2020-038980 |
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