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Towards defining the surgical workforce for children: a geospatial analysis in Brazil

OBJECTIVES: The optimal size of the health workforce for children’s surgical care around the world remains poorly defined. The goal of this study was to characterise the surgical workforce for children across Brazil, and to identify associations between the surgical workforce and measures of childho...

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Autores principales: Rocha, Thiago Augusto Hernandes, Vissoci, Joao, Rocha, Nubia, Poenaru, Dan, Shrime, Mark, Smith, Emily R, Rice, Henry E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202732/
https://www.ncbi.nlm.nih.gov/pubmed/32209626
http://dx.doi.org/10.1136/bmjopen-2019-034253
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author Rocha, Thiago Augusto Hernandes
Vissoci, Joao
Rocha, Nubia
Poenaru, Dan
Shrime, Mark
Smith, Emily R
Rice, Henry E
author_facet Rocha, Thiago Augusto Hernandes
Vissoci, Joao
Rocha, Nubia
Poenaru, Dan
Shrime, Mark
Smith, Emily R
Rice, Henry E
author_sort Rocha, Thiago Augusto Hernandes
collection PubMed
description OBJECTIVES: The optimal size of the health workforce for children’s surgical care around the world remains poorly defined. The goal of this study was to characterise the surgical workforce for children across Brazil, and to identify associations between the surgical workforce and measures of childhood health. DESIGN: This study is an ecological, cross-sectional analysis using data from the Brazil public health system (Sistema Único de Saúde). SETTINGS AND PARTICIPANTS: We collected data on the surgical workforce (paediatric surgeons, general surgeons, anaesthesiologists and nursing staff), perioperative mortality rate (POMR) and under-5 mortality rate (U5MR) across Brazil for 2015. PRIMARY AND SECONDARY OUTCOME MEASURES: We performed descriptive analyses, and identified associations between the workforce and U5MR using geospatial analysis (Getis-Ord-Gi analysis, spatial cluster analysis and linear regression models). FINDINGS: There were 39 926 general surgeons, 856 paediatric surgeons, 13 243 anaesthesiologists and 103 793 nurses across Brazil in 2015. The U5MR ranged from 11 to 26 deaths/1000 live births and the POMR ranged from 0.11–0.17 deaths/100 000 children across the country. The surgical workforce is inequitably distributed across the country, with the wealthier South and Southeast regions having a higher workforce density as well as lower U5MR than the poorer North and Northeast regions. Using linear regression, we found an inverse relationship between the surgical workforce density and U5MR. An U5MR of 15 deaths/1000 births across Brazil is associated with a workforce level of 5 paediatric surgeons, 200 surgeons, 100 anaesthesiologists or 700 nurses/100 000 children. CONCLUSIONS: We found wide disparities in the surgical workforce and childhood mortality across Brazil, with both directly related to socioeconomic status. Areas of increased surgical workforce are associated with lower U5MR. Strategic investment in the surgical workforce may be required to attain optimal health outcomes for children in Brazil, particularly in rural regions.
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spelling pubmed-72027322020-05-13 Towards defining the surgical workforce for children: a geospatial analysis in Brazil Rocha, Thiago Augusto Hernandes Vissoci, Joao Rocha, Nubia Poenaru, Dan Shrime, Mark Smith, Emily R Rice, Henry E BMJ Open Global Health OBJECTIVES: The optimal size of the health workforce for children’s surgical care around the world remains poorly defined. The goal of this study was to characterise the surgical workforce for children across Brazil, and to identify associations between the surgical workforce and measures of childhood health. DESIGN: This study is an ecological, cross-sectional analysis using data from the Brazil public health system (Sistema Único de Saúde). SETTINGS AND PARTICIPANTS: We collected data on the surgical workforce (paediatric surgeons, general surgeons, anaesthesiologists and nursing staff), perioperative mortality rate (POMR) and under-5 mortality rate (U5MR) across Brazil for 2015. PRIMARY AND SECONDARY OUTCOME MEASURES: We performed descriptive analyses, and identified associations between the workforce and U5MR using geospatial analysis (Getis-Ord-Gi analysis, spatial cluster analysis and linear regression models). FINDINGS: There were 39 926 general surgeons, 856 paediatric surgeons, 13 243 anaesthesiologists and 103 793 nurses across Brazil in 2015. The U5MR ranged from 11 to 26 deaths/1000 live births and the POMR ranged from 0.11–0.17 deaths/100 000 children across the country. The surgical workforce is inequitably distributed across the country, with the wealthier South and Southeast regions having a higher workforce density as well as lower U5MR than the poorer North and Northeast regions. Using linear regression, we found an inverse relationship between the surgical workforce density and U5MR. An U5MR of 15 deaths/1000 births across Brazil is associated with a workforce level of 5 paediatric surgeons, 200 surgeons, 100 anaesthesiologists or 700 nurses/100 000 children. CONCLUSIONS: We found wide disparities in the surgical workforce and childhood mortality across Brazil, with both directly related to socioeconomic status. Areas of increased surgical workforce are associated with lower U5MR. Strategic investment in the surgical workforce may be required to attain optimal health outcomes for children in Brazil, particularly in rural regions. BMJ Publishing Group 2020-03-23 /pmc/articles/PMC7202732/ /pubmed/32209626 http://dx.doi.org/10.1136/bmjopen-2019-034253 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/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 Global Health
Rocha, Thiago Augusto Hernandes
Vissoci, Joao
Rocha, Nubia
Poenaru, Dan
Shrime, Mark
Smith, Emily R
Rice, Henry E
Towards defining the surgical workforce for children: a geospatial analysis in Brazil
title Towards defining the surgical workforce for children: a geospatial analysis in Brazil
title_full Towards defining the surgical workforce for children: a geospatial analysis in Brazil
title_fullStr Towards defining the surgical workforce for children: a geospatial analysis in Brazil
title_full_unstemmed Towards defining the surgical workforce for children: a geospatial analysis in Brazil
title_short Towards defining the surgical workforce for children: a geospatial analysis in Brazil
title_sort towards defining the surgical workforce for children: a geospatial analysis in brazil
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202732/
https://www.ncbi.nlm.nih.gov/pubmed/32209626
http://dx.doi.org/10.1136/bmjopen-2019-034253
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