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Overview on and Contextual Determinants of Medical Residencies in North Brazil

The aim of this study was to analyze the scenario of medical residency programs (MRPs) in the north region of Brazil as well as the contextual determinants (socioeconomic, structural, and epidemiological) influencing the number of MRPs in this region. An ecological study was conducted using MRPs dat...

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Autores principales: Guimarães, Rafael Alves, Silva, Ana Luísa Guedes de França e, Naghettini, Alessandra Vitorino, Neves, Heliny Carneiro Cunha, Arantes, Fernanda Paula, Borges Junior, Cândido Vieira, da Silva Filho, Antônio Isidro, de Castro, Alessandra Rodrigues Moreira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137331/
https://www.ncbi.nlm.nih.gov/pubmed/37107917
http://dx.doi.org/10.3390/healthcare11081083
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author Guimarães, Rafael Alves
Silva, Ana Luísa Guedes de França e
Naghettini, Alessandra Vitorino
Neves, Heliny Carneiro Cunha
Arantes, Fernanda Paula
Borges Junior, Cândido Vieira
da Silva Filho, Antônio Isidro
de Castro, Alessandra Rodrigues Moreira
author_facet Guimarães, Rafael Alves
Silva, Ana Luísa Guedes de França e
Naghettini, Alessandra Vitorino
Neves, Heliny Carneiro Cunha
Arantes, Fernanda Paula
Borges Junior, Cândido Vieira
da Silva Filho, Antônio Isidro
de Castro, Alessandra Rodrigues Moreira
author_sort Guimarães, Rafael Alves
collection PubMed
description The aim of this study was to analyze the scenario of medical residency programs (MRPs) in the north region of Brazil as well as the contextual determinants (socioeconomic, structural, and epidemiological) influencing the number of MRPs in this region. An ecological study was conducted using MRPs data from 2022. This study used multiple data sources. MRP indicators were described based on the Brazilian state and specialty. The dependent variable was the number of MRPs. The independent variables included sociodemographic, structural, and epidemiological factors. Poisson regression was performed to analyze the association between contextual variables and the number of MRPs. The results showed that only 3.6% of the municipalities had authorized MRPs. The idleness rate in the region was 46.0%, with family and community medicine as the specialties with the greatest idleness. The total density of authorized vacancies in the MRPs was 14.0 vacancies per 100,000 inhabitants. The models showed that with each increase of one unit of the vulnerability index (Socioeconomic Index in the Geographic Context for Health Studies—GeoSES), the number of MRPs increased, ranging from 8122 (p value < 0.001) to 11,138 (p value < 0.001). With each increase in undergraduate degrees in medicine, the number of MRPs increased by 0.945 (p value < 0.001). With each increase of 1 physician per 1000 population, the number of MRPs increased from 0.537 (p value < 0.001) to 0.845 (p value < 0.001). With each increase of one unit in general hospitals, specialized hospitals, teaching hospitals, and primary healthcare units, the number of MRPs increased by 0.176 (p value < 0.001), 0.168 (p value < 0.001), 0.022 (p value < 0.001) and 0.032 (p value < 0.001), respectively. Finally, with each increase of one death per 100,000 inhabitants, the overall mortality rate increased, ranging from 0.006 (p value < 0.001) to 0.022 (p value < 0.001). The study showed a low supply of MRPs in the northern region, a high rate of idleness, and important socioeconomic, structural, and epidemiological determinants of the number of MRPs.
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spelling pubmed-101373312023-04-28 Overview on and Contextual Determinants of Medical Residencies in North Brazil Guimarães, Rafael Alves Silva, Ana Luísa Guedes de França e Naghettini, Alessandra Vitorino Neves, Heliny Carneiro Cunha Arantes, Fernanda Paula Borges Junior, Cândido Vieira da Silva Filho, Antônio Isidro de Castro, Alessandra Rodrigues Moreira Healthcare (Basel) Article The aim of this study was to analyze the scenario of medical residency programs (MRPs) in the north region of Brazil as well as the contextual determinants (socioeconomic, structural, and epidemiological) influencing the number of MRPs in this region. An ecological study was conducted using MRPs data from 2022. This study used multiple data sources. MRP indicators were described based on the Brazilian state and specialty. The dependent variable was the number of MRPs. The independent variables included sociodemographic, structural, and epidemiological factors. Poisson regression was performed to analyze the association between contextual variables and the number of MRPs. The results showed that only 3.6% of the municipalities had authorized MRPs. The idleness rate in the region was 46.0%, with family and community medicine as the specialties with the greatest idleness. The total density of authorized vacancies in the MRPs was 14.0 vacancies per 100,000 inhabitants. The models showed that with each increase of one unit of the vulnerability index (Socioeconomic Index in the Geographic Context for Health Studies—GeoSES), the number of MRPs increased, ranging from 8122 (p value < 0.001) to 11,138 (p value < 0.001). With each increase in undergraduate degrees in medicine, the number of MRPs increased by 0.945 (p value < 0.001). With each increase of 1 physician per 1000 population, the number of MRPs increased from 0.537 (p value < 0.001) to 0.845 (p value < 0.001). With each increase of one unit in general hospitals, specialized hospitals, teaching hospitals, and primary healthcare units, the number of MRPs increased by 0.176 (p value < 0.001), 0.168 (p value < 0.001), 0.022 (p value < 0.001) and 0.032 (p value < 0.001), respectively. Finally, with each increase of one death per 100,000 inhabitants, the overall mortality rate increased, ranging from 0.006 (p value < 0.001) to 0.022 (p value < 0.001). The study showed a low supply of MRPs in the northern region, a high rate of idleness, and important socioeconomic, structural, and epidemiological determinants of the number of MRPs. MDPI 2023-04-11 /pmc/articles/PMC10137331/ /pubmed/37107917 http://dx.doi.org/10.3390/healthcare11081083 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guimarães, Rafael Alves
Silva, Ana Luísa Guedes de França e
Naghettini, Alessandra Vitorino
Neves, Heliny Carneiro Cunha
Arantes, Fernanda Paula
Borges Junior, Cândido Vieira
da Silva Filho, Antônio Isidro
de Castro, Alessandra Rodrigues Moreira
Overview on and Contextual Determinants of Medical Residencies in North Brazil
title Overview on and Contextual Determinants of Medical Residencies in North Brazil
title_full Overview on and Contextual Determinants of Medical Residencies in North Brazil
title_fullStr Overview on and Contextual Determinants of Medical Residencies in North Brazil
title_full_unstemmed Overview on and Contextual Determinants of Medical Residencies in North Brazil
title_short Overview on and Contextual Determinants of Medical Residencies in North Brazil
title_sort overview on and contextual determinants of medical residencies in north brazil
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137331/
https://www.ncbi.nlm.nih.gov/pubmed/37107917
http://dx.doi.org/10.3390/healthcare11081083
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