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Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil
BACKGROUND: Lack of providers in surgery, anesthesia, and obstetrics (SAO) is a primary driver of limited surgical capacity worldwide. We aimed to identify predictors of entry into Surgery, Anesthesia, and Obstetrics and Gynecology (SAO) fields and preference of working in the public sector in Brazi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505198/ https://www.ncbi.nlm.nih.gov/pubmed/31068165 http://dx.doi.org/10.1186/s12909-019-1562-6 |
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author | Guilloux, Aline Gil Alves Ramos, Jania A. Citron, Isabelle Roa, Lina Amundson, Julia Massenburg, Benjamin B. Saluja, Saurabh Miotto, Bruno Alonso Alonso, Nivaldo Scheffer, Mario César |
author_facet | Guilloux, Aline Gil Alves Ramos, Jania A. Citron, Isabelle Roa, Lina Amundson, Julia Massenburg, Benjamin B. Saluja, Saurabh Miotto, Bruno Alonso Alonso, Nivaldo Scheffer, Mario César |
author_sort | Guilloux, Aline Gil Alves |
collection | PubMed |
description | BACKGROUND: Lack of providers in surgery, anesthesia, and obstetrics (SAO) is a primary driver of limited surgical capacity worldwide. We aimed to identify predictors of entry into Surgery, Anesthesia, and Obstetrics and Gynecology (SAO) fields and preference of working in the public sector in Brazil which may help in profiling medical students for recruitment into these needed areas. METHODS: A questionnaire was applied to all Brazilian medical graduates registered with a Board of Medicine from 2014 to 2015. Twenty-three characteristics were analyzed. Logistic regression was used to determine predictors’ influence on outcome. RESULTS: There were 4601 (28.2%) responders to the survey, of which 40.5% (CI 34.7–46.5%) plan to enter SAO careers. Of the 23 characteristics analyzed, eight differed significantly between those who planned to work in SAO and those who did not. Of those eight characteristics, just three were significant predictors in the regression model: preference for working in the hospital setting, having spent more than 70% of their clinical years in practical activities, and valuing the substantial earning potential. These three factors explained only 6.3% of the variance in SAO preference. Within the graduates who preferred SAO careers, there were only two predictors for working in the public sector (“preparatory time before medical school” and valuing “prestige/status”). CONCLUSIONS: Factors affecting specialty and sector choice are multifaceted and difficult to predict. Future programs to fill provider gaps should identify methods other than medical student profiling to assure specialty and sector needs are met. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12909-019-1562-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6505198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65051982019-05-10 Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil Guilloux, Aline Gil Alves Ramos, Jania A. Citron, Isabelle Roa, Lina Amundson, Julia Massenburg, Benjamin B. Saluja, Saurabh Miotto, Bruno Alonso Alonso, Nivaldo Scheffer, Mario César BMC Med Educ Research Article BACKGROUND: Lack of providers in surgery, anesthesia, and obstetrics (SAO) is a primary driver of limited surgical capacity worldwide. We aimed to identify predictors of entry into Surgery, Anesthesia, and Obstetrics and Gynecology (SAO) fields and preference of working in the public sector in Brazil which may help in profiling medical students for recruitment into these needed areas. METHODS: A questionnaire was applied to all Brazilian medical graduates registered with a Board of Medicine from 2014 to 2015. Twenty-three characteristics were analyzed. Logistic regression was used to determine predictors’ influence on outcome. RESULTS: There were 4601 (28.2%) responders to the survey, of which 40.5% (CI 34.7–46.5%) plan to enter SAO careers. Of the 23 characteristics analyzed, eight differed significantly between those who planned to work in SAO and those who did not. Of those eight characteristics, just three were significant predictors in the regression model: preference for working in the hospital setting, having spent more than 70% of their clinical years in practical activities, and valuing the substantial earning potential. These three factors explained only 6.3% of the variance in SAO preference. Within the graduates who preferred SAO careers, there were only two predictors for working in the public sector (“preparatory time before medical school” and valuing “prestige/status”). CONCLUSIONS: Factors affecting specialty and sector choice are multifaceted and difficult to predict. Future programs to fill provider gaps should identify methods other than medical student profiling to assure specialty and sector needs are met. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12909-019-1562-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-08 /pmc/articles/PMC6505198/ /pubmed/31068165 http://dx.doi.org/10.1186/s12909-019-1562-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Guilloux, Aline Gil Alves Ramos, Jania A. Citron, Isabelle Roa, Lina Amundson, Julia Massenburg, Benjamin B. Saluja, Saurabh Miotto, Bruno Alonso Alonso, Nivaldo Scheffer, Mario César Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil |
title | Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil |
title_full | Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil |
title_fullStr | Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil |
title_full_unstemmed | Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil |
title_short | Profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in Brazil |
title_sort | profiling recent medical graduates planning to pursue surgery, anesthesia and obstetrics in brazil |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505198/ https://www.ncbi.nlm.nih.gov/pubmed/31068165 http://dx.doi.org/10.1186/s12909-019-1562-6 |
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