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Estimating the productivity of radiologists in Brazil: the search for a benchmark
OBJECTIVE: To determine the average productivity of radiologists, as measured by number of reports issued per 6-h shift, evaluating variables that could affect the results. MATERIALS AND METHODS: This was a study utilizing an online questionnaire sent to radiologists affiliated with the Brazilian Co...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170576/ https://www.ncbi.nlm.nih.gov/pubmed/32336821 http://dx.doi.org/10.1590/0100-3984.2019.0081 |
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author | Bretas, Elisa Almeida Sathler Guimarães, Ruy Moraes Machado Aihara, André Yui Leão Filho, Hilton Muniz Chojniak, Rubens Muglia, Valdair Francisco D’Ippolito, Giuseppe |
author_facet | Bretas, Elisa Almeida Sathler Guimarães, Ruy Moraes Machado Aihara, André Yui Leão Filho, Hilton Muniz Chojniak, Rubens Muglia, Valdair Francisco D’Ippolito, Giuseppe |
author_sort | Bretas, Elisa Almeida Sathler |
collection | PubMed |
description | OBJECTIVE: To determine the average productivity of radiologists, as measured by number of reports issued per 6-h shift, evaluating variables that could affect the results. MATERIALS AND METHODS: This was a study utilizing an online questionnaire sent to radiologists affiliated with the Brazilian College of Radiology and Diagnostic Imaging. The questions were related to the demographic profile and professional practice characteristics (form of remuneration, primary imaging method employed, and subspecialty) of the radiologists, as well as their individual productivity (average personal productivity) and the productivity considered reasonable in a 6-h shift. The association between productivity and the practice characteristics of the radiologists was determined by using Poisson regression to calculate the prevalence ratio. RESULTS: A total of 510 radiologists completed the questionnaire. The great majority of the respondents (84%) reported that their remuneration is directly related to their productivity. The productivity varied according to the subspecialty, work environment, and remuneration model. CONCLUSION: We demonstrated that the productivity of radiologists is associated with the characteristics of their employment. We hope that this study will encourage other studies aimed at evaluating the productive capacity of the radiologists in Brazil, addressing the various functions they perform in their daily routine, including activities other than issuing reports. |
format | Online Article Text |
id | pubmed-7170576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
record_format | MEDLINE/PubMed |
spelling | pubmed-71705762020-04-24 Estimating the productivity of radiologists in Brazil: the search for a benchmark Bretas, Elisa Almeida Sathler Guimarães, Ruy Moraes Machado Aihara, André Yui Leão Filho, Hilton Muniz Chojniak, Rubens Muglia, Valdair Francisco D’Ippolito, Giuseppe Radiol Bras Original Article OBJECTIVE: To determine the average productivity of radiologists, as measured by number of reports issued per 6-h shift, evaluating variables that could affect the results. MATERIALS AND METHODS: This was a study utilizing an online questionnaire sent to radiologists affiliated with the Brazilian College of Radiology and Diagnostic Imaging. The questions were related to the demographic profile and professional practice characteristics (form of remuneration, primary imaging method employed, and subspecialty) of the radiologists, as well as their individual productivity (average personal productivity) and the productivity considered reasonable in a 6-h shift. The association between productivity and the practice characteristics of the radiologists was determined by using Poisson regression to calculate the prevalence ratio. RESULTS: A total of 510 radiologists completed the questionnaire. The great majority of the respondents (84%) reported that their remuneration is directly related to their productivity. The productivity varied according to the subspecialty, work environment, and remuneration model. CONCLUSION: We demonstrated that the productivity of radiologists is associated with the characteristics of their employment. We hope that this study will encourage other studies aimed at evaluating the productive capacity of the radiologists in Brazil, addressing the various functions they perform in their daily routine, including activities other than issuing reports. Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2020 /pmc/articles/PMC7170576/ /pubmed/32336821 http://dx.doi.org/10.1590/0100-3984.2019.0081 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bretas, Elisa Almeida Sathler Guimarães, Ruy Moraes Machado Aihara, André Yui Leão Filho, Hilton Muniz Chojniak, Rubens Muglia, Valdair Francisco D’Ippolito, Giuseppe Estimating the productivity of radiologists in Brazil: the search for a benchmark |
title | Estimating the productivity of radiologists in Brazil: the search for a benchmark |
title_full | Estimating the productivity of radiologists in Brazil: the search for a benchmark |
title_fullStr | Estimating the productivity of radiologists in Brazil: the search for a benchmark |
title_full_unstemmed | Estimating the productivity of radiologists in Brazil: the search for a benchmark |
title_short | Estimating the productivity of radiologists in Brazil: the search for a benchmark |
title_sort | estimating the productivity of radiologists in brazil: the search for a benchmark |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170576/ https://www.ncbi.nlm.nih.gov/pubmed/32336821 http://dx.doi.org/10.1590/0100-3984.2019.0081 |
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