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Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study

BACKGROUND: The increase in violence against health professionals in the COVID-19 pandemic makes it necessary to identify the predictors of violence, in order to prevent these events from happening. OBJECTIVE: Evaluating the prevalence and analyzing the variables involved in the occurrence of violen...

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Autores principales: Bitencourt, Mariá Romanio, Alarcão, Ana Carolina Jacinto, Silva, Lincoln Luís, Dutra, Amanda de Carvalho, Caruzzo, Nayara Malheiros, Roszkowski, Igor, Bitencourt, Marcos Rogério, Marques, Vlaudimir Dias, Pelloso, Sandra Marisa, Carvalho, Maria Dalva de Barros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211185/
https://www.ncbi.nlm.nih.gov/pubmed/34138953
http://dx.doi.org/10.1371/journal.pone.0253398
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author Bitencourt, Mariá Romanio
Alarcão, Ana Carolina Jacinto
Silva, Lincoln Luís
Dutra, Amanda de Carvalho
Caruzzo, Nayara Malheiros
Roszkowski, Igor
Bitencourt, Marcos Rogério
Marques, Vlaudimir Dias
Pelloso, Sandra Marisa
Carvalho, Maria Dalva de Barros
author_facet Bitencourt, Mariá Romanio
Alarcão, Ana Carolina Jacinto
Silva, Lincoln Luís
Dutra, Amanda de Carvalho
Caruzzo, Nayara Malheiros
Roszkowski, Igor
Bitencourt, Marcos Rogério
Marques, Vlaudimir Dias
Pelloso, Sandra Marisa
Carvalho, Maria Dalva de Barros
author_sort Bitencourt, Mariá Romanio
collection PubMed
description BACKGROUND: The increase in violence against health professionals in the COVID-19 pandemic makes it necessary to identify the predictors of violence, in order to prevent these events from happening. OBJECTIVE: Evaluating the prevalence and analyzing the variables involved in the occurrence of violence against health professionals during the COVID-19 pandemic in Brazil. METHOD: This is a cross-sectional study conducted online involving Brazilian health professionals during the COVID-19 pandemic. The data were collected through a structured questionnaire (Google Online Form) sent to health professionals on social networks and analyzed through logistic regression by using sociodemographic variables. The set of grouped variables was assigned to the final model when p <0.05. A network was built using the Mixed Graph Models (MGM) approach. A centrality measurement chart was constructed to determine which nodes have the greatest influence, strength and connectivity between the nodes around them. RESULTS: The predictors of violence in the adjusted regression model were the following: being a nursing technician / assistant; having been working for less than 20 years; working for over 37 hours a week; having suffered violence before the pandemic; having been contaminated with COVID-19; working in direct contact with patients infected by the virus; and having family members who have suffered violence. The network created with professionals who suffered violence demonstrated that the aggressions occurred mainly in the workplace, with an indication of psycho-verbal violence. In cases in which the aggressors were close people, aggressions were non-verbal and happened both in public and private places. The assaults practiced by strangers occurred in public places. CONCLUSIONS: Violence against health professionals occurs implicitly and explicitly, with consequences that can affect both their psychosocial well-being and the assistance given to their patients and families.
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spelling pubmed-82111852021-06-29 Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study Bitencourt, Mariá Romanio Alarcão, Ana Carolina Jacinto Silva, Lincoln Luís Dutra, Amanda de Carvalho Caruzzo, Nayara Malheiros Roszkowski, Igor Bitencourt, Marcos Rogério Marques, Vlaudimir Dias Pelloso, Sandra Marisa Carvalho, Maria Dalva de Barros PLoS One Research Article BACKGROUND: The increase in violence against health professionals in the COVID-19 pandemic makes it necessary to identify the predictors of violence, in order to prevent these events from happening. OBJECTIVE: Evaluating the prevalence and analyzing the variables involved in the occurrence of violence against health professionals during the COVID-19 pandemic in Brazil. METHOD: This is a cross-sectional study conducted online involving Brazilian health professionals during the COVID-19 pandemic. The data were collected through a structured questionnaire (Google Online Form) sent to health professionals on social networks and analyzed through logistic regression by using sociodemographic variables. The set of grouped variables was assigned to the final model when p <0.05. A network was built using the Mixed Graph Models (MGM) approach. A centrality measurement chart was constructed to determine which nodes have the greatest influence, strength and connectivity between the nodes around them. RESULTS: The predictors of violence in the adjusted regression model were the following: being a nursing technician / assistant; having been working for less than 20 years; working for over 37 hours a week; having suffered violence before the pandemic; having been contaminated with COVID-19; working in direct contact with patients infected by the virus; and having family members who have suffered violence. The network created with professionals who suffered violence demonstrated that the aggressions occurred mainly in the workplace, with an indication of psycho-verbal violence. In cases in which the aggressors were close people, aggressions were non-verbal and happened both in public and private places. The assaults practiced by strangers occurred in public places. CONCLUSIONS: Violence against health professionals occurs implicitly and explicitly, with consequences that can affect both their psychosocial well-being and the assistance given to their patients and families. Public Library of Science 2021-06-17 /pmc/articles/PMC8211185/ /pubmed/34138953 http://dx.doi.org/10.1371/journal.pone.0253398 Text en © 2021 Bitencourt et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bitencourt, Mariá Romanio
Alarcão, Ana Carolina Jacinto
Silva, Lincoln Luís
Dutra, Amanda de Carvalho
Caruzzo, Nayara Malheiros
Roszkowski, Igor
Bitencourt, Marcos Rogério
Marques, Vlaudimir Dias
Pelloso, Sandra Marisa
Carvalho, Maria Dalva de Barros
Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study
title Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study
title_full Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study
title_fullStr Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study
title_full_unstemmed Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study
title_short Predictors of violence against health professionals during the COVID-19 pandemic in Brazil: A cross-sectional study
title_sort predictors of violence against health professionals during the covid-19 pandemic in brazil: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211185/
https://www.ncbi.nlm.nih.gov/pubmed/34138953
http://dx.doi.org/10.1371/journal.pone.0253398
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