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

Autor: Igor Roszkowski, Sandra Marisa Pelloso, Vlaudimir Dias Marques, Ana Carolina Jacinto Alarcão, Nayara Malheiros Caruzzo, Mariá Romanio Bitencourt, Amanda de Carvalho Dutra, Maria Dalva de Barros Carvalho, Lincoln Luís Silva, Marcos Rogério Bitencourt
Rok vydání: 2021
Předmět:
Male
Viral Diseases
Science and Technology Workforce
Epidemiology
Cross-sectional study
Social Sciences
Intimate Partner Violence
Criminology
Careers in Research
Logistic regression
Geographical locations
Medical Conditions
0302 clinical medicine
Sociology
Risk Factors
Surveys and Questionnaires
Pandemic
Prevalence
Medicine and Health Sciences
Psychology
Public and Occupational Health
030212 general & internal medicine
Workplace
Aged
80 and over
Multidisciplinary
Technician
Traumatic Injury Risk Factors
Regression analysis
Middle Aged
Aggression
Professions
Infectious Diseases
Medicine
Workplace Violence
Female
Crime
medicine.symptom
0305 other medical science
Psychosocial
Brazil
Research Article
Adult
medicine.medical_specialty
Science Policy
Science
Health Personnel
Young Adult
03 medical and health sciences
medicine
Humans
Pandemics
Violent Crime
Aged
Behavior
030505 public health
Workplace violence
SARS-CoV-2
COVID-19
Biology and Life Sciences
Covid 19
South America
Technicians
Cross-Sectional Studies
Medical Risk Factors
Family medicine
Population Groupings
People and places
Zdroj: PLoS ONE
PLoS ONE, Vol 16, Iss 6, p e0253398 (2021)
ISSN: 1932-6203
Popis: 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 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.
Databáze: OpenAIRE
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