Temporal trends in occupational accidents involving exposure to biological material in Brazil, 2010 to 2016.

Introduction: Accidents involving biological material are the main cause of occupational exposure among health care professionals.

Objectives: To analyze trends in the number of accidents involving exposure to biological material among health care workers in Brazil, in the period of 2010 to 2016.

Methods: This was an ecological study based on secondary data on occupational accidents involving biological material reported to the Information System for Notifiable Diseases (Sistema Nacional de Agravos de Notificação).

Trends in the use of personal protective equipment by health care workers who experienced occupational accidents in Brazil.

Introduction: Personal protective equipment creates a protective barrier for mucous membranes, airways, and skin in situations with possible exposure to biological material.

Objectives: To analyze temporal trends in the use of personal protective equipment at the time of accidental exposure to biological materials in Brazilian health care workers.

Methods: This was an ecological time series study of the use of personal protective equipment in health professionals who experienced accidental exposure to biological materials.

Incidence of work accidents involving exposure to biological materials among healthcare workers in Brazil, 2010-2016.

Background: Work accidents involving exposure to biological materials (WAEMB) are frequent among healthcare workers (HCW) and might have consequences for their health.

Objective: To describe the characteristics of WAEMB involving HCW and post-exposure measures in Brazil as a whole.

Methods: Ecological study based on secondary data recorded by System of Information on Notifiable Diseases (SINAN) for the period from 2010 to 2016.

Workplace accidents among hospital cleaning professionals at a hospital in the city of Maranhão, Brazil.

The goal of this study was to investigate the prevalence and factors associated with workplace accidents among hospital cleaning professionals. This is a cross-sectional, analytical study of a sample of 199 cleaning workers at six hospitals in São Luís, Maranhão, Brazil. We first ran a univariate analysis, and later the Poisson regression analyzes with robust variance were used, with hierarchized modeling of the data in order to estimate the prevalence ratios (PR) between the independent variables and the outcome (workplace accidents).

Factors associated with use of personal protective equipment by health care professionals who suffered accidents with biological materials in the State of Maranhão, Brazil.

Background: Health care professionals are at high risk for work accidents; within this context, personal protective equipment (PPE) acts as a barrier and affords protection in any situation of potential exposure to biological materials.

Objective: To analyze associated factors and determine the frequency of adherence to use of PPE by health care professionals from the state of Maranhão who suffered sharps injuries at work.

Methods: A cross-sectional epidemiological and analytical study based on secondary data from the System of Information on Notifiable Diseases (Sistema de Informação de Agravos de Notificação - SINAN) was performed with health care professionals who suffered sharps injuries from 2010 to 2015.

Quality of the data in the information system for work accidents under exposure to biological materials in Brazil, 2010 to 2015.

Background: Health information systems allow for the identification of problems in this field, and often represent the single source of information; therefore, accurate determination of their quality is crucial.

Aims: To analyze accessibility, opportunity and completeness as criteria for the quality of the information provided by System of Information for Notifiable Conditions (Sistema de Informação sobre Agravos de Notificação - SINAN) on Work Accidents under Exposure to Biological Materials (Acidentes de Trabalho com Exposição a Material Biológico - ATEMB) from 2010 to 2015.

Methods: Observational and descriptive study based on secondary SINAN data on ATEMB.