Sistemas de informação sobre infecção relacionada à assistência à saúde (IRAS): delineando a realidade das regiões sudeste e sul do Brasil
TL;DRAbstract
The formation of a consistent surveillance system for generating information about healthcare associated infections (HAI) is an essential measure to perform a reliable diagnosis of situation in order to formulate strategies for prevention and control of this phenomenon. In Brazil, several initiatives seeking the development an efficient and effective system are being established, some with deserved prominence; however this is a reality yet unknown, which can generate networking disintegrated and individualized. Objective: This study aims to characterize the Southeast and South of Brazil, which has the largest concentration of health services, with regard to the information system of HAI`s, recognizing strategies defined by State Health Departments and discussing the outcome based on the internationally acknowledged systems. Metodology: A crosssectional study, exploratory and descriptive, with quantitative approach, for diagnostic status of HAI`s information systems deployed by State He
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The formation of a consistent surveillance system for generating information about healthcare associated infections (HAI) is an essential measure to perform a reliable diagnosis of situation in order to formulate strategies for prevention and control of this phenomenon. In Brazil, several initiatives seeking the development an efficient and effective system are being established, some with deserved prominence; however this is a reality yet unknown, which can generate networking disintegrated and individualized. Objective: This study aims to characterize the Southeast and South of Brazil, which has the largest concentration of health services, with regard to the information system of HAI`s, recognizing strategies defined by State Health Departments and discussing the outcome based on the internationally acknowledged systems. Metodology: A crosssectional study, exploratory and descriptive, with quantitative approach, for diagnostic status of HAI`s information systems deployed by State He
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