Workloads, strain processes and sickness absenteeism in nursing

OBJECTIVE: to analyze the workloads, strain processes and sickness absenteeism among nursing workers from a teaching hospital in the Brazilian Central-West. METHOD: a descriptive and cross-sectional study was developed with a quantitative approach, based on the theoretical framework of the social de...

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Bibliographic Details
Main Authors: Vivian Aline Mininel, Vanda Elisa Andres Felli, Everaldo José da Silva, Zelinda Torri, Ana Paula Abreu, Maria Tereza Afonso Branco
Format: Article
Language:English
Published: Universidade de São Paulo 2013-12-01
Series:Revista Latino-Americana de Enfermagem
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692013000601290&lng=en&tlng=en
Description
Summary:OBJECTIVE: to analyze the workloads, strain processes and sickness absenteeism among nursing workers from a teaching hospital in the Brazilian Central-West. METHOD: a descriptive and cross-sectional study was developed with a quantitative approach, based on the theoretical framework of the social determination of the health-disease process. Data were collected between January and December 2009, based on records of complaints related to occupational exposure among nursing professionals, filed in the software Monitoring System of Nursing Workers' Health. For the sake of statistical analysis, relative and absolute frequencies of the variables and the risk coefficient were considered. RESULTS: 144 notifications of occupational exposure were registered across the analysis period, which represented 25% of the total nursing population at the hospital. The physiological and psychic workloads were the most representative, corresponding to 37% and 36%, respectively. These notifications culminated in 1567 days of absenteeism for disease treatment. CONCLUSIONS: the findings evidence the impact of occupational illnesses on the absenteeism of nursing workers, and can be used to demonstrate the importance of institutional investments in occupational health surveillance.
ISSN:1518-8345