期刊论文详细信息
Revista Brasileira de Epidemiologia
Sickness absence in a municipal public service of Goiânia, Brazil
Rassi Neto, Elias1  Ribeiro, Cristina Aparecida Neves3  Turchi, Marília Dalva1  Barbosa-Branco, Anadergh2  Leão, Ana Lúcia de Melo1 
[1] Universidade Federal de Goiás, Goiânia, Brasil;Universidade de Brasília, Brasília, Brasil;Prefeitura de Goiânia, Goiânia, Brasil
关键词: Sick leave;    Absenteeism;    Mental disorders;    Musculoskeletal diseases;    Occupational health;    Indicators;   
DOI  :  10.1590/1980-5497201500010020
学科分类:过敏症与临床免疫学
来源: SciELO
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【 摘 要 】

BACKGROUND: Sickness absence, as work absenteeism justified by medical certificate, is an important health status indicator of the employees and, overall, sociodemographic and occupational characteristics are among the main factors associated with sickness absence. Public administration accounts for 21.8% of the formal job positions in Brazil. This population allows the study of a wide range of professional categories. OBJECTIVE: To assess the profile and indicators of sickness absence among public workers from the municipality of Goiania, in the State of Goiás, Brazil. METHODS: A cross-sectional study on certified sick leaves, lasting longer than three days, of all civil servants from January 2005 to December 2010. Prevalence rates were calculated using as main criteria the number of individuals, episodes and sick days. RESULTS: 40,578 certified sick leaves were granted for health treatment among 13,408 public workers, in an annual average population of 17,270 people, which resulted in 944,722 days of absenteeism. The cumulative prevalence of sick leave for the period was of 143.7%, with annual average of 39.2% and duration of 23 days per episode. The cumulative prevalence of sickness absence was higher among women (52.0%), older than 40 years old (55.9%), with a partner (49.9%), low schooling (54.4%), education professionals (54.7%), > 10 years of service (61.9%), and with multiple work contracts (53.7%). Diagnoses groups (ICD-10) with higher cumulative prevalence of sick leaves were those with mental disorders (26.5%), musculoskeletal diseases (25.1%), and injuries (23.6%). CONCLUSIONS: Indicators of sickness absence express the magnitude of this phenomenon in the public sector and can assist in planning health actions for the worker, prioritizing the most vulnerable occupational groups.

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