Absenteísmo-doença entre servidores públicos do setor saúde do Distrito Federal

Abstract

Background: To describe the profile and indicators of sickness absence for civil servants allocated to the 18 public health units of a Federal District (Brasilia) Health Region, Brazil. Methods: Cross-sectional study of all sick leaves longer than 3 days granted in 2014. Sickness absence indicators were calculated and analyzed per sex, marital status, age, educational level, professional category, length in the job, working hours and workplace. Results: The analyzed population (n=2,501) was granted 2,205 sick leaves in total, corresponding to 40,755 missed work days. The prevalence of sickness absence was 39%, the leave frequency index 88%, the severity index 16 days, the average sickness absence length 42 days, and the average length of leaves 18 days. More than 85% of the missed work days corresponded to workers with recurrence of sickness absence. Mental and behavioral disorders and musculoskeletal diseases were the main causes of sick leave. Conclusion: Planning health actions demands accurate knowledge of the characteristics and morbidity profile of this population of workers. The results of the present study express the magnitude of sickness absence in the public health sector, and point to the need for thorough change in the organization of the work process and innovative interventions in the workplace. Keywords | absenteeism; public sector; sick leave; occupational health. RESUMO | Introdução:Descrever o perfil e os indicadores de absenteísmo-doença entre servidores de 18 unidades de saúde pública de uma Regional de Saúde do Distrito Federal (Brasília), Brasil. Métodos: Estudo transversal de todas as licenças médicas homologadas em 2014 superiores a três dias. Os indicadores de absenteísmo-doença foram calculados de acordo com sexo, estado civil, faixa etária, nível de escolaridade, categoria profissional, tempo de serviço, carga horária e lotação. Resultados: A população de 2.501 servidores apresentou 2.205 licenças médicas que resultaram em 40.755 dias de trabalho perdidos. Os indicadores demonstraram prevalência de absenteísmo-doença de 39%, índice de frequência de licenças de 88%, índice de gravidade de 16 dias, duração média do absenteísmo-doença de 42 dias e duração média das licenças de 18 dias. Mais de 85% dos dias perdidos foram atribuídos aos servidores com recorrência de licenças médicas. Transtornos mentais e comportamentais, além das doenças osteomusculares, representaram maiores causas de afastamento. Conclusão: O planejamento das ações em saúde do servidor exige o conhecimento das características dessa população, bem como do perfil de morbidade. Os resultados apresentados expressam a magnitude do absenteísmo-doença no setor saúde do serviço público e apontam para a necessidade de mudanças profundas na organização do processo de trabalho, com intervenções inovadoras nos espaços profissionais.

Absenteeism-illness of education servers: profile of sick leaves in a federal institution

“…The educational level of the position also had an inverse association with the number of workdays lost. This confirms the findings of other studies, national and international, with state servants, who concluded that the absenteeism -illness is higher in individuals with positions with lower remuneration and with the requirement of less schooling, especially in the education sector (SANTI & CHEADE, 2018;LEÃO et al, 2015;LEMOS et al, 2018;BASTOS et al, 2018).…”

“…On the associations with more days of leave, we can highlight the positiv e relationship between the increase in age and the increase of days of sick leave. This finding validates data from other studies that have identified an increase of leaves for the treatment of health with increasing age of workers, reaching the conclusion that this increase may be linked to other reasons besides health problems, as related to motivational factors (SANTI & CHEADE, 2018;LEMOS et al, 2018;PIZZIO & KLEIN, 2018;RAMOS & MACÊDO, 2018). Other articles find more leaves between the age ranges of 30 to 40 years old (SANTI & CHEADE, 2018;LEMOS et al, 2018).…”

“…Already the IF (which represents the prevalence of leaves within the institution) did not show the same growing tendency that the TAD and the IG, because it has decreased last year of the study period, but remained at high levels, from 2015 to 2017, if considered the value accepted by the OIT, which is above 60 (SUMAMEN et al, 2015). Comparing the values of the IF found in this study with those of other studies performed in public servers, we noticed that the IF identified in the present study has relevance (SANTOS & MATTOS, 2010;LEMOS et al, 2018).…”

“…Absenteeism-disease has become the target of concern in public organizations, both by the economic impact generated by National Treasury regarding the service shortfall, affecting society in general (GUIMARÃES et al, 2016;LEMOS et al, 2018). Regardless of the position it occupies, the worker is an important agent in the social construction, and corresponds to 10% of the total number of workers in the country, which proportionally represents half of the total number of workers in France and one-third of that Denmark employs (OCDE, 2015).…”

Violência Psicológica Contra Crianças: Caracterização Dos Casos Notificados No Espírito Santo

“…Pizzio; Klein, 2018), podendo o ambiente de trabalho ser considerado um fator de risco ou um agravante de problemas de saúde pré-existentes nos trabalhadores (IPEA, 2016;Lemos et al, 2018;Reis, 2013), chegando a acarretar aposentadorias prematuras (SEGEP/ MP, 2017; Andrade et al, 2008;Head, 2008). No âmbito nacional, as aposentadorias pagas precocemente (antes dos 60 anos de idade), no ano de 2015, correspondeu a 2% do PIB brasileiro (Santos;Mattos, 2010), além de 1,3% das aposentadorias de servidores públicos federais serem consideradas prematuras e 4,7% ser por invalidez para o trabalho (Guimarães et al, 2016).…”