Navegando por Palavras-chave "musculoskeletal disease"
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- ItemSomente MetadadadosAfastamentos dos servidores de uma Universidade federal no período de dez anos: análise do resultado das pericias em pacientes com diagnóstico de ler/dort(Universidade Federal de São Paulo (UNIFESP), 2013-11-27) Matsushigue, Thais [UNIFESP]; Belloti, Joao Carlos Belloti [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)Context and Objective: The national and international literature have studies linking absenteeism with the existence of musculoskeletal diseases and occupational risks, but without a focus on the outcomes of the absences due to these diseases, which is th
- ItemSomente MetadadadosAfastamentos dos servidores de uma Universidade federal no período de dez anos: análise do resultado das pericias em pacientes com diagnóstico de ler/dort(Universidade Federal de São Paulo (UNIFESP), 2013-11-27) Matsushigue, Thais [UNIFESP]; Belloti, Joao Carlos Belloti [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)Context and Objective: The national and international literature have studies linking absenteeism with the existence of musculoskeletal diseases and occupational risks, but without a focus on the outcomes of the absences due to these diseases, which is the goal of this study. Design and setting: This is a historical cohort of federal employees from a university (Universidade Federal de São Paulo - UNIFESP-EPM) Methods: We analyzed medical records of servers absent by a minimum of 30 days and analyzed data including age, gender, time of absence, diagnosis and outcome of removal (sick leave, return to activity, activity change and retirement) Results: We evaluated a total of 7573 events and 1792 were included in the category M of ICD-10 and 5781 in the other categories. Retirement for ICD-10 M (45,2%) was higher than the other diagnoses (27.6%) being the main type because of disability (22.6%), followed by years of service (16.4%) and proportional (6.2%) with p <0.001. The time off also was statistically higher in the M class ICD-10 (41,2%) compared to the other classes (36.8%). Conclusions: Our study showed a higher rate of retirements, as well as higher rate of absence, and longer time of absence in employees diagnosed with musculoskeletal disorders, justifying clinical studies aiming the realization of preventive interventions in occupational health