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Study Identified Factors Predicting Prolonged Absence of Workers After Work Accidents

Summary by G5noticias
Research led by UTalca academics presented a series of findings on the different social and clinical variables that predict prolonged absence after work accidents. The age of the worker, the size of the company, and even the time and waiting time to be attended, are some of the variables that studied academics from the University of Talca to determine the factors that prolong the time of medical leave after work accidents.
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Study Identified Factors Predicting Prolonged Absence of Workers After Work Accidents

Research led by UTalca academics presented a series of findings on the different social and clinical variables that predict ausenc

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cronicadigital.cl broke the news in on Monday, September 8, 2025.
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