Citas bibligráficas
Aquije, G., Jesús, R. (2020). El estrés laboral en la dirección de economía de la Dirección Regional de Salud Loreto de la ciudad de Iquitos, año 2019 [Universidad Nacional de la Amazonía Peruana]. https://hdl.handle.net/20.500.12737/7589
Aquije, G., Jesús, R. El estrés laboral en la dirección de economía de la Dirección Regional de Salud Loreto de la ciudad de Iquitos, año 2019 []. PE: Universidad Nacional de la Amazonía Peruana; 2020. https://hdl.handle.net/20.500.12737/7589
@misc{renati/923236,
title = "El estrés laboral en la dirección de economía de la Dirección Regional de Salud Loreto de la ciudad de Iquitos, año 2019",
author = "Jesús Vargas De Vilca, Rosa Del Carmen",
publisher = "Universidad Nacional de la Amazonía Peruana",
year = "2020"
}
The objective of the research was to describe work stress in the economic department of the Loreto regional health department in the city of Iquitos, period 2019. The methodology was quantitative, with a non-experimental research design, descriptive transversal type . The population and sample was made up of 30 workers from the Loreto Regional Health Directorate of the City of Iquitos, period 2019, being a non-probabilistic sampling. The survey technique was applied, a 14-question questionnaire for the variable under study of work stress structured in the dimensions: positive stress and negative stress using a Likert-type scale was used as an instrument to collect the information. The result of the descriptive analysis of the positive stress dimension, describes that 93% of the sample is characterized with a diagnosis of absence of stress and functional stress, (being positive stress or euters) and 7% with moderate stress (negative stress or distress). In the negative stress dimension, 73% of the sample is characterized with a diagnosis of moderate and acute stress, (being negative stress or distress) and 27% with functional stress (positive stress or euters). We conclude that the percentage of negative stress diagnosis is not less than 50%. That is, with the non-parametric analysis, it can be inferred in the population that distress can be greater than 50%.
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