Factores demográficos, sociales, económicos, laborales y académicos y su relación con el estrés laboral en personal del centro de salud de morona cocha - Iquitos 2024
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Date
2025-10-28
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Universidad Científica del Perú
Abstract
Objetivo: Establecer la relación existente entre los factores demográficos, sociales,
económicos, laborales y académicos con el estrés laboral en personal del centro de
salud de Morona Cocha - Iquitos 2024.
Materiales: Como instrumentos para evaluar las dos variables consideradas en la
investigación se utilizó, en primer lugar, una adaptación simplificada de la Encuesta
Nacional de Hogares (INEI, 2024) para la determinación de los factores
demográficos, sociales, económicos, laborales y académicos. Para la evaluación del
Estrés Laboral se utilizó el Maslach Burnout Inventory Human Services for Medical
Personnel (MBI:HSS:MP) Variante para personal de salud: Médicos, Enfermeras,
Psicólogos y otras especialidades afines desarrollado por Christina Maslach (1996)
y adaptado para nuestro medio por Aquino (2017) y numerosas investigaciones
posteriores que han confirmado su validez y confiabilidad. La población de la
investigación estuvo conformada por un total de 154 personas integrantes activos
del personal profesional de Salud que labora en el Centro de salud de Morona Cocha
- Iquitos 2024. En cuanto a la muestra de la investigación se consideró que, siendo
la población bastante reducida, el aplicar un proceso de muestreo probabilístico
hubiese reducido aún más la cantidad de encuestados. Por esta razón se aplicó un
censo. Es decir, se trabajó con la totalidad de la población. El muestreo fue, por
tanto, no probabilístico, intencional y censal.
Método: El enfoque de la investigación fue el cuantitativo porque los cuestionarios
aplicados proporcionaron puntajes numéricos que fueron procesados
estadísticamente, el tipo de investigación fue descriptiva – explicativa, porque se
caracterizó las variables y se explicó el nivel de asociación entre ellas, el nivel de
nivel de la investigación fue el “correlacional” ya que buscó determinar el grado de
correlación entre las variables consideradas. El diseño de la investigación fue “no
experimental”, porque no se manipuló ninguna variable. La investigación fue de
“corte transversal”, porque analizó el fenómeno en un lugar y momento determinado
y fue un tipo de estudio “prospectivo” porque permitió efectuar un análisis orientado
a pronosticar lo que se prevé o espera que suceda en el futuro.
Resultados: Las correlaciones encontradas entre los factores demográficos,
sociales, económicos, laborales y académicos con el estrés laboral en personal del
centro de salud la significativas, motivo por el cual se consideraron verificadas y
comprobadas.
Conclusiones: Se constató estadísticamente la existencia de una relación directa y
significativa entre los factores demográficos, sociales, económicos, laborales y
académicos con el estrés laboral en personal del centro de salud.
Objective: To establish the relationship between demographic, social, economic, labor, and academic factors and work-related stress among staff at the Morona Cocha Health Center - Iquitos 2024. Materials: As instruments to evaluate the two variables considered in the research, a simplified adaptation of the National Household Survey (INEI, 2024) was first used to determine the demographic, social, economic, labor, and academic factors. For the evaluation of Work Stress, the Maslach Burnout Inventory Human Services for Medical Personnel (MBI:HSS:MP) was used, specifically the variant for healthcare personnel: Doctors, Nurses, Psychologists, and other related specialties, developed by Christina Maslach (1996) and adapted for our context by Aquino (2017) and numerous subsequent studies that have confirmed its validity and reliability. The research population consisted of a total of 154 active members of the professional health staff working at the Morona Cocha Health Center - Iquitos 2024. Regarding the research sample, it was considered that, given the relatively small population, applying a probabilistic sampling process would have further reduced the number of respondents. For this reason, a census wascapplied. That is to say, the entire population was worked with. The sampling was,ctherefore, non-probabilistic, intentional, and census-based.cMethod: The research approach was quantitative because the applied questionnairescprovided numerical scores that were statistically processed. The type of research wascdescriptive-explanatory because the variables were characterized and the level of association between them was explained. The level of the research was "correlational" as it sought to determine the degree of correlation between the considered variables. The research design was "non-experimental" because no variable was manipulated. The research was "cross-sectional" because it analyzed the phenomenon at a specific place and time, and it was a type of "prospective" study because it allowed for an análisis aimed at predicting what is anticipated or expected to happen in the future. Results: The correlations found between demographic, social, economic, labor, and academic factors with work-related stress in health center staff were significant, which is why they were considered verified and confirmed. Conclusions: A statistically significant direct relationship was found between demographic, social, economic, labor, and academic factors and job stress among health center staff.
Objective: To establish the relationship between demographic, social, economic, labor, and academic factors and work-related stress among staff at the Morona Cocha Health Center - Iquitos 2024. Materials: As instruments to evaluate the two variables considered in the research, a simplified adaptation of the National Household Survey (INEI, 2024) was first used to determine the demographic, social, economic, labor, and academic factors. For the evaluation of Work Stress, the Maslach Burnout Inventory Human Services for Medical Personnel (MBI:HSS:MP) was used, specifically the variant for healthcare personnel: Doctors, Nurses, Psychologists, and other related specialties, developed by Christina Maslach (1996) and adapted for our context by Aquino (2017) and numerous subsequent studies that have confirmed its validity and reliability. The research population consisted of a total of 154 active members of the professional health staff working at the Morona Cocha Health Center - Iquitos 2024. Regarding the research sample, it was considered that, given the relatively small population, applying a probabilistic sampling process would have further reduced the number of respondents. For this reason, a census wascapplied. That is to say, the entire population was worked with. The sampling was,ctherefore, non-probabilistic, intentional, and census-based.cMethod: The research approach was quantitative because the applied questionnairescprovided numerical scores that were statistically processed. The type of research wascdescriptive-explanatory because the variables were characterized and the level of association between them was explained. The level of the research was "correlational" as it sought to determine the degree of correlation between the considered variables. The research design was "non-experimental" because no variable was manipulated. The research was "cross-sectional" because it analyzed the phenomenon at a specific place and time, and it was a type of "prospective" study because it allowed for an análisis aimed at predicting what is anticipated or expected to happen in the future. Results: The correlations found between demographic, social, economic, labor, and academic factors with work-related stress in health center staff were significant, which is why they were considered verified and confirmed. Conclusions: A statistically significant direct relationship was found between demographic, social, economic, labor, and academic factors and job stress among health center staff.
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Factores demográficos, Factores sociales, Factores económicos, Factores laborales, Factores académicos, Estrés laboral, Correlación Chi Cuadrado de Pearson, Demographic factors, Social factors, Economic factors, Labor factors, Academic factors, Work-related stress, Pearson Chi-Square
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