Examinando por Autor "Tasayco Llata, Elizabeth Milagros"
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Ítem Acceso abierto Academic performance and factors contributing to university dropout among nursing students at a private university in 2018(Universidad Privada Norbert Wiener, 2018-11-29) Tasayco Llata, Elizabeth Milagros; Pachao Díaz, Sandra Milagros; Calsin Pacompia, WilmerObjective: Determine the relationship between academic performance and university dropout factors in nursing students from a Private University in 2018. Material and Method: quantitative, descriptive, retrospective, cross-sectional approach. The sample was 105 students who abandoned their studies in two semesters of study (period 2016 I and 2016 II). A validated instrument was used with Cronbach's alpha with a value of r = 0.853, Spearman's Rho of sig. 0.049, less than 0.05, therefore there is a relationship between academic performance and university dropout. Results: it was found that 54% have low academic performance, 44% have average performance and 2% have excellent performance. On the other hand, among the dropout factors that were found, the economic factor was the one that prevailed in 46%, followed by the academic factor in 32% and the social cultural factor in 22%. Conclusions: It was found that more than Half of the students had low academic performance and of these, half dropped out due to economic factors.Ítem Acceso abierto Family satisfaction and nursing care in ICU patients at Guillermo Almenara Yrigoyen Hospital, Lima 2022(Universidad Privada Norbert Wiener, 2022-03-27) Tasayco Llata, Elizabeth Milagros; Gonzales Saldaña, Susan HaydeeThe present research titled “Level of satisfaction of the family member and nursing care in patients of the Intensive Care Unit of the Guillermo Almenara Yrigoyen Lima 2022 National Hospital” aimed to analyze the relationship between the level of satisfaction of the family member and nursing care in patients of the Intensive Care Unit of the Guillermo Almenara Yrigoyen Hospital Lima 2022. Material and Method: This research has a quantitative approach, because data collection is used to demonstrate the hypothesis supporting the statistical analysis and the analysis of qualities or attributes described to determine the results of the behavioral models in a population. This approach is based on analyzing an objective reality based on numerical measurements and statistical analysis to determine predictions or patterns of behavior of the phenomenon or problem posed.
