Factores determinantes del absentismo laboral de los trabajadores del sector público de la ciudad de Trujillo – 2021

La presente investigación tuvo como objetivo los factores determinantes del absentismo laboral de los trabajadores del sector público de la ciudad de Trujillo, en donde los trabajadores se enfrentan con frecuencia a pobres condiciones laborales, agotamiento mental y físico debido a la sobrecarga laboral, poco reconocimiento y salarios bajos; tanto factores externos e internos determinan este fenómeno, ocasionando una atención de mala calidad por parte de los trabajadores del sector público, por esto es importante identificarlos Y tomar acciones sobres estos. La investigación de enfoque cuantitativo, aplicada y de alcance descriptivo - correlacional, con diseño no experimental transversal, se investigó a 385 trabajadores del sector público utilizando la técnica de la encuesta con cuestionario como instrumento para ambas variables, encontrándose los siguientes resultados: los factores que determinan el absentismo laboral son los empresariales y los de riesgo laboral, en ambos se encontró prevalencia de absentismo laboral en niveles medio y alto; así mismo se determinó que la correlación es débil y moderada con el coeficiente Rho de Spearman de 0.390 y 0.453 respectivamente para cada factor, quedando demostrada la hipótesis de la investigación.The present investigation had as the determining factors of labor absenteeism of workers in the public sector of the city of Trujillo, where workers frequently faced poor working conditions, mental and physical exhaustion due to work overload, little recognition and wages. low; both external and internal factors determine this phenomenon, causing poor quality care by public sector workers, so it is important to identify them and take action on them. The quantitative, applied and descriptive-correlational research approach, with a non-experimental crosssectional design, investigated 385 public sector workers using the survey technique with a questionnaire as an instrument for both variables, finding the following results: the factors that determines work absenteeism are business and occupational risk, in both a prevalence of work absenteeism was found at medium and high levels; Likewise, it was shown that the precision is weak and moderate with Spearman's Rho coefficient of 0.390 and 0.453 respectively for each factor, leaving the research hypothesis

4to. Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad. Memoria académica

Este volumen acoge la memoria académica de la Cuarta edición del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad, CITIS 2017, desarrollado entre el 29 de noviembre y el 1 de diciembre de 2017 y organizado por la Universidad Politécnica Salesiana (UPS) en su sede de Guayaquil. El Congreso ofreció un espacio para la presentación, difusión e intercambio de importantes investigaciones nacionales e internacionales ante la comunidad universitaria que se dio cita en el encuentro. El uso de herramientas tecnológicas para la gestión de los trabajos de investigación como la plataforma Open Conference Systems y la web de presentación del Congreso http://citis.blog.ups.edu.ec/, hicieron de CITIS 2017 un verdadero referente entre los congresos que se desarrollaron en el país. La preocupación de nuestra Universidad, de presentar espacios que ayuden a generar nuevos y mejores cambios en la dimensión humana y social de nuestro entorno, hace que se persiga en cada edición del evento la presentación de trabajos con calidad creciente en cuanto a su producción científica. Quienes estuvimos al frente de la organización, dejamos plasmado en estas memorias académicas el intenso y prolífico trabajo de los días de realización del Congreso Internacional de Ciencia, Tecnología e Innovación para la Sociedad al alcance de todos y todas

Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model

Objectives: We aimed to develop and validate a prediction model, based on clinical history and examination findings on initial diagnosis of coronavirus disease 2019 (COVID-19), to identify patients at risk of critical outcomes. Methods: We used data from the SEMI-COVID-19 Registry, a cohort of consecutive patients hospitalized for COVID-19 from 132 centres in Spain (23rd March to 21st May 2020). For the development cohort, tertiary referral hospitals were selected, while the validation cohort included smaller hospitals. The primary outcome was a composite of in-hospital death, mechanical ventilation, or admission to intensive care unit. Clinical signs and symptoms, demographics, and medical history ascertained at presentation were screened using least absolute shrinkage and selection operator, and logistic regression was used to construct the predictive model. Results: There were 10 433 patients, 7850 in the development cohort (primary outcome 25.1%, 1967/7850) and 2583 in the validation cohort (outcome 27.0%, 698/2583). The PRIORITY model included: age, dependency, cardiovascular disease, chronic kidney disease, dyspnoea, tachypnoea, confusion, systolic blood pressure, and SpO2 ≤93% or oxygen requirement. The model showed high discrimination for critical illness in both the development (C-statistic 0.823; 95% confidence interval (CI) 0.813, 0.834) and validation (C-statistic 0.794; 95%CI 0.775, 0.813) cohorts. A freely available web-based calculator was developed based on this model (https://www.evidencio.com/models/show/2344). Conclusions: The PRIORITY model, based on easily obtained clinical information, had good discrimination and generalizability for identifying COVID-19 patients at risk of critical outcomes

Serum 25-hydroxyvitamin D levels throughout pregnancy: a longitudinal study in healthy and preeclamptic pregnant women

Background: Worldwide there is a high prevalence of 25-hydroxyvitamin D (25OHD) deficiency and has been associated with adverse outcomes during pregnancy. Objective: This is a nested, case–control study in a longitudinal cohort to compare the serum 25OHD levels and other biomarkers throughout pregnancy in a group of 20 preeclamptic women and 61 healthy pregnant women. An additional group of 29 healthy non-pregnant women were also studied during the two phases of the menstrual cycle. Results: Mean 25OHD levels in non-pregnant women were 31.9 ng/mL and 34.9 ng/mL during follicular and luteal phase, respectively (P < 0.01). Mean serum 25OHD levels in healthy pregnant women were 26.5, 30.1 and 31.9 ng/mL, at first, second and third trimester, respectively (P < 0.001). The first trimester levels of 25OHD were lower than those of healthy non-pregnant women (P < 0.001), showing a significant recovery at third trimester. In the group of healthy pregnant women, the 25OHD levels were 25.7 ng/mL and 27.2 ng/mL at 3 and 6 months postpartum, respectively; both values were lower than those observed in the non-pregnant women (P < 0.001). In preeclamptic women, 25OHD serum levels were similar to those of healthy pregnant women; nevertheless, they remained almost unchanged throughout pregnancy. Conclusion: There were no significant differences between healthy and preeclamptic pregnant women in terms of 25OHD levels throughout the pregnancy. Serum 25OHD levels in non-pregnant women were higher during luteal phase compared with follicular phase. The 25OHD levels of non-pregnant women tended to be higher than those of pregnant women