Factores de riesgo psicosocial en médicos de una institución prestadora de servicios de salud en Bogota-Colombia 2014

Los factores de riesgo psicosocial se pueden definir como las condiciones del individuo, del medio extra laboral o del medio laboral, que bajo determinadas condiciones de intensidad y tiempo de exposición, generan efectos negativos en el trabajador y en la organización. Objetivo: Determinar la relación entre los factores de riesgo psicosocial intralaboral, extra laboral y los síntomas de estrés en médicos de una institución prestadora de servicios de salud en la ciudad de Bogotá, durante el año 2014. Metodología: Se llevó a cabo un estudio de corte transversal, en una muestra constituida por 202 registros pertenecientes a médicos generales de una IPS de la ciudad de Bogotá. Las variables incluidas fueron socios demográficos, ocupacionales, intralaborales, extra laborales y sintomatología asociada al estrés. Se contó con la información de la batería de riesgos psicosociales elaborada por el Ministerio de la Protección Social (Actualmente Ministerio del Trabajo) y la Universidad Javeriana la cual esta validada en el país. Para las variables de tipo cuantitativo, se obtuvieron medidas de tendencia central y de dispersión. Para identificar los factores relacionados con el riesgo psicosocial y síntomas asociados al estrés, se utilizaron pruebas de asociación Chi cuadrado o análisis de correlación según la naturaleza de las variables. El nivel de significancia para cada prueba fue 0.05. Para analizar las diferencias entre dichas categorías se utilizó la prueba Anova de una vía. Se consideró un nivel α<0.05 como significativo para las pruebas de hipótesis. Para el análisis de la información se utilizó el paquete estadístico SPSS versión 22.0 de IBM. Resultados: La edad promedio de los participantes fue de 41.3 años (IC 95 % 40.1-42.5), siendo el género predominante el femenino con el 58,6%. Se encontró una asociación significativa entre el estado civil y la presencia de sintomatología asociada al estrés (p= 0,031). Al relacionar los valores de estrés con los riesgos intralaborales, se encontraron diferencias significativas en el 100% de estos y entre estrés y riesgos extralaborales se obtuvieron diferencias significativas (p<0.05) en cada una de las dimensiones evaluadas. Conclusiones Los médicos incluidos en el estudio tienen riesgo muy alto tanto a nivel intralaboral como extralaboral, reflejándose en el desarrollo de niveles incrementados de respuestas asociadas al estrés. Por lo anterior, se propone la realización de acciones de mejora dirigidas a la prevención, así como a la intervención de los factores de riesgo, encaminadas a promover la salud y controlar los factores de riesgo psicosocial, con el fin de mejorar las condiciones laborales de los trabajadores participantes en el estudio.

Observatorio de salud y seguridad en el trabajo OSST - SOANDES LTDA, modelo piloto para la implementación y desarrollo

Introducción: Contar con un diagnóstico de las condiciones en seguridad y salud en el trabajo en el país permite crear estrategias para minimizar los problemas de la población trabajadora. En Colombia existe el observatorio del Instituto Nacional de Salud, sin embargo, no cuenta, en ninguno de sus tópicos, con información y análisis sobre la salud y seguridad de la población trabajadora. Objetivo: Determinar las condiciones de salud de la población atendida en la IPS SALUD OCUPACIONAL DE LOS ANDES LDTA en la ciudad de Bogotá, durante el año 2015. Materiales y métodos: Se realizó una prueba piloto del observatorio de salud y seguridad en el trabajo mediante un estudio de corte transversal, donde se tomó una base de datos de pacientes evaluados en la IPS SALUD OCUPACIONAL DE LOS ANDES LDTA, de la ciudad de Bogotá D.C. que contiene información de exámenes médicos ocupacionales realizados en el 2015 en la plataforma ISISMAWEB con una muestra representativa de 1923 registros. Se incluyeron variables sociodemográficas y laborales, los paraclínicos registrados como alterados más prevalentes, los diagnósticos y dictámenes emitidos en la población estudiada y las recomendaciones personales dadas por el sistema de gestión de la empresa. Se realizó un análisis descriptivo y para el estudio de las interacciones se empleó el Chi-cuadrado. Resultados: El 62,1% de la población fueron hombres con edad promedio de 34.8 años (DE 10,521). El 41.5% tuvieron estudios secundarios. La evaluación médica más realizada fue el examen de ingreso en el 30.5% de los casos. El cargo operadores de instalaciones y máquinas y ensambladores represento el 27.9% y en última medida los profesionales de nivel medio en operaciones financieras y administrativas con el 0.5%. El diagnostico CIE 10 emitido más frecuente fue con el 15,8% el código Z100 (Examen de salud ocupacional), seguido del Trastorno de la refracción no especificado (H527) con el 9,0%. En cuanto a las recomendaciones generales la que más se repitió fue examen periódico con un 30%. La recomendación preventiva más frecuente fue osteomuscular con el 36,5%. Las recomendaciones SVE de mayor prevalencia fueron ergonómicas con un 40,7%. Se encontraron asociaciones (p<0.05) entre las variables escolaridad, género y estrato. Conclusiones: Se deben optimizar los mecanismos de recolección del dato para ser más viable su evaluación y asociación. Hay un subregístro importante de segundos diagnósticos asociado al no registro de los paraclínicos. Este estudio plantea un modelo a seguir para poder desarrollar el observatorio nacional de salud y seguridad en el trabajo.

Application of Mixture Models to Survival Data

Survival models are being widely applied to the engineering field to model time-to-event data once censored data is here a common issue. Using parametric models or not, for the case of heterogeneous data, they may not always represent a good fit. The present study relays on critical pumps survival data where traditional parametric regression might be improved in order to obtain better approaches. Considering censored data and using an empiric method to split the data into two subgroups to give the possibility to fit separated models to our censored data, we’ve mixture two distinct distributions according a mixture-models approach. We have concluded that it is a good method to fit data that does not fit to a usual parametric distribution and achieve reliable parameters. A constant cumulative hazard rate policy was used as well to check optimum inspection times using the obtained model from the mixture-model, which could be a plus when comparing with the actual maintenance policies to check whether changes should be introduced or not.

Study of the Electromagnetic Interference Generated by Wireless Power Transfer Systems

This paper presents a study related with measuring of radio frequency emissions. The purpose is to determine the level of interference generated by wireless power transfer equipment in a specific frequency range, and to compare those levels to the existing standards. The technology of wireless power transfer, especially for electric vehicles batteries charging, is rapidly developing in the recent years. An increasing use of this technology in industrial and consumer electronic products has raised concerns about the possible unfavorable health-effects onto the human being. Another concern is raised from the high intensity fields produced by wireless power transfer systems which will generate highly undesired influence on other electrical and electronic equipment. As a protection against the potential health effects, the governments imposed limits on the occupational and general public exposure to the radio frequencies. These limitations are set out in national and international safety guidelines, standards and regulations. The measurement and evaluation of the human exposure to electromagnetic fields are essential to guarantee occupational and general public safety.

Shopper Centric Category Management in Convenience Stores: a Qualitative Study

The literature shows that category management is an important concept and tool for retailers and suppliers, but that there is a trend to move to a more shopper-centric category management approach, linked to the shoppermarketing approach. However, the knowledge on this issue is scarce on some retailing sectors, like convenience stores. The present study is focused on convenience stores, with the main purpose of finding out to what extent non-major food retailers successfully adopt a shopper-centric category management. The study is relevant in order to evaluate if a more shopper-centric approach is adequate to smaller companies/stores. To accomplish that goal, an exploratory qualitative study was conducted among convenience store retailers and suppliers. Six semistructured face-to-face interviews were conducted with Commercial Directors and Trade Marketing Managers. This data was complemented with thirteen interviews with shopper marketing experts. The data was analyzed using thematic content analysis technique, identifying themes, categories, subcategories, units of meaning and relations. The results revealed that convenience store retailers use some of the principles and techniques of the shopper-marketing and shopper-centric category management approaches, which they do in a non-standardized and non-formal approach or process. Their suppliers (the manufacturers) do it in a more formal and structured manner, probably as a result of previous interaction with major supermarkets chains. Both direct and indirect evidences of a shopper-centric approach were found, which, however, were slight, discrete and not formal.

As abordagens participativas do teatro e comunidade na formação em teatro

As artes comunitárias têm dado um importante contributo na promoção de práticas participativas e inclusivas nas sociedades contemporâneas. Encontros académicos e Festivais realizados nos últimos anos apontam para uma maior presença e interesse no panorama de produções artísticas e reflexivas, mobilizando um número crescente de participantes. Neste artigo discute-se a pesquisa sobre/em processos laboratoriais participativos de criação que orientam as práticas dos projectos de teatro e comunidade na formação universitária em teatro.

Strategic Orientations, Dynamic Capabilities, and Firm Performance: an Analysis for Knowledge Intensive Business Services

The strategic orientations of a firm are considered crucial for enhancing firm performance and their impact can be even greater when associated with dynamic capabilities, particularly in complex and dynamic environments. This study empirically analyzes the relationship between market, entrepreneurial and learning orientations, dynamic capabilities, and performance using an integrative approach hitherto little explored. Using a sample of 209 knowledge intensive business service firms, this paper applies structural equation modeling to explore both direct effects of strategic orientations and the mediating role of dynamic capabilities on performance. The study demonstrates that learning orientation and one of the dimensions of entrepreneurial orientation have a direct positive effect on performance. On the other hand, dynamic capabilities mediate the relationships between some of the strategic orientations and firm performance. Overall, when dynamic capabilities are combined with the appropriate strategic orientations, they enhance firm performance. This paper contributes to a better understanding of the knowledge economy, given the important role knowledge intensive business services play in such a dynamic and pivotal sector.

Data driven regularization models of non-linear ill-posed inverse problems in imaging

Imaging technologies are widely used in application fields such as natural sciences, engineering, medicine, and life sciences. A broad class of imaging problems reduces to solve ill-posed inverse problems (IPs). Traditional strategies to solve these ill-posed IPs rely on variational regularization methods, which are based on minimization of suitable energies, and make use of knowledge about the image formation model (forward operator) and prior knowledge on the solution, but lack in incorporating knowledge directly from data. On the other hand, the more recent learned approaches can easily learn the intricate statistics of images depending on a large set of data, but do not have a systematic method for incorporating prior knowledge about the image formation model. The main purpose of this thesis is to discuss data-driven image reconstruction methods which combine the benefits of these two different reconstruction strategies for the solution of highly nonlinear ill-posed inverse problems. Mathematical formulation and numerical approaches for image IPs, including linear as well as strongly nonlinear problems are described. More specifically we address the Electrical impedance Tomography (EIT) reconstruction problem by unrolling the regularized Gauss-Newton method and integrating the regularization learned by a data-adaptive neural network. Furthermore we investigate the solution of non-linear ill-posed IPs introducing a deep-PnP framework that integrates the graph convolutional denoiser into the proximal Gauss-Newton method with a practical application to the EIT, a recently introduced promising imaging technique. Efficient algorithms are then applied to the solution of the limited electrods problem in EIT, combining compressive sensing techniques and deep learning strategies. Finally, a transformer-based neural network architecture is adapted to restore the noisy solution of the Computed Tomography problem recovered using the filtered back-projection method.

Response times in computerized adaptive testing: a method for cheating detection

In the field of educational and psychological measurement, the shift from paper-based to computerized tests has become a prominent trend in recent years. Computerized tests allow for more complex and personalized test administration procedures, like Computerized Adaptive Testing (CAT). CAT, following the Item Response Theory (IRT) models, dynamically generates tests based on test-taker responses, driven by complex statistical algorithms. Even if CAT structures are complex, they are flexible and convenient, but concerns about test security should be addressed. Frequent item administration can lead to item exposure and cheating, necessitating preventive and diagnostic measures. In this thesis a method called "CHeater identification using Interim Person fit Statistic" (CHIPS) is developed, designed to identify and limit cheaters in real-time during test administration. CHIPS utilizes response times (RTs) to calculate an Interim Person fit Statistic (IPS), allowing for on-the-fly intervention using a more secret item bank. Also, a slight modification is proposed to overcome situations with constant speed, called Modified-CHIPS (M-CHIPS). A simulation study assesses CHIPS, highlighting its effectiveness in identifying and controlling cheaters. However, it reveals limitations when cheaters possess all correct answers. The M-CHIPS overcame this limitation. Furthermore, the method has shown not to be influenced by the cheaters’ ability distribution or the level of correlation between ability and speed of test-takers. Finally, the method has demonstrated flexibility for the choice of significance level and the transition from fixed-length tests to variable-length ones. The thesis discusses potential applications, including the suitability of the method for multiple-choice tests, assumptions about RT distribution and level of item pre-knowledge. Also limitations are discussed to explore future developments such as different RT distributions, unusual honest respondent behaviors, and field testing in real-world scenarios. In summary, CHIPS and M-CHIPS offer real-time cheating detection in CAT, enhancing test security and ability estimation while not penalizing test respondents.