Nivel de satisfacción de los usuarios externos hospitalizados en un hospital nacional de policías: Level of satisfaction of external users hospitalized in a national police hospital

Objective: To identify the level of satisfaction of the external users hospitalized in the general surgery and internal medicine services of a National Police Hospital. Methods: Observational, descriptive, comparative cross-sectional study. Independent variables: dimensions of quality, dependent variable: level of satisfaction and intervening variables: sex, age, level of education, hospitalization services (internal medicine and general surgery). Out of 377 hospitalized patients, 363 met the selection criteria, the modified SERVQUAL survey was applied. Inferential statistics and measures of descriptive frequency were used. Results: The external users that predominated were: adults and older adults, with educational level between secondary and higher; a minimum percentage were illiterate and young adults. The female sex predominated in the internal medicine service and the male sex in the general surgery service. The perception of satisfaction was higher in female patients, older adults and higher university level of education. The dimensions with greater satisfaction in both services were reliability, responsiveness, security and empathy. The level of satisfaction of external users was greater than 70% in the general surgery service and greater than 90% in the internal medicine service. Conclusion: The external users of both hospitalization services were satisfied, covering their needs and demands, exceeding their expectations. Key words: Quality; Satisfaction; External user; Hospitalization. (source: MeSH NLM)   DOI: 10.25176/RFMH.v18.n2.1285Objetivos: Identificar el nivel de satisfacción de los usuarios externos hospitalizados en los servicios de cirugía general y medicina interna de un Hospital Nacional de Policías. Métodos: Estudio observacional, descriptivo, comparativo de tipo transversal. Variables independientes: dimensiones de la calidad, variable dependiente: nivel de satisfacción y variables intervinientes: sexo, edad, nivel de instrucción, servicios de hospitalización (medicina interna y cirugía general). De 377 hospitalizados, 363 cumplieron con los criterios de selección, se les aplicó la encuesta SERVQUAL modificada. Se utilizó estadística inferencial y medidas de frecuencia descriptiva. Resultados: Los usuarios externos que predominaron fueron: adultos y adultos mayores, con nivel de instrucción entre secundaria y superior; un porcentaje mínimo fueron analfabetos y adultos jóvenes. El sexo femenino predominó en el servicio de medicina interna y el sexo masculino en el servicio de cirugía general. La percepción de la satisfacción, fue mayor en pacientes de sexo femenino, adultos mayores y de nivel de instrucción superior universitario. Las dimensiones con mayor satisfacción en ambos servicios fueron la fiabilidad, capacidad de respuesta, seguridad y empatía. El nivel de satisfacción de los usuarios externos fue mayor al 70% en el servicio de cirugía general y mayor al 90% en el servicio de medicina interna. Conclusión: Los usuarios externos de ambos servicios de hospitalización estuvieron satisfechos, cubriendo sus necesidades y demandas, superando sus expectativas. Palabras clave: Calidad; Satisfacción; Usuario de externo; Hospitalización. (fuente: DeCS BIREME)   DOI: 10.25176/RFMH.v18.n2.128

Options for monitoring and estimating historical carbon emissions from forest degradation in the context of REDD+

Measuring forest degradation and related forest carbon stock changes is more challenging than measuring deforestation since degradation implies changes in the structure of the forest and does not entail a change in land use, making it less easily detectable through remote sensing. Although we anticipate the use of the IPCC guidance under the United Framework Convention on Climate Change (UNFCCC), there is no one single method for monitoring forest degradation for the case of REDD+ policy. In this review paper we highlight that the choice depends upon a number of factors including the type of degradation, available historical data, capacities and resources, and the potentials and limitations of various measurement and monitoring approaches. Current degradation rates can be measured through field data (i.e. multi-date national forest inventories and permanent sample plot data, commercial forestry data sets, proxy data from domestic markets) and/or remote sensing data (i.e. direct mapping of canopy and forest structural changes or indirect mapping through modelling approaches), with the combination of techniques providing the best options. Developing countries frequently lack consistent historical field data for assessing past forest degradation, and so must rely more on remote sensing approaches mixed with current field assessments of carbon stock changes. Historical degradation estimates will have larger uncertainties as it will be difficult to determine their accuracy. However improving monitoring capacities for systematic forest degradation estimates today will help reduce uncertainties even for historical estimates

A Machine Learning Approach for Predicting Caco-2 Cell Permeability in Natural Products from the Biodiversity in Peru

Background: Peru is one of the most biodiverse countries in the world, which is reflected in its wealth of knowledge about medicinal plants. However, there is a lack of information regarding intestinal absorption and the permeability of natural products. The human colon adenocarcinoma cell line (Caco-2) is an in vitro assay used to measure apparent permeability. This study aims to develop a quantitative structure–property relationship (QSPR) model using machine learning algorithms to predict the apparent permeability of the Caco-2 cell in natural products from Peru. Methods: A dataset of 1817 compounds, including experimental log Papp values and molecular descriptors, was utilized. Six QSPR models were constructed: a multiple linear regression (MLR) model, a partial least squares regression (PLS) model, a support vector machine regression (SVM) model, a random forest (RF) model, a gradient boosting machine (GBM) model, and an SVM–RF–GBM model. Results: An evaluation of the testing set revealed that the MLR and PLS models exhibited an RMSE = 0.47 and R2 = 0.63. In contrast, the SVM, RF, and GBM models showcased an RMSE = 0.39–0.40 and R2 = 0.73–0.74. Notably, the SVM–RF–GBM model demonstrated superior performance, with an RMSE = 0.38 and R2 = 0.76. The model predicted log Papp values for 502 natural products falling within the applicability domain, with 68.9% (n = 346) showing high permeability, suggesting the potential for intestinal absorption. Additionally, we categorized the natural products into six metabolic pathways and assessed their drug-likeness. Conclusions: Our results provide insights into the potential intestinal absorption of natural products in Peru, thus facilitating drug development and pharmaceutical discovery efforts

Applying gamification elements to build teams for software development

Nowadays computer games are applied beyond entertainment. Gamification, the application of game elements in non-game environments supports behavioural studies in different disciplines including software engineering, the area in which collaborative work has become a fundamental key. The most used gamification elements in software development environments were analysed from two perspectives: (i) team building or reinforcement activities; and (ii) regarding a set of people's interactive styles. Then, interactive styles with software engineering roles were related in order to be able to identify scenarios that conform a model to build highly effective teams. The three analyses together allow identifying proper gamification elements for modelling scenarios to support the creation of highly effective teams in the software development domain. © 2019 Institution of Engineering and Technology. All Rights Reserved

Clostridium difficile infection worsens the prognosis of ulcerative colitis

BACKGROUND: The impact of Clostridium difficile infections among ulcerative colitis (UC) patients is well characterized. However, there is little knowledge regarding the association between C difficile infections and postoperative complications among UC patients

Estudios de validez de la Escala de Inteligencia Wechsler para Adultos Versión III, Puerto Rico (EIWA-III)

Presentamos los resultados de la traducción, adaptación cultural y normalización para la población puertorriqueña de la Wechsler Adult Intelligence Scale III (WAIS-III). La nueva Escala de Inteligencia Wechsler para Adultos III (EIWA-III) contiene las nuevas subpruebas de la WAIS-III que permiten evaluar procesos intelectuales adicionales tales como memoria de trabajo y velocidad de procesamiento. Los estudios psicométricos realizados como parte del proceso de normalización sustentan la validez concurrente y predictiva de la EIWA-III. Estos estudios confirman que la escala posee buena validez de contenido al ser su estructura interna idéntica a la de la WAIS-III, una estructura de cuatro factores. Obtuvimos evidencia de validez discriminante al comparar grupos de adultos/as con discapacidad intelectual y con inteligencia superior con muestras pareadas de participantes tomadas de la muestra de normalización