Análise de qualidade de objeto virtual de aprendizagem para avaliação da dor em enfermagem / Análisis de calidad de objeto virtual de aprendizaje para la evaluación del dolor en enfermería / Quality Analysis of the Virtual Learning Object for Nursing Pain Assessment

RESUMO Introdução: A dor é um problema se saúde pública mundial, sendo que as lacunas no processo de ensino e aprendizagem sobre a avaliação da dor contribuem para esta situação. O desenvolvimento de estratégias inovadoras para o ensino-aprendizagem, como objetos virtuais de aprendizagem, pode colaborar para melhoraria do cuidado de pacientes com dor, sendo fundamental sua avaliação quanto a qualidade. Objetivo: Analisar a qualidade de um objeto virtual de aprendizagem para avaliação da dor aguda em enfermagem a partir do Learning Object Review Instrument 2.0. Métodos: Pesquisa metodológica com abordagem quantitativa. Participaram 5 enfermeiros especialistas e 62 estudantes de enfermagem, que avaliaram as 9 variáveis do instrumento (1-Pessimo até 5-Excelente). Resultados: Os resultados superaram a média alvo (3-Bom) entre estudantes (4,27) e especialistas (4,31). Destacaram-se entre estudantes: "Conformidade com normas" (4,47±0,88) e "Apresentação do projeto" (4,55±0,74), e entre especialistas: "Qualidade do conteúdo" (4,80±0,45) e a "Reusabilidade" (4,80±0,45). Conclusão: A nova tecnologia possui qualidade para aplicação no processo de ensino-aprendizagem em enfermagem sobre a avaliação da dor aguda. A tecnologia é encarada pelos participantes como um procedimento educacional a ser incorporado na vida acadêmica e profissional, que colabora com o processo de aprender a aprender, de modo flexível e interativo(AU)

RESUMEN Introducción: El dolor es un problema de la salud pública mundial, y las lagunas en el proceso de enseñanza y aprendizaje sobre la evaluación del dolor contribuyen a esta situación. El desarrollo de estrategias innovadoras de enseñanza y aprendizaje, como objetos virtuales de aprendizaje, pueden colaborar para mejorar el cuidado de pacientes con dolor, siendo fundamental su evaluación en cuanto a calidad. Objetivo: Analizar la calidad de objeto virtual de aprendizaje para la evaluación del dolor agudo en enfermería a partir del Learning Object Review Instrument 2.0. Métodos: Investigación metodológica con enfoque cuantitativo. Participaron 5 enfermeros especialistas y 62 estudiantes de enfermería, que evaluaron las 9 variables del instrumento (1-Pésimo hasta 5-Excelente). Resultados: Los resultados superaron el promedio objetivo (3-Bueno) entre estudiantes (4,27) y especialistas (4,31). Se destacaron entre estudiantes: "Conformidad con normas" (4,47±0,88) y "Presentación del proyecto" (4,55±0,74), entre los especialistas "Calidad del contenido" (4,80±0,45) y la "Reusabilidad" (4,80±0,45). Conclusión: La nueva tecnología tiene calidad para aplicación en el proceso de enseñanza y aprendizaje en enfermería sobre la evaluación del dolor agudo. La tecnología es encarada por los participantes como un procedimiento educativo a ser incorporado en la vida académica y profesional, que colabora con el proceso de aprender a aprender, de modo flexible e interactivo(AU)

ABSTRACT Introduction: Pain is a global public health concern, a situation to which gaps in the teaching and learning process of pain assessment contribute. Developing innovative teaching and learning strategies, as virtual learning objects, can help improve the care of patients with pain, being fundamental their quality-based assessment. Objective: To analyze the quality of the virtual learning object for acute pain assessment in nursing based on the Learning Object Review Instrument 2.0. Methods: Methodological research with a quantitative approach. Five specialized nurses and 62 nursing students participated, who evaluated the nine variables of the instrument (1-poor to 5-excellent). Results: The results exceeded the expected average (3-good) between students (4.27) and specialists (4.31). The following stood out among students:conformity to standards (4.47±0.88) and project presentation (4.55±0.74); and the ones that stood out among specialists were content quality (4.80±0.45) and reusability (4.80±0.45). Conclusion: The new technology has the quality to be used in the teaching and learning process in nursing for acute pain assessment. Technology is faced by the participants as an educational procedure to be incorporated into the academic and professional life, which collaborates with the process of learning to learn, in a flexible and interactive way(AU)

Rapid Development and Distribution of Mobile Media-Rich Clinical Practice Guidelines Nationwide in Colombia.

Development and electronic distribution of Clinical Practice Guidelines production is costly and challenging. This poster presents a rapid method to represent existing guidelines in auditable, computer executable multimedia format. We used a technology that enables a small number of clinicians to, in a short period of time, develop a substantial amount of computer executable guidelines without programming.

Data driven linear algebraic methods for analysis of molecular pathways: application to disease progression in shock/trauma.

MOTIVATION: Although trauma is the leading cause of death for those below 45years of age, there is a dearth of information about the temporal behavior of the underlying biological mechanisms in those who survive the initial trauma only to later suffer from syndromes such as multiple organ failure. Levels of serum cytokines potentially affect the clinical outcomes of trauma; understanding how cytokine levels modulate intra-cellular signaling pathways can yield insights into molecular mechanisms of disease progression and help to identify targeted therapies. However, developing such analyses is challenging since it necessitates the integration and interpretation of large amounts of heterogeneous, quantitative and qualitative data. Here we present the Pathway Semantics Algorithm (PSA), an algebraic process of node and edge analyses of evoked biological pathways over time for in silico discovery of biomedical hypotheses, using data from a prospective controlled clinical study of the role of cytokines in multiple organ failure (MOF) at a major US trauma center. A matrix algebra approach was used in both the PSA node and PSA edge analyses with different matrix configurations and computations based on the biomedical questions to be examined. In the edge analysis, a percentage measure of crosstalk called XTALK was also developed to assess cross-pathway interference. RESULTS: In the node/molecular analysis of the first 24h from trauma, PSA uncovered seven molecules evoked computationally that differentiated outcomes of MOF or non-MOF (NMOF), of which three molecules had not been previously associated with any shock/trauma syndrome. In the edge/molecular interaction analysis, PSA examined four categories of functional molecular interaction relationships--activation, expression, inhibition, and transcription--and found that the interaction patterns and crosstalk changed over time and outcome. The PSA edge analysis suggests that a diagnosis, prognosis or therapy based on molecular interaction mechanisms may be most effective within a certain time period and for a specific functional relationship.