Nurses' perceptions of aids and obstacles to the provision of optimal end of life care in ICU

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¿Ha cambiado la actividad asistencial de la neurología pediátrica en 11 años?

Resumen: Introducción: Pensamos que en la última década ha existido un aumento en la demanda de atención de neurología pediátrica (NP) por parte de la población pero también con un cambio cualitativo en las patologías que se atienden.Por este motivo planteamos realizar un segundo registro (2013) y analizar si existían o no diferencias con el efectuado en el año 2002. Métodos: Se realiza un registro prospectivo de actividad asistencia de NP en el Hospital Universitario de Getafe en 2013 y se compara con otro registro prospectivo previo realizado en 2002. Resultados: Se ha pasado de 1.300 consultas a 1.982 (incremento del 52,46%) y de 32,6 consultas/1.000 niños al año a 57,48 (76,32% de aumento).La actividad en consulta supone el 92,2% de toda la asistencia neuropediátrica del 2013; actualmente el trastorno por déficit de atención e hiperactividad (TDAH) es la patología más frecuente (27,6% en 2013/8,1% en 2002). Aunque las cefaleas siguen siendo muy frecuentes han disminuido (19% en 2013/22% en 2002). Como primeras consultas la cefalea sigue siendo la más frecuente en 2013 (32,1%), seguida del TDAH (19,1%). En régimen de hospitalización la epilepsia continúa siendo el diagnóstico más frecuente (30,3% en 2013/36,7% en 2002). Conclusiones: La NP continúa siendo una actividad básicamente ambulatoria, con un incremento considerable en los últimos años. Este aumento se debe fundamentalmente a los trastornos del neurodesarrollo y muy especialmente al TDAH. Podríamos decir que el TDAH es a la NP lo que la demencia a la neurología general. Abstract: Introduction: We believe that the demand for paediatric neurology (PN) care has increased over the past decade, and that reasons for requesting consultations have also changed. The objective of this study is to complete a registry study to profile the demand for PN care in 2013 and compare results to those from a study performed in 2002. Methods: A prospective registry of PN healthcare activities was completed at Hospital Universitario de Getafe in 2013. Results were compared with those from a prospective registry study conducted in 2002. Results: The number of visits increased from 1,300 in 2002 to 1,982 in 2013 (a 52.46% increase), and from 32.6 visits per 1,000 children to 57.48 (a 76.32% increase). Outpatient consultations accounted for 92.2% of all PN consultations in 2013. Currently, attention deficit-hyperactivity disorder (ADHD) is the most frequent diagnosis (27.6% in 2013 vs. 8.1% in 2002). Although the percentage of headache consultations has decreased (19% in 2013 vs. 22% in 2002), headache was still the most common reason for an initial visit in 2013 (32.1%), followed by ADHD (19.1%). Epilepsy remains the most frequent diagnosis in hospitalised patients (30.3% in 2013 vs. 36.7% in 2002). Conclusions: PN is fundamentally an outpatient activity that has increased considerably in recent years. This increase is mainly due to neurodevelopmental disorders, especially ADHD. We might state that the role of ADHD in PN is comparable to that of dementia in general neurology. Palabras clave: Actividad asistencial, Gestión sanitaria, Neurología infantil, Neurología pediátrica, Neurodesarrollo, TDAH, Keywords: Medical care, Healthcare administration, Child neurology, Paediatric neurology, Neurodevelopment, ADH

Cellular genetic algorithms without additional parameters

Cellular genetic algorithms (cGAs) are a kind of genetic algorithms (GAs) with decentralized population in which interactions among individuals are restricted to close ones. The use of decentralized populations in GAs allows to keep the population diversity for longer, usually resulting in a better exploration of the search space and, therefore, in a better performance of the algorithm. However, it supposes the need of several new parameters that have a major impact on the behavior of the algorithm. In the case of cGAs, these parameters are the population and neighborhood shapes. We propose in this work two innovative cGAs with new adaptive techniques that allow removing the neighborhood and population shape from the algorithm’s configuration. As a result, the new adaptive cGAs are highly competitive (statistically) with all the compared cGAs in terms of the average solutions found in the continuous and combinatorial domains, while finding, in general, the best solutions for the considered problems, and with less computational effort