Atención de salud después de un terremoto

The earthquake originated in April 2016 in the town of Pedernales, province of Manabí, Ecuador, affected the functioning of health units, health programs of the public system and deteriorated the health of the population. In this study analyzes the effects of the Pedernales earthquake, through the description of the care received by users, in the health units of the MSP in the canton Chone, in the post-earthquake period. An observational, descriptive and cross-sectional study was conducted. The perceptions of the users were studied, determining their degree of satisfaction with the health services received in the health units. The results show that in most of the health units studied there are significant percentages of dissatisfaction in care, there are gaps in access to medicines, hospital beds and health personnel. The earthquake showed the shortcomings of the attention of the public health network, which were already present before and that the earthquake aggravated them.El terremoto originado en abril 2016 en la localidad de Pedernales, provincia de Manabí, Ecuador, afectó el funcionamiento de las unidades de salud, los programas sanitarios del sistema público y deterioró la salud de la población. En este estudio se analizan los efectos del terremoto de Pedernales, mediante la descripción de la atención recibida por los usuarios, en las unidades de salud del MSP en el cantón Chone, en el periodo post terremoto mediato. Se realizó estudio observacional, descriptivo y transversal. Se estudiaron las percepciones de los usuarios, determinando su grado de satisfacción con los servicios de salud recibidos en las unidades de salud. Los resultados demuestran que en la mayoría de las unidades de salud estudiadas hay porcentajes importantes de insatisfacción en la atención, existen brechas en el acceso a medicamentos, camas hospitalarias y de personal de salud. El terremoto evidenció las falencias de la atención de la red pública de salud, que ya estaban presentes antes y que el terremoto las agravó

Aplicación de un modelo de línea de espera para planificar la Capacidad de un Hospital

Los servicios de salud constituyen una industria de rápido crecimiento en muchos países, junto con un enorme aumento en la investigación médica, no solamente orientada a mejorar la práctica médica, sino además la gestión de los recursos involucrados en estos servicios. La planificación de la capacidad de servicios para mejorar el flujo de pacientes es un ejemplo, especialmente porque este flujo representa la capacidad de un sistema de salud para ser atendidos de una forma rápida, confiable y eficiente, mientras se mueven a través de las distintas etapas de atención. Con el objetivo de contribuir en las decisiones de planificación de servicios hospitalarios, esta investigación en la Introducción plantea el problema a investigar, en el Capítulo 1 incluye una revisión de la literatura relacionada con la importancia del cálculo del número de camas hospitalarias, se expondrá en el Capítulo 2 la metodología bajo la cual se realiza la investigación, en el Capítulo 3 se hace una exposición de los resultados obtenidos que incluye las características de la estancia hospitalaria en el Ecuador en los mayores hospitales generales y escoge los parámetros aplicables a un modelo de simulación de Líneas de Espera. Finalmente, en el Capítulo 4 se discute los resultados y las limitaciones de la investigación.Health services are a fast growing industry in many countries, along with a huge increase in medical research, not only aimed at improving medical practice, but also the management of the resources involved in these services. The capacity planning services to improve patient flow is an example, especially since this flow represents the ability of a health system to be served quickly, reliably and efficiently, as they move through the various stages of attention. In order to contribute to the planning decisions of hospital services, the research in the Introduction presents the research problem in Chapter 1 includes a review of the literature on the importance of calculating the number of hospital beds, it will be exhibited in Chapter 2 methodology under which research is conducted, in Chapter 3 an exhibition of the results including the features of hospital stay in Ecuador in major general hospitals and choose the parameters applicable to a model made Waiting Lines simulation. Finally, in Chapter 4 the results and limitations of the research is discussed

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population