Aspectos psicosociales en mujeres con cáncer de mama mastectomizadas: el rol de la enfermera en su cuidado

El diagnóstico de cáncer de mama supone para las mujeres una situación difícil de afrontar, no sólo por los cambios físicos, sino también y muy especialmente desde el punto de vista psicológico, ya que además de enfrentarse a la enfermedad y sus tratamientos, la paciente sufre pérdidas importantes en varios aspectos, como son las alteraciones en su imagen corporal y trastornos emocionales. Esto le lleva a adoptar nuevas actitudes y adaptarse a la actual realidad. La familia y el entorno social de la mujer son una fuente de apoyo para la lucha contra la enfermedad y están presentes en los momentos difíciles, dando soporte a su ser querido. Sin embargo, estas relaciones sociales pueden verse deterioradas, y en el caso de las parejas, pudiendo derivar en ruptura o final de las relaciones íntimas. La enfermera tiene un papel fundamental en los cuidados de estas pacientes dirigido a adaptarse a esta nueva situación, proporcionando una asistencia que fomente la aceptación e impulse a reorganizar sus relaciones y cuyo objetivo final es capacitarlas para el autocuidado.

Spatial-temporal excess mortality patterns of the 1918-1919 influenza pandemic in Spain

Background: The impact of socio-demographic factors and baseline health on the mortality burden of seasonal and pandemic influenza remains debated. Here we analyzed the spatial-temporal mortality patterns of the 1918 influenza pandemic in Spain, one of the countries of Europe that experienced the highest mortality burden. Methods: We analyzed monthly death rates from respiratory diseases and all-causes across 49 provinces of Spain, including the Canary and Balearic Islands, during the period January-1915 to June-1919. We estimated the influenza-related excess death rates and risk of death relative to baseline mortality by pandemic wave and province. We then explored the association between pandemic excess mortality rates and health and socio-demographic factors, which included population size and age structure, population density, infant mortality rates, baseline death rates, and urbanization. Results: Our analysis revealed high geographic heterogeneity in pandemic mortality impact. We identified 3 pandemic waves of varying timing and intensity covering the period from Jan-1918 to Jun-1919, with the highest pandemic-related excess mortality rates occurring during the months of October-November 1918 across all Spanish provinces. Cumulative excess mortality rates followed a south-north gradient after controlling for demographic factors, with the North experiencing highest excess mortality rates. A model that included latitude, population density, and the proportion of children living in provinces explained about 40% of the geographic variability in cumulative excess death rates during 1918-19, but different factors explained mortality variation in each wave. Conclusions: A substantial fraction of the variability in excess mortality rates across Spanish provinces remained unexplained, which suggests that other unidentified factors such as comorbidities, climate and background immunity may have affected the 1918-19 pandemic mortality rates. Further archeo-epidemiological research should concentrate on identifying settings with combined availability of local historical mortality records and information on the prevalence of underlying risk factors, or patient-level clinical data, to further clarify the drivers of 1918 pandemic influenza mortality.

Indoor air treatment by coupling biofiltration and adsortion

225 p.