La evolución de destinos turísticos litorales consolidados. Análisis comparado de Balneario Camnoriú (Brasil) y Benidorm (España)

El objetivo de este trabajo consiste en estudiar la evolución de los destinos turísticos litorales consolidados a partir del análisis comparado entre Balneario Camboriú y Benidorm. Se trata de dos destinos localizados en contextos territoriales y turísticos diferentes, en los que se contrastan de manera empírica los indicadores de evolución de los destinos y se vinculan las dinámicas evolutivas con el modelo territorial-turístico resultante en cada destino. El análisis realizado permite contrastar los postulados de los modelos evolutivos clásicos (Butler, 1980) e incorporar los nuevos planteamientos de la geografía económica evolutiva. La investigación delimita cronológicamente los periodos de desarrollo de ambos destinos para identificar los factores con mayor incidencia en la evolución de los mismos. Una evolución marcada, fundamentalmente, por la ubicación geográfica, la planificación y gestión urbanoturística a diferentes escalas, la dependencia de determinados mercados emisores y la influencia de factores macroeconómicos. Un conjunto de factores interrelacionados que dibujan trayectorias dispares para los destinos analizados.

Influence of prolonged hospitalization on overall bed occupancy: a five-year single-centre study

Background: Effective bed use is crucial to an efficient NHS. Current targets suggest a decrease in mean occupancy as the most appropriate method of improving overall efficiency. The elderly and those suffering from complex medical problems are thought to account for a high proportion of overall bed occupancy.

Aim: To assess the effect of prolonged hospital stay (>100 days) on overall bed occupancy in a modern teaching hospital.

Design: Retrospective analysis.

Methods: Analysis of all admission episodes (n = 117 178) over a five-year period in a large teaching hospital in a single UK region, serving a population of approximately 200 000. A logistic regression multi-factorial model was used to assess the effect of demographic and diagnostic variables on duration of stay.

Results: A prolonged stay (>100 days) was seen in 648 admission episodes (0.6%). These accounted for 11% of the overall bed occupancy over the 5-year period. Excluding all prolonged admission episodes from our analysis made no difference to the overall median length of stay.

Discussion: Prolonged hospitalizations have a significant impact on bed occupancy. Targeting these very long (>100 days) hospital stays may better improve overall efficiency, compared to targeting mean or median length of stay.