[Barber and Johnson diagram and latent reserve as tools to optimise the management of hospital beds]. / Diagrama de Barber y Johnson y reserva latente como herramientas para optimizar la gestión de camas hospitalarias.

INTRODUCTION: The measurement, evaluation and analysis of the bed resources are functions of the Admission and Clinical Documentation Department and are a challenge for the management of acute hospital admissions.The aim of the present study was to analyse the management of bed resources using the Barber and Johnson Diagram (B&J) and latent reserve, during epidemiological contingencies in the Hospital Universitario Río Hortega. MATERIALS AND METHODS: A retrospective review was carried out on hospital admission indicators, from 2008 to February 2017, using the B&J diagram as a graphic tool to compare length of stay, replacement interval, turnover rate, monthly and annual occupancy rate for the hospital and services.The latent and manifest reserve was calculated. RESULTS: The B&J diagram showed differences in occupancy rate and provision of functional beds between the years reviewed and the approaches used. A lower provision of beds and higher length of stay corresponded with an increase in occupancy, decrease in replacement interval, and increase in turnover rate. The latent reserve showed that, between a discharge and a new entry into the same bed, 14 inappropriately occupied beds could be available. CONCLUSIONS: The review of the hospital admission indicators, their integration into the B&J diagram, and use of latent reserve could be included in the hospital information system and benefit the decision-making in the operational management of beds.

In-hospital mortality due to infectious disease in an Internal Medicine Department. Epidemiology and risk factors.

OBJECTIVE: Hospital mortality is a leading indicator of quality of healthcare and a valuable tool for planning and management. Infectious diseases represent a substantial part of the activity of internal medicine.Our aim was to describe the characteristics of in-hospital mortality due to infectious diseases and associated risk factors in our environment. MATERIALS AND METHODS: A retrospective case-control study was designed. We reviewed deaths during 2012 from an Internal Medicine Department. 187 cases (infectious disease related mortality) and 224 controls were found. Clinical and demographic information was obtained from medical records. Comorbidity was evaluated with Charlson index (CI). Data were analyzed using SPSS 15.0 (p-value < 0.05). RESULTS: During 2012, of the 3193 discharge, 187 were exitus due to infectious disease (5.8%). Mean age was 85.7 ± 7.6, higher in women (88 ± 7 vs 83 ± 7.4, p < 0.001), and 55% were aged over 85 years. The CI mean was 4.2 ± 3, higher in younger than 85 years (5.3 ± 3.4 vs 3.6 ± 2.6, p < 0.001). Most frequent causes of death were respiratory sepsis (29%), severe pneumonia (23.5%) and urinary sepsis (16.6%) and risk factors were living in Nursing Home (55.6% vs 34%, p < 0.001), being dependent (73.8% vs. 44.6%, p < 0.001), dementia (59.4% vs 27.2%, p < 0.001) and cerebrovascular disease (25.7% vs 17.4%, p = 0.041). CONCLUSIONS: Dementia, cerebrovascular disease, living in Nursing Home and being dependent were risk factors for infectious disease in-hospital mortality in our study, but not comorbidity, age or length of stay. Our series, although limited by retrospective design, is the first qualitative study of in-hospital mortality due to infectious disease in an Internal Medicine Service in our environment. Most frequent cause of death in our setting was respiratory etiology.