Standardizing admission and discharge processes to improve patient flow: A cross sectional study

Background: The aim of this study was to evaluate how hospital capacity was managed focusing on standardizing the admission and discharge processes. Methods: This study was set in a 900-bed university affiliated hospital of the National Health Service, near Barcelona (Spain). This is a cross-sectional study of a set of interventions which were gradually implemented between April and December 2008. Mainly, they were focused on standardizing the admission and discharge processes to improve patient flow. Primary administrative data was obtained from the 2007 and 2009 Hospital Database. Main outcome measures were median length of stay, percentage of planned discharges, number of surgery cancellations and median number of delayed emergency admissions at 8:00¿am. For statistical bivariate analysis, we used a Chi-squared for linear trend for qualitative variables and a Wilcoxon signed ranks test and a Mann¿Whitney test for non-normal continuous variables. Results:The median patients' global length of stay was 8.56 days in 2007 and 7.93 days in 2009 (p<0.051). The percentage of patients admitted the same day as surgery increased from 64.87% in 2007 to 86.01% in 2009 (p<0.05). The number of cancelled interventions due to lack of beds was 216 patients in 2007 and 42 patients in 2009. The median number of planned discharges went from 43.05% in 2007 to 86.01% in 2009 (p<0.01). The median number of emergency patients waiting for an in-hospital bed at 8:00¿am was 5 patients in 2007 and 3 patients in 2009 (p<0.01). Conclusions: In conclusion, standardization of admission and discharge processes are largely in our control. There is a significant opportunity to create important benefits for increasing bed capacity and hospital throughput.

Toward partial redirection of energy policy for responsible development

This paper addresses the surprising lack of quality control on the analysis and selection on energy policies observable in the last decades. As an example, we discuss the delusional idea that it is possible to replace fossil energy with large scale ethanol production from agricultural crops. But if large scale ethanol production is not practical in energetic terms, why huge amount of money has been invested in it and is it still being invested? In order to answer this question we introduce two concepts useful to frame, in general terms, the predicament of quality control in science: (i) the concept of “granfalloons” proposed by K. Vonnegut (1963) flagging the danger of the formation of “crusades to save the world” void of real meaning. These granfalloons are often used by powerful lobbies to distort policy decisions; and (ii) the concept of Post-Normal science by S. Funtowicz and J. Ravetz (1990) indicating a standard predicament faced by science when producing information for governance. When mixing together uncertainty, multiple-scale and legitimate but contrasting views it becomes impossible to deal with complex issue using the conventional scientific approach based on reductionism. We finally discuss the implications of a different approach to the assessment of alternative energy sources by introducing the concept of Promethean technology.

Partial correlation : Network analysis

The final year project came to us as an opportunity to get involved in a topic which has appeared to be attractive during the learning process of majoring in economics: statistics and its application to the analysis of economic data, i.e. econometrics.Moreover, the combination of econometrics and computer science is a very hot topic nowadays, given the Information Technologies boom in the last decades and the consequent exponential increase in the amount of data collected and stored day by day. Data analysts able to deal with Big Data and to find useful results from it are verydemanded in these days and, according to our understanding, the work they do, although sometimes controversial in terms of ethics, is a clear source of value added both for private corporations and the public sector. For these reasons, the essence of this project is the study of a statistical instrument valid for the analysis of large datasets which is directly related to computer science: Partial Correlation Networks.The structure of the project has been determined by our objectives through the development of it. At first, the characteristics of the studied instrument are explained, from the basic ideas up to the features of the model behind it, with the final goal of presenting SPACE model as a tool for estimating interconnections in between elements in large data sets. Afterwards, an illustrated simulation is performed in order to show the power and efficiency of the model presented. And at last, the model is put into practice by analyzing a relatively large data set of real world data, with the objective of assessing whether the proposed statistical instrument is valid and useful when applied to a real multivariate time series. In short, our main goals are to present the model and evaluate if Partial Correlation Network Analysis is an effective, useful instrument and allows finding valuable results from Big Data.As a result, the findings all along this project suggest the Partial Correlation Estimation by Joint Sparse Regression Models approach presented by Peng et al. (2009) to work well under the assumption of sparsity of data. Moreover, partial correlation networks are shown to be a very valid tool to represent cross-sectional interconnections in between elements in large data sets.The scope of this project is however limited, as there are some sections in which deeper analysis would have been appropriate. Considering intertemporal connections in between elements, the choice of the tuning parameter lambda, or a deeper analysis of the results in the real data application are examples of aspects in which this project could be completed.To sum up, the analyzed statistical tool has been proved to be a very useful instrument to find relationships that connect the elements present in a large data set. And after all, partial correlation networks allow the owner of this set to observe and analyze the existing linkages that could have been omitted otherwise.

Reconstruction of Fresnel Holograms using partial wave front information

n this work we analyze the behavior of complex information in Fresnel domain taking into account the limited capability to display complex transmittance values of current liquid crystal devices, when used as holographic displays. In order to do this analysis we compute the reconstruction of Fresnel holograms at several distances using the different parts of the complex distribution (real and imaginary parts, amplitude and phase) as well as using the full complex information adjusted with a method that combines two configurations of the devices in an adding architecture. The RMS error between the amplitude of these reconstructions and the original amplitude is used to evaluate the quality of the information displayed. The results of the error analysis show different behavior for the reconstructions using the different parts of the complex distribution and using the combined method of two devices. Better reconstructions are obtained when using two devices whose configurations densely cover the complex plane when they are added. Simulated and experimental results are also presented.

Beyond pure public and pure private management models: Partial privatization in the European airport industry

The use of private funding and management is enjoying an increasing trend in airports. The literature has not paid enough attention to the mixed management models in this industry, although many European airports take the form of mixed public-private companies, where ownership is shared between public and private sectors. We examine the determinants of the degree of private participation in the European airport sector. Drawing on a sample of the 100 largest European airports, we estimate a multivariate equation in order to determine the role of airport characteristics, fiscal variables, and political factors on the extent of private involvement. Our results confirm the alignment between public and private interests in partially privatized airports. Fiscal constraints and market attractiveness promote private participation. Integrated governance models and the share of network carriers prevent the presence of private ownership, while the degree of private participation appears to be pragmatic rather than ideological.

A prospective cohort study of healthcare visits and rehospitalizations after hospital discharge in community-acquired pneumonia

Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.

A prospective cohort study of healthcare visits and rehospitalizations after hospital discharge in community-acquired pneumonia

Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.

A prospective cohort study of healthcare visits and rehospitalizations after hospital discharge in community-acquired pneumonia

Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.

Choosing hybrid organizations for local services delivery : An empirical analysis of partial privatization

The empirical literature about factors explaining local government delivery choices has traditionally focused the attention on the public or private production dilemma. However, hybrid organizational forms such as mixed public-private firms are increasingly used in several European countries. This paper makes use of survey data from Spanish municipalities to examine motivations of local governments for engaging in hybrid organizational forms. Data refer to two very relevant local services: water distribution and solid waste collection. The empirical analysis indicates that the use of mixed firms emerge as a type of pragmatically based ‘third way’ between pure public and pure private production. Indeed, local governments make use of mixed firms when cost considerations (scale economies, transaction costs and soon), financial constraints and private interests exert contradictory pressures. On the contrary, political and ideological factors do not play any significant role on the local government decision of engaging or not in joint ventures with private partners.

Morphological and Magnetic Properties of Superparamagnetic Carbon-Coated Fe Nanoparticles Produced by Arc Discharge.

Spherical carbon coated iron particles of nanometric diameter in the 5-10 nm range have been produced by arc discharge at near-atmospheric pressure conditions (using 5-8·10 4 Pa of He). The particles exhibit a crystalline dense iron core with an average diameter 7.4 ± 2.0 nm surrounded by a sealed carbon shell, shown by transmission electron microscopy (TEM), selected-area diffrac- tion (SAED), energy-dispersive X-ray analysis (STEM-EDX) and electron energy loss spectroscopy (EELS). The SAED, EDX and EELS results indicate a lack of traces of core oxidized phases showing an efficient protection role of the carbon shell. The magnetic properties of the nanoparticles have been investigated in the 5-300 K temperature range using a superconducting quantum interference device (SQUID). The results reveal a superparamagnetic behaviour with an average monodomain diameter of 7.6 nm of the nanoparticles. The zero field cooled and field cooled (ZFC-FC)magnetization curves show a blocking temperature (TB)at room temperature very suitable for biomedical applications (drug delivery, magnetic resonance imaging-MRI-, hyperthermia).

Pharmaceuticals occurrence in a WWTP with significant industrial contribution and its input into the river system

Occurrence and removal of 81 representative Pharmaceutical Active Compounds (PhACs) were assessed in a municipal WWTP located in a highly industrialized area, with partial water reuse after UV tertiary treatment and discharge to a Mediterranean river. Water monitoring was performed in an integrated way at different points in the WWTP and river along three seasons. Consistent differences between therapeutic classes were observed in terms of influent concentration, removal efficiencies and seasonal variation. Conventional (primary and secondary) treatment was unable to completely remove numerous compounds and UV-based tertiary treatment played a complementary role for some of them. Industrial activity influence was highlighted in terms of PhACs presence and seasonal distribution. Even if global WWTP effluent impact on the studied river appeared to be minor, PhACs resulted widespread pollutants in river waters. Contamination can be particularly critical in summer in water scarcity areas, when water flow decreases considerably