Improving patient safety: implementation of falls prevention strategy in hospital

Abstract Fall occur in all types of healthcare institutions and to all patient populations. Falls are the most common adverse event reported in hospitals. To implement appropriate fall prevention strategy in hospital quite great challenge for hospital administration and quality improvement team, especially if strategy never used before. The purpose of this article was to describe the background of fall prevention strategy implementation in acute care hospitals. Patient Safety Goals specify that health care organizations must reduce the risk of patient harm resulting from fall. Hospitals are required to implement a program of fall risk reduction. All hospital staff is responsible for reducing fall risks and ensuring a safe environment free from hazards. The fall risk assessment tools are methods for identifying patients who are at risk for falling. Universal fall interventions should be present for all patients regardless of risk of falling. A postfall analysis should lead to an interdisciplinary professional care plan to reduce the risk of future falls, recurrent falls and injuries. Theory and practice Improving patient safety: implementation of falls prevention strategy in hospita

The Educational and Professional Background of Central Bankers and its Effect on Inflation - An Empirical Analysis

We assume that central banks can control inflation so that inflation rates reflect the preferences of the central bank council.The hypothesis to be tested is that these preferences depend on the central bankers? educational and/or professional background. In a panel data analysis for the euro area and eleven countries since 1973,we explain inflation first by the weights which the various educational and professional characteristics occupy in the central bank council and second by the education or profession of the median central bank council member. Our results indicate that, with regard to professional background, former members of the central bank staff as well as former bankers and businessmen have the strongest inflation aversion and that former trade unionists and politicians seem to have the highest inflation preference.As for the education of the council members, our results are less robust. However, if the median member of the central bank council has studied business, the inflation rate is significantly lower than if she has studied economics

Spatially modulated structural colour in bird feathers.

Eurasian Jay (Garrulus glandarius) feathers display periodic variations in the reflected colour from white through light blue, dark blue and black. We find the structures responsible for the colour are continuous in their size and spatially controlled by the degree of spinodal phase separation in the corresponding region of the feather barb. Blue structures have a well-defined broadband ultra-violet (UV) to blue wavelength distribution; the corresponding nanostructure has characteristic spinodal morphology with a lengthscale of order 150 nm. White regions have a larger 200 nm nanostructure, consistent with a spinodal process that has coarsened further, yielding broader wavelength white reflectance. Our analysis shows that nanostructure in single bird feather barbs can be varied continuously by controlling the time the keratin network is allowed to phase separate before mobility in the system is arrested. Dynamic scaling analysis of the single barb scattering data implies that the phase separation arrest mechanism is rapid and also distinct from the spinodal phase separation mechanism i.e. it is not gelation or intermolecular re-association. Any growing lengthscale using this spinodal phase separation approach must first traverse the UV and blue wavelength regions, growing the structure by coarsening, resulting in a broad distribution of domain sizes

Keratins extracted from Merino wool and Brown Alpaca fibres as potential fillers for PLLA-based biocomposites

This paper reports on the promising perspectives of using keratins extracted by sulphitolysis reaction from Merino wool (KM) and Brown Alpaca fibres (KA) in poly (l-lactide) (PLLA)-based biomaterials. Both types of keratin were dispersed in chloroform (CHCl3) and tetrahydrofuran (THF), and optimisation of dispersion methods and parameters using the two selected solvents was considered. The extraction yield, as well as supermolecular structures, morphology and thermal behaviour of the two proteins before and after the regeneration in CHCl3 was investigated. The results indicated that the supermolecular structures and thermal behaviour of the two proteins were affected by the interaction with CHCl3, producing decrease of the amount of α-helix structures in KM and an increase for KA, a slight decrease of β-sheet structures and a reduced thermal stability of α-crystallites for both keratins. Biocomposite films based on PLLA polymer matrix and two different contents of Merino wool and Brown Alpaca keratins (1 % and 5 % wt) were successfully developed by solvent casting in chloroform and the resulting morphologies after incorporation of different keratins (as a function of content and source) give evidence of different surface topographies, with a random distribution of keratin in flask-like structure. PLLA/5KA and PLLA/5KM samples with 1 % and 5 % wt of keratins show a specific pore-like surface microstructure, induced by solvent evaporation.Peer Reviewe

Imaging scatterometry and microspectrophotometry of lycaenid butterfly wing scales with perforated multilayers

We studied the structural as well as spatial and spectral reflectance characteristics of the wing scales of lycaenid butterfly species, where the scale bodies consist of perforated multilayers. The extent of the spatial scattering profiles was measured with a newly built scatterometer. The width of the reflectance spectra, measured with a microspectrophotometer, decreased with the degree of perforation, in agreement with the calculations based on multilayer theory

Deconstructing and Reconstructing Resilience: A Dynamic Network Approach

Resilience is still often viewed as a unitary personality construct that, as a kind of antinosological entity, protects individuals against stress-related mental problems. However, increasing evidence indicates that maintaining mental health in the face of adversity results from complex and dynamic processes of adaptation to stressors that involve the activation of several separable protective factors. Such resilience factors can reside at biological, psychological, and social levels and may include stable predispositions (such as genotype or personality traits) and malleable properties, skills, capacities, or external circumstances (such as gene-expression patterns, emotion-regulation abilities, appraisal styles, or social support). We abandon the notion of resilience as an entity here. Starting from a conceptualization of psychiatric disorders as dynamic networks of interacting symptoms that may be driven by stressors into stable maladaptive states of disease, we deconstruct the maintenance of mental health during stressor exposure into time-variant dampening influences of resilience factors onto these symptom networks. Resilience factors are separate additional network nodes that weaken symptom–symptom interconnections or symptom autoconnections, thereby preventing maladaptive system transitions. We argue that these hybrid symptom-and-resilience-factor networks provide a promising new way of unraveling the complex dynamics of mental health