Allelic proportions of 16 STR loci-including the new European Standard Set (ESS) loci-in a Swiss population sample.

Allele frequencies and forensically relevant population statistics of 16 STR loci, including the new European Standard Set (ESS) loci, were estimated from 668 unrelated individuals of Caucasian appearance living in different parts of Switzerland. The samples were amplified with a combination of the following three kits: AmpFlSTR® NGM SElect?, PowerPlex® ESI17 and PowerPlex® ESX 17. All loci were highly polymorphic and no significant departure from Hardy-Weinberg equilibrium and linkage equilibrium was detected after correction for sampling.

Sample Policy Prohibiting Harassment in the Workplace, 2006

A key component in preventing harassment is having each employer develop and implement a policy which prohibits harassment in the workplace. Having such a policy in place is also an important part of an employer’s defense should a harassment complaint be filed against the employer. This policy should be separate from and in addition to a general anti-discrimination policy. A good policy will set forth procedures that will encourage victims to come forward, that will protect confidentiality of the persons involved, that guards against retaliation, and that brings complaints to a resolution.

La planification de sortie des personnes âgées hospitalisées dans un service de médecine

Contexte: la planification infirmière de sortie des personnes âgées est une composante importante des soins pour assurer une transition optimale entre l'hôpital et la maison. Beaucoup d'événements indésirables peuvent survenir après la sortie de l'hôpital. Dans une perspective de système de santé, les facteurs qui augmentent ce risque incluent un nombre croissant de patients âgés, l'augmentation de la complexité des soins nécessitant une meilleure coordination des soins après la sortie, ainsi qu'une augmentation de la pression financière. Objectif: évaluer si les interventions infirmières liées à la planification de sortie chez les personnes âgées et leurs proches aidants sont prédictives de leur perception d'être prêts pour le départ, du niveau d'anxiété du patient le jour de la sortie de l'hôpital et du nombre de recours non programmé aux services de santé durant les trente jours après la sortie. Méthode: le devis est prédictif corrélationnel avec un échantillon de convenance de 235 patients. Les patients âgés de 65 ans de quatre unités d'hôpitaux dans le canton de Vaud en Suisse ont été recrutés entre novembre 2011 et octobre 2012. Les types et les niveaux d'interventions infirmières ont été extraits des dossiers de soins et analysés selon les composantes du modèle de Naylor. La perception d'être prêt pour la sortie et l'anxiété ont été mesurées un jour avant la sortie en utilisant l'échelle de perception d'être prêt pour la sortie et l'échelle Hospital Anxiety and Depression. Un mois après la sortie, un entretien téléphonique a été mené pour évaluer le recours non programmé aux services de santé durant cette période. Des analyses descriptives et un modèle randomisé à deux niveaux ont été utilisés pour analyser les données. Résultats: peu de patients ont reçu une planification globale de sortie. L'intervention la plus fréquente était la coordination (M = 55,0/100). et la moins fréquente était la participation du patient à la planification de sortie (M = 16,1/100). Contrairement aux hypothèses formulées, les patients ayant bénéficié d'un plus grand nombre d'interventions infirmières de préparation à la sortie ont un niveau moins élevé de perception d'être prêt pour le départ (B = -0,3, p < 0,05, IC 95% [-0,57, -0,11]); le niveau d'anxiété n'est pas associé à la planification de sortie (r = -0,21, p <0,01) et la présence de troubles cognitifs est le seul facteur prédictif d'une réhospitalisation dans les 30 jours après la sortie de l'hôpital ( OR = 1,50, p = 0,04, IC 95% [1,02, 2,22]). Discussion: en se focalisant sur chaque intervention de la planification de sortie, cette étude permet une meilleure compréhension du processus de soins infirmiers actuellement en cours dans les hôpitaux vaudois. Elle met en lumière les lacunes entre les pratiques actuelles et celles de pratiques exemplaires donnant ainsi une orientation pour des changements dans la pratique clinique et des recherches ultérieures. - Background: Nursing discharge planning in elderly patients is an important component of care to ensure optimal transition from hospital to home. Many adverse events may occur after hospital discharge. From a health care system perspective, contributing factors that increase the risk of these adverse events include a growing number of elderly patients, increased complexity of care requiring better care coordination after discharge, as well as increased financial pressure. Aim: To investigate whether older medical inpatients who receive comprehensive discharge planning interventions a) feel more ready for hospital discharge, b) have reduced anxiety at the time of discharge, c) have lower health care utilization after discharge compared to those who receive less comprehensive interventions. Methods: Using a predictive correlational design, a convenience sample of 235 patients was recruited. Patients aged 65 and older from 4 units of hospitals in the canton of Vaud in Switzerland were enrolled between November 2011 and October 2012. Types and level of interventions were extracted from the medical charts and analyzed according to the components of Naylor's model. Discharge readiness and anxiety were measured one day before discharge using the Readiness for Hospital Discharge Scale and the Hospital Anxiety and Depression scale. A telephone interview was conducted one month after hospital discharge to asses unplanned health services utilization during this follow-up period. Descriptive analyses and a two- level random model were used for statistical analyses. Results: Few patients received comprehensive discharge planning interventions. The most frequent intervention was Coordination (M = 55,0/100) and the least common was Patient participation in the discharge planning (M = 16,1/100). Contrary to our hypotheses, patients who received more nursing discharge interventions were significantly less ready to go home (B = -0,3, p < 0,05, IC 95% [-0,57, -0,11]); their anxiety level was not associated with their readiness for hospital discharge (r = -0,21, p <0,01) and cognitive impairment was the only factor that predicted rehospitalization within 30 days after discharge ( OR = 1,50, p = 0,04, IC 95% [1,02, 2,22]). Discussion: By focusing on each component of the discharge planning, this study provides a greater and more detailed insight on the usual nursing process currently performed in medical inpatients units. Results identified several gaps between current and Best practices, providing guidance to changes in clinical practice and further research.

Mapping Nursing language terms of Parkinson's disease

OBJECTIVE Implementing cross-mapping of Nursing language terms with the terminology of NANDA International, contained in records of patients with Parkinson's disease in rehabilitation. METHOD Descriptive study of cross mapping, carried out in three steps. A simple random sample of 67 files of patients who participated in the rehabilitation in the period between March 2009 and April 2013. RESULTS We identified 454 terms of Nursing language that resulted in 54 diagnoses after cross-mapping, present in 11 of the 13 taxonomy domains. The most mapped diagnosis was "Impaired urinary elimination" (59.7%), followed by "Urgent urinary incontinence" (55.2%), "Willingness to self-control improved health" (50.7%), "Constipation" (47.8%) and "Compromised physical mobility" (29.9%). Seven described terms were not mapped due to a corresponding defining characteristic being absent. CONCLUSION It was possible to determine the profile of patients, as well as the complexity of nursing care in the rehabilitation of patients with Parkinson's disease.

Some last thoughts on compositional data analysis

One of the disadvantages of old age is that there is more past than future: this,however, may be turned into an advantage if the wealth of experience and, hopefully,wisdom gained in the past can be reflected upon and throw some light on possiblefuture trends. To an extent, then, this talk is necessarily personal, certainly nostalgic,but also self critical and inquisitive about our understanding of the discipline ofstatistics. A number of almost philosophical themes will run through the talk: searchfor appropriate modelling in relation to the real problem envisaged, emphasis onsensible balances between simplicity and complexity, the relative roles of theory andpractice, the nature of communication of inferential ideas to the statistical layman, theinter-related roles of teaching, consultation and research. A list of keywords might be:identification of sample space and its mathematical structure, choices betweentransform and stay, the role of parametric modelling, the role of a sample spacemetric, the underused hypothesis lattice, the nature of compositional change,particularly in relation to the modelling of processes. While the main theme will berelevance to compositional data analysis we shall point to substantial implications forgeneral multivariate analysis arising from experience of the development ofcompositional data analysis…

What kind of relationships between the evolution of pain, beliefs and bio-psycho-social complexity after a locomotor traumatism?

Introduction: Pain and beliefs have an influence on the patient's course in rehabilitation, pain causes fears and fears influence pain perception. The aim of this study is to understand pain and beliefs evolutions during rehabilitation taking into account of bio-psycho-social complexity.Patients and methods: 631 consecutive patients admitted in rehabilitation after a musculoskeletal traumatism were included and assessed at admission and at discharge. Pain was measured by VAS (Visual Analogical Scale), bio-psycho-social complexity by Intermed scale, and beliefs by judgement on Lickert scales. Four kinds of beliefs were evaluated: fear of a severe origin of pain, fear of movement, fear of pain and feeling of distress (loss of control). The association between the changes in pain and beliefs during the hospitalization was assessed by linear regressions.Results: After adjustment for gender, age, education and native language, patients with a decrease in pain during rehabilitation have higher probability of decreasing their fears. For the distress feeling, this relationship is weaker among bio-psycho-socially complex patients (odds-ratio 1.22 for each decreasing of 10mm/100 VAS) than among non-complex patients (OR 1.47). Patients with a pain decrease of 30% or more during hospitalization have higher probability of seeing their fears decrease, this relationship being stronger in complex patient for fear of a severe origin of pain.Discussion: The relationships between evolution of pain and beliefs move in the same direction. The higher a patient feels pain, the less they could be able to modify their dysfunctional beliefs. When the pain diminishes of 30% or more, the probability to challenge the beliefs is increased. The prognostic with regard to feeling of distress and fear of a severe origin of pain, is worse among bio-psycho-socially complex patients.

Asymptotic robustness in multi-sample analysis of multivariate linear relations

Standard methods for the analysis of linear latent variable models oftenrely on the assumption that the vector of observed variables is normallydistributed. This normality assumption (NA) plays a crucial role inassessingoptimality of estimates, in computing standard errors, and in designinganasymptotic chi-square goodness-of-fit test. The asymptotic validity of NAinferences when the data deviates from normality has been calledasymptoticrobustness. In the present paper we extend previous work on asymptoticrobustnessto a general context of multi-sample analysis of linear latent variablemodels,with a latent component of the model allowed to be fixed across(hypothetical)sample replications, and with the asymptotic covariance matrix of thesamplemoments not necessarily finite. We will show that, under certainconditions,the matrix $\Gamma$ of asymptotic variances of the analyzed samplemomentscan be substituted by a matrix $\Omega$ that is a function only of thecross-product moments of the observed variables. The main advantage of thisis thatinferences based on $\Omega$ are readily available in standard softwareforcovariance structure analysis, and do not require to compute samplefourth-order moments. An illustration with simulated data in the context ofregressionwith errors in variables will be presented.

Finite sample nonparametric tests for linear regressions

We introduce several exact nonparametric tests for finite sample multivariatelinear regressions, and compare their powers. This fills an important gap inthe literature where the only known nonparametric tests are either asymptotic,or assume one covariate only.

Multi-sample analysis of moment-structures: Asymptotic validity of inferences based on second-order moments

In moment structure analysis with nonnormal data, asymptotic valid inferences require the computation of a consistent (under general distributional assumptions) estimate of the matrix $\Gamma$ of asymptotic variances of sample second--order moments. Such a consistent estimate involves the fourth--order sample moments of the data. In practice, the use of fourth--order moments leads to computational burden and lack of robustness against small samples. In this paper we show that, under certain assumptions, correct asymptotic inferences can be attained when $\Gamma$ is replaced by a matrix $\Omega$ that involves only the second--order moments of the data. The present paper extends to the context of multi--sample analysis of second--order moment structures, results derived in the context of (simple--sample) covariance structure analysis (Satorra and Bentler, 1990). The results apply to a variety of estimation methods and general type of statistics. An example involving a test of equality of means under covariance restrictions illustrates theoretical aspects of the paper.

Impact of biocontrol strain Pseudomonas fluorescens CHA0 on rhizosphere bacteria isolated from barley (Hordeum vulgare L.) with special reference to Cytophaga-like bacteria.

AIMS: To assess the impact of the biocontrol strain Pseudomonas fluorescens CHA0 on a collection of barley rhizosphere bacteria using an agar plate inhibition assay and a plant microcosm, focusing on a CHA0-sensitive member of the Cytophaga-like bacteria (CLB). METHODS AND RESULTS: The effect of strain CHA0 on a collection of barley rhizosphere bacteria, in particular CLB and fluorescent pseudomonads sampled during a growth season, was assessed by a growth inhibition assay. On average, 85% of the bacteria were sensitive in the May sample, while the effect was reduced to around 68% in the July and August samples. In the May sample, around 95% of the CLB and around 45% of the fluorescent pseudomonads were sensitive to strain CHA0. The proportion of CHA0-sensitive CLB and fluorescent pseudomonad isolates decreased during the plant growth season, i.e. in the July and August samples. A particularly sensitive CLB isolate, CLB23, was selected, exposed to strain CHA0 (wild type) and its genetically modified derivatives in the rhizosphere of barley grown in gnotobiotic soil microcosms. Two dry-stress periods were imposed during the experiment. Derivatives of strain CHA0 included antibiotic or exopolysaccharide (EPS) overproducing strains and a dry-stress-sensitive mutant. Despite their inhibitory activity against CLB23 in vitro, neither wild-type strain CHA0, nor any of its derivatives, had a major effect on culturable and total cell numbers of CLB23 during the 23-day microcosm experiment. Populations of all inoculants declined during the two dry-stress periods, with soil water contents below 5% and plants reaching the wilting point, but they recovered after re-wetting the soil. Survival of the dry-stress-sensitive mutant of CHA0 was most affected by the dry periods; however, this did not result in an increased population density of CLB23. CONCLUSIONS: CLB comprise a large fraction of barley rhizosphere bacteria that are sensitive to the biocontrol pseudomonad CHA0 in vitro. However, in plant microcosm experiments with varying soil humidity conditions, CHA0 or its derivatives had no major impact on the survival of the highly sensitive CLB strain, CLB23, during two dry-stress periods and a re-wetting period; all co-existed well in the rhizosphere of barley plants. SIGNIFICANCE AND IMPACT OF THE STUDY: Results indicate a lack of interaction between the biocontrol pseudomonad CHA0 and a sensitive CLB when the complexity increases from agar plate assays to plant microcosm experiments. This suggests the occurrence of low levels of antibiotic production and/or that the two bacterial genera occupy different niches in the rhizosphere.

Scaled and adjusted restricted tests in multi-sample analysis of moment structures

We extend to score, Wald and difference test statistics the scaled and adjusted corrections to goodness-of-fit test statistics developed in Satorra and Bentler (1988a,b). The theory is framed in the general context of multisample analysis of moment structures, under general conditions on the distribution of observable variables. Computational issues, as well as the relation of the scaled and corrected statistics to the asymptotic robust ones, is discussed. A Monte Carlo study illustrates thecomparative performance in finite samples of corrected score test statistics.

Bringing game theory to hypothesis testing: Establishing finite sample bounds on inference

Small sample properties are of fundamental interest when only limited data is avail-able. Exact inference is limited by constraints imposed by speci.c nonrandomizedtests and of course also by lack of more data. These e¤ects can be separated as we propose to evaluate a test by comparing its type II error to the minimal type II error among all tests for the given sample. Game theory is used to establish this minimal type II error, the associated randomized test is characterized as part of a Nash equilibrium of a .ctitious game against nature.We use this method to investigate sequential tests for the di¤erence between twomeans when outcomes are constrained to belong to a given bounded set. Tests ofinequality and of noninferiority are included. We .nd that inference in terms oftype II error based on a balanced sample cannot be improved by sequential sampling or even by observing counter factual evidence providing there is a reasonable gap between the hypotheses.