Técnica de respiración Jacobson para reducir el estrés de enfermeras de unidades de cuidados intensivos

Problema del estudio: El sector de enfermería perteneciente a las Unidades de Cuidados Intensivos presentan estrés, y se ofrece la Técnica de respiración Jacobson como herramienta para disminuir los niveles y los problemas derivados del estrés. Objetivo general: Evaluar la eficacia de la técnica de respiración Jacobson sobre el estrés en los profesionales de enfermería de UCI. Objetivos específicos: Diseñar un taller de respiración de la técnica Jacobson, para enfermería de UCI; comparar los niveles de estrés de los enfermeros de UCI antes y después de la intervención mediante los cuestionarios STAI, NSS y NWI; y evaluar los principales factores estresantes de los enfermeros/as en su trabajo, comparando los 2 grupos de la intervención (los que realizan el programa de la Técnica de relajación Jacobson y los que no participan). Metodología: El ámbito de estudio será una planta del servicio de UCI de un Hospital de Agudos. Se trata de un ensayo clínico aleatorio y experimental, que constará de 2 grupos control; uno realizará la intervención (Grupo 1) y el otro no (Grupo 2). Los sujetos del estudio son las enfermeras/os de una planta de UCI de un Hospital de Agudos, incluidas enfermeras administrativas y gerentes. Los instrumentos que se utilizarán son: la recogida de datos personales de cada participante, Test STAI (State-Trait Anxiety Inventory), Escala de Estrés de Enfermería NSS (Nursing Stress Scale) y Escala del entorno de práctica enfermera del NWI (Nursing Work Index). Limitaciones del estudio: Pérdidas de seguimiento y la no participación de las enfermeras/os en el estudio.

Issue review : fiscal year 2011 general fund budget projection.

This issue review provides an overall summary of Iowa's general fund budget. This issue review provides projections for the 2010 fiscal year and fiscal year 2011 budgets based on the October 7, 2009 revenue estimating conference's (REC) revenue estimate. The projection also includes the impact of the Governor's 10 percent across-the-board reduction to fiscal year 2010 general fund appropriations, and the Legislative Services Agency's most recent estimates of built-in and anticipated expenditures for fiscal year 2011.

Behavioural queueing : cellular automata and a laboratory experiment

Dans cette thèse, nous étudions les aspects comportementaux d'agents qui interagissent dans des systèmes de files d'attente à l'aide de modèles de simulation et de méthodologies expérimentales. Chaque période les clients doivent choisir un prestataire de servivce. L'objectif est d'analyser l'impact des décisions des clients et des prestataires sur la formation des files d'attente. Dans un premier cas nous considérons des clients ayant un certain degré d'aversion au risque. Sur la base de leur perception de l'attente moyenne et de la variabilité de cette attente, ils forment une estimation de la limite supérieure de l'attente chez chacun des prestataires. Chaque période, ils choisissent le prestataire pour lequel cette estimation est la plus basse. Nos résultats indiquent qu'il n'y a pas de relation monotone entre le degré d'aversion au risque et la performance globale. En effet, une population de clients ayant un degré d'aversion au risque intermédiaire encoure généralement une attente moyenne plus élevée qu'une population d'agents indifférents au risque ou très averses au risque. Ensuite, nous incorporons les décisions des prestataires en leur permettant d'ajuster leur capacité de service sur la base de leur perception de la fréquence moyenne d'arrivées. Les résultats montrent que le comportement des clients et les décisions des prestataires présentent une forte "dépendance au sentier". En outre, nous montrons que les décisions des prestataires font converger l'attente moyenne pondérée vers l'attente de référence du marché. Finalement, une expérience de laboratoire dans laquelle des sujets jouent le rôle de prestataire de service nous a permis de conclure que les délais d'installation et de démantèlement de capacité affectent de manière significative la performance et les décisions des sujets. En particulier, les décisions du prestataire, sont influencées par ses commandes en carnet, sa capacité de service actuellement disponible et les décisions d'ajustement de capacité qu'il a prises, mais pas encore implémentées. - Queuing is a fact of life that we witness daily. We all have had the experience of waiting in line for some reason and we also know that it is an annoying situation. As the adage says "time is money"; this is perhaps the best way of stating what queuing problems mean for customers. Human beings are not very tolerant, but they are even less so when having to wait in line for service. Banks, roads, post offices and restaurants are just some examples where people must wait for service. Studies of queuing phenomena have typically addressed the optimisation of performance measures (e.g. average waiting time, queue length and server utilisation rates) and the analysis of equilibrium solutions. The individual behaviour of the agents involved in queueing systems and their decision making process have received little attention. Although this work has been useful to improve the efficiency of many queueing systems, or to design new processes in social and physical systems, it has only provided us with a limited ability to explain the behaviour observed in many real queues. In this dissertation we differ from this traditional research by analysing how the agents involved in the system make decisions instead of focusing on optimising performance measures or analysing an equilibrium solution. This dissertation builds on and extends the framework proposed by van Ackere and Larsen (2004) and van Ackere et al. (2010). We focus on studying behavioural aspects in queueing systems and incorporate this still underdeveloped framework into the operations management field. In the first chapter of this thesis we provide a general introduction to the area, as well as an overview of the results. In Chapters 2 and 3, we use Cellular Automata (CA) to model service systems where captive interacting customers must decide each period which facility to join for service. They base this decision on their expectations of sojourn times. Each period, customers use new information (their most recent experience and that of their best performing neighbour) to form expectations of sojourn time at the different facilities. Customers update their expectations using an adaptive expectations process to combine their memory and their new information. We label "conservative" those customers who give more weight to their memory than to the xiv Summary new information. In contrast, when they give more weight to new information, we call them "reactive". In Chapter 2, we consider customers with different degree of risk-aversion who take into account uncertainty. They choose which facility to join based on an estimated upper-bound of the sojourn time which they compute using their perceptions of the average sojourn time and the level of uncertainty. We assume the same exogenous service capacity for all facilities, which remains constant throughout. We first analyse the collective behaviour generated by the customers' decisions. We show that the system achieves low weighted average sojourn times when the collective behaviour results in neighbourhoods of customers loyal to a facility and the customers are approximately equally split among all facilities. The lowest weighted average sojourn time is achieved when exactly the same number of customers patronises each facility, implying that they do not wish to switch facility. In this case, the system has achieved the Nash equilibrium. We show that there is a non-monotonic relationship between the degree of risk-aversion and system performance. Customers with an intermediate degree of riskaversion typically achieve higher sojourn times; in particular they rarely achieve the Nash equilibrium. Risk-neutral customers have the highest probability of achieving the Nash Equilibrium. Chapter 3 considers a service system similar to the previous one but with risk-neutral customers, and relaxes the assumption of exogenous service rates. In this sense, we model a queueing system with endogenous service rates by enabling managers to adjust the service capacity of the facilities. We assume that managers do so based on their perceptions of the arrival rates and use the same principle of adaptive expectations to model these perceptions. We consider service systems in which the managers' decisions take time to be implemented. Managers are characterised by a profile which is determined by the speed at which they update their perceptions, the speed at which they take decisions, and how coherent they are when accounting for their previous decisions still to be implemented when taking their next decision. We find that the managers' decisions exhibit a strong path-dependence: owing to the initial conditions of the model, the facilities of managers with identical profiles can evolve completely differently. In some cases the system becomes "locked-in" into a monopoly or duopoly situation. The competition between managers causes the weighted average sojourn time of the system to converge to the exogenous benchmark value which they use to estimate their desired capacity. Concerning the managers' profile, we found that the more conservative Summary xv a manager is regarding new information, the larger the market share his facility achieves. Additionally, the faster he takes decisions, the higher the probability that he achieves a monopoly position. In Chapter 4 we consider a one-server queueing system with non-captive customers. We carry out an experiment aimed at analysing the way human subjects, taking on the role of the manager, take decisions in a laboratory regarding the capacity of a service facility. We adapt the model proposed by van Ackere et al (2010). This model relaxes the assumption of a captive market and allows current customers to decide whether or not to use the facility. Additionally the facility also has potential customers who currently do not patronise it, but might consider doing so in the future. We identify three groups of subjects whose decisions cause similar behavioural patterns. These groups are labelled: gradual investors, lumpy investors, and random investor. Using an autocorrelation analysis of the subjects' decisions, we illustrate that these decisions are positively correlated to the decisions taken one period early. Subsequently we formulate a heuristic to model the decision rule considered by subjects in the laboratory. We found that this decision rule fits very well for those subjects who gradually adjust capacity, but it does not capture the behaviour of the subjects of the other two groups. In Chapter 5 we summarise the results and provide suggestions for further work. Our main contribution is the use of simulation and experimental methodologies to explain the collective behaviour generated by customers' and managers' decisions in queueing systems as well as the analysis of the individual behaviour of these agents. In this way, we differ from the typical literature related to queueing systems which focuses on optimising performance measures and the analysis of equilibrium solutions. Our work can be seen as a first step towards understanding the interaction between customer behaviour and the capacity adjustment process in queueing systems. This framework is still in its early stages and accordingly there is a large potential for further work that spans several research topics. Interesting extensions to this work include incorporating other characteristics of queueing systems which affect the customers' experience (e.g. balking, reneging and jockeying); providing customers and managers with additional information to take their decisions (e.g. service price, quality, customers' profile); analysing different decision rules and studying other characteristics which determine the profile of customers and managers.

Issue review : general fund revenue transfers and appropriations shifts.

This issue review examines how non-general-fund revenue sources have been used to help balance the general fund budget over the last ten years. The report includes examination of non-general-fund appropriations to fund agency operations and programs traditionally funded from the general fund. This document also reviews revenues that have been shifted from a non-general-fund source to the general fund.

Report on a review of selected general and application controls over the Iowa Public Employees’ Retirement System I-Que Pension Administration System for the period May 5, 2014 through July 1, 2014

Report on a review of selected general and application controls over the Iowa Public Employees’ Retirement System I-Que Pension Administration System for the period May 5, 2014 through July 1, 2014

Aproximació del vigent Pla General Comptable a la NIC 1: presentació dels estats financers

L'objectiu principal del treball consisteix en analitzar quines són les modificacions de la Norma Internacional de Comptabilitat 1: Presentació dels estats financers, i veure com afecta als estats financers de les empreses que cotitzen a borsa i que presenten els seus comptes anuals consolidats. A la vegada, el treball inclou dos estudis empírics. El primer consisteix en analitzar si les empreses de l'Ibex 35 compleixen els requisits de la NIC 1 modificada. I el segon estudi consisteix en fer una anàlisi economica-­‐ financera d'aquestes empreses.

Summary of the opinions of the Attorney General, 2015

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2014

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2012

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2011

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2009

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2007

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2008

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2006

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.

Summary of the opinions of the Attorney General, 2005

Compiled biennially as Official opinions of the Attorney General in the Report of the Attorney General. Report year ends December 31. Slip opinions of the Attorney General.