799 resultados para Investor trading costs
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The National Council on Ageing and Older People has undertaken a programme of research into dementia in Ireland. An Action Plan for Dementia provided a framework for the provision and planning of services for people with dementia in Ireland The Costs of Caring for People with Dementia and Related Cognitive Impairments is a complementary report to the Action Plan but with a more quantitative focus. The role of carers is one that is often taken for granted and is seen by many as a free resource. Dr Oâ?TShea explores what caring for a person with dementia entails in terms of the carers time, finances and stress. Evaluating the cost of caring for a person with dementia is the main focus of this study Download the Report here
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This report is published under the Springboard Initiative. It is designed to assist in the process of mapping out the complex issues and data requirements which arise in developing policies for families and in finding actions which are known to promote family well-being Download the Report here
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Independent Report to the Minister for Health and Health Insurance Council Click here to download PDF 179KB Â
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This report was prepared independently by Mr McLoughlin with the insurers support, for consideration by the Minister for Health and the insurers. All parties were very conscious of the importance of respecting competition law when dealing with issues such as prices and costs. The Phase 1 report contains 32 recommendations under 9 headings as follows: Most of the recommendations in the Phase 1 report could be implemented on an administrative basis, while a small number, if adopted, would require legislation. Some of the key recommendations to drive down costs are can be summarised as follows: Controlling costs in private health insurance Care settings and use of resources Age structure of the market Clinical audit and utilisation management Industry approach to private psychiatry Fraud, waste and abuse Chronic disease management Claims processing Admission and discharge procedures and processes. Most of the recommendations in the Phase 1 report could be implemented on an administrative basis, while a small number, if adopted, would require legislation.
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Les coûts de traitement de certains patients s'avèrent extrêmement élevés, et peuvent faire soupçonner une prise en charge médicale inadéquate. Comme I'évolution du remboursement des prestations hospitalières passe à des forfaits par pathologie, il est essentiel de vérifier ce point, d'essayer de déterminer si ce type de patients peut être identifié à leur admission, et de s'assurer que leur devenir soit acceptable. Pour les années 1995 et 1997. les coûts de traitement dépassant de 6 déviations standard le coût moyen de la catégorie diagnostique APDRG ont été identifiés, et les dossiers des 50 patients dont les coûts variables étaient les plus élevés ont été analysés. Le nombre total de patients dont I'hospitalisation a entraîné des coûts extrêmes a passé de 391 en 1995 à 328 patients en 1997 (-16%). En ce qui concerne les 50 patients ayant entraîné les prises en charge les plus chères de manière absolue, les longs séjours dans de multiples services sont fréquents, mais 90% des patients sont sortis de l'hôpital en vie, et près de la moitié directement à domicile. Ils présentaient une variabilité importante de diagnostics et d'interventions, mais pas d'évidence de prise en charge inadéquate. En conclusion, les patients qualifiés de cas extrêmes sur un plan économique, ne le sont pas sur un plan strictement médical, et leur devenir est bon. Face à la pression qu'exercera le passage à un mode de financement par pathologie, les hôpitaux doivent mettre au point un système de revue interne de I'adéquation des prestations fournies basées sur des caractéristiques cliniques, s'ils veulent garantir des soins de qualité. et identifier les éventuelles prestations sous-optimales qu'ils pourraient être amenés à délivrer. [Auteurs] Treatment costs for some patients are extremely high and might let think that medical care could have been inadequate. As hospital financing systems move towards reimbursement by diagnostic groups, it is essential to assess whether inadequate care is provided, to try to identify these patients upon admission, and make sure that their outcome is good. For the years 1995 and 1997, treatment costs exceeding by 6 standard deviations the average cost of their APDRG category were identified, and the charts of the 50 patients with the highest variable costs were analyzed. The total number of patients with such extreme costs diminished from 391 in 1995 to 328 in 1997 (-16%). For the 50 most expensive patients, long stays in several services were frequent, but 90% of these patients left the hospital alive, and about half directly to their home. They presented an important variation in diagnoses and operations, but no evidence for inadequate care. Thus, patients qualified as extreme from an economic perspective cannot be qualified as such from a medical perspective, and their outcome is good. To face the pressure linked with the change in financing system, hospitals must develop an internal review system for assessing the adequacy of care, based on clinical characteristics, if they want to guarantee good quality of care and identify potentially inadequate practice.
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5.11.2014 This report was prepared independently by Mr McLoughlin with the support of the health insurers, and the Health Insurance Authority, for consideration by the Minister for Health and the insurers. All parties were very conscious of the importance of respecting competition law when dealing with issues such as prices and costs. The work of the Group has been conducted in two phases, with the first phase report published on 26 December 2013. The Phase 1 report sets out the context, establishment, membership and terms of reference for both phases of the Groups work. The report also outlines the legislative provisions for private health insurance in Ireland, the objectives of both phases of the review and the approach and methodology followed. Phase 2 of the process focused on the compilation and analysis by the Health Insurance Authority (HIA) of claims data to assess the cost drivers for health insurance, the effects of medical technology and innovations on costs, and claims processing issues.The report and submissions from relevant stakeholders which were examined and considered under the Phase 2 Review can be downloaded below. Download the Review of Measures to Reduce Costs in the Private Health Insurance Market 2014 - Independent Report to the Minister for Health and Health Insurance Council here. Submissions received HSE Submission to Pat McLoughlin, Chair of Review Group IHAI submission 11 April 2014 IHCA submission to Chair 1 May 2014 Insurance Ireland submission Society of Actuaries in Ireland submission St. Patricks Mental Health Services submission April 2014 St John of Gods Submission    ÂÂ
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This paper provides a brief overview of prescription costs and charges in Northern Ireland and compares this data with other jurisdictions in the UK and the Republic of Ireland. Read more here.
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Substantial and compelling medical and public health evidence indicated that non-medical factors, such as home energy costs, profoundly influence child health and well-being. Child Health Impact Assessment offered an evidence- and experience-based method through which to evaluate the implications of policy, regulations, and legislation for children's health and well-being. Our Child Health Impact Assessment of home energy costs revealed that unaffordable home energy has important and preventable adverse consequences for children's health. The available evidence showed that unaffordable home energy has preventable, potential consequences on the health and well-being of the more than 400,000 Massachusetts children living in low-income households. Low-income families are caught in the gap between rising energy prices and available energy assistance. Energy assistance falls far short of the need, especially when there is a spike in energy prices, such as following Hurricane Katrina in 2005. In addition to the exceedingly high housing costs in Massachusetts, our climate means low-income families spend more of their income on home energy (energy burden) to keep warm than families in other regions of the U.S.
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In eusocial Hymenoptera, queens and workers are in conflict over optimal sex allocation. Sex ratio theory, while generating predictions on the extent of this conflict under a wide range of conditions, has largely neglected the fact that worker control of investment almost certainly requires the manipulation of brood sex ratio. This manipulation is likely to incur costs, for example, if workers eliminate male larvae or rear more females as sexuals rather than workers. In this article, we present a model of sex ratio evolution under worker control that incorporates costs of brood manipulation. We assume cost to be a continuous, increasing function of the magnitude of sex ratio manipulation. We demonstrate that costs counterselect sex ratio biasing, which leads to less female-biased population sex ratios than expected on the basis of relatedness asymmetry. Furthermore, differently shaped cost functions lead to different equilibria of manipulation at the colony level. While linear and accelerating cost functions generate monomorphic equilibria, decelerating costs lead to a process of evolutionary branching and hence split sex ratios.
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BACKGROUND To assess and compare the effectiveness and costs of Phototest, Mini Mental State Examination (MMSE), and Memory Impairment Screen (MIS) to screen for dementia (DEM) and cognitive impairment (CI). METHODS A phase III study was conducted over one year in consecutive patients with suspicion of CI or DEM at four Primary Care (PC) centers. After undergoing all screening tests at the PC center, participants were extensively evaluated by researchers blinded to screening test results in a Cognitive-Behavioral Neurology Unit (CBNU). The gold standard diagnosis was established by consensus of expert neurologists. Effectiveness was assessed by the proportion of correct diagnoses (diagnostic accuracy [DA]) and by the kappa index of concordance between test results and gold standard diagnoses. Costs were based on public prices and hospital accounts. RESULTS The study included 140 subjects (48 with DEM, 37 with CI without DEM, and 55 without CI). The MIS could not be applied to 23 illiterate subjects (16.4%). For DEM, the maximum effectiveness of the MMSE was obtained with different cutoff points as a function of educational level [k = 0.31 (95% Confidence interval [95%CI], 0.19-0.43), DA = 0.60 (95%CI, 0.52-0.68)], and that of the MIS with a cutoff of 3/4 [k = 0.63 (95%CI, 0.48-0.78), DA = 0.83 (95%CI, 0.80-0.92)]. Effectiveness of the Phototest [k = 0.71 (95%CI, 0.59-0.83), DA = 0.87 (95%CI, 0.80-0.92)] was similar to that of the MIS and higher than that of the MMSE. Costs were higher with MMSE (275.9 ± 193.3€ [mean ± sd euros]) than with Phototest (208.2 ± 196.8€) or MIS (201.3 ± 193.4€), whose costs did not significantly differ. For CI, the effectiveness did not significantly differ between MIS [k = 0.59 (95%CI, 0.45-0.74), DA = 0.79 (95%CI, 0.64-0.97)] and Phototest [k = 0.58 (95%CI, 0.45-0.74), DA = 0.78 (95%CI, 0.64-0.95)] and was lowest for the MMSE [k = 0.27 (95%CI, 0.09-0.45), DA = 0.69 (95%CI, 0.56-0.84)]. Costs were higher for MMSE (393.4 ± 121.8€) than for Phototest (287.0 ± 197.4€) or MIS (300.1 ± 165.6€), whose costs did not significantly differ. CONCLUSION MMSE is not an effective instrument in our setting. For both DEM and CI, the Phototest and MIS are more effective and less costly, with no difference between them. However, MIS could not be applied to the appreciable percentage of our population who were illiterate.
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Introduction: The Charlson index (Charlson, 1987) is a commonly used comorbidity index in outcome studies. Still, the use of different weights makes its calculation cumbersome, while the sum of its components (comorbidities) is easier to compute. In this study, we assessed the effects of 1) the Charlson index adapted for the Swiss population and 2) the sum of its components (number of comorbidities, maximum 15) on a) in-hospital deaths and b) cost of hospitalization. Methods: Anonymous data was obtained from the administrative database of the department of internal medicine of the Lausanne University Hospital (CHUV). All hospitalizations of adult (>=18 years) patients occurring between 2003 and 2011 were included. For each hospitalization, the Charlson index and the number of comorbidities were calculated. Analyses were conducted using Stata. Results: Data from 32,741 hospitalizations occurring between 2003 and 2011 was analyzed. On bivariate analysis, both the Charlson index and the number of comorbidities were significantly and positively associated with in hospital death. Conversely, multivariate adjustment for age, gender and calendar year using Cox regression showed that the association was no longer significant for the number of comorbidities (table). On bivariate analysis, hospitalization costs increased both with Charlson index and with number of comorbidities, but the increase was much steeper for the number of comorbidities (figure). Robust regression after adjusting for age, gender, calendar year and duration of hospital stay showed that the increase in one comorbidity led to an average increase in hospital costs of 321 CHF (95% CI: 272 to 370), while the increase in one score point of the Charlson index led to a decrease in hospital costs of 49 CHF (95% CI: 31 to 67). Conclusion: Charlson index is better than the number of comorbidities in predicting in-hospital death. Conversely, the number of comorbidities significantly increases hospital costs.
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Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.
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Objectives: To measure the positive predictive value (PPV) of the cost of drug therapy (threshold = 2000 Swiss francs [CHF], US$1440, <euro>1360) as a screening criterion for identifying patients who may benefit from medication review (MR). To describe identified drug-related problems (DRPs) and expense problems (EPs), and to estimate potential savings if all recommendations were accepted. Setting Five voluntary Swiss community pharmacies. Methods: Of 12,680 patients, 592 (4.7%) had drug therapy costs exceeding 2000 CHF over a six-month period from July 1 to December 31, 2002. This threshold limit was set to identify high-risk patients for DRPs and EPs. Three pharmacists consecutively conducted a medication review based on the pharmaceutical charts of 125 sampled patients who met the inclusion criterion. Main outcome measure: The PPV of a threshold of 2000 CHF for identifying patients who might benefit from a MR: true positives were patients with at least one DRP, while false positives were patients with no DRP. Results: The selection based on this criterion had a PPV of 86% for detecting patients with at least one DRP and 95% if EPs were also considered. There was a mean of 2.64 (SD = 2.20) DRPs per patient and a mean of 2.14 (SD = 1.39) EPs per patient. Of these patients, 90% were over 65 years old or were treated with at least five chronic medications, two common criteria for identifying patients at risk of DRPs. The main types of DRPs were drug-drug interactions, compliance problems and duplicate drugs. Mean daily drug cost per patient was CHF 14.87 (US$10.70, <euro>10.10). A potential savings of CHF 1.67 (US$1.20, <euro>1.14) per day (11%) was estimated if all recommendations to solve DRPs and EPs suggested herein were implemented. Conclusion: Further studies should investigate whether the potential benefit of medication reviews in preventing DRPs and containing costs in this patient group can be confirmed in a real practice environment. [Authors]
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Parasites often exert severe negative effects upon their host's fitness. Natural selection has therefore prompted the evolution of anti-parasite mechanisms such as grooming. Grooming is efficient at reducing parasitic loads in both birds and mammals, but the energetic costs it entails have not been properly quantified. We measured both the energetic metabolism and behaviour of greater mouse-eared bats submitted to three different parasite loads (no, 20 and 40 mites) during whole daily cycles. Mites greatly affected their time and energy budgets. They caused increased grooming activity, reduced the overall time devoted to resting and provoked a dramatic shortening of resting bout duration. Correspondingly, the bats' overall metabolism (oxygen consumption) increased drastically with parasite intensity and, during the course of experiments, the bats lost more weight when infested with 40 rather than 20 or no parasites. The short-term energetic constraints induced by anti-parasite grooming are probably associated with long-term detrimental effects such as a decrease in survival and overall reproductive value.