187 resultados para unit pricing


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Objective. To examine factors that could help identify those most at risk of readmission to an acute psychiatric in-patient unit within 28 days of a discharge.

Method. A detailed file audit was conducted comparing 54 consecutive patients who had been readmitted within 28 days of discharge with 61 patients, chosen at random, who had not been readmitted during the same period.

Results. Readmission within 28-days of discharge was associated with having been admitted in the previous year (P = 0.004), receiving the Disability Support Pension (P = 0.015), not having a discharge plan sent to the patient’s GP on discharge from the index admission (P = 0.05), receiving follow-up by the mental health team within 7 days of discharge (P = 0.007) and being unemployed (P = 0.015).

Conclusions. Targeting those with previous admissions for focussed discharge planning may help organisations reduce the numbers of unnecessary early readmissions.

What is known about the topic?
Readmission within 28-days of discharge is being increasingly used by service funders and organisations as an indicator of the effectiveness of community care and of the organisation’s ability to provide continuous care across programs. Previous studies, mainly conducted in the US in the mid-90s, often reach contradictory conclusions and their relevance to the Australian setting is limited.

What does this paper add?
This paper uses data from an Australia mental health service. It identifies patient and service characteristics associated with rapid re-admission and provides a baseline to evaluate strategies to reduce the readmission rate.

What are the implications for practitioners? This paper highlights the importance of careful discharge planning and communication with general practitioners particularly in relation to patients who have had previous admissions.

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In this paper, we propose a new augmented Dickey–Fuller-type test for unit roots which accounts for
two structural breaks. We consider two different specifications: (a) two breaks in the level of a trending data series and (b) two breaks in the level and slope of a trending data series. The breaks whose time of occurrence is assumed to be unknown are modeled as innovational outliers and thus take effect gradually. Using Monte Carlo simulations, we showthat our proposed test has correct size, stable power, and identifies the structural breaks accurately.

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This article examines the link between macroeconomic variables and equity returns in Australia by testing conditional asset pricing models. We find that conditioning the Fama-French model with a series of macroeconomic variables does not considerably improve its performance. However, we do find that the Fama-French factors, SMB and HML, retain their ability to explain equity returns even after the model is conditioned on macroeconomic variables. Our findings suggest that investors do not adjust their risk premiums according to the changes in the macroeconomic variables we employ.

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This paper explores first-day returns on infrastructure entity initial public offerings (IPOs) in Australia from 1996 to 2007. While a good deal has been written on the first-day returns of industrial and mining company IPOs and Real Estate Investment Trust IPOs, first-day returns of infrastructure entity IPOs have yet to be reported in the literature. The study uses ordinary least squares regression analysis to identify factors that might influence the percentage first-day returns theoretically available to investing subscribers and factors that might influence the aggregate amount of money left to subscribers by issuers. The study finds that first-day returns, on average, are not significantly different from zero. There is evidence, however, that suggests higher dividend yields and higher percentage direct costs of capital raising influence these first-day returns. The study also finds that infrastructure entity IPOs that seek to raise more equity capital leave less money on the table for subscribing investors.

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This study examines the pattern of asset allocation and the performance of unit trust in Malaysia over the post crisis period by using risk-adjusted performance measures and multi-factor model from the year 2000 to 2004. Evidence from the statistics suggests that an active asset allocation strategy had been observed among Malaysian fund managers during the post Asian financial crisis. It is also suggested that investment allocation in equity remained a dominant vehicle for investment and asset allocation. Findings from multifactor model suggest that all funds of different objectives registered positive alphas except for income funds, with growth funds being among the top. While balanced funds registered highest diversification effectively, diversifying away about 70%-80% of unsystematic risk, the momentum factor is not among the important elements to explain unit trust performance in Malaysia.

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Objective To evaluate outcome and client and referrer satisfaction with the service provided by a Mood and Anxiety Disorders Unit (MADU).

Method MADU was a specialized clinical service for the assessment and management of individuals suffering with affective and anxiety disorders. Clients were referred to MADU from a variety of health service providers. A telephone survey of 30 clients and 20 referrers who have used the services of MADU was conducted, investigating outcome satisfaction with the service provided by MADU.

Results Clients and referrers reported a high level of satisfaction with the service provided by MADU. There was a high degree of adherence to treatment recommendations. The mean Patient Global Impression of Improvement (PGI) rating by the clients before the MADU assessment was 2.74 (SD = 1.27). In comparison the mean PGI rating at the time of follow-up was 6.64 (SD = 1.91).

Conclusions Specialist mood disorders units are a useful and potentially cost-effective additional service included as a part of a mental health service.

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The sperm cells of Rhododendron laetum and R. macgregoriae differentiate within the pollen tube about 24 h after germination in vitro. Threedimensional reconstruction shows that the sperm cells are paired together, and both have extensions that link with the tube nucleus, forming a male germ unit. Quantitative analysis shows that the sperm cells in each pair differ significantly in surface area, but not in cell volume nor in numbers of mitochondria or plastids. When isolated from pollen tubes by osmotic shock, the sperm cells became ellipsoidal and surrounded by their own plasma membrane, while a proportion remained in pairs linked by the inner tube plasma membrane. Both generative and sperm cells are visualized in pollen tube preparations by immunofluorescence with anti-tubulin and anti-actin monoclonal antibodies (MAbs) combined with H33258 fluorescence of the nuclei. Video-image processing shows the presence of an axial microtubule cage in the generative cells, and some microtubules are present in the cytoplasmic extensions that clasp the tube nucleus. Following sperm cell division, the extensive phragmoplast between the sperm nuclei is partitioned by the plasma membranes.

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Background: There are few validated measures of organizational context and none that we located are parsimonious and address modifiable characteristics of context. The Alberta Context Tool (ACT) was developed to meet this need. The instrument assesses 8 dimensions of context, which comprise 10 concepts. The purpose of this paper is to report evidence to further the validity argument for ACT. The specific objectives of this paper are to: (1) examine the extent to which the 10 ACT concepts discriminate between patient care units and (2) identify variables that significantly contribute to between-unit variation for each of the 10 concepts.

Methods: 859 professional nurses (844 valid responses) working in medical, surgical and critical care units of 8 Canadian pediatric hospitals completed the ACT. A random intercept, fixed effects hierarchical linear modeling (HLM) strategy was used to quantify and explain variance in the 10 ACT concepts to establish the ACT’s ability to discriminate between units. We ran 40 models (a series of 4 models for each of the 10 concepts) in which we systematically assessed the unique contribution (i.e., error variance reduction) of different variables to between-unit variation. First, we constructed a null model in which we quantified the variance overall, in each of the concepts. Then we controlled for the contribution of individual level variables (Model 1). In Model 2, we assessed the contribution of practice specialty (medical, surgical, critical care) to variation since it was central to construction of the sampling frame for the study. Finally, we assessed the contribution of additional unit level variables (Model 3).

Results: The null model (unadjusted baseline HLM model) established that there was significant variation between units in each of the 10 ACT concepts (i.e., discrimination between units). When we controlled for individual characteristics, significant variation in the 10 concepts remained. Assessment of the contribution of specialty to between-unit variation enabled us to explain more variance (1.19% to 16.73%) in 6 of the 10 ACT concepts. Finally, when we assessed the unique contribution of the unit level variables available to us, we were able to explain additional variance (15.91% to 73.25%) in 7 of the 10 ACT concepts.

Conclusion: The findings reported here represent the third published argument for validity of the ACT and adds to the evidence supporting its use to discriminate patient care units by all 10 contextual factors. We found evidence of relationships between a variety of individual and unit-level variables that explained much of this between-unit variation for each of the 10 ACT concepts. Future research will include examination of the relationships between the ACT’s contextual factors and research utilization by nurses and ultimately the relationships between context, research utilization, and outcomes for patients.

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This paper describes an architecture and construction management unit which implements Mediawiki in teaching and learning. The main objective of using the Mediawiki is to engage students to work collaboratively online in a group assignment. It also aims to further develop student information technology skills and thus enhance their learning experience. One of the learning objectives of the unit is to develop the ability to communicate the results of student research in construction technology using appropriate digital media from which Mediawiki was chosen. This paper outlines the challenges and issues faced in the implementation of Mediawiki as a collaborative tool in a group assignment of an architecture and construction management unit. It also discusses how academic staff and students were supported through the process of learning to use the Mediawiki. Finally, potential future directions of using Mediawiki in teaching and learning are explored based on students’ comments and feedback.