706 resultados para workforce models


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Background The purpose of this study was to explore the workplace acceptance and experiences of lesbian, gay, bisexual, transgender, intersex and queer (LGBTIQ) paramedics. Methods A systematic search of academic databases and reference lists from selected papers were the sources of the data. Inclusion criteria were research papers published in English, which focused on workplace acceptance and experiences of LGBTIQ health personnel. Results The initial focus of this systematic review was the workplace acceptance and experiences of LGBTIQ paramedics. However due to no published research specific to the paramedic profession the scope of the review was broadened to include of all LGBTIQ health personnel. Thirty-three papers were included in this review. Evidence indicated that LGBTIQ health professionals experienced discrimination from their patients, heterosexual colleagues and ‘closeted’ LGBTIQ peers. Positive contribution of LGBTIQ health professionals include improved patient care and role models for LGBTIQ peers. Inclusive policy is required for LGBTIQ health professional workforce retention. Conclusions The paramedic workforce is known to be a high risk occupational group for post-traumatic stress disorder and depression. Theoretically, LGBTIQ paramedics working in a heteronormative culture experience increased level of stress. While LGBTIQ health professionals receive legislative protection against discrimination, discrimination still exists in practice through lack of visibility. Effective and efficient integration of LGBTIQ health professionals could improve workplace satisfaction, workforce retention, and equity of access by marginalised groups. An inclusive workplace policy of LGBTIQ embraces and celebrates the value of diversity.

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In this paper we consider the third-moment structure of a class of time series models. It is often argued that the marginal distribution of financial time series such as returns is skewed. Therefore it is of importance to know what properties a model should possess if it is to accommodate unconditional skewness. We consider modeling the unconditional mean and variance using models that respond nonlinearly or asymmetrically to shocks. We investigate the implications of these models on the third-moment structure of the marginal distribution as well as conditions under which the unconditional distribution exhibits skewness and nonzero third-order autocovariance structure. In this respect, an asymmetric or nonlinear specification of the conditional mean is found to be of greater importance than the properties of the conditional variance. Several examples are discussed and, whenever possible, explicit analytical expressions provided for all third-order moments and cross-moments. Finally, we introduce a new tool, the shock impact curve, for investigating the impact of shocks on the conditional mean squared error of return series.

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Public-Private Partnerships (PPP) are established globally as an important mode of procurement and the features of PPP, not least of which the transfer of risk, appeal to governments and particularly in the current economic climate. There are many other advantages of PPP that are claimed as outweighing the costs of PPP and affording Value for Money (VfM) relative to traditionally financed projects or non-PPP. That said, it is the case that we lack comparative whole-life empirical studies of VfM in PPP and non-PPP. Whilst we await this kind of study, the pace and trajectory of PPP seem set to continue and so in the meantime, the virtues of seeking to improve PPP appear incontrovertible. The decision about which projects, or parts of projects, to offer to the market as a PPP and the decision concerning the allocation or sharing risks as part of engagement of the PPP consortium are among the most fundamental decisions that determine whether PPP deliver VfM. The focus in the paper is on latter decision concerning governments’ attitudes towards risk and more specifically, the effect of this decision on the nature of the emergent PPP consortium, or PPP model, including its economic behavior and outcomes. This paper presents an exploration into the extent to which the seemingly incompatible alternatives of risk allocation and risk sharing, represented by the orthodox/conventional PPP model and the heterodox/alliance PPP model respectively, can be reconciled along with suggestions for new research directions to inform this reconciliation. In so doing, an important step is taken towards charting a path by which governments can harness the relative strengths of both kinds of PPP model.

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This paper studies the problem of selecting users in an online social network for targeted advertising so as to maximize the adoption of a given product. In previous work, two families of models have been considered to address this problem: direct targeting and network-based targeting. The former approach targets users with the highest propensity to adopt the product, while the latter approach targets users with the highest influence potential – that is users whose adoption is most likely to be followed by subsequent adoptions by peers. This paper proposes a hybrid approach that combines a notion of propensity and a notion of influence into a single utility function. We show that targeting a fixed number of high-utility users results in more adoptions than targeting either highly influential users or users with high propensity.

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Changing the topology of a railway network can greatly affect its capacity. Railway networks however can be altered in a multitude of different ways. As each way has significant immediate and long term financial ramifications, it is a difficult task to decide how and where to expand the network. In response some railway capacity expansion models (RCEM) have been developed to help capacity planning activities, and to remove physical bottlenecks in the current railway system. The exact purpose of these models is to decide given a fixed budget, where track duplications and track sub divisions should be made, in order to increase theoretical capacity most. These models are high level and strategic, and this is why increases to the theoretical capacity is concentrated upon. The optimization models have been applied to a case study to demonstrate their application and their worth. The case study evidently shows how automated approaches of this nature could be a formidable alternative to current manual planning techniques and simulation. If the exact effect of track duplications and sub-divisions can be sufficiently approximated, this approach will be very applicable.

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Introduction Systematic review authors are increasingly directing their attention to not only ensuring the robust processes and methods of their syntheses, but also to facilitating the use of their reviews by public health decision-makers and practitioners. This latter activity is known by several terms including knowledge translation, for which one definition is a ‘dynamic and iterative process that includes synthesis, exchange and ethically sound application of knowledge’.1 Unfortunately—and despite good intentions—the successful translation of knowledge has at times been inhibited by the failure of reviews to meet the needs of decision-makers, and the limitations of the traditional avenues by which reviews are disseminated.2 Encouraging the utilization of reviews by the public health workforce is a complex challenge. An unsupportive culture within the workforce, a lack of experience in assessing evidence, the use of traditional academic language in communication and the lack of actionable messages can all act as barriers to successful knowledge translation.3 Improving communication through developing strategies that include summaries, podcasts, webinars and translational tools which target key decision-makers such as HealthEvidence.org should be considered by authors as promising actions to support the uptake of reviews into practice.4,5 Earlier work has also suggested that to better meet the research evidence needs of public health professionals, authors should aim to produce syntheses that are actionable, relevant and timely.2 Further, review authors must interact more with those who will, or could use their reviews; particularly when determining the scope and questions to which a review will be directed.2 Unfortunately, individual engagement, ideal for examining complex issues and addressing particular concerns, is often difficult, particularly when attempting to reach large groups where for efficiency purposes, the strategy tends to be didactic, ‘lecturing’ and therefore less likely to change attitudes or encourage higher order thinking.6 …

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Diffusive transport is a universal phenomenon, throughout both biological and physical sciences, and models of diffusion are routinely used to interrogate diffusion-driven processes. However, most models neglect to take into account the role of volume exclusion, which can significantly alter diffusive transport, particularly within biological systems where the diffusing particles might occupy a significant fraction of the available space. In this work we use a random walk approach to provide a means to reconcile models that incorporate crowding effects on different spatial scales. Our work demonstrates that coarse-grained models incorporating simplified descriptions of excluded volume can be used in many circumstances, but that care must be taken in pushing the coarse-graining process too far.

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Background Australian workforce planning predicts a shortfall of nurses by 2025 with rural areas being most at risk. Rural areas have lower retention rates of nurses than metropolitan areas, with remote communities experiencing an even higher turnover of nursing staff. There have been few studies that examine the impact of nurse resignations on rural nursing workforces. Objective This paper is abstracted from a larger study into the reasons why nurses resign from rural hospitals and explores the resignation period. Design A qualitative study using grounded theory methods. Following in-depth interviewing and transcription, data analysis occurred with the assistance of NVivo software. Setting Rural NSW. Participants Twelve registered nurses who had resigned from rural NSW hospitals and not for reasons of retirement, maternity leave or relocation; two participants were re-interviewed. Results While the overall study identified a grounded theory which explained rural nurses resign from hospitals due to a conflict of values, three additional themes emerged about the resignation practices at rural hospitals. The first theme identified a ‘window period’ which was an opportunity for the nurse to be retained. The second theme identified that nurses who had resigned were not involved in formal exit processes such as exit interviews. The third theme captured the flow-on effect from rural nurse resignations resulting in nurses leaving the profession of nursing. Conclusion To facilitate nurse retention, it is important that rural hospitals manage nurse resignations more effectively. This includes re-examining resignation procedures, how nurses are treated and collecting meaningful data to inform retention strategies.

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The influence of professional identity and self-interest on the educational and career choices of the emerging Information and Communications Technology (ICT) workforce is considered in this thesis. Interviews were conducted with 52 ICT students from four Australian tertiary education institutions and the findings indicated that professional identity and self-interest should be considered together, rather than separately, to understand career decisions in relation to the ICT industry. Professional identity is associated with the accrual of symbolic resources including status and esteem, mastery, sense of belonging and attachment. By contrast, self-interest is associated with the perceived likelihood of the accrual of material (economic and social) resources.

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Objectives To review models of care for older adults with cancer, with a focus on the role of the oncology nurse in geriatric oncology care. International exemplars of geriatric oncology nursing care are discussed. Data source Published peer reviewed literature, web-based resources, professional society materials, and the authors' experience. Conclusion Nursing care for older patients with cancer is complex and requires integrating knowledge from multiple disciplines that blends the sciences of geriatrics, oncology, and nursing. and which recognizes the dimensions of quality of life. Implications for Nursing Practice: Oncology nurses can benefit from learning key skills of comprehensive geriatric screening and assessment to improve the care they provide for older adults with cancer.

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Sustainable implementation of new workforce redesign initiatives requires strategies that minimize barriers and optimize supports. Such strategies could be provided by a set of guiding principles. A broad understanding of the concerns of all the key stakeholder groups is required before effective strategies and initiatives are developed. Many new workforce redesign initiatives are not underpinned by prior planning, and this threatens their uptake and sustainability. This study reports on a cross-sectional qualitative study that sought the perspectives of representatives of key stakeholders in a new workforce redesign initiative (extended-scope-of-practice physiotherapy) in one Australian tertiary hospital. The key stakeholder groups were those that had been involved in some way in the development, management, training, funding, and/or delivery of the initiative. Data were collected using semistructured questions, answered individually by interview or in writing. Responses were themed collaboratively, using descriptive analysis. Key identified themes comprised: the importance of service marketing; proactively addressing barriers; using readily understood nomenclature; demonstrating service quality and safety, monitoring adverse events, measuring health and cost outcomes; legislative issues; registration; promoting viable career pathways; developing, accrediting, and delivering a curriculum supporting physiotherapists to work outside of the usual scope; and progression from "a good idea" to established service. Health care facilities planning to implement new workforce initiatives that extend scope of usual practice should consider these issues before instigating workforce/model of care changes. © 2014 Morris et al.

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Role models incite admiration and provide inspiration, contributing to learning as students aspire to emulate their example. The attributes of physician role models for medical trainees are well documented, but they remain largely unexplored in the context of veterinary medical training. The aim of the current study was to describe the attributes that final-year veterinary students (N=213) at the University of Queensland identified when reflecting on their clinical role models. Clinical role model descriptions provided by students were analyzed using concept-mapping software (Leximancer v. 2.25). The most frequent and highly connected concepts used by students when describing their role model(s) included clients, vet, and animal. Role models were described as good communicators who were skilled at managing relationships with clients, patients, and staff. They had exemplary knowledge, skills, and abilities, and they were methodical and conducted well-structured consultations. They were well respected and, in turn, demonstrated respect for clients, colleagues, staff, and students alike. They were also good teachers and able to tailor explanations to suit both clients and students. Findings from this study may serve to assist with faculty development and as a basis for further research in this area.

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The quality of species distribution models (SDMs) relies to a large degree on the quality of the input data, from bioclimatic indices to environmental and habitat descriptors (Austin, 2002). Recent reviews of SDM techniques, have sought to optimize predictive performance e.g. Elith et al., 2006. In general SDMs employ one of three approaches to variable selection. The simplest approach relies on the expert to select the variables, as in environmental niche models Nix, 1986 or a generalized linear model without variable selection (Miller and Franklin, 2002). A second approach explicitly incorporates variable selection into model fitting, which allows examination of particular combinations of variables. Examples include generalized linear or additive models with variable selection (Hastie et al. 2002); or classification trees with complexity or model based pruning (Breiman et al., 1984, Zeileis, 2008). A third approach uses model averaging, to summarize the overall contribution of a variable, without considering particular combinations. Examples include neural networks, boosted or bagged regression trees and Maximum Entropy as compared in Elith et al. 2006. Typically, users of SDMs will either consider a small number of variable sets, via the first approach, or else supply all of the candidate variables (often numbering more than a hundred) to the second or third approaches. Bayesian SDMs exist, with several methods for eliciting and encoding priors on model parameters (see review in Low Choy et al. 2010). However few methods have been published for informative variable selection; one example is Bayesian trees (O’Leary 2008). Here we report an elicitation protocol that helps makes explicit a priori expert judgements on the quality of candidate variables. This protocol can be flexibly applied to any of the three approaches to variable selection, described above, Bayesian or otherwise. We demonstrate how this information can be obtained then used to guide variable selection in classical or machine learning SDMs, or to define priors within Bayesian SDMs.

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This project investigated the calcium distributions of the skin, and the growth patterns of skin substitutes grown in the laboratory, using mathematical models. The research found that the calcium distribution in the upper layer of the skin is controlled by three different mechanisms, not one as previously thought. The research also suggests that tight junctions, which are adhesions between neighbouring skin cells, cannot be solely responsible for the differences in the growth patterns of skin substitutes and normal skin.

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This paper conceptualizes a framework for bridging the BIM (building information modelling)-specifications divide through augmenting objects within BIM with specification parameters derived from a product library. We demonstrate how model information, enriched with data at various LODs (levels of development), can evolve simultaneously with design and construction using different representation of a window object embedded in a wall as lifecycle phase exemplars at different levels of granularity. The conceptual standpoint is informed by the need for exploring a methodological approach which extends beyond current limitations of current modelling platforms in enhancing the information content of BIM models. Therefore, this work demonstrates that BIM objects can be augmented with construction specification parameters leveraging product libraries.