808 resultados para Access to market
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This article argues that the concept of a public/private divide is inappropriate in the context of children's proceedings in Northern Ireland. It highlights the problem by examining policy proposals in respect of legal aid/services, which have been structured and validated by the concept. A spectral model for understanding children's proceedings is proffered by way of a proposed replacement.
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The aim of this paper is to explore the role and activities of nurse practitioners (NPs) working in long-term care (LTC) to understand concepts of access to primary care for residents. Utilizing the "FIT" framework developed by Penchanksy and Thomas, we used a directed content analysis method to analyze data from a pan-Canadian study of NPs in LTC. Individual and focus group interviews were conducted at four sites in western, central and eastern regions of Canada with 143 participants, including NPs, RNs, regulated and unregulated nursing staff, allied health professionals, physicians, administrators and directors and residents and family members. Participants emphasized how the availability and accessibility of the NP had an impact on access to primary and urgent care for residents. Understanding more about how NPs affect access in Canadian LTC will be valuable for nursing practice and healthcare planning and policy and may assist other countries in planning for the introduction of NPs in LTC settings to increase access to primary care.
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The purpose of the study examined in this article was to understand how non-physician health care professionals working in Canadian primary health care settings facilitate older persons’ access to community support services (CSSs). The use of CSSs has positive impacts for clients, yet they are underused from lack of awareness. Using a qualitative description approach, we interviewed 20 health care professionals from various disciplines and primary health care models about the processes they use to link older patients to CSSs. Participants collaborated extensively with interprofessional colleagues within and outside their organizations to fi nd relevant CSSs. They actively engaged patients and families in making these linkages and ensured follow-up. It was troubling to fi nd that they relied on out-of-date resources and ineffi cient search strategies to fi nd CSSs. Our fi ndings can be used to develop resources and approaches to better support primary health care providers in linking older adults to relevant CSSs.
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This chapter considers the policy and practice of partnership working amongst educational organisations and related service providers as a means of promoting social inclusion in higher education (HE). It draws on an empirical study of partnership working in an area of England which has low levels of participation in HE, consistently performs poorly in national measures of educational achievement, and contains pockets of severe economic and social deprivation. The empirical research focuses on the work of senior managers from seventeen organisations who formed a sub-regional partnership as a strategy to raise aspirations, widen participation in HE and promote social inclusion.
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Thesis (Master's)--University of Washington, 2016-06
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Abstract not available
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Presentation from the MARAC conference in Pittsburgh, PA on April 14–16, 2016. S13 - Student Poster Session; Analysis of Federal Policy on Public Access to Scientific Research Data
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Discusses the approach taken in Phase 1 of a three-phase project Folktales, Facets and FRBR [funded by a grant from OCLC/ALISE]. This project works with the special collection of folktales at the Center for Children’s Books (CCB) at the University of Illinois at Urbana-Champaign, and the scholars who use this collection. The project aims to enhance the effectiveness and efficiency of folktale access through deep understanding of user needs. Phase 1 included facet analysis of the bibliographic records for a sample of 100 folktale books in the CCB, and task analysis of interviews with four CCB-affiliated faculty. Describes the information tasks, information seeking obstacles, and desired features for a discovery and access tool related to folktales for this initial group of scholarly users of folktales.
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Abstract : Rare diseases are debilitating conditions often leading to severe clinical manifestations for affected patients. Orphan drugs have been developed to treat these rare diseases affecting a small number of individuals. Incentives in the legal framework aimed to recoup the research and development cost of orphan drugs for pharmaceutical companies have been implemented in the United States and the European Union. At the present time, Canada is still lacking a legal and policy framework for orphan drugs. Several problems at the federal and provincial levels remain: lack of research funds for rare diseases, discrepancies on orphan drug policies between provinces, difficulties to access and reimburse these high price drugs. Recommendations and measures are proposed, such as a pan-Canadian (national) scientific committee to establish evidence-based guidelines for patients to access orphan drugs uniformly in all provinces with a disease specific registry, a formal agreement for a centralized Canadian public funding reimbursement procedure, and increasing the role of “guardian” for prices by the Patented Medicines Review Board in Canada. These recommendations and measures will be beneficial for the implementation of a policy framework for orphan drugs in Canada.
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This dissertation research points out major challenging problems with current Knowledge Organization (KO) systems, such as subject gateways or web directories: (1) the current systems use traditional knowledge organization systems based on controlled vocabulary which is not very well suited to web resources, and (2) information is organized by professionals not by users, which means it does not reflect intuitively and instantaneously expressed users’ current needs. In order to explore users’ needs, I examined social tags which are user-generated uncontrolled vocabulary. As investment in professionally-developed subject gateways and web directories diminishes (support for both BUBL and Intute, examined in this study, is being discontinued), understanding characteristics of social tagging becomes even more critical. Several researchers have discussed social tagging behavior and its usefulness for classification or retrieval; however, further research is needed to qualitatively and quantitatively investigate social tagging in order to verify its quality and benefit. This research particularly examined the indexing consistency of social tagging in comparison to professional indexing to examine the quality and efficacy of tagging. The data analysis was divided into three phases: analysis of indexing consistency, analysis of tagging effectiveness, and analysis of tag attributes. Most indexing consistency studies have been conducted with a small number of professional indexers, and they tended to exclude users. Furthermore, the studies mainly have focused on physical library collections. This dissertation research bridged these gaps by (1) extending the scope of resources to various web documents indexed by users and (2) employing the Information Retrieval (IR) Vector Space Model (VSM) - based indexing consistency method since it is suitable for dealing with a large number of indexers. As a second phase, an analysis of tagging effectiveness with tagging exhaustivity and tag specificity was conducted to ameliorate the drawbacks of consistency analysis based on only the quantitative measures of vocabulary matching. Finally, to investigate tagging pattern and behaviors, a content analysis on tag attributes was conducted based on the FRBR model. The findings revealed that there was greater consistency over all subjects among taggers compared to that for two groups of professionals. The analysis of tagging exhaustivity and tag specificity in relation to tagging effectiveness was conducted to ameliorate difficulties associated with limitations in the analysis of indexing consistency based on only the quantitative measures of vocabulary matching. Examination of exhaustivity and specificity of social tags provided insights into particular characteristics of tagging behavior and its variation across subjects. To further investigate the quality of tags, a Latent Semantic Analysis (LSA) was conducted to determine to what extent tags are conceptually related to professionals’ keywords and it was found that tags of higher specificity tended to have a higher semantic relatedness to professionals’ keywords. This leads to the conclusion that the term’s power as a differentiator is related to its semantic relatedness to documents. The findings on tag attributes identified the important bibliographic attributes of tags beyond describing subjects or topics of a document. The findings also showed that tags have essential attributes matching those defined in FRBR. Furthermore, in terms of specific subject areas, the findings originally identified that taggers exhibited different tagging behaviors representing distinctive features and tendencies on web documents characterizing digital heterogeneous media resources. These results have led to the conclusion that there should be an increased awareness of diverse user needs by subject in order to improve metadata in practical applications. This dissertation research is the first necessary step to utilize social tagging in digital information organization by verifying the quality and efficacy of social tagging. This dissertation research combined both quantitative (statistics) and qualitative (content analysis using FRBR) approaches to vocabulary analysis of tags which provided a more complete examination of the quality of tags. Through the detailed analysis of tag properties undertaken in this dissertation, we have a clearer understanding of the extent to which social tagging can be used to replace (and in some cases to improve upon) professional indexing.
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Presentation from the MARAC conference in Boston, MA on March 18-21, 2015. S. 24 - DIY Archives: Enhancing Access to Collections via Free, Open-Source Platforms