3 resultados para collaborate

em Digital Commons @ DU | University of Denver Research


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A librarian from the Florida Gulf Coast University (FGCU) and the Library Communications Manager at Taylor & Francis Group partnered to launch a collaborative information literacy pilot program focusing on assisting FGCU students and faculty navigate and understand the scholarly publishing process. This article describes how the idea was created, as well as steps involved in developing the publishing toolkit to help FGCU patrons. An overview of the pilot program was presented during the 2015 Charleston Conference as a poster session.

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Current research on the collaborative behaviors of conventional and alternative health care providers for the treatment of anxiety is lacking. While there are multiple studies looking at alternative health care integration into primary care, none of them look at anxiety specifically. The purpose of this paper is to provide a preliminary exploration of possible barriers to collaboration between conventional and alternative health care providers for the treatment of anxiety. Quantitative data on collaboration behavior patterns were obtained with an anonymous survey. Data from the surveys were analyzed using a chi-square analysis. Along with these numerical data narrative data from the survey and interviews were collected in order to assess beliefs about the barriers to collaboration from different health care providers. The results indicate that conventional providers collaborate the least with alternative providers and alternative providers collaborate the least with conventional providers. The descriptive results regarding the barriers to collaboration from the study illustrated a common theme, specifically, the lack of education of conventional providers on alternative health care practices on anxiety. This is an exploratory study: therefore it would be beneficial for future researchers to look deeper into the beliefs of health care providers on the barriers to collaboration, possibly identifying the specific barriers to collaboration for each type of healthcare provider.

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The EPA promulgated the Exceptional Events Rule codifying guidance regarding exclusion of monitoring data from compliance decisions due to uncontrollable natural or exceptional events. This capstone examines documentation systems utilized by agencies requesting data be excluded from compliance decisions due to exceptional events. A screening tool is developed to determine whether an event would meet exceptional event criteria. New data sources are available to enhance analysis but evaluation shows many are unusable in their current form. The EPA and States must collaborate to develop consistent evaluation methodologies documenting exceptional events to improve the efficiency and effectiveness of the new rule. To utilize newer sophisticated data, consistent, user-friendly translation systems must be developed.