Journal of professional nursing : official journal of the American Association of Colleges of Nursing
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The phenomenon of cross-cultural collaboration is not new. What is lacking in the literature, however, is a discussion of how health professionals from various cultures, collaborating together, have addressed their patients' health care needs to improve their quality of life. Because of increased interest in global health issues, it seems logical that health professionals from various countries form collaborative partnerships to investigate and address these health issues. ⋯ Harris and R. T. Moran (1996), this article describes how the investigators established a successful cross-cultural collaboration for conducting health research between teams in the United States and Russia.
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The World Wide Web, a rich educational resource that can promote and enhance student learning, is increasingly being used in nursing programs to deliver course content. When implementing Web-based instruction into the curriculum, it is essential to consider carefully the implications for faculty and student development needs so that the technology can be efficiently and effectively used to support student learning. Teaching a Web-based course is a new experience for many faculty and requires a reconceptualization of the faculty role. ⋯ Students, especially those who have a preference for faculty-directed classroom learning, also will find student role challenges in Web-based learning. Time and technology management skills, student-faculty interactions, and becoming more self-directed in their learning are student role development needs. This article describes the strategies used by one school of nursing to meet faculty and student development needs when the RN-BSN completion program was redesigned for Web-based instruction.
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Clinical Trial Controlled Clinical Trial
A collaborative research utilization approach to evaluate the effects of pain management standards on patient outcomes.
The generation of research-based knowledge is incomplete unless it reaches clinicians at the point of care. Despite major advances in clinical research related to pain management, inadequate pain relief has become a significant quality issue in hospitalized patients, which has created an imperative for research-based pain management. Using a collaborative research utilization model, multidisciplinary academic scientists were paired with clinicians and undergraduate and graduate students to form a partnership that (1) examined the research base in pain management, (2) generated a research-based standard for pain management, and (3) evaluated the effect of that standard on four patient outcome variables in a 230-bed teaching hospital. ⋯ Interestingly, each of these improvements decreased after their discharge home. These results strongly suggest the need for better postdischarge preparation for pain management and for further development and testing of pain management standards in postdischarge settings. They also provide the basis for extending the model to address other situations in which there is a lag between the promising results of empirical research and their integration into practice.
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Multicenter Study Comparative Study
Decision making of psychiatric nurses in Finland, Northern Ireland, and the United States.
The purpose of this study was to describe the decision-making process of 339 psychiatric nurses in Finland, Northern Ireland, and the United States and to discuss any differences observed among nurses in these countries. The instrument used in the study was a 56-item, Likert-type questionnaire tested in several previous studies that have confirmed its validity and reliability. ⋯ Overall, it may be concluded that the decision-making process of psychiatric nurses is broadly based, but it varies between countries. Nurses from Northern Ireland used only analytical decision-making models; nurses from Finland made decisions strongly favored analytical decision-making models but also used some intuitive models; and American nurses used intuitive decision-making and analytical-processing models.