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Sökning: L773:1536 5026 OR L773:1943 4685

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1.
  • Grankvist, Gunne, 1963-, et al. (författare)
  • Illness perception of nursing students regarding MYOCARDIAL INFARCTION
  • 2009
  • Ingår i: Nursing Education Perspectives. - 1536-5026 .- 1943-4685. ; 30:4, s. 234-238
  • Tidskriftsartikel (refereegranskat)abstract
    • Health Interventions aimed at secondary prevention of myocardial infarction (MI) are important. Patients' illness perceptions influence adherence behaviors and actions. Providing adequate information about the disease and lifestyle interventions is an important task for health care professionals. Therefore, a question of interest is how health care professionals perceive myocardial infarction themselves. The aim with the present study was to investigate how nursing students at a Swedish university perceived Ml and to determine whether their illness perceptions changed during their six-term program of education. Illness perception was measured using the Revised Illness Perception Questionnaire (IPQ-R) in a sample of 196 students enrolled in terms 2, 4, and 6 of the nursing program. A quasi-experimental design was used. Illness perceptions among nursing students were also compared to illness perceptions in a group of patients with coronary heart disease. The belief that it is possible to control Ml through medical treatment became stronger during the course of nursing education. Nursing students were found to view the consequences of Ml as serious, but also as medically treatable and responsive to lifestyle changes.
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2.
  • Dahlborg Lyckhage, Elisabeth, 1956-, et al. (författare)
  • Changing essay writing in undergraduate nursing education through action research: a Swedish example
  • 2013
  • Ingår i: Nursing Education Perspectives. - : Ovid Technologies (Wolters Kluwer Health). - 1536-5026 .- 1943-4685. ; 34:4, s. 226-232
  • Tidskriftsartikel (refereegranskat)abstract
    • This article describes the development of literature-based models for bachelor degree essays in Swedish undergraduate nursing education. Students' experiences in a course with literature-based models for bachelor degree essays are discussed. The ever-growing body of nursing research and specialized and complex health care practices make great demands on nursing education in terms of preparing students to be both skilled practitioners and users of research. Teaching to help students understand evidence-based practice is a challenge for nursing education. Action research was used to generate knowledge of and practical solutions to problems in everyday locations. Six models were developed: concept analysis, contributing to evidence-based nursing by means of quantitative research, contributing to evidence-based nursing by means of qualitative research, discourse analysis, analysis of narratives, and literature review. Action research was found to be a relevant procedure for changing ways of working with literature-based, bachelor degree essays. The models that were developed increased students' confidence in writing essays and preparedness for the nursing role.
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3.
  • Gaber, Mohamed Medhat, et al. (författare)
  • Mining data streams : a review
  • 2005
  • Ingår i: SIGMOD record. - : Association for Computing Machinery (ACM). - 0163-5808 .- 1943-5835. ; 34:2, s. 18-26
  • Tidskriftsartikel (refereegranskat)abstract
    • The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously and in a very high fluctuating data rates. Examples include sensor networks, web logs, and computer network traffic. The storage, querying and mining of such data sets are highly computationally challenging tasks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. The research in data stream mining has gained a high attraction due to the importance of its applications and the increasing generation of streaming information. Applications of data stream analysis can vary from critical scientific and astronomical applications to important business and financial ones. Algorithms, systems and frameworks that address streaming challenges have been developed over the past three years. In this review paper, we present the state-of-the-art in this growing vital field.
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