informatics chapter 26: nursing research

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deb1316
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234025
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informatics chapter 26: nursing research
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2013-09-16 13:42:25
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informatics chapter 26 nursing research
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informatics chapter 26: nursing research
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  1. Describe information literacy
    • information literacy is an intellectual framework for finding, understanding, evaluating, and using information activities
    • accomplished in part thru fluency with information technology and sound investigative methods, but most importantly thru critical reasoning and discernment
    • Association of college and research libraries suggests that information literacy initiates, sustains, and extends lifelong learning thru abilities which may use technologies but are ultimately independent of them 
    • since NI combines all aspects of clinical practice, research, administration, and education, ability to recognize the need for a specific kind of info and locate, evaluate, and effectively use it within the nursing informatics paradigm will catapult nurses ahead of other healthcare professionals in applying and engaging various facets of technology
    • since so few nurses have formal training in technology, but still represent a disproportionate number of users, the ways in which nursing research integrates healthcare technology within NI creates unseen challenge
    • potentially enormous impact on future of healthcare and technology will determine the success of information-literate nurses: those who have learned how to learn and who understand the intricacies of how knowledge is organized, recognized, and used in such a way that others can learn from them
  2. Describe the online databases of CINAHL and Medline
    • CINAHL: cumulative index to nursing and allied health literature 
    • specifically includes information from all aspects of allied health, nursing, alternative medicine, and community medicine
    • Medline: contains more than 10 million records, maintained and produced by the National Library of Medicine
  3. Describe the 2 main tools for processing data and data analysis
    • Quantitative data analysis and qualitative data analysis
    • Quantitative data analysis: focuses on numbers and frequencies rather than experiences and meaning
    • has come under criticism
    • psychologists prefer to use a combo of quantitative and qualitative data, backing up research participants
    •  explanations with statistically reliable information obtained by numerical measurement 
    • Qualitative data analysis
    • can include any information that can be captured and is not numerical 
    • more concerned with describing meaning than in drawing statistical inferences

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