Objective: To evaluate the knowledge and practices of nursing staff at the orthopedic wards relative to
nursing care presented to patients with femur fractures.
MethodologyThe sample consisted of (50) staff nurses was selected out of orthopedic wards of five
teaching hospital in Baghdad city for duration 15th Nivember 2001-15th of January 2002.
For the purpose of data collection, two instruments were constructed. First, observational
checklist for the practices measurements and second, knowledge test for the evaluation of the nurse
knowledge. Such construction was employed through literature review and validity expert’s responses.
Data were analyzed through the application of descriptive data analysis (frequency, percentage, standard
deviation, mean of scores and the inferential data analysis (Pearson correlation coefficient, one-way
analysis of variance, t-test and LSD).
Results The findings indicated that there was no significant between nurses knowledge and their nursing
care, years of employment, years of experience and training courses, but, there was significant
relationship between their knowledge and education only. The study concluded that there was no
significant relationship between the nurses practices and their years of employment, education, and
training courses, but, significant relationship was found between their practices and years of experience.
Recommendations :The study recommended that the numbers of staff nurses should be increased,
education and training programs for the nurses should be evaluated and periodic evaluation measures for
these nurses should be constructed
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... Show MoreTwitter data analysis is an emerging field of research that utilizes data collected from Twitter to address many issues such as disaster response, sentiment analysis, and demographic studies. The success of data analysis relies on collecting accurate and representative data of the studied group or phenomena to get the best results. Various twitter analysis applications rely on collecting the locations of the users sending the tweets, but this information is not always available. There are several attempts at estimating location based aspects of a tweet. However, there is a lack of attempts on investigating the data collection methods that are focused on location. In this paper, we investigate the two methods for obtaining location-based dat
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