nr_505 wk7 hypothermia_hollingsworth.edited-2.docx

nr_505 wk7 hypothermia_hollingsworth.edited-2.docx - DATA...

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DATA COLLECTION 1 Data Collection, Analysis, Evaluation, Dissemination of Results, and Conclusion Eva Hollingsworth Chamberlain College of Nursing NR 505: Advanced Research April 2019
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DATA COLLECTIO N 2 Data Collection, Analysis, Evaluation, Dissemination of Results, and Conclusion Quantitative research consists of utilizing methods from different opportunities to achieve outcomes by using one or more practices such as surveys, questionnaires, face to face or phone interviews and focus group (Flanagan, Greenfield, Coad, & Neilson, 2015). Data collection is the process of gathering data from a study to make an informed decision, and during this process, the information needs to be kept reliable and truthful at all times. Also, the data must be safeguarded at all times to guarantee confidentiality. This paper will discuss data collection, analysis of the data, evaluation, dissemination of results and finally, a conclusion brings the paper together. Data Collection In patients ages, 25-75 with cardiac arrest, does inducing hypothermia compared to not inducing hypothermia increase neurological outcomes over six weeks? Data collection will be done through a formed that will be filled out during the critical care process of taken care of a hypothermia patient. On the form will be the time of ROSC was achieved, the time hypothermia was started, what temperature the patient was cooled to, what time did the patient reach hypothermia temperature and what time did hypothermia end. That will then be compared to patients that are between the ages of 25-75 that had cardiac arrest but did not receive hypothermia. The database search engine that was used to find articles were EBSCO, CINAHL PubMed, and Cochrane library. The keywords that were used in the search engines were hypothermia, hypothermia benefits, the benefits of not doing hypothermia and the neurological effects of doing hypothermia.
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DATA COLLECTION 3 Analysis Data analysis is achieved by reviewing all data collected for the research study. Descriptive statistics are used to summarize data numerically. According to Pickering, (2017) descriptive statistics appear as a graphic that displays information that is used to show detail emerged from the research results such as a bell curves or reasonable distribution of statics and the number of participants. For example, if there are two hundred patients that come in with cardiac arrest but some of them are ninety years old, some are prisoners, others are pregnant, some are between the ages of 25-75 and some are under the age of twenty-five. The patients that
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