Communication in Nursing Practice Essay Example

Communication in Nursing Practice Essay Example Communication in Nursing Practice Essay Communication in Nursing Practice Essay In order to fully discuss effective communication in nursing practice, one first should define communication. As stated in the business directory, communication is â€Å" the two way process of reaching mutual understanding, in which participants not only exchange (encode – decode) information but create and share meaning. â€Å" (www. thebusinessdirectory. com : Nov 25th). Or as in the free dictionary, â€Å"The exchange of thoughts, messages or information by speech, signals, writing or behaviour. † (www. thefreedictionary. com : Nov 25th). As is portrayed in both of these definitions, communication can come in many different forms. Communication is not only verbal. To communicate effectively in the practical setting we must explore all types of communication and in this essay the author will try to demonstrate differing ways of communication, not only with patients but with colleagues, consultants and other persons that enter your domain. VERBAL COMMUNICATION. The majority of our communication is through the medium of speech therefore verbal communication underpins everything we do in everyday life. How we hone our techniques to achieve effective communication in the clinical setting is down to the individual and of course practice. Almost everyone can communicate but it’s the effectiveness of the communication that counts. Bad communication skills can wipe out any good verbal skills in a matter of seconds. How we talk to people needs to be understandable, concise, jargon free but mostly easy for the patient to interpret. We all have some communication skills to bring into practice with us and we can exchange skills whilst going about everyday hospital life. One doesn’t need to be a specialist AE nurse to be able to comfort a distressed relative. Initially, the ability to talk can be difficult and sometimes daunting but the more we practice the better we become. Verbal communication is not just about speech. The tone of voice and the choice of words are very important also. A harsh tone of voice in a sensitive situation would not be at all appropriate. Using technical jargon is also inadvisable. The patient needs to be able to fully understand what they are being told. The simpler the language the better.

5 Tips for Handling your Thesis Data Analysis - Proofed

5 Tips for Handling your Thesis Data Analysis - Proofed 5 Tips for Handling your Thesis Data Analysis When writing your thesis, the process of analyzing data and working with statistics can be pretty hard at first. This is true whether you’re using specialized data analysis software, like SPSS, or a more descriptive approach. But there are a few guidelines you can follow to make things simpler. 1. Choose the Best Analytical Method for Your Project The sheer variety of techniques available for data analysis can be confusing! If you are writing a thesis  on internet marketing, for instance, your approach to analysis will be very different to someone writing about biochemistry. As such it is important to adopt an approach appropriate to your research. 2. Double Check Your Methodology If you are working with quantitative data, it is important to make sure that your analytical techniques are compatible with the methods used to gather your data. Having a clear understanding of what you have done so far will ensure that you achieve accurate results. For instance, when performing statistical analysis, you may have to choose between parametric and non-parametric testing. If your data is sampled from a population with a broadly Gaussian (i.e., normal) distribution, you will almost always want to use some form of non-parametric testing. But if you can’t remember or aren’t sure how you selected your sample, you won’t necessarily know the best test to use! 3. Familiarize Yourself with Statistical Analysis and Analytical Software Thanks to various clever computer programs, you no longer have to be a math genius to conduct top-grade statistical analysis. Nevertheless, learning the basics will help you make informed choices when designing your research and prevent you from making basic mistakes. Likewise, trying out different software packages will allow you to pick the one best suited to your needs on your current project. 4. Present Your Data Clearly and Consistently This is possibly one of the most important parts of writing up your results. Even if your data and statistics are perfect, failure to present your analysis clearly will make it difficult for your reader to follow. Ask yourself how your analysis would look to someone unfamiliar with your project. If they would be able to understand your analysis, you’re on the right track! 5. Make It Relevant! Finally, remember that data analysis is about more than just presenting your data. You should also relate your analysis back to your research objectives, discussing its relevance and justifying your interpretations. This will ensure that your work is easy to follow and demonstrate your understanding of the methods used. So no matter what you are writing about, the analysis is a great time to show off how clever you are!