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Research Proposal Example

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The justification for selecting this sample size is founded on the fact that the objective of generalizability determines the sample size. The sample…
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Research proposal
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Download file to see previous pages... Critically ill adults in 8 intensive care units will be enrolled within 24 hrs of intubation in the research with 2 x 2 factorial design. The 2 x 2 factorial design implies that the patients will be divided into two equal groups each comprising of 250 participants. The control group is subjected to tooth brushing technique and the other group antiseptic agent (Chlorhexidine). This number of patients will satisfy the ratio of 30 individuals per variable. Patients excluded from the research are those with a clinical diagnosis of pneumonia at the time of intubation (Munro, Grap, Jones, McClish & Sessler, 2009). The development of VAP will be determined through the use of CPIS (Clinical Pulmonary Infection Score). The rationale for setting this location is to obtain reliable information about prevention of VAP in critically ill adults in the ICU environment.
The sampling strategy in this research proposal is probability sampling and in specific the technique employed is the criterion. Probability sampling is the most valid strategy to attain statistical generalization (Gerrish & Lathlean, 2015). Criterion sampling is carried out on the basis of one or more standards for selection. For instance, in this case, the focus is on the use of a toothbrush and antiseptic agent (Chlorhexidine) on critically ill patients in the ICU. Moreover, this strategy will assist to choose participants that are capable of giving results of this research on aspects of prevention of VAP in ICU using oral care hygiene that is poorly understood (Boswell & Cannon, 2014).
The research design for this proposal is a parallel trial design. In a research using this design, the parallel groups’ investigations are not limited to a specified period, but rather until either of the treatment group exhibits a clear benefit. These experiments last until the time one treatment is more effective than the other (Gallin & Ognibene, 2012). In this case, the design will investigate the ...Download file to see next pagesRead More
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