Summary Of The Capstone Project Proposal

Nursing research is extremely important for the nursing profession. A systematic process is used to address questions that arise in nursing care (Keele, 2011). Nursing research is not only used to define new knowledge but to refine nursing practice as well (Keele, 2011). “The purpose of nursing research is to provide empirical evidence to support nursing practice, which in turn ultimately affects the care we provide to our clients” (Keele, 2011, p. 1). This Capstone Project Proposal questions the enhancement of nursing education and intervention for cardiac surgery patients dealing with sleep disturbances. The following paper will describe the Capstone Project Proposal using the 12-steps of the research process.
Identification of a Problem
Dianatkhah et al. (2015) states, “Evidence has shown that postoperative sleep disorder may be partly due to disturbed melatonin secretion in the perioperative period” (p. 123). According to Pröpper, van Valen, van Domburg, Brunott, and Bogers (2015), quality of sleep after a cardiothoracic surgery is worse than before surgery (p. 529). Regardless, I hope to enhance the nursing profession by addressing the sleep disturbance problems cardiac surgery patients endure.
Research Questions and Hypothesis
My focus for the Capstone Proposal Project will be the effects of nursing education and intervention on sleep disturbances encountered by the cardiac surgery population.
Research Questions
1. What are nurses’ current knowledge base on sleep hygiene and the effects of sleep deficiency in the cardiac surgery population?
2. Will nursing education and intervention positively affect the known deficiency of sleep experienced by cardiac surgery patients?
3. What barriers exist in preventing sleep disturbances encountered by the cardiac surgery population? How can these barriers be overcome?
ANOVA (Analysis of Variance) is used to determine a difference of noise exposure for all sampling locations, from morning to night (Idris & Tembhurkar, 2014). “The data is analyzed through ANOVA (Analysis of Variance) for single factor experiment, using F- distribution which is carried out on equivalent noise level (LAeq) and noise pollution level (LNP)” (Idris & Tembhurkar, 2014, p. 35). For both cases the p-value resulted as less than 0.05, which means it was statistically significant (Idris & Tembhurkar, 2014). As stated by Keele (2011), quantitative designs have generated data from numbers