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Running head: NAPPING OF NURSES DURING NIGHT BREAKS 0
Napping of Nurses during Night Breaks
Teleshia Colvin
Southern New Hampshire University
02/07/2021
Napping of Nurses during Night Breaks
Result of the research
The study result established that longer naps cause poor sleep while shorter naps proved to be effective. Napping provides an opportunity for nurses to relax after a long day at work as a strategy of addressing fatigue. The researcher determined the result was significant by use of p-value using Friedman’s test [Chi square] (2, N = 45) = 60.45, p <0.001) (Edwards, McMillan, & Fallis, 2013).If the p-value falls below the significant level then the result was statistically significant.
The difference in the results
The result of the study revealed 98 percent of nurses napped during night breaks while others showed unfavorable effects. The majority of the managers reported that their hospital lacked a written napping policy (77%) while 49% and 28% of managers felt that there should be a nap room for nurses respectively (Edwards, McMillan, & Fallis, 2013). Eleven percent of managers reported that they had room in or near their unit for napping which is available for nurses. 55 percent approved napping while 28 percent of nurses perceive that their manager approves napping while the rest that is 4 percent perceive that administration approves napping during night shift break (Edwards, McMillan, & Fallis, 2013).
Limitation of the study population
The limitation of this study is that it involves a small sample. A small sample reduces the power of the study hence increasing the margin error which makes the study meaningless. Only 47 managers were sampled for the study. The limitation associated with the study population includes inconsistency with napping, no optimal napping time in critical care setting therefore, there was a challenge in determining an average time for all nurses.
Advantages and Disadvantage of the type of statistical analysis used
The Friedman rank test is used to test the difference between groups when the dependent variables being measured are ordinal. The advantage is that it assesses the median rather than the mean. Mean is not always the better measure of the central tendency of the sample. For example, the sample size in this study is small therefore this is an effective test for a small sample. Still, a test is valid when the sample size is small and the data is potentially nonnormal. Secondly, the test only analyzes ordinal and ranked data not to be tripped up by outliers. The advantage of this analysis test is that it is less efficient and may not provide an accurate answer.
Limitation of the study design
A web-based survey of critical care nurses was used to collecting data. The limitation of the study design includes a lower priority for carrying out the survey because of competing urgent tasks. In this research, there were varying approaches to napping and the assessment of its benefits. Lack of time to carry out the survey is another concern associated with survey study design. For example, there vary the approach to napping and all required enough time to collect the data.
References
Edwards, M. P., McMillan, D. E., & Fallis, W. M. (2013). Napping during breaks on night shift: Critical care nurse managers’ perceptions. Dynamics (Pembroke, Ont.), 24(4), 30–35.
