Future considerations of nurse staffing shortage (is a huge problem Research Paper

Future considerations of nurse staffing shortage (is a huge problem that impacts quality and safety everywhere and is only going tmuch worse with an aging nursing staff and retirements.) - Research Paper Example Shortages in working staff also impacts on the nurses themselves as they become dissatisfied, stressed, and overwhelmed. Recent research shows that High patient to nurse ratio lead to job burnout and frustration and this in turn leads to higher turnover. An inadequate nurse staff force plays a negative role in the patient outcomes. The Agency for healthcare Research and Quality in 2007 conducted a met- analysis which found that shortage of registered nurses together with an increased work load poses potential threat to the quality of health care (Papas, 2008). To ensure and facilitate future improvements in nurse staffing, healthcare organizations must focus on maintenance, recruitment and retention. A case study by the Nogueras, recommended that policies need to be developed to ensure an increase in recruitment and retention of young persons into the nursing profession (Coshow, Davis & Wolosin, 2009). The nursing career and profession should be recognized as a faculty that poses high levels of pertinent technical and scientific knowledge as well as personable aspect. This will be more appealing to a more diverse applicant pool. It is also imperative for the nurse leaders to develop and sustain a working environment where the employees connect with their organization. This should be done with a focus on recruitment as well as retention of the employees. Researchers also suggest that health care organizations should focus on aspects that yield more satisfaction to the older nurses such as benefits and pay. This will aid in achieving job sa tisfaction and retaining the experienced veteran nurses (Zurmehly, 2008). It is the responsibility of the health department and the various health organisations to come up with strategies that will ensure there is sufficient replacement of the aging and retiring number of nurses. First there should be partnerships between

Analysis and Interpretation Statistics Project Example | Topics and Well Written Essays - 1500 words

Analysis and Interpretation - Statistics Project Example The independent variable of the study is â€Å"attending religious services† while the dependent variable is â€Å"political views†. The study mainly duels on correlation and regression for data analysis. The correlation coefficient is important in showing whether and how strongly religious service attendance and political views are related. Because the study is linear in nature, Pearson product-moment correlation coefficient is necessary to measure the direction and strength of the linear relationship between religious service attendance and political views. The value of Pearson’s correlation coefficient is influenced by the distribution of the independent (attending religious services) variable in the sample. The descriptive results show that the mean and the standard deviation of the study are 4.19 and 1.404 respectively. The sample size for the study is 703. Taking 95% confidence interval, DF1 and DF2 are 8 and 694 respectively. This shows the difference of means between the groups with a significant level of 0.05. The p-value is the probability of obtaining a test statistic at least extreme as the one that was actually observed (Cronk, 2008). The p-value of the study is 0.01 at 95% confidence interval. The error term of the study is the mean square=1.853 with the harmonic mean sample size of 66.899. The harmonic mean is used in the study because the group sizes are not equal. The harmonic mean result shows that 66 out of 703 of the people interviewed attend religious services several times in a year. The confidence interval of the study is 95%. This shows that there is 95% confidence that the real value is within the calculated interval (mean). The Pearson correlation coefficient is 1. This means that there is a strong positive correlation between religious services and political views. The correlation coefficients across all the age groups also show positive results.