This study will look for a hospital which has a wide variation in terms of educational attainment of its nurses. The nursing population of this chosen hospital will then become the participants of this study. Only the currently-employed; full-time nurses are eligible for the survey.
IV. Data Collection and Analysis
This study will use secondary information. The researcher will request the educational attainment data of their employed nurses to the Human Resources Department. The data for patient-nurse ratio and patient outcome on the other hand, will be requested to the administrative authorities of the hospital.
After completing the data-gathering phase, the researcher will encode the answers and will analyze data using statistical software that will generate: (a) Pearson's r, which will determine the strength of association of these three variables; (b) linear regression, which will specify the nature of relationship among variables (Nachmias & Nachmias, 1996, p.421).
Bias
Since this study will be using secondary data, there is a very low possibility of bias entering the study. It can be susceptible to statistical errors though. Since this study will be analyzed via significance testing, Type I (rejection of true hypothesis) and Type II (acceptance of a false hypothesis) error are possible. In order to minimize these errors, the significance levels (alpha) will be lowered at.05 (ibid.).
The study found that increasing the proportion of nurses who were more highly educated by ten percent lowered the thirty-day mortality rate of patients by five percent. Conversely, if the workload on these nurses was then increased by one patient the thirty-day risk of mortality rose by five percent. This is indicative of the fact that education and staffing are linked and are both significant when it comes to
Further analysis of Aiken et. al.'s study illustrates a breakdown of the study's components, enumerated and discussed below: Hypothesis There is a significant relationship between nurses' education and patient outcomes. Study design The research is a cross-sectional study that sought to confirm the researchers' hypothesis (stated above) among 232,342 general, orthopedic, and vascular surgery patients from 168 general hospitals in Pennsylvania. Variables Variables under study were nurses' educational levels and patient outcomes; additional variables included
Dialysis organizations would be another opponent to the change due to the cost. Raising the costs of treatment might be necessary to hire new nurses. Dialysis clinics, because of their small size, often have fewer resources than large hospitals and the increased cost of wages of new hires would place a an additional stress on the unit's already limited budget, perhaps if estimates by the American Hospital Association are correct,
Nurse-Patient Ratio on Care Quality Nurse Patient Ratio The Impact of Nurse to Patient Ratio on Healthcare Quality The Impact of Nurse to Patient Ratio on Healthcare Quality It would be hard to understate the importance of a high nurse to patient ratio (NPR) for patient and staff safety, as well as quality of care. While there are a number of different nursing factors that can influence these outcomes, including nursing education, experience,
Cross-Sectional Study to Determine Factors in the Educational Advancement of the Licensed Practical Nurse to the Registered Nurse in the State of North Carolina According to the Harvard Nursing Research Institute, United States nursing school enrollments dropped by 20.9% from 1995 to 1998 (Healthcare Review, 2000). Behind headlines such as this one are the overwhelming issues which threaten the nursing workforce: 1) staffing cuts, 2) mandatory overtime, and 3) the
Nursing Education The objective of this work is to investigate an issue or trend that is going to impact nursing education significantly in the years to come. For the purpose of this work in writing the issue of distance education has been chosen. The work of Affara (nd) entitled "Global Trends and Issues in Nursing Education" reports that the global shortage of nurses is different from the shortage experienced in the
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