PURPOSE: The traditional nursing roles have become increasingly blurred. Nurses are now working in different ways and at higher levels of practice that enable nurses to adapt their roles and take on new responsibilities. The advanced role of nurses requires a different kind of master-level prepared education. METHOD AND RESULT: This article describes an curriculum development process in preparing registered nurses for their advanced nurese' roles in the area of acute adult health nursing, geriatric nursing, pediatric nursing, neonatal intensive care nursing and oncology nursing. Several important issues to be solved regarding introduction of APN were also discussed. CONCLUSION: The curriculum that was proposed in the study will equip nurses to meet the challenges of future healthcare provision and will be a model to other areas of nursing practice and curriculum development.
PURPOSE: The purpose of this study was to project supply and demand for registered nurses to the year 2015 and to make recommendations regarding nurse manpower planning for the 21st century in Korea.
METHODS
The supply of nurses was predicted using a baseline projection and demographic methods. The demand for nurses was forecasted by the derivative method.
RESULTS
Projections indicate there will be an oversupply of nurses based on the current productivity. However, there will be under-supply if predictions are based on the standard for nursing staff established by the medical law and the optimal productivity derived by the patient classification system.
CONCLUSION
Korea needs more practicing nurses. One way to increase the number of practicing nurses is to increase the number of graduates. However, considering the low retention rate of nurses, a better way to solve the nurse shortage problem is to develop strategies to recruit and retain nurses.
In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered.
The data were collected from the Health Insurance Review and Assessment Service (HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis.
The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%.
The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.