In both research articles, the authors argue that the health care institution has a severe problem. It is understaffing in nursing and the early leaving of nurses from health organizations. There has been a spike in research on retaining nurses in healthcare facilities recently (Zhu et al., 2019). Inefficient stuffing, unfair assignments, and divisional structuring are primary factors influencing the increasing number of nurses’ leavings. These current problems of nursing were mentioned in the Summary of Critical Issue. Moreover, in both papers, the quality of health services directly depends on the number of nurses in the organization. Therefore, one can conclude that only clinics of a greater level that can afford a significant nursing staff, proper staff policy, and staff management can provide high-quality medical services.
Analytical Works Interconnection in Terms of Intervention
In Short Staffing in Nursing: Research Critique, described intervention is divided into two parts. The first one is a standard clinical setting or a nursing workload (Mohammad et al., 2017). The second part of the described intervention is nursing care rationing (Zhu et al., 2019). In the second work, the intervention is the emergency department. The authors agree that medical services’ effectiveness depends on the number of nurses in a healthcare institution and the quality of the nursing department staffing. They also say that nurses need more hours to work with patients. Simply put, clinics need a clear staff policy regarding nurses. Therefore, hiring a nurse for two patients for more than twelve hours would be an effective nursing control measure.
Analytical Works Interconnection in Terms of Comparison
One of the best ways to assess an intervention’s efficiency is to compare its results with its closest counterparts. For example, Mohamed et al. (2017) chose a proper clinical setting as the subject of comparisons. The New Brunswick Nurses Union (NBNU) guidelines and Nurse Practice Act (NPA) rules are those theoretical frameworks that improve nursing staff coordination and effectively guide their efforts in the workplace. Simply put, staff policies created in accordance with these two rulebooks create a proper clinical setting. Therefore, it would be fair to compare licensed practical nurses who participated in the intervention with those who followed the NBNU and NPA rules. The information received would result in a new staff policy that would provide clinics with competent staff management that would stop nurses’ outflow from medical facilities.
Analytical Works Interconnection in Terms of Outcome and Time
Time is of great importance in medicine in general and in nursing in particular. According to Qualitative Research Critique data, extra patient hours can improve patient outcomes and patient satisfaction (Gräff et al., 2016). The authors of Short Staffing in Nursing: Research Critique also argue that the intensity of workload and quality of care are interconnected. Proper time scheduling makes assignments more balanced and helps nurses avoid stressful situations. Stringent staff policy optimizes and speeds up many workflows resulting in reducing working hours. It and standard nurse compensation lead to such positive outcomes as increased patient safety, higher quality of health services, and fewer medical mistakes. However, it takes time to assess objectively whether these discussed measures could retain nurses. Twelve months is more than enough time to evaluate the intervention’s impact in many scientific disciplines, especially in Nursing. Six or nine months are also possible alternative timeframes for the intervention.
References
Gräff, I., Goldschmidt, B., Glien, P., Klockner, S., Erdfelder, F., Schiefer, J. L., & Grigutsch, D. (2016). Nurse staffing calculation in the emergency department – Performance-oriented calculation based on the Manchester Triage System at the University Hospital Bonn. PloS one, 11(5), 1-11. Web.
Mohammad, H., Bahar, S., & Abdolreza, G. (2017). Nursing staff retention: Effective factors. Annals of Tropical Medicine and Public Health, 10(6), 1467-1773.
Zhu, X., Zheng, J., Liu, K., & You, L. (2019). Rationing of nursing care and its relationship with nurse staffing and patient outcomes: The mediation effect tested by structural equation modeling. International Journal of Environmental Research and Public Health, 16(10), 1672-1672. Web.