¶ … high turnover of nursing personnel. The three main risks associated with this issue are 1) poor quality care, 2) unhealthy work environments, and 3) negative financial performance.
The first risk -- poor quality care -- is the result of a high turnover of nurses, which can lead to inadequate staffing. When there are two few nurses on any given shift, patients receive less care and attention because the nurses on shift are stretched in too many directions at once. Patients are required to wait longer, especially in the ER, which can be problematic for patients requiring immediate care. Such is what happened to Edith Rodriguez at King-Drew hospital in L.A: she died in the ER lobby waiting area because of insufficient attention given her by an over-stretched staff (AP, 2007).
The risk management solution to this first issue is to develop a temporary pool of nurses who can work on an as-needed basis. This allows for a contingency of nurses who can fill the gaps in shifts that result from high nursing personnel turnover. Another intervention that can help to mitigate risk is to develop standard operating procedures and a risk management plan that addresses emergency cases. With such a plan in place, nursing personnel can properly assess and handle situations so that...
Quality of Life Among Tawau Hospital Sufering From Knee Osteoarthritis With Physiotherapy Qualitative study of How Quality of Life of Tawau Hospital Staff Suffering from Knee Osteoarthritis have been improved at Physiotherapy Unit. To investigate how the Quality of Life among Tawau Hospital staff suffering from Osteoarthritis (knees) have been improved using Physiotherapy intervention. The study employs qualitative techniques to collect data. The sample population is selected from people and Tawau Hospital staff visiting the
Occupational Stress and Scientific MonitoringElena Georgiou*AbstractThe aim of this project was to review evidence available on occupational stress and how it can be monitored scientifically. Closed-ended questionnaires were used to obtain data from 150 participants. Data was analyzed using OLS (Ordinary Least Squares) regression analysis. Data included the demographic background of participants: age, sex, and their occupational background. From the demographic background, all participants (150) were literate where more than
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