Free Nursing Dissertations - This Study By Adomat And Hicks Use A Video Recorder To Document Nurse
This study by Adomat and Hicks use a video recorder to document nurse activity in 48 continuous shifts within two intensive care units and helped to determine the accuracy of the Nursing Workload Patient Category scoring system to measure nurse workload. The data obtained from the video of nurse activity was then correlated with the Patient category scale score that was allocated to the patient by the nurse in charge. The results of this study showed that the nursing skills required in these care units were of low skill type despite the needs of care being complex in general. It was found that nurses spent less time with patients who were categorized as in need of intensive care than those in need and in high dependency range in all units. The findings indicate that existing nurse patient ratio classifications are inappropriate as nurses spend less and less time with critically ill patients. The authors expose the flaws of classification or scaling systems that tend to correlate care with critical illness. They suggest that radical reconsideration of nursing levels and skills mix should make it possible to increase provisions and levels of intensive care providing the right numbers of staff at the appropriate units where patients need them most suggesting more flexible and alternative approaches to the use of nurse-patient ratios.
In a similar study discussing relationship between workload, skill mix and staff supervision, Tibby et al (2004) proposes a systems approach and suggests that hospital adverse events or AE are more likely when sub-optimal working conditions occur. Proper working conditions are thus absolutely necessary to ensure the smooth working of the clinical setting. Tibby and colleagues analyzed the adverse events in a pediatric intensive care unit using a systems approach and observational study to investigate the association between the occurrence of these adverse events and latent risk factors including temporal workload, supervision issues, skills mix, nurse staffing and the interactions between established clinically related risk factors (Tibby et a, 2004). The data was collected form 730 nursing shifts and the analysis was done with logistic regression modeling. The rate of adverse events was 6 for every hundred patient days and the factors associated with increased AE including day shift, patient dependency, number of occupied beds, and simultaneous management related issues although these were considerably decreasedwith enhanced supervisory ability of the nurses. Decreased number of adverse events have been found to be related to the presence of a senior nurse in charge, high proportion of shifts handled by rostered, trained, permanent staff and the presence of junior doctors.
