Background: Calculating the accurate number of nursing personnel based on a patient classification system that clearly reflects the nursing needs of patients is a problem directly related to the nursing unit’s budget management, productivity, etc. This study aimed to calculate the total daily nursing workload and the optimal number of nurses per general unit based on the nursing intensity and direct nursing time per inpatient through patient classification.
Methods: Three units at one general hospital were investigated. To calculate nursing intensity, patient classification according to nursing needs was performed for over 10 days in each unit in September 2018. The direct and non-direct nursing time and nursing intensity scores were analyzed using descriptive statistics (e.g. frequency, percentage, and average) generated using Microsoft Excel.
Results: For the internal medicine unit, the average direct nursing time per patient was 1.0, 1.5, 2.2, and 2.9 hours for Groups 1, 2, 3 and 4, respectively. For the surgical unit, the average direct nursing time per patient was 0.9, 1.4, 2.1, and 2.6 hours for Groups 1, 2, 3, and 4, respectively. For the comprehensive nursing care unit, the average direct nursing time per patient was 0.8, 1.2, 1.7, and 2.2 hours for Groups 1, 2, 3, and 4. The optimal number of nurses was 25 in the internal medicine unit, 37 in the surgical unit, and 22 in the comprehensive nursing unit. There was a shortage of five nurses in the internal medicine unit and nine in the surgical unit.
Conclusion: Based on the nursing time according to patient classification groups, this study confirmed that the optimal number of nurses cannot be secured and that the nursing intensity is very high. The results of this study suggest that long-term efforts, such as improving the nursing environment, should be made to secure an optimal number of nurses in various hospital nursing units.