2014, Vol.32, No.2

군진간호연구 2023 KCI Impact Factor : 0.4

pISSN : 1975-664X
https://journal.kci.go.kr/kafna

Purpose : This study was conducted to identify the status of nursing handover in the ROK military hospitals and nurses' perception, experience level and causes of nursing handover errors. Methods : The subjects were 137 nurse officers and civilian nurses who were working in general wards of two military hospitals. In total, 110 data were used in the statistical analysis. Results : Only 8.2% of the respondents reported that they covered all the patients during their nursing handover process. The average handover time was 19.2±12.0 minutes. 59.8% of the respondents were found to use no written guideline or checklists during their nursing handover in the wards. The nurses perceived that their nursing handover was efficient (5.21±0.68), informative (5.13±0.69), and interactive and supportive (4.86±0.86). On the other hand, they expressed that their patients were rarely involved in the handover process (3.61±0.87). The experience of making a phone call to the preceding nurse for unclear or omitted information demonstrated the highest score (1.76±0.50) in experience related to nursing handover errors. The nurses indicated 'heavy workloads (3.54±0.96)', 'many interruptions of handover (3.31±1.00)', 'stress and fatigue (3.24±0.89)', 'personal disposition (3.15±0.99)' as the main causes of handover errors. Conclusion : The results of this study suggest that it is necessary to develop a standardized nursing handover protocol to promote patient safety by preventing errors in nursing handover.

Purpose : With the recognition of an imbalance in performance measurement, nursing organizations need to focus on efficiency as much as effectiveness. Although many studies have evaluated efficiency of nursing organizations with data envelopment analysis(DEA), they were usually confined to wards or nursing homes rather than a nursing department as a whole. This study aimed to measure technical efficiency of nursing departments of South Korean general hospitals using DEA and to identify its determinants. A Descriptive study design was used. 140 nursing departments from general hospitals across the nation were recruited as the decision making units(DMUs) for this study. Methods : Two input and three output variables were employed for the input-oriented VRS model. And seven determinants were chosen for the two-part model. For the analyses, the 140 DMUs were classified into three groups according to the number of beds available as a way to keep them homogeneous. Results : The efficiency frontier for each group was estimated, and each group had technically efficient DMUs of more than 30%. The technical efficiency score of the average DMU from each group was around 0.8. The ratio of FTE RNs to inpatients per day and length of stay were negative influencing factor of the level of technical efficiency of inefficient DMUs. Conclusion : Nurse managers should be careful not to achieve technical efficiency of their organization at the expense of quality of care. At the same time, they should not ignore efficiency in pursuit of quality of care.

Purpose : The purpose of this study was to find the precarious factors by analyzing the precedent data of fallen case, and to develop fall risk assessment tool in armed forces hospitals. Method : We analyzed 227 fallen cases in armed forces hospitals. 170 arbitrarily selected nurses, who have more than three years of career in three different hospitals, answered the questionnaire. Furthermore, we used secondary data of the cases and delphi method to make the study more confident and to develop the ""fall risk assessment tool"". Result : There were seven different types of fall risk assessment in armed forces hospitals and they were mental status, history of fall, secondary diagnosis, and treated equipment for patient, medication, mobility, and activeness Conclusion : By understanding the primary factors of the risk of falling, it helped making a ""fall risk assessment tool."" This development will contribute to the prediction and prevention of falling, and improvement of nursing services around the armed forces hospitals in Korea.