일개 상급종합병원의 간호·간병통합서비스병동 환자 간호중증도(Nursing Intensity) 비교 ; Comparison of Nursing Intensity according to Medical Units in a Tertiary Hospital

학위논문(석사) -- 서울대학교대학원 : 간호대학 간호학과, 2023. 8. 서은영. ; Proper nursing staffing is essential to warrant quality care. Determining nursing staffing levels involves an accurate assessment of the nursing workload. Nursing intensity is a concept that directly affects the quantity and quality of nursing work, which comprises four sub-factors: nursing care needs, the severity of the patient's illness, the complexity of skill mix, and the time taken to carry out nursing work. This study aimed to evaluate the nursing intensity according to five different medical units in an university affiliated tertiary hospital in Seoul, Korea. The nursing intensity were measured in four aspects, nursing care needs, the severity of the patient's illness, the complexity of skill mix, and nursing time. The data of 563 patients admitted to the hospital from December 2022 to January 2023 were analyzed. The five medical units included internal medicine(IM), internal medicine gastroenterology(IMG), general surgery(GS), orthopedic surgery(OS) and obstetric gynecology(OBGY). Data were collected using patients' electronic medical records(EMR) and the hospital's clinical data warehouse(CDW) system. Nursing care needs were retrieved from the data set of the Korean Patient Classification System (KPCS-1), the severity of illness from the Elixhauser Comorbidity Measures (ECM), the complexity of skill mix assessed using the number of diagnostic tests and treatments, and nursing time calculated based on major nursing activities. The results of this study were analyzed using descriptive statistics, the Chi square test, the t-test, the one-way ANOVA, and the Pearson's correlation test. The results of the study were as follows: 1) The average KPCS-1 score was 20.78, the average ECM score was 1.61, and the average number of tests and treatments was 0.34 and 1.14, respectively. The mean nursing time was 80.27 minutes with a standard deviation of 32.52 minutes, showing a wide distribution. 2) Significant differences were found by medical units in gender ...