This study was done to determine direct and indirect nursing time in nursing units in hospital to applied computer system and expect that those results contribute to measure efficiency of nursing practice and planning of nursing manpower. The design for study was a descriptive study. The study results are as follows. 1. Patients admitted to the Internal Medicine and General Surgery units were grouped into four: Group I, 32.9% of the total patients, consisted patients whose condition was considered minor: Group II, 26.1%, was of those whose condition was considered moderate, Group III, 41. 8%, moderate severe and Group IV, 29.2% the most severe. 2. Nursing intervention times by care type were as follows: four minutes spent for suction, eight minutes, for simple position change, ten minutes, for sheet change, seven minutes for a hot or cool compress, six minutes for dressing change, four minutes for I.M.injection, six minutes for patient health education and five minutes for body temperature check. 3. Direct care time by patient group revealed the following: Group I rquired 191.4 minutes, Group II required 331.1 minutes, Group III rquired 499.4 minutes, and Group IV rquired 1328.0 minutes. 4. The ratio of time for adequate nursing care and direct care time in the Internal Medicine and General Surgery units was 67.4%-83.4% and 94.7%-99.3% in the Intensie Care Unit. 5. Average daily direct care time per patient was 5.5 hours in the Internal Medicine unit and 11.5 hours in the Intensive Care Unit. 6. Time spent in indirect care was 48.3 minutes for computer recording, 34.8 minutes for giving and receiving patient information for shift duty, 28.0 minutes for eating and resting time, 26.6 minutes for transfering and identifying patients, 25.6 minutes for identifying Doctor's order, 23.9 minutes for recording vital signs. 7. Time spent in indirect care was 282.2 minutes by head nurses (charge nurses), 258.7 minutes by nurses and 261.6 minutes by nurse aids. 8. The average nurse's workload was 9.3 hours and daily indirect nursing time required 46.3%-50. 5% of above mentioned workload time. 9. The average daily indirect care time per patient was expected to be 57.7 minutes in the Internal Medicine unit and 3.3 hours in the Intensive Care Unit.
This study was to identify which factors are likely to influence the effectiveness of smoking cessation on adults who smoke in Metropolitan Incheon.
Data from 9,083 smokers, who visited a smoking cessation clinic of a public health center from Jan. to Oct. 2005, were provided by the Korean Health Research Society. Among 9,083 smokers, 1,495 people were selected for follow up care at 6 months in order to analyze the differences between two groups one is a successful group and the other is a failure group.
The successful group included 639 people and the failure group 856 people. In the demographic profiles such as sex, age and motive registration, there was a significant difference between the two groups. In the view of smoking pattern and factors such as the expiratory CO level, the age of starting to smoke, the duration of smoking, alcohol, and dependence on alcohol use and nicotine, there were significant differences between the two groups. The smoking cessation method, results of uni variate analysis, the total number of visits to the smoking cessation clinics, and the use of nicotine gum or a patch(stage 1, stage 2) were significantly different in the two groups.
The results of multi variate analysis have shown that the factors associated with the success for smoking cessation is the total number of visits to the smoking cessation clinic, and the dependence on alcohol.
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This study was to evaluate the casual relationship between the factors in the Pender's model and to explain health promoting behaviors among middle-aged women in order to facilitate nursing interventions for this population group.
116 women between 40~60 years old living in Incheon were asked to complete a questionnaire about their health. The data was collected between March and November, 2003. The data was analyzed by descriptive statistics and the correctional analysis SPSSWIN 11.5 program. The LISREL 8.12 program was used to find the best fit model which explained a causal relationship of the variables.
The climacteric symptoms of middle-aged women negatively correlated with health promoting behaviors. However, marital satisfaction positively correlated with health promoting behaviors.
Marital satisfaction and climacteric symptoms had an effect on health promoting behaviors. Therefore, based on this study, we plan to develop a health education program to decrease climacteric symptoms and to promote marital satisfaction for health promotion.
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