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Developments of patient classification system in a general hospital

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KMID : 1004619990050020135
Á¶À±°æ ( Cho Yoon-Kyung ) - ½ÅÃ̼¼ºê¶õ½ºº´¿ø

±èÇâ¼÷ (  ) - ½ÅÃ̼¼ºê¶õ½ºº´¿ø
±èÀºÈñ ( Kim Eun-Hee ) - ½ÅÃ̼¼ºê¶õ½ºº´¿ø
±èÀºÇö ( Kim Eun-Hyeon ) - ¿¬¼¼´ëÇб³ ¼¼ºê¶õ½ºº´¿ø °£È£ºÎ
±æÀ±°æ ( Kil Yun-Kyung ) - ¿¬¼¼´ëÇб³ ¼¼ºê¶õ½ºº´¿ø °£È£ºÎ
ÀÌÅÂÈ­ ( Lee Tae-Wha ) - ¿¬¼¼´ëÇб³ °£È£´ëÇÐ
±èÀº¹è (  ) - ½ÅÃ̼¼ºê¶õ½ºº´¿ø
±èÁ¤¿¬ ( Kim Jung-Yeon ) - ¼¼ºê¶õ½ºº´¿ø

Abstract

Chief concept : patient classification system, direct & indirect nursing activity, critical indicator of patient classification system.
The necessity of this study is as follows:
1) to analyse direct and indirect nursing. activities done in ICU, set, the criteria and categorize. 2) to check the average time of each nursing activity. 3) to understand the kinds of nursing activities served to each patient in ICU and calculate the total nursing time per each patient by checking frequency of nursing activities. 4) to perform patient classification according to the total nursing time per day. 5) to assume critical indicator of patient classification system by analyzing the factors affecting the total nursing time per day.
The method of this study:
This study is descriptive study for developing ICU patient classification system. The nursing unit of this study was ICU in Y general hospital in seoul. The study was performed from March 1999 to October 1999. The data was collected from ICU nurses and ICU patients in the way of observation and nursing records analysis.
The process of this study:
Stage ¥°: Setting the survey unit and surveying nursing activities in the nursing unit Stage ¥±: Surveying the average nursing time per each nursing activity Stage ¥²: Surveying nursing activity frequency and caleblating total nursing time per day Stage ¥³ Patient classification according to total nursing time per day Stage ¥´: Making critical index affecting patient classification system
Data analysis method:
The data was computerized by using SPSS program. The average nursing activity time was analysed by descriptive statistics, and the relationship between patient categorization and total nursing time was analysed by ANOVA and Post-Hoc test. The accountability of factors related to each nursing activity was analysed by simple multiple regression analysis.
The results of this study are as follows
1. Nursing activity analysis, setting criteria and categorization Finally direct nursing activities were made 166 items in 14 areas and indirect nursing activities were made 22 items in 8 areas by modifying and supplementing the tool used in the Kim Mo-Im¡¯s study, ¡ºThe research for checking nursing time of each nursing activity¡» 2. Calculation of average time in each nursing activity the average of each nursing activity time was calculated from 12 checks from 9.13.1999 to 9.26.1999.
3. Total daily.nursing time per each nursing activity The ratio of direct nursing activities was treatment(22%), observation and checking (21.5%) and medication(19.6%), and the ratio of indirect nursing activities was nursing planning & rounding(21.8%) and paper work(19.6%). Direct nursing was taking 71%, and indirect nursing was taking 29% of total nursing time.
4. Nursing activity time analysis according to three shift The ratio of average direct nursing time per one patient was 34.6% in day shift, 30.9% in evening shift, and 34.5% in night shift. And the ratio of average indirect nursing time was 36% in day shift, 30.3% in evening shift, and 33.7% in night shift. 5. Patients classification according to total nursing time per day
The average time was 356.35 min in ¥°group, 513.68 min in ¥±group, 684.21 min in ¥²group, 875.38 min in ¥³group, and 1106.79 min in ¥´group. After ANOVA, Post-Hoc test was used to explain the differences among each group, and the differences among the groups were revealed. 6. Factor analysis affecting total nursing time per day To determine major factor affecting total nursing time in ICU, the independence of the variables was calculated in zero-order correlation and reviewed, and simple multiple regression analysis was used. In the area of direct nursing activities, observation & checking (r=.73, p<.001), treatment & therapy (r=.61, p
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