• 간호행정학회지
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• 제11권1호
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• pp.33-44
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• 2005

Purpose: This study was aimed to estimate nursing cost for hemodialysis of tertiary hospitals using Resource Based Relative Value Scale(RVRBS). Method: First, we calculated nursing workload of the each hemodialysis-nursing behaviors compared with basic nursing behavior(check vital sign) for the most severe hemodialysis patients in general hospitals. Second, we measured each spent time according to each nursing behaviors. Third, we computed Resource Based Relative Value(RBRV) scores and nursing expenses of each 14 nursing behavior for hemodialysis. Finally, we estimated nursing cost of each hemodialysis-behavior for the most severe hemodialysis-patients in general hospitals. Result: The mean RBRV scores for each nursing behaviors were from 218.9 to 383.9 points. The highest RBRV socres were 383.9(Complication during hemodialysis). The Nursing behavior that spent the most time was "access the vascular( 31.7 minutes)". Nursing cost per hemodialysis for the patient with severe condition was estimated 63,455(won). Conclusion: Total average workload was 347.6 points and total spent time was 306.5 minutes for 14 hemodialysis nursing behaviors provided to severe patients. There were clear differences in nursing workload and cost according to patient's severity-mild, moderate and severe class.

• 중환자간호학회지
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• 제2권1호
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• pp.48-57
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• 2009

Purpose: The purpose of this study is to establish reliability and validity and to identify the conversion index. Method: The WMSCN for ICU was revised from Workload Management System for Nurses(WMSN) of Walter Reed Army Hospital. Reliability of the WMSCN was evaluated interrater reliability between head nurses and staff nurses at 124 patients in April 2008. Validity through the correlation between direct nursing care hours and WMSCN score was conducted at 20 ICUs of 10 hospitals. Finally the conversion index was identified by total nursing hours and it divided by WMSCN score. Results: The scores by nurses were highly correlated with head nurses’(p=.967), and also scores of the WMSCN were highly correlated with the direct nursing care hours(p<.001). The distribution of patient classification ranks into class V(61.3%), class IV(24.2%) and class VI(11.3%). The scores of the WMSCN were no differences between MICU and SICU. Finally, the conversion index was 8.2 minutes. Conclusion: WMSCN is available to classify the nursing workload for critical care patients. The repeated evaluation of validity and reliability are requisite to use WMSCN effectively. And the conversion index should be adjusted to estimate the appropriate staffing in Korea.

• 중환자간호학회지
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• 제13권2호
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• pp.24-35
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• 2020

Purpose : This study aimed to determine whether the Korean Patient Classification System for Neonatal Care Nurses (KPCSN) properly measures neonatal intensive care needs and to compare the scale's results with those of the Workload Management System for Critical Care Nurses (WMSCN). Methods : Data were collected from the medical records of 157 patients who were admitted to the NICU of a university hospital, in D city. Two types of patient classification systems were applied to investigate the total points and distributions to investigate the total points and distributions by categories and compare relationships and classification groups between two scales. Finally, the score distribution among the classification groups was analyzed when the KPCSN was applied. Results : Scores on the KPCSN for the feeding, monitoring, and measure categories were 19.16±15.40, 16.88±3.52, and 9.13±4.78, respectively. Classification group distribution of the KPCSN was as follows : 1.9% for the first group, 24.2% for the second group, 58% for the third group, and 15.9% for the fourth group. The classification group distribution of the WMSCN was as follows: 35.7% for the third group, 61.1% for the fourth group, and 3.2% for the fifth group. Finally, the scores by categories were analyzed according to KPCSN classification group, and the characteristics of the patients' nursing needs were identified for each classification group. Conclusion : Results of this study indicate that the KPCSN effectively measures feeding needs, which account for many nursing activities in neonatal intensive care. Comparisons between the KPCSN and WMSCN classification group scores and distribution ratios verified the correlation and significance of nursing requirements.

• 대한인간공학회지
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• 제25권2호
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• pp.119-124
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• 2006

The present study evaluated the accuracy of MSD-related work criterion of Korea Ministry of Labor by using ergonomic workload evaluation methods. 1,948 manufacturing works in automobile industry were divided into 1,286 MSD-related risky works and 662 risk-free ones by using RULA, ANSI Z-365 and perceived discomfort evaluation. Then, the two types of works were evaluated by Labor Ministry work criterion to analyze the classification accuracy of the work criterion. The work criterion of Korea Labor Ministry had low hit and false alarm ratio(20 and 11%) and high miss and correct rejection ratio(80 and 89%), and the odd ratios of hit and correct rejection were 0.2 and 8.3, respectively. It can be concluded that the work criterion of Korea Labor Ministry is a conservative evaluation method which tends to evaluate a target work as risk-free.

• 보건의료기술평가
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• 제6권2호
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• pp.156-161
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• 2018

Objectives: To evaluate results and workloads of the horizon scanning of the emerging health technology since 2014 to 2016. Methods: In order to analyze the results of the emerging health technology, we identified the number of research procedure between 2014 and 2016. The sixteen findings were calculated annual workload by person, and categorized by medical phase, classification of disease, and healthcare technology. Results: An average of 5.67 personnel were involved over three years, assessment of each emerging healthcare technology was performed for each person of identifying 54 cases, filtering 2.4 cases, prioritizing 0.9 cases were performed. According to the mapping by healthcare technologies, nine medical devices (56.3%), six drugs (37.5%), and one material of the medical treatment (6.3%) were assessed. Among sixteen findings, fifteen cases were health technologies for treatment and only one case for diagnosis. Conclusion: Future plans of the horizon scanning of the emerging health technology is required appropriate manpower in charge each target number of assessment. And a legal basis should be provided for policy reflection rate. Furthermore, an evaluation criteria and procedures should be transparent to avoid a conflict of interest.

• 임상간호연구
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• 제24권1호
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• pp.113-126
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• 2018

Purpose: The purpose of this study was to revise the KPCS-1 and to standardize the three patient classification systems for general ward, ICU and NICU. The actual utilization of the KPCS-1 score and each nursing activity was evaluated and the relationships between KPCS-1 score and nursing related variables were reviewed. Methods: The 47,711 KPCS-1 scores of 6,931 patients who discharged from $1^{st}$ to $30^{th}$ April 2017 were analyzed and the statistical significance between KPCS-1 score and nursing related variables was reviewed by Generalized Estimating Equation. The revision of the KPCS-1 was carried out by Partial Least Square model. The 3 patient classification systems (KPCS-1,KPCSC and KPCSN) were standardized by professional reviews. Results: KPCS-1 was a valid instrument to express nursing condition adequately and was revised as a new version which has 34 nursing activity items. The names and terminologies of pre-existing 3 patient classification systems developed by KHNA were standardized as KPCS-GW, KPCS-ICU, KPCS-NICU. Conclusion: KPCS-1 was a valid instrument to represent diverse nursing conditions precisely and was revised as a 34-item KPCS-GW. The terminologies of the other patient classification systems by KHNA were standardized as KPCS-ICU and KPCS-NICU.

• 대한인간공학회지
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• 제31권3호
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• pp.445-453
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• 2012

The aim of this paper was to prove that if the risk level in combined tasks was improved through evaluation of postural load of liquid weight measurement process, the workload level and ratio of exposure time would be changed, and the time of process would be seen concurrently. Background: According to results of epidemiological studies conducted by Korea Occupational Safety & Health Agency, 122 musculoskeletal disorders occurred during 1992 to 2008, in which manufacturing industry covers 96(78.7%) of total. However, this is an insufficient level and only occupies 39% based on the South Korea's manufacturing standard industrial classification(246 industries). Method: Firstly, the number of batches weighed on one day(460min) was investigated based on the work performed and Weight measured weekly. VCR recording was taken based on the level of liquid ingredients prescribed for 1batch using the Camcorder. After dividing a 356 sec video into 1 sec using the screen capture function in Gom player, the job classification was performed by analyzing the change of working postures, which revealed 148 working postures. Time measurement was decided by time of the postures was being maintained. Then, the REBA analysis was performed for the working postures. The ratio of Exposure time was calculated based on the measurement time and REBA Score. In addition, the recommendations were designed and implementation was carried out for the working postures with REBA Score higher than 3. Finally, after the intervention, REBA measurement, time measurement, and ratio of exposure time were calculated for the comparison of works before and after improvement. Results: The number of work elements was decreased by 30.4% from 148 to 103 after improvement. The results of time measurement showed that the time was reduced by 46.3% from 356 sec to 191 sec. And the ratio of exposure time was also improved by 52.1% from 0% to 52.1% after improvement. Conclusion: The reduction of time was found to improve the productivity of management. Furthermore, because the reduction of ratio of exposure time and the improvement of workload level are the improvement of discomfort, it would contribute to the improvement of the worker's psychological working posture. Application: These results would contribute to musculoskeletal disease prevention and management performance. Further studies for other industries would be needed based on this case study.

• 종양간호연구
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• 제5권1호
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• pp.3-10
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• 2005

Back ground: Nurses now occupy one third of all hospital human resources. Therefore, efficient management of nursing manpower is getting more important. While it is very clear that nursing workload requirement analysis and patient severity classification should be done first for the efficient allocation of nursing workforce, these processes have been conducted manually with ad hoc rule. Purposes: This study was tried to make a predict model for patient classification according to nursing need. We tried to find the easier and faster method to classify nursing patients that can help efficient management of nursing manpower. Methods: The nursing patient classifications data of the hospitalized cancer patients in one of the biggest cancer center in Korea during 2003.1.1-2003.12.31 were assessed by trained nurses. This study developed a prediction model and analyzing nursing needs by data mining techniques. Patients were classified by three different data mining techniques, (Logistic regression, Decision tree and Neural network) and the results were assessed. Results: The data set was created using 165,073 records of 2,228 patients classification database. Main explaining variables were as follows in 3 different data mining techniques. 1) Logistic regression : age, month and section. 2) Decision tree : section, month, age and tumor. 3) Neural network : section, diagnosis, age, sex, metastasis, hospital days and month. Among these three techniques, neural network showed the best prediction power in ROC curve verification. As the result of the patient classification prediction model developed by neural network based on nurse needs, the prediction accuracy was 84.06%. Conclusion: The patient classification prediction model was developed and tested in this study using real patients data. The result can be employed for more accurate calculation of required nursing staff and effective use of labor force.

• 임상간호연구
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• 제18권2호
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• pp.251-263
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• 2012

Purpose: It was necessary for developing a neonatal classification system based on nursing needs and direct care time. This study was, thus, aimed at identifying nursing activities and measuring the standard nursing practice time for developing a neonatal patient classification system in Neonatal Intensive Care Unit (NICU). Methods: The study was taken place in 8 general hospitals located in Seoul and Kyungi province, South Korea from Dec, 2009 to Jan, 2010. By using 'the modified Workload Management System for critical care Nurses' (WMSN), nursing categories, activities, standard time, and task frequencies were measured with direct observation. The data were analyzed by using descriptive statistics. Results: Neonatal nursing activities were categorized into 8 areas: vital signs (manual), monitoring, activity of daily living (ADL), feeding, medication, treatment and procedure, respiratory therapy, and education-emotional support. The most frequent and time-consuming area was an ADL, unlike that of adult patients. Conclusion: The findings of the study provide a foundation for developing a neonatal patient classification system in NICU. Further research is warranted to verify the reliability and validity of the instrument.

• 임상간호연구
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• 제28권2호
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• pp.185-197
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• 2022

Purpose: This study was performed to verify reliability and validity of the Korean Pediatric Patient Classification System (KPPCS) and estimate nursing time conversion index. Methods: The study was conducted in 9 children's hospital which included various areas and size of bed settings. To verify intraclass correlation reliability and construct validity, staff nurses and nurse managers of 21 wards classified 575 patients according to KPPCS comparing differences by age, days of stay, type of stay and medical department. Direct and indirect nursing time of 575 patients were measured by 284 nursing staffs by stopwatch observation and self reports for 24 hours. Results: KPPCS has 12 categories, 55 nursing activities and 80 criterions. High agreement among nurses (r=.91, p<.001) suggested substantial reliability. Construct validity was verified by comparing differences in age, days of stay, type of stay and medical department (p<.05). The correlation of nursing time and classification score was also statistically significant (r=.59, p<.001). The nursing time conversion index was 10.78 minutes per 1 classification score. The entire patient group were classified to four groups using KPPCS. Conclusion: The findings suggest that KPPCS would be a useful tool for estimating nursing demands related to the complexity of pediatric patients.