• 지역사회간호학회지
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• 제32권4호
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• pp.467-476
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• 2021

Purpose: The purpose of this study is to understand the social perceptions of nurses in the context of the COVID-19 outbreak through analysis of media articles. Methods: Among the media articles reported from January 1st to September 30th, 2020, those containing the keywords '[corona or Wuhan pneumonia or covid] and [nurse or nursing]' are extracted. After the selection process, the text mining and topic modeling are performed on 454 media articles using textom version 4.5. Results: Frequency Top 30 keywords include 'Nurse', 'Corona', 'Isolation', 'Support', 'Shortage', 'Protective Clothing', and so on. Keywords that ranked high in Term Frequency-Inverse Document Frequency (TF-IDF) values are 'Daegu', 'President', 'Gwangju', 'manpower', and so on. As a result of the topic analysis, 10 topics are derived, such as 'Local infection', 'Dispatch of personnel', 'Message for thanks', and 'Delivery of one's heart'. Conclusion: Nurses are both the contributors and victims of COVID-19 prevention. The government and the nurses' community should make efforts to improve poor working conditions and manpower shortages.

• 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.

• 대한간호
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• 제11권4호통권60호
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• pp.17-21
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• 1972

• 대한간호
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• 제16권1호통권87호
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• pp.15-22
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• 1977

• 대한간호
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• 제16권1호통권87호
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• pp.23-27
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• 1977

• 대한간호
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• 제25권3호통권136호
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• pp.15-20
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• 1986

• 대한간호
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• 제25권3호통권136호
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• pp.21-25
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• 1986

• 한국보건간호학회지
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• 제1권1호
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• pp.45-61
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• 1987

This Study was an attempt to estimate the optimum numbers of Operating Room Nursing Manpower by measuring the amount of service hours required by the patients in Operating Room in relation to the service amount actually provided by the nurses. The major concern of this study was placed on the measurement of Nursing Service Requirements by using the Operating Room (O. R) Patient Acuity System recently developed by M. M. Hart to classify the O. R. patients into four groups according to the degree of the complexity of operative procedure and some other elements which increase nursing activities in respect of patient care; Acuity IV group is the one requires nursing services most, on the other hand Acuity I requires least. nu sing The objectives of this study were as follows; 1. To analyze functions of the nursing personnel in O. R. by time unit and to estimate the average time a nurse can activate for productive functions. 2. To measure the actual amount of nursing times provided by nurses to the surgical patients. 3. To develop a patient classification system in order to measure the amount of Nursing services required by the patients. 4. To calculate an appropriate number of nursing manpower to meet the needs of the patients. In order to conduct the research both selected nurses and patients in 'S' University Hospital were Studied by utilizing the O. R. Patient Acuity System as well as the Classification Chart developed by Association of Operating Room Nurses (A. O. R. N) as a means of classifying functions of O. R. nurses. That is; Functions of the 10 selected O. R. nurses observed during the period of June 30 to July 4, 1986, whereas the amount of nursing services required by or provided to the 974 patients who had received surgeries during the period of June 9 to July 4, 1986. The results of this study were as follows; 1) The actual working hours per a nurse averaged 6.7 hours a day. 2) Each nurse's daily routine schedule consists of $71.4\%$ for Technical Functions, $16.1\%$ for Nonprodective Functions, $6.6\%$ for Assessment and Evaluation, $3.9\%$ for Overseeing and Supervision and the rest $2.0\%$ for Patient Preparation respectively. 3) Preoperative waiting time per a patient was 24.1 minutes on the average; for the first case was 10.7 minutes, whereas for the following cases was 32.0 minutes. 4) Total Operation time for the 974 patients during the period of observation for this study amounted to 2759.6 hours, weekly hour was equivalent to 689.9 hours, Whereas daily operation time averaged 130 hours. Meanwhile the average operation time per patient was 2.8 hours ; for the case of Acuity IV was 5.6 hours, 5. 1 hours for the case of Acuity III, 2.3 hours for Acuity II and 1.1 hours for Acuity I. 5) According to the O. R. Patient Acuity System, $64.5\%$ of the whole patients belonged to Acuity II, $23.7\%$ to Acuity III, 11. $3\%$ to Acuity IV and $0.7\%$ to Acuity I respectively. 6) Required amount of nursing times based on the preoperative waiting time and operation time was 7167.8 person hours, which showed that $5.5\%$ of them needed for preoperative nursing care, whereas the rest $94.5\%$ for intraoperative nursing care. In terms of the O. R. Patient Acuity System, $49.7\%$ of total nursing service requirements was needed for Acuity II patients, $27.4\%$ for Acuity III patients, $17.2\%$ for Acuity IV patients and $0.2\%$ for Acuity I patients. 7) The rate of the nursing services provided against the required nursing times was about $81.4\%$ on the average; some departments, like those of Plastic Surgery, Otolaryngology and Ophthalmology whose patients mostly belonged to Acuity II recorded hegher provision rate than average, whereas other departments of Thoracic Surgery. Neurosurgery and Orthopedic Surgery whose patients belonged to Acuity III and Acuity IV as well as Acuity II recorded lower provision rate than average. 8) Subsequently, required numbers of nursing manpower was 10.7 nurses additionally. Based on the above findings the following recommendations will be made; 1) this study recommends, develops. and adopts an accurate and realistic O. R. Patient Acuity System which can help measure the nursing service requirements objectively to elicit the rationales of allocation of nursing personnels. 2) this study proposes storongly place nurses who take the role of preoperative nursing care exclusively for the waiting patients in O. R. and shortening their waiting time by close communication between the designated O. R. and the ward.

• 보건행정학회지
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• 제9권3호
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• pp.33-52
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• 1999

The purpose of this study is to project the supply and demand for nurses till the year 2012 and to make recommendations for establishment of proper policies regarding them. To predict the supply of nurses. a baseline projection and demographic methods were employed. The derivative demand was used to forecast the demand of nurses. The results of this study provide us with valuable information on nursing manpower planning for the 21th century. Specifically. results indicate that there will be an oversupply of nurses in the near future based on the current productivity. Based on the medical law. there will be an undersupply of nurses till 2002 but an oversupply after that. Thus. the active supply of nurses must be decreased. One way to achieve this would be decreasing the size of training and education. Thus. we recommend that the number of entrances to 4 year programs will be reduced 20% in 2004. and a reduction of 20% by 2005 in 3 year programs. The results of this study suggest the following: First. a manpower bank for nurses who are trying to reenter the market must be established. Second, improvement of education and retraining is needed for the quality control of nurses. Further studies should take into consideration the above factors.

• Journal of Preventive Medicine and Public Health
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• 제24권4호
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• pp.531-548
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• 1991

신생아의 질적 관리를 위해 신생아실 의료인력과 의료수가의 타당성을 파악하고자 영남지역내 24개 소아과 수련병원 가운데 신설병원과 모(母)병원의 수련프로그램에 의존해 있는 병원을 제외한 20개 병원의 신생아실을 대상으로 1991년 7월 29일에서 8월 14일 사이에 각 병원을 방문하여 자료를 수집하였다. 자료는 신생아실 대장에서 1991년 6월 한달동안 입.퇴원한 정상 및 환아수를 조사하고 신생아실 수간호사와 소아과 의사를 면담하여 정상신생아 관리에 소요되는 최소한의 간호시간, 인력현황, 인력의 적정성, 그리고 인력확보의 문제점을 조사하였고 자 병원 보험심사과에서 정상 질분만시와 제왕절개분만시 산모 1인당 평균 산모 및 신생아관리분의 의료비를 조사하였다. 정상신생아 1명당 하루에 필요한 최소한의 간호시간은 평균 179.5분(${\pm}58.6$)이었고 대학병원은 202.3분(${\pm}50.7$), 종합병원은 164.2분(${\pm}60.5$)이었다. 최소한의 간호 요구시간 대 제공가능한 간호시간 비는 평균 1.42였고 환아에 대한 간호 요구량을 감안했을 때는 평균 비가 2.06으로 간호인력이 매우 부족하였다. 미국 소아과학회가 권장한 신생아실 간호인력을 기준으로 할 경우 간호사는 31%, 간호조무사는 17%가 충원된 상태였다. 신생아실 수간호사의 90%와 소아과 의사의 85%가 간호사가 부족하다고 했고 간호조무사는 각각 75%가 부족하다고 했다. 간호인력 보충이 안 되는 주된 이유는 재정사정이라고 하였다. 간호조무사의 경우는 인력구하기 힘든 것이 재정사정 다음으로 중요한 이유였다. 그러나 국립대학병원의 경우는 의사와 간호사는 T.O.의 제한이 주된 이유라고 했다. 정상 질분만으로 2박 3일만에 퇴원하는 경우 총 의료비는 평균 219,430원이었고 이 중 신생아분은 20,323원(9.3%)이었으며, 제왕절개분만으로 6박 7일만에 퇴원할 경우 평균 732,578원이었고 이 중 신생아분은 76,937원(12.0%)이었다. 원가계산방식에 의한 신생아관리에 대한 최소한의 원가는 3차진료기관의 경우 1일 16,141원, 기타 종합병원은 14,576원으로 원가가 의료보험수가의 각각 5.0배, 4.9배나 되었다. 오늘날의 의료인력의 인건비 수준과 병원시설 및 관리비를 감안할 때 현행 의료수가로 양질의 신생아관리를 기대하기 어려운 것으로 생각된다.