• 제목/요약/키워드: Clinical Care Classification (CCC)

검색결과 3건 처리시간 0.027초

A Comparison of NANDA and CCC used in Hospital-based Home Health Care

  • Park, Hyeoun-Ae;Lee, Jin-Kyung;Lee, Hyun-Jung
    • Perspectives in Nursing Science
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    • 제5권1호
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    • pp.1-15
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    • 2008
  • Background: Recent changes in the medical environment have increased the need for the home health care nursing in Korea. Even though the number of home health care patients is increasing, the major nursing problems have not been identified due to lack of a standardized nursing diagnosis. Aim: An investigative study was conducted to determine the frequency and appropriateness of nursing problems in hospital-based home health care patients in Korea using two internationally standardized nursing diagnosis classification systems. Methods: Nursing records of 249 hospital-based home health care patients were reviewed and nursing problems were identified using the North American Nursing Diagnosis Association Nursing Diagnosis Taxonomy I (NANDA) and the Clinical Care Classification of Nursing Diagnoses (CCC). Findings: Out of 463 nursing problems. 403 nursing problems were described using the NANDA whereas 427 nursing problems were described using the CCC. Nursing diagnoses not captured by the NANDA classification include nausea/vomiting, anorexia, risk for nutrition deficit, decreased blood pressure, dying process, blood sugar impairment. infection unspecified, and disuse syndrome. Nursing diagnoses not captured by the CCC include nausea/vomiting and anorexia. Conclusions: In describing nursing problems of home health care patients, it was found that the CCC was able to represent more diagnoses than the NANDA.

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RUG-III를 이용한 노인환자군분류의 타당성검증 (Application of RUG-m for Long-Term Care Elderly Patients)

  • 이지전;유승흠;오희철;남정모;박은철;이윤환
    • 한국병원경영학회지
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    • 제6권3호
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    • pp.148-166
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    • 2001
  • The purpose of this study is to classify elderly patient in long-term care facilities using RUG(Resource Utilization Group)-III. It is designed by measuring patient medical characteristics and medical staff time. Elderly patients are classified into 7 categories by clinical(medical and behavioral) hierarchical typology of patients. Through the tertiary split, all 44 groups are formulated. This classification is explained by each patient resource(staff time) utilization level which is called CMI(Case-Mix Index). Major findings are as follows; 1. The objects in this study were classified into 35 groups out of 44 groups. The most frequent category is clinical complex category(CCC; 38.9%). And extensive service category(ESC; 18.8%), reduced physical function category(RPC; 13.1%), special rehabilitation category(SRC; 12.8%), and impaired cognitive category(ICC; 0.00%) are followed. 2. The mean of total CMI was $1.02{\pm}0.36$, ranging from 0.68 to 1.44(1 vs 2.12). The mean of CMI of SRC is only 1.17 which should be the highest. The means of ESC and see are equally 1.20. The means of CMI of CCI, ICC, BPC, and RPC were 0.90, 0.75, 0.83 and 0.96, respectively. 3. The validity of this classification was tested. Trend-test using Regression Analysis was done in the secondary split level. SCC, CCC, ICC, and RPC which covered 68.4% of this research objects showed linear trend of CMI in interim classification. This results were statistically significant. 4. In clinical hierarchy, the trend were showed linearity. But the multiple comparison of categories using Scheffe-test showed that SRC, ESC and see had same level of CMI means and CCC and ICC, too. This results were statistically significant. Classifying elderly patients with RUG-III, the results showed partly linear trend in clinical hierarchy and in interim classification in conclusion. But, in clinical hierarchy, it was failed to show the consistent order of CMI. It can be explained by two reasons. One is that this research subjects were overlapped in each clinical hierarchy group. And the other is that the some of the characteristics for clinical hierarchy is not appropriate for them. For the further study, it needs to have proper sample size and to modify RUG-III to K-RUG to consider our.. medical environment.

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PC와 스마트 폰 기반 임상간호분류체계 교육 코스웨어 개발 (Development of Education Courseware for Clinical Care Classification System based PC and Smartphone)

  • 홍해숙;이인근;조훈;김화선
    • 인터넷정보학회논문지
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    • 제12권3호
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    • pp.49-56
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    • 2011
  • 시간과 공간의 제약을 받지 않으면서 컴퓨터 또는 스마트 폰을 활용하여 간호사나 간호학생들의 평생교육을 지원하는 프로그램의 개발이 절실히 필요하다. 본 연구의 목적은 임상간호분류체계를 교육 프로그램으로 개발하여 간호학생의 임상실무를 위한 가이드라인으로 제공하는 것이다. 북 가이드라인과 개발된 PC 기반 가이드라인의 검색 시간을 비교한 결과 3.5배 이상 빠른 결과를 획득하였다. 오류율도 4배 이상 적게 나타났다. 이러한 결과는 간호 실무에서 빠르고 정확하게 중재 및 평가 가이드라인에 접근하므로 환자에게 정확한 중재를 할 수 있을 것이다.