For the purpose of integrating nursing diagnosis into the nursing curriculum, a descriptive survey re search was done using the inductive method with questionnaires and a literature review. Research subjects included nurse educators, textbooks of adult nursing published in Korea, and the course outline for adult nursing used in one college of nursing. The Results show that there was common agreement on 39 nursing diagnosis which should be included in the adult nursing curriculum, textbooks of adult nursing, and patient care on the medical-surgical units. The two existing nursing diagnosis classification systems (NANDA and Gordon's Human Response Patterns) show different basic frameworks and difficulties were discovered in integration of nursing diagnosis into the curriculum. To develop a conceptual framework for a nursing diagnosis classification system, diagnosis were classified into three categories; health promotion, high risk problem, and actual problem on the basis of the framework used in adult nursing textbooks and Gordon's 11 Functional Health Patterns. Subconcepts for actual problems were classified as; activity and rest, nutrition and elimination, perception and coordination, stress and coping. Progress in this study supports further development of a conceptual framework of nursing based on a nursing diagnosis classification system, from which improvement in nursing education and clinical practice can be expected.

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• Development and Application of a Nursing Assessment Tool for Senior Center Nurses
  Ha Na Ko, Misoon Song
  Perspectives in Nursing Science.2016; 13(2): 96.     CrossRef

The purpose of this study was to classify, from collected home health care records data, nursing diagnoses according to the NANDA system and nursing interventions according to the NIC system, and to link nursing interventions to nursing diagnoses. For this study, 101 home health care records of clients seen between September, 1994 and November, 1996 at Yonsei Medical Center, Seoul, were analyzed. The results of this study are summarized as follows: 1. The most frequent nursing diagnoses were 'Risk for infection' and 'Altered nutrition : Less than body requirements', then 'Impaired skin integrity' and 'Ineffective airway clearance' in the Exchange patterns of NANDA nine human response patterns. 2. The most frequent nursing interventions were the interventions in the Physiological : Complex domain, there were 690(50.7%) interventions among a total 1347 interventions. This results corresponds to Yom, Young Hee(1995)'s research, both Korean and U.S. nurses used the interventions in the Physiological : Complex domain most often on a daily basis. And respiratory nursing interventions were most frequent because 32.7% of the subjects were respiratory patients. 3. The next step was to link the nursing interventions to nursing diagnoses. The most frequent nursing diagnosis was 'Risk for infection' and 19 interventions for 'Risk for infection' were used 267 times. Then 14 interventions for 'Impaired skin integrity' were used 258 times, 12 interventions for 'Ineffective airway clearance' were used 193 times, 12 interventions for 'Altered nutrition : Less than body requirements' were used 122 times, 10 interventions for 'Activity intolerance' were used 75 times, and 11 interventions for 'Knowledge deficit' were used 52 times. 4. The use of standardized classification in the areas of nursing diagnoses and nursing interventions facilitates clinical decision making and prompt nursing activity, and so enhances the effectiveness of nursing care.

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• Developing an Electronic Nursing Record System for Clinical Care and Nursing Effectiveness Research in a Korean Home Healthcare Setting
  EUN JOO LEE, MIKYOUNG LEE, SUE MOORHEAD
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The purpose of this study was to develop the computerized nursing diagnoses system for clinical application and activation of nursing diagnosis based on validity verification. In addition, our research team also performed system tests in clinical situations, to identify ways to improve the program and make it more practical. Nursing Diagnoses System will increase nurses' knowledge and experience of the application of nursing diagnoses in clinical situations and development of nursing interventions by nurses as well as the effectiveness of hospital computerized systems. We expect this system can contribute to an improvement in the quality of nursing care. Also we will continuously evaluate and revise the system related to the utilization of the program.

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