• Journal of Korean Academy of Nursing
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• v.35 no.4
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• pp.649-655
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• 2005

The purpose of this study was to identify the perception of nurse experts on the contribution of nursing interventions to Nursing Outcomes Classification NOC nursing outcomes. A nursing outcome is a nursing-sensitive patient outcome primarily affected by nursing interventions. As one of the standardized language systems of nursing outcomes, the NOC must be examined for applicability before it is used in Korea. Data were collected in February and March 2003 using a 5-point Likert scale. For data collection, 230 quality improvement (QI) or quality assurance (QA) nurses from general hospitals in Korea were asked to rate the extent that nursing interventions contribute to each of the NOC nursing outcomes (2000) in their hospitals. Ninety-six nurses from 63 hospitals responded and the response rate was $41.7\%$. Mean scores for perception of contribution of nursing interventions to each of the NOC nursing outcomes ranged from 2.18 to 4.54. Vital Signs Status had the highest score (M = 4.54), and Abuse Recovery: Financial, the lowest score (M = 2.18). Of the seven NOC domains, the mean score was highest for Physiologic Health (M = 3.91) and lowest for Community Health (M = 2.92). Of the 29 NOC classes, the mean score for perceived contribution was highest for Metabolic Regulation (M = 4.32) and lowest for Community Well-Being (M = 2.92). Participants perceived that nursing interventions in general hospitals in Korea contributed, at least to a certain extent, to most of the NOC nursing outcomes. Based on these results, NOC should have relatively good applicability in Korea.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.3
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• pp.411-430
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• 2002

Purpose : This study was to develop Nursing Process Model of abdominal surgery patient using nursing diagnoses of NANDA, Nursing Interventions Classification(NIC), and Nursing Outcomes Classification(NOC). Method : The data in database were collected from nursing records in sixty patients with abdominal surgery admitted in a university hospital and open questionnaires of thirteen nurses. Systematic nursing process resulting from each nursing diagnoses, most common, was developed by the statistical analysis through database query from clinical database of abdominal surgery patients. Result : 51 nursing diagnoses were identified in abdominal surgery patients. The most commonly occurred nursing diagnoses were Pain, Risk for Infection, Sleep Pattern Disturbance, Hyperthermia, Altered Nutrition: Less Than Body Requirements in order. The linkage lists of NANDA to NIC and NANDA to NOC, and the nursing activities according to nursing diagnoses of abdominal surgery patients were identified in unit. Conclusion : Nursing Process of abdominal surgery patients was comprised of core nursing diagnoses, core nursing interventions, core nursing outcomes which provides the most reliable data in unit and could make nurses facilitate nursing process easily without full consideration of knowledge about nursing language classification system. Therefore, it could support nurses' decision making and recording of nursing process especially in the computerized patient record system if unit nursing process model using standardized nursing language system which contains of their own core nursing process data was developed.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.7 no.3
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• pp.429-440
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• 2000

The purpose of this study was to validate self care outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 103 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not at all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follows : 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Self care: Toileting' attained an OCV score of 0.884 and was the highest OCV score among self care outcomes. 3. 'Self care: Oral Hygiene' attained an OCV score of 0.756 and was the lowest OCV score among self care outcomes. 4. 'Self-care: Activities of Daily Living (ADL)' attained an OCV score of 0.845 and the highest indicator was 'eating'. 5. 'Self-care: Bathing' attained an OCV score of 0.810 and the highest indicator was 'washes body'. 6. 'Self-care: Dressing' attained an OCV score of 0.831 and the highest indicator was 'buttons clothing'. 7. 'Self-care: Eating' attained an OCV score of 0.815 and the highest indicator was 'chews food'. 8. 'Self-care: Grooming' attained an OCV score of 0.833 and the highest indicator was 'combs or brushes hair'. 9. 'Self-care: Hygiene' attained an OCV score of 0.823 and the highest indicator was 'washes hands'. 10. 'Self-care: Insrumental Activities of Daily Living(IADL)' attained an OCV score of 0.776 and the highest indicator was 'uses telephones'. 11. 'Self-care: Non-Parenteral Medication' attained an OCV score of 0.796 and the highest indicator was 'identifies medication'. 12. 'Self-care: Parenteral Medication attained an OCV score of 0.810 and the highest indicator were 'identifies medication' and 'administers medication correctly'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• Women's Health Nursing
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• v.6 no.4
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• pp.506-515
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• 2000

The purpose of this study was to validate abuse outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1 (indicator is not at all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follows: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Abuse Recovery : Emotional' attained an OCV score of 0.780 and was the highest OCV score among abuse outcomes. The highest indicator was 'demonstration of positive interpersonal relationship'. 3. 'Abuse cessation' attained an OCV score of 0.739 and was the lowest OCV score among abuse outcomes. The highest indicator was 'physical abuse has ceased'. 4. 'Abuse Protection' attained an OCV score of 0.743 and the highest indicator was 'plans for avoiding abuse'. 5. 'Abuse Recovery: Financial' attained an OCV score of 0.762 and the highest indicator was 'court-ordered benefits received'. 6. 'Abuse Recovery: Physical' attained an OCV score of 0.767 and the highest indicator was 'resolution of physical health problem'. 7. 'Abuse Recovery: Sexual' attained an OCV score of 0.768 and the highest indicator was 'expression of confidence with gender identity'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• Journal of Korea Multimedia Society
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• v.14 no.9
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• pp.1190-1201
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• 2011

The purpose of this research paper is to develop Mobile application-based Nursing Process Programs on 'Nursing Diagnosis', 'Nursing Interventions' and 'Nursing Outcomes Classification' targeting nurses and nurse students. To achieve it, this paper uses 'standard classification-focused research data' on the basis of Nursing Diagnosis Classification established by NANDA (North American Nursing Diagnosis Association), NIC (Nursing Interventions Classification) and NOC (Nursing Outcomes Classification) mainly developed by Iowa State University. The existing research methods are difficult to be applied to patients, since such methods put a restriction on choosing, developing, and generalizing 'Nursing Process Programs' in clinical spheres. But, this research thesis focuses on developing guidelines applicable to any clinical experiences, with the use of the framework in mutual links with all the nursing diagnosisoutcomes- interventions. In this regard, the Korean version programs were developed and registered in App store in March. Thus, it is expected that these programs would be wildly-available as tools for nursing education.

• The Korean Journal of Rehabilitation Nursing
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• v.14 no.1
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• pp.62-69
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• 2011

Purpose: The study assessed whether nurse staffing was associated with 3 nursing sensitive outcomes used in intensive care unit (ICU) nursing care plans. Methods: This study was a retrospective and descriptive study using clinical data extracted from the data warehouse of a large acute care hospital in the Midwest. One-way analysis of variance was used to analyze the records of 578 ICU patients admitted from March 25 to May 31, 2010. Results: 79 Nursing Outcomes Classification (NOC) outcomes were used in the nursing care plans. The 3 most commonly used NOC outcomes (Pain Level, Infection Severity, and Tissue Integrity: Skin and Mucous Membranes) were analyzed to determine their relationship to nurse staffing. As a nurse staffing ratio, the skill mix of nursing caregivers ranged from 0.74 to 1 with an average of 0.90. This skill mix of nursing caregivers significantly differed among the changes in Infection Severity scores. However, the mean difference was only 0.02. Conclusion: The results did not support that greater nurse staffing was associated with better outcomes. More research is still needed to determine the usefulness of Pain Level, Infection Severity, and Tissue Integrity: Skin and Mucous Membranes in evaluating the impact of nurse staffing.

• Journal of Home Health Care Nursing
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• v.3
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• pp.75-85
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• 1996

Nursing Intervention Classification(NIC) includes the 433 intervention lists to standardize the nursing language. Efforts to standardize and classify nursing care are important because they make explicit what has previously been implicit, assumed and unknown. NIC is a standardized language of both nurse-initiated and physician-initiated nursing treatments. Each of the 433 interventions has a label, definition and set of activities that a nurse does to carry it out. It defines the interventions performed by all nurses no matter what their setting or specialty. Principles of label, definition and activity construction were established so there is consistency across the classification. NIC was developed for following reasons; 1. Standandization of the nomen clature of nursing treatments. 2. Expansion of nursing knowledge about the links between diagnoses, treatments and outcomes. 3. Devlopment of nursing and health care information systems. 4. Teaching decision making to nursing students. 5. Determination of the costs of service provided by nurses. 6. Planning for resources needed in nursing practice settings. 7. Language to communicate the unigue function of nursing. 8. Articulation with the classification systems of other health care providers. The process of NIC development ; 1. Develop implement and evaluate an expert review process to evaluate feedback on specific interventions in NIC and to refine the interventions and classification as feedback indicates. 2. Define and validate indirect care interventions. 3. Refine, validate and publish the taxonomic grouping for the interventions. 4. Translate the classification into a coding system that can be used for computerization for articulation with other classifications and for reimbursement. 5. Construct an electronic version of NIC to help agencies in corporate the classifiaction into nursing information systems. 6. Implement and evaluate the use of the classification in a nursing information system in five different agencies. 7. Establish mechanisms to build nursing knowledge through the analysis of electronically retrievable clinical data. 8. Publish a second edition of the nursing interventions classification with taxonomic groupings and results of field testing. It is suggested that the following researches are needed to develp NIC in Korea. 1. To idenilfy the intervention lists in Korea. 2. Nursing resources to perform the nursing interventions. 3. Comparative study between Korea and U.S.A. on NIC. 4. Linkage among nursing diagnosis, nursing interventions and nursing outcomes. 5. Linkage between NIC and other health care information systems. 6. determine nursing costs on NIC.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.2
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• pp.221-238
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• 2002

Purpose: The purpose of this study was to develop and test the validity of the standardized Korean nomenclature of 260 Nursing Outcomes Classification(NOC) developed by Johnson and Mass at University of Iowa in 2000. Method: The four phases of the study were: (1) translation of the NOC into Korean by the Research Team, (2) nine nursing professors and nurses with various clinical backgrounds reviewed each nomenclature taking into consideration of definitions and outcome indicators. The modified Delphi method was used to determine the most appropriate nomenclature for each term, (3) 307 Clinical expert nurses more than three years field experiences were given a questionnaire to rate each Korean nomenclature using a 5 point Likert scale ranging from very inappropriate to very appropriate, and (4) final accordance of Korean Nomenclature. Result: The team determined that 260 Korean nomenclature was appropriately named. because the mean validity score of 260 outcomes was 3.90 and each of 260 Korean nomenclature had a score more than 3.00. Conclusion: Korean nomenclature of NOC can be used as a standardized language of nursing result in a computerized nursing information system.

• 한국보건간호학회:학술대회논문집
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• 2006.06a
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• pp.30-43
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• 2006

• Journal of Korean Academy of Nursing Administration
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• v.6 no.3
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• pp.357-374
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• 2000

The purpose of this study was to validate knowledge outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follow: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Knowledge: Treatment Regimen' attained and OCV score of 0.816 and was the highest OCV score among outcomes. 3. 'Knowledge: Energy Conservation' attained an OCV score of 0.748 and was the lowest OCV score among abuse outcomes. 4. 'Knowledge: Breastfeeding' attained an OCV score of 0.790 and was the highest indicator was 'description of benefits of breastfeeding'. 5. 'Knowledge: Child Safety' attained an OCV score of 0.778 and was the highest indicator was 'demonstration of first aids techniques'. 6. 'Knowledge: Diet' attained an OCV score of 0.779 and was the highest indicator was 'performance of self-monitoring activities'. 7. 'Knowledge: Disease Process' attained an OCV score of 0.815 and was the highest indicator was 'description of signs and symptoms'. 8. 'Knowledge: Health Behaviors' attained an OCV score of 0.800 and was the highest indicator was 'description of safe use of prescription drugs'. 9. 'Knowledge: Health Resources' attained an OCV score of 0.794 and was the highest indicator was 'description of need for follow-up care'. 10. 'Knowledge: Infection Control' attained an OCV score of 0.793 and was the highest indicator was 'description of signs and symptoms'. 11. 'Knowledge: Medication' attained an OCV score of 0.789 and was the highest indicator was 'description of correct administration of medication'. 12. 'Knowledge: Personal Safety' attained an OCV score of 0.804 and was the highest indicator was 'description of measures to reduce risk of accidental injury'. 13. 'Knowledge: Prescribed Activity' attained an OCV score of 0.810 and was the highest indicator was 'proper performance of exercise'. 14. 'Knowledge: Substance Use Control' attained an OCV score of 0.809 and was the highest indicator was 'description of signs of dependence during substance withdrawl'. 15. 'Knowledge: Treatment Procedure(s)' attained an OCV score of 0.795 and was the highest indicator was 'description of appropriate action for complications'. 16. 'Knowledge: Treatment Regimen' attained an OCV score of 0.816 and was the highest indicator was 'description of self-care responsibilities for emergency situations'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.