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6 "Diagnosis"
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Validity Testing Study for Related Factors and Charateristics of Nursing Diagnosis
Young Hee Choi, Hyang Yeon Lee, Hea Sook Kim, So Sun Kim, Kwang Ok Park, Hyeoun Ae Park, Hyoun Kyoung Park
Journal of Nurses Academic Society 1997;27(3):705-714.   Published online March 30, 2017
DOI: https://doi.org/10.4040/jnas.1997.27.3.705
AbstractAbstract PDF

This study was conducted to test validity of related factors and characteristics of 98 Nursing Diagnosis identified in a previous study by the Korean Nurses Association. Data for this study was collected from 892 nurses in eight teaching hospitals located in Seoul using a cross sectional survey method. Each participating hospital was asked to produce at least 10 cases for every nursing diagnosis. There were 7,422 responses out of a possible 7,840. Out of the 7,422 responses 26 were discarded due to incompleteness. Data were analyzed using SAS. The result of the study shows that most of the related factors and characteristics for each of the 98 nursing diagnosis were ranked at more than 3.5 point out of 5 point Likert scale in terms of significance. Through this study the related factors and characteristics of the 98 nursing diagnosis identificance. Through this study the related factors and characteristics of the 98 nursing diagnosis identified through literature review were validated by experts in nursing diagnosis. These validated related factors and characteristics will be utilized for computerization of the nursing diagnosis process.

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A Survey Study of Nursing Diagnosis Use in Clinical Practice
Young Hee Choi, Hyang Yun Rhee, Hea Sook Kim, So Sun Kim, Kwang Ok Park
Journal of Nurses Academic Society 1996;26(4):930-945.   Published online March 30, 2017
DOI: https://doi.org/10.4040/jnas.1996.26.4.930
AbstractAbstract PDF

The purpose of this study was to identify the degree to which nursing diagnoses accepted by NANDA are used and to identify problems in application of nursing diagnoses in clinical practice. With the expanding potential fur computerization of nursing diagnosis, the survey also included data on the present status of hospital computerization and willingness to use computerized nursing diagnoses. The data collection was done from July 1 to August 3, 1996 using structured questionnaires. The questionnaires were mailed to 1,126 head nurses working in 44 hospitals with on occupacy of over 500 beds located in Korea, of these, 883 were returned from 40 hospitals. Among the 883 questionnaires, 867 were used for the analysis. The results of the analysis are as follows 1. Among 109 nursing diagnoses, pain, constipation, diarrhea, hyperthermia, high risk for infection, sleep pattern disturbance, and anxiety, chronic pain, altered urinary elimination, and altered nutrition: less than body requirements were the ten most frequently used diagnoses. 2. The primary problem in the use of nursing diagnoses was lack of time and personnel. Others were lack of knowledge and motivation, absence of protocols and absence of the appropriate methods to apply nursing diagnoses. 3. Among the 40 hospitals, 27 hospitals used a computerized system and expressed willingness to utilize the computerized system of nursing diagnoses that is planned for the future.

Citations

Citations to this article as recorded by  
  • The Network Analysis of Nursing Diagnoses for Children Admitted in Pediatric Units Determined by Nursing Students
    Mikyung Moon
    Journal of Health Informatics and Statistics.2017; 42(3): 223.     CrossRef
  • Effects of a Refresher Program for Inactive Nurses on Nursing Professionalism and Nursing Clinical Self-Efficacy
    Mi Ra Han, Smi Choi-Kwon
    Journal of Korean Academy of Nursing Administration.2011; 17(1): 44.     CrossRef
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Development of a Nursing Diagnosis System Using a Neural Network Model
Eun Ok Lee, Mi Soon Song, Myung Ki Kim, Hyeoun Ae Park
Journal of Nurses Academic Society 1996;26(2):281-289.   Published online March 30, 2017
DOI: https://doi.org/10.4040/jnas.1996.26.2.281
AbstractAbstract PDF

Neural networks have recently attracted considerable attention in the field of classification and other areas. The purpose of this study was to demonstrate an experiment using back-propagation neural network model applied to nursing diagnosis. The network's structure has three layers; one input layer for representing signs and symptoms and one output layer for nursing diagnosis as well as one hidden layer. The first prototype of a nursing diagnosis systern for patients with stomach cancer was developed with 254 nodes for the input layer and 20 nodes for the output layer of 20 nursing diagnoses, by utilizing learning data set collected from 118 patients with stomach cancer. It showed a hitting ratio of .93 when the model was developed with 20,000 times of learning, 6 nodes of hidden layer, 0.5 of momentum and 0.5 of learning coefficient. The system was primarily designed to be an aid in the clinical reasoning process. It was intended to simplify the use of nursing diagnoses for clinical practitioners. In order to validate the developed model, a set of test data from 20 patients with stomach cancer was applied to the diagnosis system. The data for 17 patients were concurrent with the result produced from the nursing diagnosis system which shows the hitting ratio of 85%. Future research is needed to develop a system with more nursing diagnoses and an evaluation process, and to expand the system to be applicable to other groups of patients.

Citations

Citations to this article as recorded by  
  • Artificial intelligence, machine learning, and deep learning in women’s health nursing
    Geum Hee Jeong
    Korean Journal of Women Health Nursing.2020; 26(1): 5.     CrossRef
  • A Study on Nursing Diagnoses, Interventions, Outcomes Frequently Used and Linkage to NANDA-NOC-NIC in Major Nursing Departments
    Jong Kyung Kim
    Journal of Korean Academy of Nursing Administration.2010; 16(2): 121.     CrossRef
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Development and Evaluation of the Computerized Nursing Diagnosis/Intervention System for Nutritional and Eliminative Problem
Ji Yeon Lee
Journal of Korean Academy of Nursing 2000;30(4):1078-1087.   Published online March 29, 2017
DOI: https://doi.org/10.4040/jkan.2000.30.4.1078
AbstractAbstract PDF

The purpose of this study was to develop and to evaluate the Computerized Nursing Diagnosis/ Intervention System for Nutritional and Eliminative Problems for clinical application. Each stage was processed based on the System Development Life Cycle. At the Strategy Planning Stage, valid nursing diagnoses and interventions were chosen. At the System Analysis Stage, a nursing diagnosis and intervention flowchart was drawn up. At the System Design Stage, a system was developed based on the flowchart and named the Nursing Diagnosis/Intervention System. The Nursing Diagnosis/Intervention System consisted of the Patient's Basic Information, Patient's Nursing Process, Nursing Process, and Code Registration. Each element in flowchart was coded and made into a database. The System was used and evaluated. A total of 30 cases were collected. After the application, the nurses evaluated the System using a 5 point Likert scale. Every item was scored at three points or more and 13 out of 17 items were scored at four points or more, thus the Nursing Diagnosis/Intervention System that was developed in this study was regarded as a useful one.

Citations

Citations to this article as recorded by  
  • Analysis of Nursing Diagnoses Applied to Emergency Room Patients - Using the NANDA Nursing Diagnosis Classification -*
    Young A Kim, Soon Hee Choi
    Journal of Korean Academy of Fundamentals of Nursing.2015; 22(1): 16.     CrossRef
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Comparison on Nursing Importance and Performance of Nursing Interventions linked to Nursing Diagnoses-focused on 5 NANDA Nursing Diagnoses
Eun Joo Lee, In Hee Choi
Journal of Korean Academy of Nursing 2003;33(2):210-219.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2003.33.2.210
AbstractAbstract PDF
Purpose

The purpose of this study was to identify nursing importance and the performance of nursing interventions linked to five nursing diagnoses and find out core nursing interventions to each of the five nursing diagnosis. The five nursing diagnoses were Pain, Diarrhea, Constipation, Hyperthermia, and Infection: Risk for.

Method

Data was collected from nurses working in four different hospitals. Data were analyzed using mean, SD, and paired t-test to compare difference between importance and performance of each intervention.

Result

In general interventions related to medication, such as Medication Administration: IV, Medication Administration: IM, Medication Administration: Oral, Medication Management were all considered highly important and performed very often regardless of nursing diagnoses. And the level of importance was higher than the performance in most of all the interventions linked to five nursing diagnoses. Only two interventions, Medication Administration and Intravenous (IV) insertion had higher level of performance than importance in the diagnoses of Pain and Diarrhea respectively.

Conclusion

Using the above findings, we now know which intervention should be performed more frequently to solve nursing problems and which interventions are more critically important to nursing diagnosis. This information can be very helpful for developing nursing information system.

Citations

Citations to this article as recorded by  
  • Analysis of Nursing Interventions Performed by Gynecological Nursing Unit Nurses Using the Nursing Interventions Classification
    Sung-Jung Hong, Sung Hee Lee, Hwa Sun Kim
    Korean Journal of Women Health Nursing.2011; 17(3): 275.     CrossRef
  • Analysis on Military Hospital Nursing Records by NANDA, NIC, NOC System
    Myung Ja Kim
    Journal of Korean Academy of Nursing Administration.2010; 16(1): 73.     CrossRef
  • A Study on Nursing Diagnoses, Interventions, Outcomes Frequently Used and Linkage to NANDA-NOC-NIC in Major Nursing Departments
    Jong Kyung Kim
    Journal of Korean Academy of Nursing Administration.2010; 16(2): 121.     CrossRef
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Update on Irritable Bowel Syndrome Program of Research
Margaret Heitkemper, Monica Jarrett, Sang-Eun Jun
J Korean Acad Nurs 2013;43(5):579-586.   Published online October 31, 2013
DOI: https://doi.org/10.4040/jkan.2013.43.5.579
AbstractAbstract PDF
Purpose

This article provides an update and overview of a nursing research program focused on understanding the pathophysiology and management of irritable bowel syndrome (IBS).

Methods

This review includes English language papers from the United States, Europe, and Asia (e.g., South Korea) from 1999 to 2013. We addressed IBS as a health problem, emerging etiologies, diagnostic and treatment approaches and the importance of a biopsychosocial model.

Results

IBS is a chronic, functional gastrointestinal disorder characterized by recurrent episodes of abdominal pain and alterations in bowel habit (diarrhea, constipation, mixed). It is a condition for which adults, particularly women ages 20-45, seek health care services in both the United States and South Korea. Clinically, nurses play key roles in symptom prevention and management including designing and implementing approaches to enhance the patients' self-management strategies. Multiple mechanisms are believed to participate in the development and maintenance of IBS symptoms including autonomic nervous system dysregulation, intestinal inflammation, intestinal dysbiosis, dietary intolerances, alterations in emotion regulation, heightened visceral pain sensitivity, hypothalamic-pituitary-adrenal dysregulation, and dysmotility. Because IBS tends to occur in families, genetic factors may also contribute to the pathophysiology. Patients with IBS often report a number of co-morbid disorders and/or symptoms including poor sleep.

Conclusion

The key to planning effective management strategies is to understand the heterogeneity of this disorder. Interventions for IBS include non-pharmacological strategies such as cognitive behavior therapy, relaxation strategies, and exclusion diets.

Citations

Citations to this article as recorded by  
  • The effects of vitamin D intake and status on symptom severity and quality-of-life in adults with irritable bowel syndrome (IBS): a systematic review and meta-analysis
    Kelly C. Cara, Salima F. Taylor, Haya F. Alhmly, Taylor C. Wallace
    Critical Reviews in Food Science and Nutrition.2024; : 1.     CrossRef
  • The role of intestinal microbiota on pre-eclampsia: Systematic review and meta-analysis
    Tamy Colonetti, Diandra Limas Carmo Teixeira, Antonio José Grande, Maria Laura Rodrigues Uggioni, Jaqueline Generoso, Seeromanie Harding, Ana Rodriguez-Mateos, Peterson Rech, Fabio Rosa Silva, Indianara Toreti, Luciane Ceretta, Maria Inês Rosa
    European Journal of Obstetrics & Gynecology and Reproductive Biology.2023; 291: 49.     CrossRef
  • Golden bifid might improve diarrhea-predominant irritable bowel syndrome via microbiota modulation
    Mei Luo, Qin Liu, Lin Xiao, Li-Shou Xiong
    Journal of Health, Population and Nutrition.2022;[Epub]     CrossRef
  • A Microbial Relationship Between Irritable Bowel Syndrome and Depressive Symptoms
    Nicole B. Perez, Fay Wright, Allison Vorderstrasse
    Biological Research For Nursing.2021; 23(1): 50.     CrossRef
  • Dysbiosis of the Gut Microbiome: A Concept Analysis
    Nicole B. Perez, Caroline Dorsen, Allison Squires
    Journal of Holistic Nursing.2020; 38(2): 223.     CrossRef
  • Irritable bowel syndrome and small intestinal bacterial overgrowth: Assessment with breath test
    LA Costa, TNF Gomes, CU Braga, L Lenz, SJ Miszputen, O Ambrogini
    Archives of Clinical Gastroenterology.2020; : 041.     CrossRef
  • Yoga for Teens With Irritable Bowel Syndrome
    Subhadra Evans, Laura C. Seidman, Kirsten Lung, Beth Sternlieb, Lonnie K. Zeltzer
    Holistic Nursing Practice.2018; 32(5): 253.     CrossRef
  • Prevalence and Factors related to Irritable Bowel Syndrome in University Students
    Jin-Hee Park, Young-Mi Jung, Hye Jin Lee, Ji-Young Seo
    Journal of Korean Academy of Fundamentals of Nursing.2018; 25(4): 282.     CrossRef
  • Irritable Bowel Syndrome
    Kristen Ronn Weaver, Gail D'Eramo Melkus, Wendy A. Henderson
    AJN, American Journal of Nursing.2017; 117(6): 48.     CrossRef
  • Arabinogalactan and fructooligosaccharides improve the gut barrier function in distinct areas of the colon in the Simulator of the Human Intestinal Microbial Ecosystem
    David Daguet, Iris Pinheiro, An Verhelst, Sam Possemiers, Massimo Marzorati
    Journal of Functional Foods.2016; 20: 369.     CrossRef
  • Efficacy and Safety of High Specific Volume Polysaccharide—A New Type of Dietary Fiber for Treatment of Functional Constipation and IBS-C
    Liang CONG, Jing-Ting MA, Zhen-Jing JIN, Li-Wei DUAN, Wei-Ping SU, Jing ZHENG, Ling-Juan ZHANG, Jia XU, Dong-Fu LI
    Journal of Nutritional Science and Vitaminology.2015; 61(4): 326.     CrossRef
  • Tong Xie Yao Fang relieves irritable bowel syndrome in ratsviamechanisms involving regulation of 5-hydroxytryptamine and substance P
    Yue Yin, Lei Zhong, Jian-Wei Wang, Xue-Ying Zhao, Wen-Jing Zhao, Hai-Xue Kuang
    World Journal of Gastroenterology.2015; 21(15): 4536.     CrossRef
  • Aspects of the non-pharmacological treatment of irritable bowel syndrome
    Elsa Maria Eriksson
    World Journal of Gastroenterology.2015; 21(40): 11439.     CrossRef
  • Early Adverse Life Events and Resting State Neural Networks in Patients With Chronic Abdominal Pain
    Arpana Gupta, Lisa Kilpatrick, Jennifer Labus, Kirsten Tillisch, Adam Braun, Jui-Yang Hong, Cody Ashe-McNalley, Bruce Naliboff, Emeran A. Mayer
    Psychosomatic Medicine.2014; 76(6): 404.     CrossRef
  • So-Eum Type as an Independent Risk Factor for Irritable Bowel Syndrome: A Population-Based Study in Korea
    Seung Ku Lee, Dae Wui Yoon, Hyeryeon Yi, Si Woo Lee, Jong Yeol Kim, Jin Kwan Kim, Jeong Hwa Hong, Chol Shin
    The Journal of Alternative and Complementary Medicine.2014; 20(11): 846.     CrossRef
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