Biomedical subjects

Young Sook Kwon

Publications and source records attributed to Young Sook Kwon.

3 recordsLinked to original sources

PubMed2006

[The effects of Dogbi(ST35) & Sulan moxibustion on knee joint pain, range of motion and discomfort during ADL in the aged].

PURPOSE: The purpose of this research was to test the effects of ST35 & Sulan moxibustion on knee joint pain, range of motion, and discomfort during Activies of Daily Living (ADL) in elderly with knee joint pain. METHOD: A nonequivalent control group pre-post test research design was used. Thirty four elderly who had knee joint pain were studied. Of them, sixteen were in the experimental group and eighteen the control group. The instruments used for this study were NRS, goniometer, and a modified ADL questionnaire developed by Lee. RESULT: The pain scores of right & left knee joint after moxibustion were significantly different between the experimental group and the control group (Right: F=26.27, p=0.000, Left: F=20.77, p=0.000). Right and left knee ROM scores were significantly different between the experimental group and the control group after moxibustion (Right: F=10.74, p=0.003, Left: F=9.239, p=0.005). Discomfort during ADL scores were significantly different between the experimental group and the control group after moxibustion (F= 32.31, p=0.000). CONCLUSION: It is necessary that nurses provide the elderly with knee joint pain with moxibustion to reduce joint pain and to increase knee ROM as an alternative therapy.

Activities of Daily Living↗

PubMed2006

[Development and application of an online alternative therapy and health promotion class].

PURPOSE: This study was to develop an online "alternative therapy and health promotion" class for university students and to evaluate its changes. METHOD: The online class was developed based on the Instructional Systems Development (ISD) model and model of Web-Based Instruction (WBI) developmental process. This was a quasi- experimental, one group pretest-posttest design. The subjects of this study were 130 students in 3 universities, and they were provided the cyber class for 16 weeks. Data was analyzed by descriptive and plural answer statistics, and paired t-test. RESULTS: The cyber class was developed in five steps: analysis, design, data collection and reconstruction, programming and publishing, and evaluation. The results of program evaluation were positive, which included learning 3.47, system 3.57, and learning satisfaction 3.64 on the scale of 5. The posttest scores of cognition and reliability of alternative therapy were higher than pretest scores. The posttest scores of health promoting lifestyle (t=-5.051, p=.000) and perceived health status (t=2.979, p=.003) were significantly higher than those of the pretest. CONCLUSION: These results suggest that the cyber class is a positive method in increasing a cognition, reliability of alternative therapy, and is effective to improve a health promotion lifestyle and perceived health status for the university students.

Complementary Therapies↗

PubMed2006

Knowledge discovery in nursing minimum data set using data mining.

PURPOSE: The purposes of this study were to apply data mining tool to nursing specific knowledge discovery process and to identify the utilization of data mining skill for clinical decision making. METHODS: Data mining based on rough set model was conducted on a large clinical data set containing NMDS elements. Randomized 1,000 patient data were selected from year 1998 database which had at least one of the five most frequently used nursing diagnoses. Patient characteristics and care service characteristics including nursing diagnoses, interventions and outcomes were analyzed to derive the meaningful decision rules. RESULTS: Number of comorbidity, marital status, nursing diagnosis related to risk for infection and nursing intervention related to infection protection, and discharge status were the predictors that could determine the length of stay. Four variables (age, impaired skin integrity, pain, and discharge status) were identified as valuable predictors for nursing outcome, relieved pain. Five variables (age, pain, potential for infection, marital status, and primary disease) were identified as important predictors for mortality. CONCLUSIONS: This study demonstrated the utilization of data mining method through a large data set with standardized language format to identify the contribution of nursing care to patient's health.

Adult↗