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      • KCI등재

        Health Promotion Behavior and Health-related Quality of Life by Acculturation Levels among Chinese University Students in Korea

        Sun Jung Kim(김선정),Kyongon Choi(최경온) 한국콘텐츠학회 2017 한국콘텐츠학회논문지 Vol.17 No.8

        본 연구는 재한 중국 유학생의 문화적응 상황 하에서 건강증진행위와 건강관련 삶의 질의 관계를 파악해 보고자 하였다. 서울 및 수도권 소재 10개 대학의 학부 및 대학원 석/박사 과정에 속해있는 총 395명의 중국인 유학생들이 문화적응도 및 건강증진행위와, 건강관련 삶의 질 SF-12 도구를 이용한 자가보고식 설문조사에 참여해주었다. 그 결과 문화적응도가 낮은 유학생들은 건강증진행위가 신체적 삶의 질 점수에 크게 영향을 미치고 있는 것으로 나타났으며, 문화적응도가 높은 경우 건강증진행위가 정신적 삶의 질에 큰 영향을 주는 것으로 나타났다. 이는 문화적응도가 건강증진행위와 삶의 질의 관계에서 통제요인으로 작용할 수 있다는 결과이다. 그러므로 재한 중국유학생들의 건강증진행위와 삶의 질을 개선할 수 있는 중재 프로그램을 개발할 경우 문화적응도를 함께 고려하면 프로그램의 효과를 극대화시킬 수 있는 방법을 찾는데 도움이 될 것으로 사료된다. This study was to identify the relationship between health promoting behaviors and health related quality of life at acculturation environment of Chinese international students in Korea. From November 2010 to December 2011, 395 Chinese international students in undergraduate, masters or doctorate courses from 10 universities and graduate schools in Seoul and vicinity participated in self-report survey of the acculturation level, the health promoting behaviors and SF-12, the health related quality of life. The data of 395 students were classified to 3 groups based on the acculturation level. The low level group showed the health promoting behaviors strongly influence the physical component score of quality of life. As the acculturation level increased, the health promoting behaviors closely affected to the mental health-related quality of life. The results indicated that the acculturation level may be control variable to define the relationship between the health promoting behaviors and the health-related quality of life.

      • KCI등재

        간호대학생들의 약물용량계산 능력을 키우기 위한 사례 기반의 이러닝 프로그램 개발 및 검증

        김선정(Sun Jung Kim),최경온(Kyongon Choi) 대한인간공학회 2021 大韓人間工學會誌 Vol.40 No.6

        Objective: To understand doctors" order for medication, nurses must have strong ability to calculate medication. This study is to develop case-based E-learning program to help nursing students to study medication and dosage calculation and later, to minimize medication errors for patients" safety. Background: Medication error is one of the major threats to patient safety. To prevent errors, nursing students must fundamentally have drug calculation capabilities before graduation. However, due to the limited time, nursing students have a few opportunities to learn basic dose calculation, not the real cases that they would face at the hospital after graduation. There is a huge gap between what hospital expects from new nurses and what collage teaches. Method: The most common ADDIE model of the Institutional Systems Design (ISD) to develop and apply the E-learning program to enhance the ability of nursing students to calculate drug doses. Clinical field experts and nursing professors who have worked in the general hospital ward for more than 10 years conducted a demand analysis. They selected the most common medication calculation algorithms, prescription formats, and doctors" orders. The program is designed to create problems by artificial intelligence with various calculation algorithms, forms, and difficulties based on the student"s understanding and calculation abilities, to guide the most efficient path to understand the subjects. Results: The content evaluation of the e-learning program was conducted by an independent expert group of clinical nurses and supervisors, and the nursing professors who has enough clinical experiences as nurses. They evaluated the programs by eight items, including scenario diversity, field coverage, and academic achievement, etc. The field expert group scored 3.9 points and the professor group scored 4.2 points of 5 points Likert scale. In the evaluation of the learning effect, 76 third-year nursing students were randomly divided into 2 groups (experimental group and control group), 38 subjects each. A Total three tests were conducted, including pretest before the study, the 1<SUP>st</SUP> post-test after 30 days of study, and a 2nd post-test after 6 months later. While no difference between the two groups in the pre-test before learning, the first post-test averaged 17.5 right answers in the experimental group and 14.4 in the control group. After 6 months, the second post-test averaged 16.7 right answers in the experimental group and 12.6 in the control group, showing statistically significant differences in both the first and second post-test. Conclusion: To help the nursing students have strong medication calculation abilities, this study designed and verified a web-based medication calculation e-learning program to minimize medication errors, which account for a sizable portion of medical accidents that threaten patient safety. As a result, the developed e-learning program could verify the superior learning effect and the long-term calculation ability persistence effect rather than the traditional printed textbooks and workbooks-oriented learning methods. In the future, it is necessary to continuously develop a scenario for calculating drug doses in actual medical situations and expand it to a medication nursing capability simulation platform that can learn throughout the medication process, such as understanding doctor prescriptions, drug inventory, and medication methods. Application: This study can be used as basic insight for the development of a medical learning simulation platform.

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