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Featured researches published by Sunghee Kim.


Journal of Korean Public Health Nursing | 2012

The Effect of Sexual Education on Sex Knowledge & Attitude in Elementary School Students

Shin-Jeong Kim; Jung Eun Lee; Sunghee Kim; Kyung-Ah Kang

Purpose: The purpose of this study was to identify the effect of sexual education on sex knowledge and attitude in elementary school students. Method: Questionnaire data were collected from 4 elementary schools located in Y-gu, Seoul. Final participants included 512 older school-age children. Results: There were significant differences in the degree of sex knowledge (t


Journal of Child Health Care | 2016

The effects of massage therapy on physical growth and gastrointestinal function in premature infants: A pilot study.

HyeJeong Choi; Shin-Jeong Kim; Jina Oh; Myung-Nam Lee; Sunghee Kim; Kyung-Ah Kang

To promote the growth and development of premature infants, effective and tender care is required in neonatal intensive care units (NICUs). The purpose of this study was to test the potential effects of massage therapy on increasing physical growth and promoting gastrointestinal function in premature infants. Twenty subjects were divided into two groups in the NICU of one general hospital located in South Korea. The experimental group (n = 10) were given massage therapy and the control group (n = 10) received routine care. Massage therapy was performed twice daily for 14 days, for 15 minutes per session. In the physical growth, height and chest circumference were significantly increased in the experimental group. In assessing gastrointestinal function, frequency of pre-feed gastric residual was significantly decreased and numbers of bowel movements were significantly increased in the experimental group. This study showed massage therapy has the potential effects on increasing physical growth and gastrointestinal function in premature infants. The massage in the NICU might be utilized as a part of developmental care, but more research needs to be done. NICU nurses need to be trained in massage therapy techniques to provide more effective clinical care for premature infants.


Nursing & Health Sciences | 2016

Effectiveness of simulation with team-based learning in newborn nursing care.

Kyung-Ah Kang; Shin-Jeong Kim; Jina Oh; Sunghee Kim; Myung-Nam Lee

This study determines the effect of simulation with team-based learning (TBL) on newborn nursing care. This randomized controlled trial included 74 nursing students from one university located in Seoul, South Korea. Participants were categorized into two groups according to educational modality: one group involved both simulation and TBL, and the other involved simulation alone. Learning attitudes, academic achievement, and simulation performance were examined to assess effectiveness. The mean difference in learning attitudes between the two groups was non-significant. Low academic achievement differed significantly between the two groups (t = 3.445, P = 0.002). There was no significant difference in mean scores for simulation performance between the two groups. In this study, simulation with TBL was effective in improving learning outcomes. In current nursing education, various learning methods are employed within complex nursing situations and require flexibility and problem-solving approaches.


Nurse Education Today | 2016

Effects of nursing process-based simulation for maternal child emergency nursing care on knowledge, attitude, and skills in clinical nurses

Sunghee Kim; Gisoo Shin

BACKGROUND Since previous studies on simulation-based education have been focused on fundamental nursing skills for nursing students in South Korea, there is little research available that focuses on clinical nurses in simulation-based training. Further, there is a paucity of research literature related to the integration of the nursing process into simulation training particularly in the emergency nursing care of high-risk maternal and neonatal patients. PURPOSES The purpose of this study was to identify the effects of nursing process-based simulation on knowledge, attitudes, and skills for maternal and child emergency nursing care in clinical nurses in South Korea. PARTICIPANTS Data were collected from 49 nurses, 25 in the experimental group and 24 in the control group, from August 13 to 14, 2013. METHODS This study was an equivalent control group pre- and post-test experimental design to compare the differences in knowledge, attitudes, and skills for maternal and child emergency nursing care between the experimental group and the control group. The experimental group was trained by the nursing process-based simulation training program, while the control group received traditional methods of training for maternal and child emergency nursing care. RESULTS The experimental group was more likely to improve knowledge, attitudes, and skills required for clinical judgment about maternal and child emergency nursing care than the control group. Among five stages of nursing process in simulation, the experimental group was more likely to improve clinical skills required for nursing diagnosis and nursing evaluation than the control group. CONCLUSION These results will provide valuable information on developing nursing process-based simulation training to improve clinical competency in nurses. Further research should be conducted to verify the effectiveness of nursing process-based simulation with more diverse nurse groups on more diverse subjects in the future.


Journal of the Association of Nurses in AIDS Care | 2015

Meaning of Care for Terminally Ill HIV-infected Patients by HIV-infected Peer Caregivers in a Simulation-based Training Program in South Korea

Sunghee Kim; Gisoo Shin

&NA; The purpose of this study was to develop a simulation‐based training program for people living with HIV (PLWH) as peer caregivers who would take care of terminally ill, HIV‐infected patients. We used qualitative research methods and standardized patients to explore the meaning of caring for patients as peer caregivers. Study participants included 32 patients registered as PLWH at the South Korea Federation for HIV/AIDS. The meanings of peer caregiving were categorized into four dimensions: physical, psychological, relational, and economic. Our study had benefits in knowledge acquisition for caregivers as well as care recipients, empathy with HIV‐infected care recipients, improvement in self‐esteem and social participation, and financial self‐sufficiency to enable independent living for caregivers. The simulation training program for PLWH peer caregivers for terminally ill HIV‐infected patients demonstrated value, for both PLWH caregivers and terminally ill HIV‐infected patients in South Korea, to improve the quality of care.


Simulation in healthcare : journal of the Society for Simulation in Healthcare | 2014

Board #134 - Research Abstractthe Effect of Hybrid Learning with Nuring Students’ Clinical Competency: Simulation Combined with Problem-based Learning (submission #8610)

Sunghee Kim; Kyung-Ah Kang; Shin-Jeong Kim; Myungname Lee; Jina Oh

Hypothesis In most nursing curricula, simulation and PBL (problem-based learning) are used solely and separately as teaching and learning tools. Nurse educators should facilitate complex clinical experiences and utilize more complex and mixed education strategies to enhance nursing students’ clinical reasoning in order to improve the comprehensiveness and accuracy of nursing students’ clinical judgment. In the present study, simulation is combined with PBL as a hybrid framework or a learning strategy including lectures, discussion using problem-based learning modules, self-directed learning, and real situation practice with human patient simulators [HPS] (Lee et al., 2009). Moreover, there is no research in pediatric nursing literature that examines the effect of hybrid learning with combined simulation and problem-based learning. Hence, the purpose of this study is to test students’ clinical competency to assess the effectiveness of the combined teaching method. Methods The bronchiolitis module in the present study was designed based on the PBL and Simulation Model Framework (Barrows and Tamblyn, 1980; Jeffries, 2005). The Hybrid learning combining simulation with PBL was used to assess clinical competency including knowledge, confidence, and students’ satisfaction. This is a comparison study with three education modalities: PBL group (experimental group 1, E1), simulation with PBL group (experimental group 2, E2), and control group (C). We used descriptive, paired t-test statistics, one-way ANOVA, and post-hoc test (Duncan test) for data analysis using SPSS version 18.0 program. A convenient sample of 195 senior nursing students from three nursing schools located in Seoul and Chuncheon, South Korea participated in this study from Sep 1st to Dec 10th, 2013. Results There were no statistically significant differences between the groups in prior simulation experiences (&khgr;2=.396, p=.529), and baseline knowledge (7.80±1.11 versus 7.79±1.99, t=.020, p=.984). There were significant difference in the mean score of knowledge difference (post-pre) among E1 (1.42±2.49), E2 (1.77±2.11), and C (0.44±2.74) (F=14.718, p<.001). There were significant difference in the mean score of confidence among E1 (3.69±0.30), E2 (3.57±0.33), and C (3.38±0.44) (F=12.693, p<.001). There were significant differences in the mean satisfaction total score among E1 (4.67±0.39), E2 (4.17±0.53), and C (3.48±0.62) (F=93.471, p<.001). Conclusion This result could provide a much-need template or starting point for educators who desire to introduce simulation combined with PBL as a teaching-learning strategy in pediatric nursing courses. It is also necessary to monitor the effectiveness of combined simulation with PBL education. New approaches and strategies combined simulation with PBL for teaching critical thinking, clinical assessment, effective communication, and technical skills will be required to meet the demands of the new roles and responsibilities faced by nurse educators and their students. References 1. Barrows, HS, Tamblyn RM. Problem based learning. An approach to medical education. New York: Springer; 1980. 2. Jeffries PR. Simulation in Nursing Education: From Conceptualization to Evaluation. NY: National League of Nursing; 2007. 3. Jeffries P R, Norton B. Selecting Learning Experiences to Achieve Curriculum Outcomes. In D. M. Billings & J. A. Halstead (eds.), Teaching in Nursing: A Guide for Faculty (2nd ed., pp. 187-212). Elsevier, MO; 2005. 4. Lasater K. Clinical judgment development: Using simulation to create an assessment rubric. Journal of Nursing Education 2007; 46: 496-503. 5. Lee WS. Cho KC, Yang SH, Roh YS, Lee GY. Effects of problem-based learning combined with simulation on the basic nursing competency of nursing students. Journal of Korean Academy Fundamental Nursing 2009; 16(1): 64-72. 6. Levett-Jones T, McCoy M, Lapkin S, Noble D, Hoffman K, Dempsey J, eds. The development and psychometric testing of the satisfaction with simulation experience scale. Nurse Education Today 2011; 31: 705-710. Disclosures None


Simulation in healthcare : journal of the Society for Simulation in Healthcare | 2013

Board 182 - Program Innovations Abstract Development And Evaluation Of Simulation-Based Fever Management Module For Children With Febrile Convulsion (Submission #479)

Sunghee Kim; Shin-Jeong Kim; Jina Oh; Kyung-Ah Kang

Introduction/Background Simulation-based education gives students an opportunity to lessen the gap between academic and clinical settings, learn core nursing skills and enhance self-confidence through learning. Student performance evaluation is a very important step during simulation-based practice.23 Although a module may be well developed, a standardized evaluation checklist is essential for confirming the effectiveness of simulation-based practice. To enhance the effectiveness of simulations in nursing education, a reliable and valid evaluation instrument is needed to measure student performance. Furthermore, a valid instrument is required for the simulation to be considered a formalized implementation and evaluation tool. Fever is a common symptom found in children with disease in pediatric care units. Fever in children has been acknowledged as a common occurrence in pediatric nursing. Students may frequently encounter children with febrile convulsions in a clinical setting. Simulation modules may provide a comprehensive understanding of fever and fever management. However, there is no evaluation checklist to measure systematically simulation-based performance of students dealing with febrile convulsions. Furthermore, students satisfaction with the simulation is important for meaningful learning and facilitating active participation.22 Therefore, a simulation-based fever management module for children with febrile convulsions is needed, since this is one of the most frequent problems experienced by a student in a clinical nursing setting. This study focuses on pediatric nursing education and nursing practice. The following research issues were addressed: a) to develop a simulation-based fever management module for pediatric febrile convulsions and b) to evaluate students performances and satisfaction. Methods The development of the simulation-based fever management module and evaluation checklist for treating children with febrile convulsions was a three-stage process. Stage I: developing the simulation-based module; Stage II: developing programs for nursing students; and Stage III: evaluating the simulation-based module and validating the dimensions.The module included an algorithm with the scenario, evaluation checklist and debriefing plan. For scenario development, we collected information on nursing care from child health nursing textbooks and nursing journals. This scenario was based on a real febrile convulsion case that had occurred in a general hospital. The evaluation checklist focused on the attainment of nursing goals based on nursing processes rather than outcomes. The categories were divided into assessment, problem identification, intervention and evaluation. The evaluation checklist score was based on a 4-point Likert scale. The higher the evaluation checklist score, the higher the performance rating. The researchers developed the following debriefing questions: a) What did you learn?; b) How did you feel?; c) What did you do?; d) What were your strong and weak points? Debriefing was conducted at the end of the study and took about 20-30 minutes per group of 3-4 students. Students’ satisfaction with the clinical simulation was measured using the Satisfaction of Simulations Experience [SSE] scale developed by Levett-Jones and colleagues (2011). This scale consists of 18 items: debrief and reflection (9 items), clinical reasoning (5 items), and clinical learning (4 items). Each item was scored on a 5-point Likert scale. Higher scores indicated higher satisfaction. The target population for this study included undergraduate students. One hundred forty-seven nursing students were selected from two universities located in Seoul, South Korea. Data were collected from April 29, 2013 to June 14, 2013. Each simulation lasted 20-30 minutes, with both the simulation and simulation class taking about two hours per group. In addition, an SSE was used to measure student satisfaction with the simulation. Collected data were analyzed using SPSS 18.0 for Windows to calculate descriptive statistics for the evaluation checklist and the SSE. Debriefing data were analyzed using the Matrix Method. A scenario script was formulated to treat the patient’s health issues. The algorithm proceeded as follows: identification of patients’ condition (Step I), nursing intervention (Step II), and outcome evaluation and feedback (Step III). To test the internal consistency and reliability of the evaluation checklist and each subscale, Cronbach’s alpha coefficient was measured. Cronbach’s alpha for the evaluation checklist was .865; each subcategory ranged from .706 to .808. The evaluation checklist consisted of four categories based on nursing processes: assessment, problem identification, intervention and evaluations. The total mean score of the evaluation checklist was 2.67 (± .32). The mean score of each category was as follows: assessment, 2.35 (± .37); problem identification, 2.94 (± .46); intervention, 2.89 (± .40); and evaluation, 2.82 (± .56). The categories were as follows: non-technical skill (30.7%), self-efficacy (29.8%), critical thinking (21.8%), and technical skill (17.8%). The most frequent categories, in order, were teamwork and collaboration (n = 27), reflection (n = 26), situation recognition (n = 21), core nursing skills (n = 21), emotional support (n = 21), and therapeutic communication (n = 21). The total mean score of SSE was 4.48 (± .42). The mean score for debrief and reflection was 4.55 (± .43), clinical reasoning was 4.39 (± .50), and clinical learning was 4.43 (±.48). Results: Conclusion This study was able to develop more reliable algorithms and evaluation tools for fever management in nursing care. This study identified a nursing care module for children with febrile convulsions. The implications for nursing education include determining how nursing students care for patients using critical thinking and nursing skills. This study also provides a blueprint for simulation-based practice for both nursing educators and nursing students. Furthermore, this study recommends developing an evaluation checklist for other nursing education programs. A large sample size in more than one geographic location will provide valid and reliable data for this module and the evaluation checklist. In addition, this study highlights the need for the full integration of simulations into nursing curricula. References 1. Abdo, A., Ravert, P. 2006. Student satisfaction with simulation experiences. Clinical Simulation in Nursing Education, 2, e13-e16. 2. Berragan, L. 2011. Simulation: an effective pedagogical approach for nursing? Nurse Education Today, 31, 660-663. 3. Bland, A. J., Topping, A., Wood, B. 2011. A concept analysis of simulation as a learning strategy in the education of undergraduate nursing students. Nurse Education Today, 31, 664-670. 4. Bremner, M., Aduddell, K., Bennett, F., VanGeest, J. 2006. The use of human patient simulators: best practice with novice nursing students. Nurse Educator, 31 (4), 170-174. 5. Cant, R. P., Cooper, S. J. 2010. Simulation-based learning in nurse education: systematic review. Journal of Advanced Nursing, 66 (1), 3-15. 6. Cioffi, J. 2001. Clinical simulations: Development and validation. Nurse Education Today, 21, 477-486. 7. Costello, M. 2011. The use of simulation in medication calculation instruction: a pilot study. Nurse Educator, 36 (5), 181-182. 8. Garrad, J. 2007. Health Sciences Literature Review Made Easy: The Matrix Method. 2nd ed. Jones and Bartlett, Sudbury, MA. 9. Gillan, P. C., Parmenter, G., Riet, P. J., Jeong, S. 2012. The experience of end of life care simulation at rural Australian university. Nurse Education Today, 32, 319-329. 10. Hockenberry, M. J. 2005. Wong’s Essentials of Pediatric Nursing. 7th ed. Elsevier Mosby, St. Louis, MO. 11. Jeffries, P. R. 2007. Simulation in Nursing Education: From Conceptualization to Evaluation. National League of Nursing, NY. 12. Jeffries, P. R., Norton, B. 2005. Selecting Learning Experiences to Achieve Curriculum Outcomes. In D. M. Billings & J. A. Halstead (eds.), Teaching in Nursing: A Guide for Faculty (2nd ed., pp. 187-212). Elsevier, MO. 13. Potts, N. L., Mandleco, B. L. 2011. Pediatric Nursing: Caring for Children and Their Families. 3rd ed. Delma Cengage Learning; NY. 14. Levett-Jones, T., McCoy, M., Lapkin, S., Noble, D., Hoffman, K., Dempsey, J., Arthur, C., Roche, J. 2011. The development and psychometric testing of the satisfaction with simulation experience scale. Nurse Education Today, 31, 705-710. 15. Lichtman, M. 2006. Qualitative Research in Education: A User’s Guide. Sage, Thousand Oaks, CA. 16. Lynn, M. R. 1986. Determination and quantification of content validity. Nursing Research, 35 (6), 382-385. 17. Moule, P. 2011. Simulation in nurse education: Past, present and future. Nurse Education Today, 31, 645-646. 18. Murphy, J. I. 2013. Using plan do study act to transform a simulation center. Clinical Simulation in Nursing, 9 (7), e257-e264. 19. Nehring, W. M., Ellis, W. E., Lashley, F. R. 2001. Human patient simulators in nursing education: an overview. Simulation & Gaming, 32, 194-204. 20. Oh, J., Kang, J., De Gagne, J. C. 2012. Learning concepts of cinenurducation: an integrative review. Nurse Education Today, 32, 914-919. 21. Poirier, M., Davis, P., Gonzalez-Del Rey, J., Monroe, K. 2000. Pediatric emergency department nurses’ perspectives on fever in children. Pediatric Emergency Care, 16 (1), 9-12. 22. Prion, S. 2008. A practical framework for evaluating the impact of clinical simulation experience in prelicensure nursing education. Clinical Simulation in Nursing, 4, e69-e78. 23. Reed, S. J. 2010. Designing a simulation for student evaluation using Scriven’s key evaluation checklist. Clinical Simulation in Nursing, 6 (2), e41-e44. 24. Roh, Y. S., Lee, W. S., Chung, H. S., Park, Y. M. 2013. The effects of simulation-based resuscitation training on nurses’ self-efficacy and satisfaction. Nurse Education


Journal of Korean Academy of Child Health Nursing | 2011

Perception of Child Day Care Center Teachers on Issues and Needs in Child Health Management

Shin Jeong Kim; Jung Eun Lee; Soon Ok Yang; Kyung Ah Kang; Eun Yong Chang; Kyung Sook Oh; Won Kyung Seo; Seung Hee Lee; Sunghee Kim


Journal of Korean Academy of Child Health Nursing | 2011

Development and Evaluation of a Child Health Care Protocol for Child Day Care Center Teachers

Shin-Jeong Kim; Soon-Ok Yang; Seung-Hee Lee; Jung Eun Lee; Sunghee Kim; Kyung-Ah Kang


Nurse Education Today | 2015

Comparison of knowledge, confidence in skill performance (CSP) and satisfaction in problem-based learning (PBL) and simulation with PBL educational modalities in caring for children with bronchiolitis.

Kyung-Ah Kang; Sunghee Kim; Shin-Jeong Kim; Jina Oh; Myungnam Lee

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Myung-Nam Lee

Kangwon National University

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