Journal of Korean Academic Society of Home Health Care Nursing (가정간호학회지)

Korean Academic Society of Home Health Care Nursing (한국가정간호학회)
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Development of Infection Control E-learning Training Program for Preventing Emerging Infectious Diseases for Long-term Care Facility Care Workers

장기요양시설 요양보호사 신종감염병 예방 원격 감염관리 교육 프로그램 개발

  • Received : 2022.11.21
  • Accepted : 2022.12.23
  • Published : 2022.12.31
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Abstract

Purpose: This study aimed to develop an infection control e-learning training program for long-term care facility care workers to prevent emerging infectious diseases and evaluate its effectiveness. Method: The program was developed using the analysis design development implementation evaluation (ADDIE) model. The effectiveness of the program was evaluated for 30 care workers. The knowledge and performance of the care workers before and after the program were analyzed by a t-test. Results: In the analysis stages, a literature review on infection control, knowledge and performance of infection control, and education needs was performed, and focus group interviews with ten care workers were conducted. In the design stage, education topics, educational content, and educational methods were selected for the program. A video was produced centered on eight themes. In the development stage, a system for education was developed, and each topic was uploaded. In the implementation stage, the program was applied to 30 care workers, and a questionnaire was administered. In the program's final evaluation, there was a significant difference in infection control knowledge (t=3.06, p=.005), and there was no significant difference in infection control performance. Conclusion: In this study, the necessary topics were finally selected by quantitatively and qualitatively analyzing the educational needs of care workers taking care of the elderly in long-term care facilities. It is necessary to understand the long-term effect and the degree of performance of the observation method in the future.

Keywords

Acknowledgement

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2021R1F1A1045448)

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