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Korean Society of Muscle and Joint Health (대한근관절건강학회)
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Concept Analysis of Digital Health Literacy

디지털 헬스 리터러시 개념분석

  • Hwang, Minhwa (College of Nursing, Seoul National University) ;
  • Park, Yeon-Hwan (College of Nursing.The Research Institute of Nursing Science, Seoul National University)
  • 황민화 (서울대학교 간호대학) ;
  • 박연환 (서울대학교 간호대학.간호과학연구소)
  • Received : 2021.11.02
  • Accepted : 2021.12.01
  • Published : 2021.12.31
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Abstract

Purpose: To define the concept of digital health literacy and identify its attributes. Methods: Walker and Avant's approach was employed for concept analysis. Attributes, antecedents, consequences, and the definition of digital health literacy were derived from a review of 28 studies. Results: Digital health literacy was identified to possess the following five attributes: health information seeking, health information processing, health information communication, health-related knowledge translation, and utilizing digital technology. Basic literacy skills, health concerns, motivation to use technology for health information, and access to digital technologies were all antecedents of the concept. The consequences of the concept were health behaviors, patient engagement, health status, and quality of life. Digital health literacy is the ability to seek relevant health information utilizing digital technology to solve health problems and improve quality of life. Furthermore, it refers to the translation of health-related knowledge obtained through health information processing-finding, understanding, and evaluating health information and health information communication-into the context in which individual and social factors interact. Conclusion: This study presented a new definition of digital health literacy that goes beyond existing internet-based eHealth literacy, by incorporating the context of emerging digital technologies. This proposed definition can serve as a foundation for the development of instruments and educational programs to improve individuals' digital health literacy.

Keywords

Acknowledgement

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2021R1A2C 2006222).

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