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A Concept Analysis of Nurses’ Self-Management Competency

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 4 (2025.12)바로가기
  • 페이지
    pp.493-499
  • 저자
    Kim Mi Ran
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A481217

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원문정보

초록

영어
This study clarifies the concept of nurses’ self-management competency by identifying its attributes, antecedents, and consequences, and proposes a conceptual basis applicable to nursing education and clinical practice. Using Walker and Avant’s eight-step concept analysis (2019), we reviewed studies published from 2010 to 2025 across PubMed, CINAHL, RISS, KISS, and DBpia with the keywords “self-management,” “self-care,” “competency,” and “nurse.” Sixty-eight records were screened; twenty-eight met inclusion criteria for analysis. Results: Five defining attributes were derived—(1) self-awareness, (2) self-regulation, (3) emotional control, (4) resilience, and (5) self-development. Antecedents comprised personal factors (e.g., intrinsic motivation, self-efficacy, health literacy) and organizational factors (e.g., leadership support, training, work environment, feedback culture). Consequences included reduced presenteeism and burnout, improved job satisfaction and organizational commitment, increased health-promoting behaviors, and a strengthened patient-safety culture. Self-management competency is a core capability for sustaining professional performance among nurses. Systematic programs at educational and organizational levels are needed to enhance this competency.

목차

Abstract
1. Introduction
2. Methods
3. Results
3.1 Conceptual scope
3.2 Defining attributes
3.3 Antecedents
3.4 Consequences
3.5 Empirical referents
3.6 Concept integration: HOC Framework
4. Discussion
5. Conclusion
References

키워드

nurse; self-management competency; self-awareness; resilience; self-regulation; concept analysis; patient safety

저자

  • Kim Mi Ran [ Associate professor, College of Nursing, Konyang University, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 14 Number 4

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