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간호사의 임상적 의사결정능력 관련 요인

Factors Affecting Nurses' Clinical Decision-Making Ability

  • 오선영 (강남세브란스병원) ;
  • 석소현 (경희대학교 간호과학대학 간호학과) ;
  • 구민경 (대진대학교 보건간호대학 간호학과)
  • Oh, Sunyoung (Gangnam Severance Hospital) ;
  • Sok, Sohyune (Department of Nursing, College of Nursing Science, Kyung Hee University) ;
  • Gu, Minkyung (Department of Nursing, College of Health Sciences, Daejin University)
  • 투고 : 2024.09.20
  • 심사 : 2024.11.15
  • 발행 : 2024.11.30

초록

Purpose: This study aims to identify factors related to nurses' clinical decision-making ability. Methods: This study adopted a survey design using questionnaires targeting 163 nurses working at a university hospital in Seoul. Data were analyzed using hierarchical multiple regression analysis, Pearson correlation coefficients, independent t-test, and analysis of variance ANOVA. Results: Research showed that factors related to nurses' clinical decision-making ability were age, work type, clinical career, number of patients in charge, professional self-concept, job attachment, and nursing work performance. The regression model was significant and the explanatory power of the model was 75%. Conclusion: Based on the results, we propose future research to identify various factors according to the clinical decision-making ability of nurses in each department, considering the characteristics of domestic hospitals, and to develop a program that can be specifically designed and verified.

키워드

참고문헌

  1. Berman A, Snyder SJ, Levett-Jones T, Dwyer T, Hales M, Harvey N et al. Kozier and Erb's Fundamentals of Nursing. 4th ed. Australia: Melbourne; 2018. pp. 191-258.
  2. Oh SY. Development of clinical decision-making ability scale for hospital nurses in Korea [dissertation]. Seoul: Kyunghee University; 2023. pp. 1-167.
  3. Park MK, Kim SK. Structural equation modeling on clinical decision making ability of nurses. Journal of Korean Academy of Nursing. 2019;49(5):601-12. https://doi.org/10.4040/jkan.2019.49.5.601
  4. Oh SY, Gu MK, Sok SH. A concept analysis of nurses' clinical decision making: Implications for Korea. International Journal of Environmental Research Public Health. 2022;19(6):3596. https://doi.org/10.3390/ijerph19063596
  5. Park SH. Impact of nursing professional self-concept, clinical decision making ability, critical thinking disposition, professional autonomy of clinical nurse's. Journal of the Korea Entertainment Industry Association. 2015;9(4):325-34.
  6. Choi SM, Lee SJ. Validity and reliability of the Korean version of the job embeddedness for Korean nurses. Journal of the Korean Data Analysis Society. 2017;19(4):2145-57. https://doi.org/10.37727/jkdas.2017.19.4.2145
  7. Kim SH, An HG, Lee JM. A predictive model on turnover intention of nurses in small-medium sized hospitals. Journal of the Korean Data Analysis Society. 2017;19(1):513-25. https://doi.org/10.37727/jkdas.2017.19.1.513
  8. Jeon JH, Yom YH. Role of empowerment and emotional intelligence in the relationship between job embeddedness and turnover among general hospital nurses. Journal of Korean Academy of Nursing Administration. 2014;20(3):302-12. https://doi.org/10.11111/jkana.2014.20.3.302
  9. Reitz OE, Anderson MA, Hill PD. Job embeddedness and nurse retention. Nursing Administration Quarterly. 2010;34(3):190-200. https://doi.org/10.1097/NAQ.0b013e3181e702b7
  10. Choi SY, Lee MA. Effects of job embeddedness and nursing professionalism on intent to stay in hospital nurses. Journal of Korean Academy Nursing Administration. 2018;24(3):234-44. https://doi.org/10.11111/jkana.2018.24.3.234
  11. Kim YS, Park JS. The relationship between nursing professionalism, clinical decision making abilities, and job performance in advanced practice nurses. Journal of Korean Academy of Nursing Administration. 2013;19(5):613-21. https://doi.org/10.11111/jkana.2013.19.5.613
  12. Kahya E, Oral N. Measurement of clinical nurse performance: Developing a tool including contextual items. Journal of Nursing Education and Practice. 2018;8(6):112-23. https://doi.org/10.5430/jnep.v8n6p112
  13. Lee YS, Gang MH, Jung MS. Impact of professional autonomy and nursing work environment on clinical decision making of clinical nurses. Korean Academic Society of Occupational Health Nursing. 2013;22(4):285-94. https://doi.org/10.5807/kjohn.2013.22.4.285
  14. Lee JH, Jung HJ. The influence of professional self-concept, nursing work environment, and teamwork on job satisfaction of nurses in comprehensive nursing care ward. Journal of the Korea Convergence Society. 2022;8(2):149-55. https://doi.org/10.17703/JCCT.2022.8.2.149
  15. Jang IS, Lee KS. Effects of critical thinking and nursing practice environment on clinical decision making among nurses. Journal of Digital Convergence. 2019;17(2):255-64. https://doi.org/10.14400/JDC.2019.17.2.255
  16. Stinson KJ. Benner's framework and clinical decision-making in the critical care environment. Nursing Science Quarterly. 2017;30(1):52-7. https://doi.org/10.1177/089431841668053
  17. Sohng KY, Noh CH. An analytical study of the professional self-concept of hospital nurses in Korea. Journal of Korean Academy of Nursing. 1996;26(1):94-106.
  18. Park SA, Kim JH, Park KO, Kim MS, Kim SY. Development a tool for evaluating nurse's performance in hospital units. Journal of Korean Clinical Nursing Research. 2009;15(2):5-21.
  19. Lee DY, Kim SY. The influences of grit, emotional labor and organizational intimacy on nurses' intention to stay in comprehensive nursing care service units. The Korean Journal of Rehabilitation Nursing. 2020;23(2):149-57. https://doi.org/10.7587/kjrehn.2020.149
  20. Han NK, Lee T, Kim J. A comparative study on trust, collaboration and teamwork of other healthcare personnel by nurses working on integrated nursing care service wards versus nurses on general wards. Journal of Korean Academy of Nursing Administration. 2020;26(4):316-30. https://doi.org/10.11111/jkana.2020.26.4.316
  21. Kim JM, Lee YM. Factors influencing job satisfaction among nurses in integrated nursing care service wards. The Korean Journal of Health Service Management. 2019;13(3):53-65. https://doi.org/10.12811/kshsm.2019.13.3.053
  22. Jeong SM. The effect of team leader's authentic leadership & team trust on psychological contract. Ordo Economics Journal 2018;21(2):95-113. https://doi.org/10.20436/OEJ.21.2.095
  23. Hao P, Wu L, Liu Y. A survey on work status and competencies of clinical research nurses in China. Journal of Research in Nursing. 2022;27(1-2):82-98. https://doi.org/10.1177/17449871211067963
  24. Park JH, Park MJ, Hwang HY. Intention to leave among staff nurses in small-and medium-sized hospitals. Journal of Clinical Nursing. 2019;28(9-10):1856-67. https://doi.org/10.1111/jocn.14802
  25. Zhang T, Wei Q, Ma SY, Li HP. The relationship between optimism and job satisfaction for Chinese specialist nurses: A serial-multiple mediation model. Japan Journal of Nursing Science. 2020;17(3):e12334. https://doi.org/10.1111/jjns.12334
  26. Jang BJ, Yeom HA. Hospice-palliative care nurses' knowledge of delirium, self-efficacy and nursing performance on delirium. Journal of Hospice and Palliative Care. 2018;21(2):65-74. https://doi.org/10.14475/kjhpc.2018.21.2.65
  27. Kwak SH, Hyun SK. Exploring job stress, job satisfaction, and turnover intention of nurses in the comprehensive nursing service. The Journal of the Convergence on Culture Technology. 2019;5(2):23-30. https://doi.org/10.17703/JCCT.2019.5.2.23
  28. Y He, Y Guo, X Guo, N Han, B Xin, Y Wu, et al. Role function and job satisfaction of community nurses in China: A cross-sectional study. Nursing Open. 2024;11:e2109. https://doi.org/10.1002/nop2.2109
  29. Kim MY, Kim JH, Choi SJ. Mediating effects of role clarity between clinical decision-making abilities and job stress for advanced practice nurses at tertiary hospitals. Journal of Korean Critical Care Nursing. 2022;15(2):27-38. https://doi.org/10.34250/jkccn.2022.15.2.27
  30. Pursio K, Kankkunen P, Mikkonen S, Kvist T. Organizational characteristics of nursing practice environments related to registered nurses' professional autonomy and job satisfaction in two finnish magnet-aspiring hospitals: Structural equation modeling study. BMC Nursing. 2024;23:100. https://doi.org/10.1186/s12912-024-01772-9