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Nurse’s Knowledge Sharing in Time of COVID-19 Pandemic: A Systematic Review and Expert Opinion

Author

Listed:
  • Kaywan Rahmany

    (Student Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran)

  • Mazyar Karamali

    (��Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran)

  • Maryam Yaghoubi

    (��Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran)

Abstract

This study aimed to review the effective factors, tools and methods of knowledge sharing used by nurses during the COVID-19 pandemic. This mix-methods study was conducted in 2023 and included two stages. In the first stage, a systematic review of relevant literature was conducted. In the second stage, a panel of 10 experts justified and appended the findings of the previous stage. The main source of knowledge during the COVID-19 epidemic was social networks followed by official authorities, online training courses, media and colleagues. Different factors affecting knowledge sharing among nurses categorised into process-oriented factors, Human-oriented factors, Technology-oriented factors and organisation-oriented factors. Various known and innovative methods have been used by nurses to share knowledge during the COVID-19 pandemic including utilising social networks, Telementoring, team approaches for new staff and continuous training in line with the latest scientific findings. Nurses used both formal and informal sources to explore evidence supporting evolving clinical practices and social networks were a prominent source of knowledge during the pandemic. By recognising the significance of affecting factors, healthcare organisations can enhance nurses’ ability to effectively share knowledge, ultimately improving patient outcomes and overall healthcare response during similar crises in the future.

Suggested Citation

  • Kaywan Rahmany & Mazyar Karamali & Maryam Yaghoubi, 2024. "Nurse’s Knowledge Sharing in Time of COVID-19 Pandemic: A Systematic Review and Expert Opinion," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-29, December.
  • Handle: RePEc:wsi:jikmxx:v:23:y:2024:i:06:n:s021964922430002x
    DOI: 10.1142/S021964922430002X
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