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Clinical Nurses' Perceptions of Digital Nursing Technology: A Qualitative Analysis Using the Theory of Planned
1Department of Nursing, Sahmyook Health University, Seoul, Republic of Korea.
Aims:
This study explored factors influencing clinical nurses' adoption of digital nursing technologies (DNT) and examined their perceptions and behavioural intentions using the Theory of Planned Behaviour (TPB).
Design:
A qualitative content analysis was conducted, guided by the TPB framework.
Methods:
In depth interviews were conducted with 21 clinical nurses between March and April 2023. Data were analysed using qualitative content analysis to identify themes related to DNT perceptions and experiences.
Results:
Seven main themes and 23 subthemes emerged. Nurses recognised benefits such as reduced workload, improved accuracy, enhanced efficiency, and expanded nursing services. Challenges included learning difficulties, limited perceived usefulness, data security concerns, and technical errors. Facilitators of adoption included supportive colleagues, role models, structured training, user-friendly technologies, adequate resources, positive prior experiences, and patient-centered design, while cultural resistance, lack of managerial support, and unclear regulatory guidance impeded use.
Conclusion:
Effective adoption of DNT requires targeted educational programs to enhance nurses' digital competencies, user-friendly technology interfaces, and clear institutional policies. Addressing both individual and organisational factors is critical for safe and sustainable integration of digital technologies into nursing practice.
Reporting Method:
This study adhered to the consolidated criteria for reporting qualitative research (COREQ) guidelines.
Patient Or Public Contribution:
No patient or public involvement.
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