Mental Health and Addiction Care Professionals' Views on Artificial Intelligence Integration in Oman: A Descriptive Qualitative Study.
- 1Community and Mental Health Department, College of Nursing, Sultan Qaboos University, Muscat, Oman.
- 2College of Nursing, Sultan Qaboos University, Muscat, Oman.
Abstract
Aim
To explore mental health and addiction care professionals' views on integrating artificial intelligence into clinical practice at a tertiary psychiatric hospital.Design
A qualitative descriptive study.Methods
Purposive sampling recruited 17 nurses, psychiatrists, psychologists, and social workers. Face-to-face semi-structured interviews were audio-recorded, transcribed verbatim, translated from Arabic into English, and analysed through codebook-based thematic analysis informed by Braun and Clarke's six phases.Results
Four themes were identified: variable familiarity with artificial intelligence (AI); actual experience with artificial intelligence and non-artificial-intelligence digital technologies, with telemedicine and electronic health records more common than AI-specific tools; anticipated benefits involving efficiency, clinical decision support, communication, data management, and service access; and anticipated barriers concerning infrastructure, resources, training, clinical suitability, therapeutic relationships, and ethics.Conclusion
Participants were cautiously optimistic but had limited direct clinical experience and sometimes conflated AI with other digital technologies. Safe implementation requires a shared understanding of AI, reliable infrastructure, role-specific education, ethical governance, accountable human oversight, and protection of therapeutic relationships.Patient or public contribution
No patients or members of the public were involved in the design, conduct, analysis, interpretation, or reporting of this study. The participants were healthcare professionals.
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BibTeX
@article{alabri2026mental,
title = {{Mental Health and Addiction Care Professionals' Views on Artificial Intelligence Integration in Oman: A Descriptive Qualitative Study.}},
author = {Khalood Rashid Al-Abri and Amal Ali Al Saadi and Alzahraa Yasir Al Rashdi and Jamila Mohammed Al Nasseri and Ali Khalid Al Mashaykhi and Alyamama Obaid Al Maqbali and Samia Salim Alharrasi},
journal = {Nursing open},
year = {2026},
month = oct,
doi = {10.1002/nop2.70939},
url = {https://europepmc.org/article/MED/42949827},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Mental Health and Addiction Care Professionals' Views on Artificial Intelligence Integration in Oman: A Descriptive Qualitative Study.
AU - Khalood Rashid Al-Abri
AU - Amal Ali Al Saadi
AU - Alzahraa Yasir Al Rashdi
AU - Jamila Mohammed Al Nasseri
AU - Ali Khalid Al Mashaykhi
AU - Alyamama Obaid Al Maqbali
AU - Samia Salim Alharrasi
PY - 2026
DA - 2026/10/01
JO - Nursing open
DO - 10.1002/nop2.70939
UR - https://europepmc.org/article/MED/42949827
AB - Aim To explore mental health and addiction care professionals' views on integrating artificial intelligence into clinical practice at a tertiary psychiatric hospital.Design A qualitative descriptive study.Methods Purposive sampling recruited 17 nurses, psychiatrists, psychologists, and social workers. Face-to-face semi-structured interviews were audio-recorded, transcribed verbatim, translated from Arabic into English, and analysed through codebook-based thematic analysis informed by Braun and Clarke's six phases.Results Four themes were identified: variable familiarity with artificial intelligence (AI); actual experience with artificial intelligence and non-artificial-intelligence digital technologies, with telemedicine and electronic health records more common than AI-specific tools; anticipated benefits involving efficiency, clinical decision support, communication, data management, and service access; and anticipated barriers concerning infrastructure, resources, training, clinical suitability, therapeutic relationships, and ethics.Conclusion Participants were cautiously optimistic but had limited direct clinical experience and sometimes conflated AI with other digital technologies. Safe implementation requires a shared understanding of AI, reliable infrastructure, role-specific education, ethical governance, accountable human oversight, and protection of therapeutic relationships.Patient or public contribution No patients or members of the public were involved in the design, conduct, analysis, interpretation, or reporting of this study. The participants were healthcare professionals.
SN - 2054-1058
ER -