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The utilisation of artificial intelligence in the context of nursing education has become increasingly extensive. However, various studies show differing perspectives and attitudes among nursing students, and the findings have not been systematically synthesised.
To systematically review the perceptions and attitudes of nursing students on the application of artificial intelligence in nursing education.
Mixed-methods systematic review.
A comprehensive literature search was conducted across 10 databases, including PubMed, Cochrane, Embase, Web of Science, CINAHL, Scopus, China Science and Technology Journal Database, SinoMed, China National Knowledge Internet, and WanFang database, the inclusive years of articles searched were from 1969 to 2025. Two researchers independently screened the literature and extracted the data. The mixed methods assessment tool was used to evaluate the risk of bias in the included literature. The relevant data were extracted and synthesised according to the Joanna Briggs Institute's convergence synthesis method, ensuring the comprehensive integration of qualitative and quantitative results. These results were then integrated into the Technology Acceptance Model.
A total of 28 articles were included, including 13 qualitative studies, 13 quantitative studies, and 2 mixed-method studies. According to the Technology Acceptance Model, the perceptions and attitudes of nursing students on the nursing education's adoption of artificial intelligence were integrated into 10 categories of three comprehensive themes: (i) Nursing students' perceptions and attitudes of the ease of use of artificial intelligence in nursing education, including 3 categories; (ii) nursing students' perceptions and attitudes on the usefulness of artificial intelligence in nursing education, including 4 categories; (iii) nursing students' behavioural intention, including 3 categories.
Overall, our study demonstrated that nursing students had an active willingness to utilise artificial intelligence. However, they acknowledged that certain issues persist regarding the ease and practicality of artificial intelligence in nursing education.
No patients or members of the public were directly involved in this systematic review, as the study synthesised existing literature.
Improving global access to pain management medications for cancer patients remains a critical priority. Nurses are now understood to play an essential role in cancer pain medication management, yet the barriers and facilitators they encounter require urgent identification.
This systematic review aimed to identify the barriers and facilitators for nurses in managing cancer pain medication.
This systematic review followed the Joanna Briggs Institute (JBI)'s guidelines for qualitative systematic reviews.
Eleven databases (PubMed, Web of Science, the Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Scopus, OPENGREY.EU, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database (VIP) and SinoMed) were searched from their inception to 9th July 2025. Articles were evaluated for quality using JBI critical appraisal tools. Data extraction was performed according to JBI standardised protocols, and evidence synthesis was conducted using JBI meta-aggregation, which involved extracting findings, categorising them into thematic groups and synthesising them into comprehensive statements.
Twenty-four qualitative studies were reviewed in the present study. Two synthesised findings regarding the barriers and facilitators for nurses in managing cancer pain medication were integrated: (1) Barriers for nurses to manage cancer pain medication were summarised into five categories: systemic barriers, resource barriers, knowledge and skills barriers, financial and cultural barriers and communication and psychological barriers; (2) Facilitators for nurses to manage cancer pain medication were summarised into three categories: nursing capacity building, supportive care environments and collaborative support systems.
Multilevel barriers impede nurse-led cancer pain management, necessitating policy reforms (e.g., tiered prescribing), investments in telehealth/training and culturally responsive interprofessional collaboration. Prioritising facilitators, capacity building, supportive environments and collaboration is vital to empower nurses in delivering equitable, evidence-based pain relief.
This review equips clinical managers and policymakers with evidence to implement policy and practice reforms, such as tiered prescribing and interprofessional collaboration, which are critical to empower nurses in delivering effective cancer pain management.
This systematic review was prospectively registered in PROSPERO prior to the initiation of the search (Registration ID: CRD42024570807).
There was no patient or public contribution.
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