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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.
To map the evidence on patient engagement in mobile technology-based rehabilitation for arthroplasty, including outcome indicators, data collection methods, assessment results, facilitators and barriers, and promoting strategies.
A scoping review.
This study was conducted using a five-stage methodological framework, which included identifying the research questions, identifying relevant studies, selecting the studies, charting the data, and collating, summarising, and reporting the results.
Ten computerised databases were searched to identify eligible studies published between January 2015 and March 2024.
Forty-seven studies were included in this review. Most studies used data on patient adherence to interventions and programme usage to indicate patient engagement in mobile arthroplasty rehabilitation. Data were primarily collected through mobile device records and online or paper-based surveys. Over half of the studies reported a high level of patient engagement in mobile arthroplasty rehabilitation. Patient engagement was influenced by individual and environmental factors, such as the design of programmes, patients' ability to engage with technology, and the accessibility and functionality of equipment. Strategies to promote patient engagement include applying user-centred design principles, offering support from healthcare professionals, caregivers, and peer patients, and employing behaviour-changing strategies.
Existing studies have shown promising results in patient adherence to and use of mobile arthroplasty rehabilitation programmes. Further research can explore engaging patients in programme development, optimising outcome evaluation and data collection, identifying the mechanisms of patient engagement, and testing the effectiveness of promoting strategies.
The study findings provide practical implications for nurses and other healthcare professionals to deepen their understanding of patient engagement in mobile arthroplasty rehabilitation. They may consider employing strategies, such as user-centred design, to enhance patient engagement in mobile rehabilitation programmes, thereby improving patient care.
This review adhered to the PRISMA-ScR checklist.
No patient or public contribution.
The number of risk prediction models for sarcopenia in patients undergoing maintenance haemodialysis (MHD) is increasing. However, the quality, applicability, and reporting adherence of these models in clinical practice and future research remain unknown.
To systematically review published studies on risk prediction models for sarcopenia in patients undergoing MHD.
Systematic review and meta-analysis of observational studies.
This systematic review adhered to the PRISMA guidelines. Search relevant domestic and international databases, which were searched from the inception of the databases until November 2023. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) checklist was used to extract data. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was used to assess the risk of bias and applicability. The Transparent Reporting of a Multivariate Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) was used to assess the reporting adherence.
A total of 478 articles were retrieved, and 12 prediction models from 11 articles were included after the screening process. The incidence of sarcopenia in patients undergoing MHD was 16.38%–37.29%. The reported area under the curve (AUC) ranged from 0.73 to 0.955. All studies had a high risk of bias, mainly because of inappropriate data sources and poor reporting in the field of analysis. The combined AUC value of the six validation models was 0.91 (95% confidence interval: 0.87–0.94), indicating that the model had a high discrimination.
Although the included studies reported to some extent the discrimination of predictive models for sarcopenia in patients undergoing MHD, all studies were assessed to have a high risk of bias according to the PROBAST checklist, following the reporting guidelines outlined in the TRIPOD statement, and adherence was incomplete in all studies.
CRD42023476067.
Fall prevention is crucial for older adults. Enhanced fall risk perception can encourage older adults to participate in fall prevention programs. However, there is still no unified definition of the concept of fall risk perception.
To explore the concept of fall risk perception in older adults.
A concept analysis.
The literature was searched using online databases including PubMed, Cochrane Library, Embase, CINAHL Complete, PsycINFO, Web of Science, China National Knowledge Infrastructure, WangFang and SinoMed. Searches were also conducted in Chinese and English dictionaries. The literature dates from the establishment of the database to April 2023.
The methods of Walker and Avant were used to identify antecedents, attributes and consequences of the concept of “fall risk perception” in older adults.
Eighteen publications were included eventually. The attributes were identified as: (1) dynamic change, with features of continuum and stage; (2) whether falls are taken seriously; (3) a self-assessment of the fall probability, which is driven by individual independence; and (4) involves multiple complex emotional responses. The antecedents were identified as: (1) demographic and disease factors; (2) psychological factors and (3) environmental factors. The consequences were identified as: (1) risk-taking behaviour; (2) risk compensation behaviour; (3) risk transfer behaviour; and (4) emotions.
A theoretical definition of fall risk perception was identified. A conceptual model was developed to demonstrate the theoretical relationships between antecedents, attributes and consequences. This is helpful for the development of relevant theories and the formulation of fall prevention measures based on fall risk perception as the intervention target.
To identify available instruments for assessing cancer patients' spiritual needs and to examine their psychometric properties using the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology.
Cancer patients frequently have significant spiritual needs. The nurse plays an integral role in assessing the patient's spiritual needs as part of providing holistic care. It is crucial to assess these needs using appropriate and reliable instruments.
A systematic review based on COSMIN methodology.
Seven electronic databases (PubMed, EMBASE, CINAHL, Web of Science, ProQuest, CNKI and WANFANG) were systematically searched from inception until 14 February 2023. Two authors independently screened eligible literature, extracted data and evaluated methodological and psychometric quality. This systematic review was conducted following the PRISMA checklist.
Sixteen studies have reported 16 different versions of the instruments. None of the instruments were properly assessed for all psychometric properties, nor were measurement error, responsiveness and cross-cultural validity/measurement invariance reported. All of the instruments failed to meet the COSMIN quality criteria for content validity. The quality of evidence for structural validity and/or internal consistency in five instruments did not meet the COSMIN criteria. Eventually, five instruments were not recommended, and 11 were only weakly recommended.
Instruments to assess spiritual needs exhibited limited reliability and validity. The Spiritual Care Needs Scale is provisionally recommended for research and clinical settings, but its limitations regarding content validity and cross-cultural application must be considered in practice. Future research should further revise the content of available instruments and comprehensively and correctly test their psychometric properties.
The review findings will provide evidence for healthcare professionals to select instruments for recognising spiritual needs in cancer patients.
This study is a systematic review with no patient or public participation.
FreshRSS 