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Artificial intelligence-based conversational agents (CAs) have shown transformative potential in healthcare, yet their application in cancer health education has remained underexplored, particularly regarding usability and patients' experiences. Existing reviews lack a dedicated focus on user perspectives, limiting insights into how CAs can be optimised for patient needs.
To explore the usability and experience of artificial intelligence-based conversational agents in health education for cancer from the user perspective.
A scoping review was conducted with the Joanna Briggs Institute Scoping Reviews conduct guidance and reported according to the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews checklist.
A search was performed in PubMed, Embase, CINAHL, Web of Science, PsycINFO, IEEE Xplore Digital Library and ACM Digital Library from their inception to March 6, 2024. The references to the articles included were also searched. The Pillar Integration Process was employed to chart data.
A total of 12 studies were included in this scoping review, which revealed that CAs supported diverse educational contexts, including cancer-related knowledge (41.7%), pretest genetics (33.3%), self-management (16.7%) and psychological skills (8.3%). Three studies reported that patients preferred interactions with multiple options or ‘read more’ functions. Patients were generally optimistic about the CAs and reported that CAs provided informational, physical, and psychological support for them. However, limitations such as insufficient customisation, lack of empathy, and defects in understanding free-input questions were noted.
This review demonstrated that CAs are promising complementary tools in cancer education, alleviating healthcare burdens while enhancing patient engagement, which was particularly critical in resource-limited settings. However, clinical implementation requires more rigorous validation of safety protocols and high-quality original studies.
Nurses and policymakers should consider CAs valuable tools to enhance cancer health education, provided that they align with patient needs and institutional safety standards.
To retrieve, evaluate and summarise the best evidence for non-pharmacological management of sleep disturbances in ICU patients, and to provide basis for clinical nursing practice.
This study was an evidence summary followed by the evidence summary reporting standard of Fudan University Center for Evidence-based Nursing.
All evidence on non-pharmacological management of sleep disturbances in ICU patients from both domestic and international databases and relevant websites was systematically searched, including guidelines, expert consensuses, best practice, clinical decision-making, evidence summaries and systematic review.
UpToDate, BMJ Best Practice, Joanna Briggs Institute, Scottish Intercollegiate Guidelines Network, National Guideline Clearinghouse, National Institute for Health and Clinical Excellence, Yi Maitong Guidelines Network, Registered Nurses Association of Ontario, Canadian Medical Association: Clinical Practice Guideline, Guidelines International Network, WHO, the Cochrane Library, CINAHL, Embase, PubMed, Web of Science, CNKI, WanFang database, VIP database, SinoMed, The American Psychological Association, European Sleep Research Society, American Academy of Sleep Medicine and National Sleep Foundation were searched from the establishment of the databases to June 1, 2024.
A total of 18 pieces of literature were included, involving 4 guidelines, 2 expert consensuses, 1 best practice and 11 systematic reviews. 25 pieces of evidence covering 4 categories of risk factors, sleep monitoring, non-pharmaceutical intervention, education and training were summarised.
This study summarises the best evidence for non-pharmacological management of sleep disturbances in ICU patients. In clinical application, medical staff should make professional judgements and fully combine clinical situations and patient preferences to select evidence, laying a theoretical foundation for later empirical research to reduce the incidence of sleep disturbances in ICU patients and improve the sleep quality of critically ill patients.
Medical staff can refer to the best evidence to provide reasonable non-pharmacological management plans for sleep disturbances in ICU patients, improving their sleep quality and life satisfaction.
The management of sleep disturbances in critically ill patients has not received sufficient attention and standardisation. This study summarises 25 pieces of the best evidence for non-pharmacological management of sleep disturbances in critically ill patients. Accurate and standardised evaluation and monitoring are the foundation of sleep management for ICU patients. This summary of evidence can help ICU nurses enhance their clinical practice.
This evidence summary followed the evidence summary reporting specifications of Fudan University Center for Evidence-based Nursing, which were based on the methodological process for the summary of the evidence produced by the Joanna Briggs Institute. This study was based on the evidence summary reporting specifications of the Fudan University Center for the Evidence-based Nursing; the registration number is ‘ES20231708’.
No Patient or Public Contribution.
To develop a deep learning-based smart assessment model for pressure injury surface.
Exploratory analysis study.
Pressure injury images from four Guangzhou hospitals were labelled and used to train a neural network model. Evaluation metrics included mean intersection over union (MIoU), pixel accuracy (PA), and accuracy. Model performance was tested by comparing wound number, maximum dimensions and area extent.
From 1063 images, the model achieved 74% IoU, 88% PA and 83% accuracy for wound bed segmentation. Cohen's kappa coefficient for wound number was 0.810. Correlation coefficients were 0.900 for maximum length (mean difference 0.068 cm), 0.814 for maximum width (mean difference 0.108 cm) and 0.930 for regional extent (mean difference 0.527 cm2).
The model demonstrated exceptional automated estimation capabilities, potentially serving as a crucial tool for informed decision-making in wound assessment.
This study promotes precision nursing and equitable resource use. The AI-based assessment model serves clinical work by assisting healthcare professionals in decision-making and facilitating wound assessment resource sharing.
The STROBE checklist guided study reporting.
Patients provided image resources for model training.
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 