Journal of Clinical Nursing最新文献

Aims: This study examined the anxiety levels of nurses and nurse candidates regarding humanoid nurse robots and artificial intelligence health technologies in perioperative patient care.

Design: Descriptive and cross-sectional study.

Methods: The research was conducted with 158 intern students and 167 surgical nurses. Socio-demographic characteristics form, Questions Form Regarding Humanoid Nurse Robots and Artificial Intelligence Health Technologies, Artificial Intelligence Anxiety Scale and The Medical Artificial Intelligence Preparedness Scale were used. The independent t-test and one-way analysis of variance (ANOVA) were used. This study complied with Appendix S1.

Results: The total scores on the Artificial Intelligence Anxiety Scale for nurses and nursing students are 73.089 ± 31.667 and 73.624 ± 28.029, respectively. The total scores on the Artificial Intelligence Readiness Scale for nurses and nursing students are 71.736 ± 15.064 and 72.183 ± 13.714, respectively. When comparing the sociodemographic characteristics and scale scores of nurses, a statistically significant difference was found between age and the Artificial Intelligence Anxiety Scale scores (p < 0.05). There was also a statistically significant difference between age, gender and work duration and the Artificial Intelligence Readiness Scale scores for nurses (p < 0.05).

Conclusion: Both groups exhibited moderate levels of anxiety and readiness regarding artificial intelligence. Comprehensive research is needed to elucidate the impact of artificial intelligence technologies on nursing professionals.

Implication for the profession: The proper use of Artificial Intelligence technologies can enhance the quality of patient care, alleviate the workload, increase patient and staff satisfaction and foster new perspectives on acceptance. With their integration into clinics, a patient-centred care environment will emerge, improving patient safety, outcomes and overall well-being. Thus, the anxieties of nurses and students towards artificial intelligence technologies will decrease, and their readiness will increase.

Patient or public contribution: No Patient or Public Contribution.

Aim: To synthesise the effectiveness of massage therapy for cancer pain, quality of life and anxiety among patients with cancer.

Design: Systematic review and meta-analysis.

Methods: This review was reported according to the PRISMA guidelines. Studies evaluating the effects of massage therapy on cancer pain, quality of life or anxiety in patients with cancer pain were eligible. The Cochrane Risk of Bias tool and Grading of Recommendations Assessment, Development and Evaluation were used to assess the quality of studies. Outcomes were pooled using standardised mean differences and narratively synthesised when meta-analysis was not possible.

Data sources: Pubmed, EMBASE, Web of Science, CINAHL, CENTRAL, Google Scholar, ProQuest Theses and Dissertations were searched for English peer-reviewed studies and grey literature published from inception to 8 January 2024.

Results: Thirty-six RCTs involving 3671 participants were included. Massage therapy significantly improved pain (pooled SMD = -0.51, 95% CI -0.68 to -0.33), quality of life (pooled SMD = 0.48, 95% CI 0.19-0.78 when higher scores indicate better quality of life; pooled SMD = -0.52, 95% CI -0.88 to -0.16 when higher scores indicate poorer quality of life) and anxiety (pooled SMD = -0.38, 95% CI: -0.57 to -0.18) post-intervention. All outcomes had very low certainty of evidence. Most studies had unclear or high risk of bias.

Conclusion: This review found that massage therapy is beneficial to patients with cancer in improving pain, quality of life and anxiety. Healthcare institutions and healthcare professionals should recognise the value of massage therapy to enhance the care of patients with cancer pain.

Reporting method: PRISMA guidelines.

Patient or public contribution: No Patient or Public Contribution.

Registration: PROSPERO CRD42023407311.

Aims: The concept of healthy or successful ageing dates back to the 1960s, where its goal is more realistic in today's ageing society as a result of effective interventions to control and reduce disability and health risks. The aim of this paper is to outline the importance of defining ageing, the semantics and indicators used, and to identify common challenges for health professionals' understanding and application of a healthy ageing approach in their everyday clinical practice.

Design and methods: This discursive paper demonstrates how realistic ageing indicators are for highlighting the variation and impact of challenges associated with ageing. It examines the proportion of older adults requiring aged-care services and allocation of resources, focusing on health maintenance and secondary ageing prevention.

Results: Indicators of ageing commonly used in clinical healthcare settings are reviewed, and their appropriateness for determining functional and intrinsic capacity of older adults. Other indicators are introduced, i.e., the Healthy Life Expectancy (HLE), Disability Free Life Expectancy (DFLE), the Human Development Index (HDI), and the Active Ageing Index (AAI), for enhancing and promoting a healthy ageing model of healthcare. Healthy ageing models of health and social care are also considered.

Conclusions: Outlining evidence on healthy ageing may facilitate health professionals to address realistic challenges regarding age-related health and social care provision, using a personalised approach for every older adult as opposed to cutting off chronological age parameters.

Relevance to clinical practice: Increasing health professionals' focus on healthy ageing will maintain good health in at least 80% of the ageing population for longer.

Patient or public contribution: No patient or public contribution.

Background: The population is rapidly growing, significantly impacting healthcare settings such as hospitals and long-term care. Falls are a major concern, being a leading cause of hospitalisations and injuries especially among adults aged 60 and above. Despite extensive research on falls prevention and risk factors, there is limited study on effective post-fall management strategies, making it crucial to review and develop interventions to improve care and safety for older adults in healthcare settings.

Aim: To explore the interventions implemented for post-fall management for residents and patients within healthcare settings, including hospitals and long-term care facilities.

Design: A scoping literature review.

Methods: We used the Joanna Briggs Institute guidance and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews (PRISMA-ScR). Eligible articles included hospital and long-term care post-fall management interventions. Data were manually extracted by two independent reviewers using the AACTT (Actor, Action, Context, Target and Time) Framework to detail intervention characteristics and guide the data charting process, allowing for thematic analysis and narrative synthesis of key findings.

Data sources: Medline, CINAHL, PsychINFO and Scopus were searched from inception until 30th September 2024.

Results: Eighteen articles were included. Over half the studies (55.5%) focused on post-fall interventions in LTCFs, testing assessment tools (50%), structured protocols (27.7%), huddles (11.1%) or multifactorial approaches (11.1%), with varied effectiveness. While assessment tools and huddles showed mixed results, structured protocols showed encouraging results with reduced unnecessary hospital transfers and hospitalisations.

Conclusion: This scoping review identified a variety of interventions used after falls in healthcare settings. However, there is inconclusive evidence about the effectiveness of interventions to reduce hospitalisation and injuries. This review identified areas for research that may help to inform post-fall management, including the need for further research into various interventions (e.g., standardised toolkit) to enhance care immediately following a fall.

Patient or public contribution: No Patient or Public Contribution.

Aims: This study identifies instruments for assessing the burden on family caregivers of cancer patients and evaluates their psychometric properties using COSMIN criteria.

Design: A systematic review based on COSMIN methodology.

Methods: The review adhered to PRISMA guidelines. Relevant studies were identified through searches in PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure, Wanfang Database, and China Science and Technology Journal Database, covering literature from inception to September 2024. Included studies focused on developing or validating measurement tools and assessing psychometric properties such as reliability, internal consistency and construct validity. Two independent researchers screened the literature, extracted data and evaluated psychometric properties using COSMIN criteria while assessing evidence quality via the GRADE method.

Results: A total of 32 studies were included, encompassing 17 tools for assessing caregiver burden. None reported measurement error, cross-cultural validity or responsiveness. The Caregiver's Burden Scale in End-of-Life Care (CBS-EOLC) demonstrated strong reliability, validity and internal consistency, receiving a strong recommendation for clinical practice. In contrast, the Zarit Burden Interview (ZBI), Family Caregiver Burden Interview Scale (FBIS) and Bakas Caregiving Outcomes Scale (BCOS) are not recommended due to insufficient supporting evidence. Other tools showed weak evidence, leading to weak recommendations.

Conclusions: The CBS-EOLC exhibits comprehensive psychometric properties suitable for clinical applications. The ZBI, FBIS and BCOS lack adequate supporting evidence and are not recommended. Future research should focus on measurement error, cross-cultural validity and responsiveness to enhance these tools' applicability and reliability.

Relevance to clinical practice: This review provides evidence for healthcare providers to select instruments for assessing caregiver burden in cancer patients.

Impact: This systematic review highlights the need for comprehensive assessments of caregiver burden based on COSMIN guidelines.

No patient or public contribution: This study is a systematic review with no patient or public participation.

Aims: To identify habitual dietary patterns in maintenance haemodialysis patients and analyse their association with malnutrition.

Design and methods: A multicentre cross-sectional dietary survey was conducted among 232 maintenance haemodialysis patients from three centres. A 3-day 24-h diet recall and demographic, clinical and therapeutic information were collected. Factor analysis was used to identify the major dietary patterns among haemodialysis patients. Logistic regression analysis was used to assess the relationship between dietary patterns and malnutrition risk.

Results: Three dietary patterns were identified in this study and differed in age, gender and diabetes. An 'animal foods and refined grains' dietary pattern meets guideline requirements. A 'fresh fruits and nuts' dietary pattern had insufficient daily energy and protein intake with the lowest carbohydrates, lipids and minerals intake among haemodialysis patients. A 'dairy products' dietary pattern characterised by low calorie and moderate protein was found to be associated with malnutrition.

Conclusions: Habitual dietary patterns of maintenance haemodialysis patients were associated with personal characteristics, specifically age, gender and diabetes. Patients with habitual 'dairy products' dietary patterns may have poor nutritional status.

Practical applications: Educating haemodialysis patients about their daily diet pattern, rather than focusing on nutrients, is crucial and will help them to understand it better. Clinical staff can recognise patients at risk of malnutrition by a dietary pattern of lower intake of certain foods. They can recommend a balanced nutritional pattern that increases calories in the total diet and meets protein requirements.