Conectar
by Yu Chen, Xinjie Zhao, Ying Yue, Zhenyi Li, Si Chen
ObjectivesTo investigate factors associated with susceptibility to wild mushroom consumption using machine learning approaches and identify key predictors for targeted intervention development.
MethodsA cross-sectional survey of 216 Chinese university students employed three machine learning algorithms (Logistic Regression, Random Forest, Extremely Randomized Trees [ExtraTrees]) to predict consumption susceptibility based on demographics, media usage, and cognitive factors. Susceptibility was assessed through scenario-based questions following established frameworks from tobacco research. Model performance was evaluated using AUC with 95% confidence intervals calculated via bootstrap resampling (1,000 iterations). Sensitivity analyses were conducted using alternative susceptibility thresholds.
Results65.3% were classified as susceptible to consumption. Logistic Regression achieved highest performance (AUC = 0.776, 95% CI: 0.679–0.862). Risk perception emerged as the strongest predictor (importance = 0.133 ± 0.044), followed by mushroom picking experience (0.101 ± 0.017) and content impression (0.089 ± 0.018). Among the 63 participants (29.2%) who reported using AI models, 75.93% indicated trust levels of ‘fairly trust’ or above.
ConclusionsIn this exploratory study of Chinese university students from a single institution, cognitive factors, particularly risk perception and identification ability, showed the strongest associations with consumption susceptibility. These preliminary findings suggest that targeted interventions enhancing risk awareness may be relevant for this population, though replication across diverse samples is needed before broader conclusions can be drawn.
Nanocrystalline silver dressings are increasingly used as alternatives to silver sulfadiazine dressings in burn management, but comparative evidence remains inconclusive. This meta-analysis aimed to compare the efficacy and safety of nanocrystalline silver dressings versus silver sulfadiazine dressings in burn patients.
Systematic review and meta-analysis following PRISMA guidelines. The review was registered with PROSPERO (CRD420251060978).
PubMed, Embase, Cochrane Library and Web of Science were searched from inception through April 2025.
Randomized controlled trials comparing nanocrystalline silver dressings with silver sulfadiazine dressings in burn patients were included. Primary outcomes were wound healing time and adverse events. Secondary outcomes included complete re-epithelialization rates and dressing change frequency. Risk of bias was assessed using the Cochrane risk of bias tool. Evidence certainty was evaluated using the Grading of Recommendations, Assessment, Development and Evaluations framework. Meta-analysis was performed using Review Manager 5.4.
Eight randomized controlled trials (724 patients) were included. Nanocrystalline silver dressings significantly reduced wound healing time (mean difference [MD] = −3.29 days, 95% confidence interval [CI]: −3.82 to −2.76; p < 0.00001; I 2 = 0%) and dressing change frequency (MD = −8.76, 95% CI: −12.68 to −4.85; p < 0.00001; I 2 = 94%). No significant differences were found in re-epithelialization rates (odds ratio = 1.08, p = 0.80) or adverse events (risk difference = −0.00, p = 0.99). Evidence certainty was low to very low across all outcomes.
Nanocrystalline silver dressings may offer advantages over silver sulfadiazine dressings in reducing wound healing time and dressing change frequency in burn patients, but the overall certainty of evidence is low to very low. Future well-powered, multicenter trials with standardized outcomes and extended follow-up are needed.
These findings support the consideration of nanocrystalline silver dressings for burn wound management, particularly for reducing wound healing time and nursing workload associated with dressing changes. However, dressing selection should be guided by burn depth, infection risk, patient-specific factors, and resource availability.
We have adhered to relevant EQUATOR guidelines, particularly the PRISMA checklist.
No patient or public contribution.
PROSPERO CRD420251060978.
Heart failure is a leading cause of hospitalisation and often coexists with seven comorbid conditions on average. This study aimed to examine the gender differences in disease burden, symptom burden, and quality of life among older adults with heart failure and multimorbidity.
Cross-sectional study.
This study utilised a baseline survey from an ongoing cohort study in 2022–2023. Adults aged ≥ 50 years with heart failure and more than one chronic condition were recruited from a university-affiliated hospital using an electronic patient portal. Disease burden was measured using a modified Disease Burden Impact Scale. The Edmonton Symptom Assessment Scale and EuroQoL-5D-5L assessed symptom burden and quality of life. Gender differences in baseline outcomes were examined using Pearson's Chi-square tests, Welch's t-tests, and multiple linear regressions.
Among 353 participants who completed the baseline survey, the mean (±SD) age was 70 (±9.5) years, and 50.1% were women (mean age: 67 ± 9 vs. men: 72 ± 10). In adjusted models, women had 4.9 points higher disease burden (p = 0.003) and reported higher symptom scores of pain (p = 0.018), tiredness (p = 0.021), nausea (p = 0.007), and loss of appetite compared to men (p = 0.036). Women had significantly more moderate/severe problems in usual activities and pain/discomfort and 0.07 points lower EuroQoL index than men (p = 0.010).
There were gender differences in disease/symptom burdens and quality of life. Women living with heart failure and multimorbidity had higher burdens but lower quality of life.
Identifying gender differences among people with heart failure and multimorbidity can be the first step to explaining health disparities. Research should take more inclusive and equitable approaches to address these differences. Healthcare providers, including nurses, should implement targeted strategies for effective multimorbidity management by considering these differences and disparities in clinical settings.
STROBE checklist, cross-sectional.
No patient or public contribution.
To discuss the dyadic and triadic interviewing techniques as distinct approaches to data collection in qualitative research.
Methodological/methodical discussion.
Underpinned by a layered theoretical basis involving interpretivism, social constructivism and symbolic interactionism, dyadic and triadic interviewing approaches represent a tapestry that seeks to illuminate not only what participants think at the individual level, but also how they think together to generate shared, nuanced meanings. Key methodical considerations include participant recruitment and selection to form the dyads or triads, ethical issues, navigating power dynamics, determining saturation at the dyad or triad level and shifting the unit of analysis from the individual level to the dyad or triad level. Notable challenges to using these approaches include logistical complexity, ethical risks and the great need for skilled moderation.
Dyadic and triadic interviewing techniques occupy a vital methodological niche in qualitative studies, particularly within the contexts of health and social care research where relational dynamics and collaborative decision-making are central. By foregrounding co-constructed narratives and real-time interactions, dyadic and triadic interviewing techniques illuminate the interplay of individual agency, power asymmetries and cultural norms, offering insights that transcend the limitations of individual interviews or focus groups.
The increasing complexity of care, treatment pathways, recovery and family-centered decision making warrants engagement beyond individual interviews. Dyadic and triadic interview techniques facilitate this by combining the in-depth benefit of individual interviews and shared interpretations of focus group discussions to capture meanings and experiences.
This methodological/methodical discussion offers clarity to employing dyadic or triadic interviewing approaches to improve their uptake in health and social care research.
Not applicable.
No patient or public contribution.
To evaluate the effects of the organisational environment on hospital discharge readiness during public health emergencies.
An observational study.
A regression-discontinuity design approach was employed to assess the impact of the organisational environment on hospital discharge readiness. Adult patients diagnosed with acute myocardial infarction and discharged from the Cardiac Critical Care Unit of a tertiary hospital in Shanghai, China, were recruited. Spearman correlation analysis was conducted to examine the associations between multiple factors at individual and organisational levels and hospital discharge readiness across three stages of pandemic policy changes.
A total of 411 patients were included in the analysis. The regression-discontinuity analysis revealed a significant discontinuity at the cut-off, indicating that policy-driven changes in the organisational environment during public health emergencies were associated with a 21.61% reduction in hospital discharge readiness. Additionally, family functioning and the quality of nursing discharge education were significantly associated with discharge readiness across all three pandemic stages.
These findings demonstrate that patient-perceived hospital discharge readiness is significantly influenced by changes in the organisational environment during public health emergencies. Future research should focus on developing targeted discharge preparation programmes that allow for organisational adaptation in response to emergencies, such as pandemics or natural disasters.
Organisational responses to public health emergencies need to prioritise enhancing discharge preparedness. This includes bolstering family involvement and ensuring that nurses are adequately trained to provide effective discharge education, especially when healthcare resources are strained.
The findings underscore the importance of adaptable and resilient discharge planning and transitional care, particularly in public health emergencies. Fostering an organisational environment that supports seamless discharge processes can significantly improve patient readiness for post-hospital care.
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.
No patient or Public Contributions.
A significant number of women die from pregnancy and childbirth complications globally, particularly in low and middle-income countries. Receiving at least four antenatal care (ANC) visits is important in reducing maternal and perinatal deaths. However, few studies have investigated the factors linked to the completion of ≥4 ANC visits in Nepal.
To investigate factors associated with attending ≥4 ANC visits in Sarlahi district of southern Nepal.
A secondary analysis was conducted on data from the Nepal Oil Massage Study (NOMS), a cluster-randomised, community-based longitudinal pregnancy trial including 34 village development committees. We investigated the associations between attendance of ≥4 ANC visits and socioeconomic, demographic, morbidity and pregnancy history factors using logistic regression; generalised estimating equations were used to account for multiple pregnancies per woman. All pregnancies resulting in a live birth (LB) (n=31 867) were included.
Attendance of ≥4 ANC visits.
31.4% of those pregnancies received 4+ ANC visits. Significant positive associations included socioeconomic factors such as participation in non-farming occupations for women (OR=1.52, 95% CI 1.19 to 1.93), higher education (OR=1.79, 95% CI 1.66 to 1.93) and wealth quintile (OR=1.44, 95% CI 1.31 to 1.59), nutritional status such as non-short stature (OR=1.17, 95% CI 1.07 to 1.27), obstetric history such as adequate interpregnancy interval (OR=1.31, 95% CI 1.19 to 1.45) and prior pregnancy but no LB (OR=2.14, 95% CI 1.57 to 2.92), symptoms such as vaginal bleeding (OR=1.35, 95% CI 1.11 to 1.65) and awareness of the government’s conditional cash transfer ANC programme (OR=2.26, 95% CI 2.01 to 2.54). Conversely, identifying as the Shudra caste (OR=0.56, 95% CI 0.47 to 0.67), maternal age below 18 or above 35 (OR=0.81, 95% CI 0.74 to 0.88; OR=0.77, 95% CI 0.62 to 0.96), preterm birth (OR=0.41, 95% CI 0.35 to 0.49), parity ≥1 (OR=0.66, 95% CI 0.61 to 0.72) and the presence of hypertension during pregnancy (OR=0.79, 95% CI 0.69 to 0.90) were associated with decreased likelihood of attending ≥4 ANC visits.
These findings demonstrate the importance of socioeconomic factors, including education, caste, wealth and occupation in completion of ≥4 ANC visits. In addition, biological factors including birth spacing, pregnancy complications and nutrition are important. The association with awareness of the government’s conditional cash transfer programme is a motivation for a full evaluation of whether expanding that programme might improve prenatal care.
The clinicaltrial.gov trial registration number for NOMS was NCT01177111.
by Yue-Zi Hu, Zai-Long Qin, Wen Tang, Zhao-Lan Hu, Ru-Yi Luo
BackgroundThe COVID-19 pandemic has significantly affected healthcare, particularly surgical care. Although short-term effects on surgical outcomes have been examined, understanding of long-term postoperative prognosis and pain management in COVID-19 patients remains limited. This knowledge gap is critical as the pandemic evolves and the need for optimized postoperative care becomes increasingly important.
ObjectiveThe primary objective of this study was to evaluate the impact of COVID-19 infection on postoperative outcomes and pain management in surgical patients. We aimed to assess surgical mortality, complication rates, and postoperative pain levels in COVID-19-positive patients relative to a closely matched control group.
MethodsWe conducted a retrospective cohort study of COVID-19 patients admitted to the ICU following surgery. Data were collected on baseline characteristics, postoperative complications, mortality and pain scores. Univariate and multivariate linear regression models were used to evaluate the impact of COVID-19 infection on postoperative pain. Stratified and interaction analyses were additionally performed to examine the robustness of these associations across subgroups.
ResultsMortality rates and the incidence of sepsis were significantly higher in the COVID-19 cohort. Patients with COVID-19 also experienced longer duration of mechanical ventilation in the ICU and prolonged ICU stays. In the fully adjusted multivariate linear regression model, COVID-19 infection was positively associated with higher postoperative visual analog scale pain scores (β = 1.51; 95% CI: 1.03–1.98; p Conclusions
Surgical intervention in patients with COVID-19 was associated with higher mortality and sepsis rates, longer ICU stays, and increased postoperative pain scores. These findings highlight the need for continued research to optimize surgical care and improve patient outcomes in the evolving post-pandemic era.
Osteonecrosis of the femoral head (ONFH) is a progressive and disabling condition, with pain being its predominant symptom. Electroacupuncture (EA) has shown promise in the management of chronic pain; however, high-quality evidence on its efficacy and safety in ONFH is still lacking. The aim of this trial is to evaluate the efficacy and safety of EA for pain relief in ONFH.
This triple-blind, sham-controlled, parallel-group randomised controlled trial will be conducted at a single centre in China and will include 176 participants with ONFH. Participants will be randomly allocated (1:1) to receive either active EA or sham EA. The active intervention involves EA applied to specific acupoints (GB30, GB29, ST31, BL54 and Ashi points) twice weekly for 4 weeks. Sham EA consists of superficial needling at non-acupoint locations using a deactivated device. The primary outcome is the proportion of patients achieving a clinically meaningful reduction in pain at 4 weeks (end of treatment). Secondary outcomes are changes in the Visual Analogue Scale score, the proportion of participants achieving clinically significant pain improvement at weeks 8, 12 and 16, modified Harris Hip Score, psychological scales (Patient Health Questionnaire-9, Generalised Anxiety Disorder-7, Pain Catastrophising Scale, Pain Self-Efficacy Questionnaire), the 12-Item Short Form Health Survey, pain sensitisation tests, rescue analgesic use and the incidence of adverse events. Data will be analysed using the intention-to-treat principle, and appropriate statistical models will be used to compare the primary outcome between groups.
Ethical approval has been obtained from the Luoyang Orthopedic Hospital of Henan Province (Approval No: 2025ZXKT0001-02). Written informed consent will be obtained from all participants prior to enrolment. The results of this trial will be disseminated regardless of the findings through publication in a peer-reviewed journal.
To explore how, under what circumstances and why telerehabilitation can improve adherence to pulmonary rehabilitation in patients with chronic respiratory diseases.
A realist review.
Embase, MEDLINE, CINAHL, PsycINFO, Web of Science, and the Cochrane Library were searched from inception to 2 July 2024 to identify relevant literature.
Initial programme theory was developed through research team meeting, informal literature reading and the use of Capability, Opportunity, Motivation, Behaviour model. After completing the literature search, key evidence was appraised, extracted and synthesised into context-mechanism-outcome configurations.
The review included 23 studies. Seven context-mechanism-outcome configurations were identified. Accessibility and convenience of pulmonary rehabilitation; social interaction and support; technical support; individuality and flexibility of program; getting feedback and seeing results; real-time monitoring of diseases; and diverse motivational incentives were found to be critical for telerehabilitation to improve adherence to pulmonary rehabilitation in patients with chronic respiratory diseases.
This review explains the key mechanisms by which telerehabilitation improves adherence to pulmonary rehabilitation in patients with chronic respiratory diseases, which may contribute to the development and improvement of future pulmonary telerehabilitation interventions.
The program theory developed in this study may guide researchers and clinical staff in the development or improvement of pulmonary telerehabilitation interventions to improve patients' adherence to pulmonary rehabilitation and further support better pulmonary rehabilitation outcomes.
This study adheres to The RAMESES reporting standards.
No patient or public contribution.
Open Science Framework (https://osf.io/). DOI: https://doi.org/10.17605/OSF.IO/YWMQ8
To identify the latent frailty trajectory and explore corresponding predictors among older adults living with frailty who experience hip fracture surgery within 3 months after discharge.
From December 2022 to November 2024, 178 individuals were consecutively enrolled in a longitudinal observational study conducted at a tertiary hospital in Zhejiang Province, China.
The Reported Edmonton Frail Scale measured the frailty level at 5 points, which included baseline (pre-fracture), at discharge, 2 weeks, 1 and 3 months after discharge. Latent class growth models were set up for the frailty trajectory. Multinomial logistic regression was performed to explore the predictors of frailty trajectory classes.
One hundred fifty-three participants completed the full follow-up. Latent class growth models identified 3 frailty trajectories. Class 1: moderate frailty transformed to severe frailty (n = 27; 17.65%); Class 2: mild frailty transformed to moderate frailty (n = 86; 56.20%); Class 3: pre-frailty transformed to mild frailty (n = 40; 26.15%). A higher-level D-Dimer at admission and the five-item version of the Geriatric Depression Scale increased the incidence of Class 2 compared to Class 3. The higher scores of the Abbreviated Mental Test decreased the incidence of Class 2 compared to Class 3. Longer surgical waiting time, a higher-level five-item version of the Geriatric Depression Scale and the Age-Adjusted Charlson Comorbidity Index increased the incidence of Class 1 compared to Class 3. The higher scores of the Abbreviated Mental Test and Mini Nutritional Assessment Short Form decreased the incidence of Class 1 compared to Class 3.
Three frailty trajectory classes were identified among older adults living with frailty who experience hip fracture surgery after discharge within 3 months. D-Dimer at admission, surgical waiting time, depressive symptoms, cognitive status, comorbidity index and nutritional status are associated with these fluctuating frailty trajectories.
Modifiable factors such as improving nutrition and cognitive status and managing depression, comorbidities and preoperative evaluations provide methods for future interventions to prevent or mitigate frailty among this population.
What problem did the study address? Frailty is an inherent dynamic among older adults living with frailty who experience hip fracture surgery after discharge within 3 months. Some factors affect the mitigated frailty process in this population. What were the main findings? Three frailty trajectory classes were identified in this study. And the level of their frailty worsens 3 months after surgery compared to pre-fracture. D-Dimer at admission, surgical waiting time, depressive symptoms, cognitive status, comorbidity index and nutritional status are associated with these fluctuating frailty trajectories. Where and on whom will the research have an impact? The findings of this study provide screening, intervention and discharge plan evidence for healthcare workers in orthopaedics and geriatrics Departments. Helping community healthcare workers and primary caregivers set the theoretical basis for home-based intervention programs.
We have adhered to relevant EQUATOR guidelines using the STROBE reporting method.
No patient or public contribution.
To assess the association between ambient ozone (O3) exposure and semen quality among men with unhealthy behaviours and low income.
A case-control study was conducted from February 2024 to January 2025, in which male participants aged 18–45 years were recruited from Foshan, and following propensity score matching, a total of 820 participants were included in the final analysis.
The evaluated the association between O3 exposure during the 70–90 days, 10–14 days, 0–9 days and 0–90 days prior to semen collection and semen quality using stepwise conditional logistic regression analyses, and restricted cubic splines were incorporated into the models.
O3 exposure during the 70–90 days and 0–90 days preceding semen sample collection was significantly associated with an increased risk of low semen quality, with ORs of 1.020 (95% CI 1.003 to 1.039) and 1.056 (95% CI 1.008 to 1.108), respectively. Additionally, O3 exposure during the 0–90-days period showed a significant positive association with abnormal sperm concentration. A non-linear relationship between O3 exposure and sperm concentration was also observed. Notably, O3 exposure during the 0–9 days before semen collection was inversely associated with the risk of low semen quality. Subgroup analyses across age, lifestyle factors and socioeconomic strata revealed no significant effect modifications.
This study found that O3 exposure during the 70–90 days and 0–90 days before sampling was associated with reduced semen quality in men with unhealthy behaviours and low income.
This study aimed to investigate the network structural characteristics of self-efficacy and professional resilience among emergency nurses, identify core nodes within the network, and elucidate the key interactive mechanisms between these constructs.
Descriptive cross-sectional study.
A multi-center cross-sectional study was conducted from January to February 2025, involving 612 emergency nurses from 20 hospitals in Sichuan, China. Data were collected using a self-administered demographic questionnaire, the General Self-Efficacy Scale, and the Chinese Emergency Nurse Professional Resilience Tool. An adjacent network integrating professional resilience and self-efficacy was developed. Key covariates—including title, position, tenure in the hospital or emergency department, education, and exposure to workplace violence—were included as control variables. Network precision and stability were evaluated using the correlation stability coefficient and confidence intervals for edge weights. To further test the robustness of the network model, sensitivity analyses were performed by adding each significant covariate to the original model. The Network Comparison Test was then used to compare the covariate-adjusted and unadjusted networks, assessing differences in network structure, overall strength, and edge weights.
The analysis identified S9 as the central node in the network. The overall network showed satisfactory stability and precision. The Network Comparison Test showed no significant differences in network structure or global strength between the adjusted and unadjusted models, indicating that the network was stable and robust to covariate adjustment.
This network analysis revealed the interaction mechanisms between self-efficacy and professional resilience among emergency nurses through contemporaneous network modelling and identified S9 as the core node, suggesting that this coping strategy plays a key role in regulating psychological resources. The overall network demonstrated good stability and precision, with no statistically significant differences between the adjusted and unadjusted models according to the Network Comparison Test. These findings indicate that the network structure was robust to covariate adjustment and provide a reference for developing and optimising intervention strategies to enhance professional resilience among emergency nurses.
For Emergency Nurses and the Management of Emergency Nursing Practice: What problem does this study address?
This study addresses the gap in understanding how self-efficacy and occupational resilience interact in emergency nurses under high-stress conditions.
A contemporaneous network analysis revealed a central node linking self-efficacy and resilience, highlighting key pathways in their mutual influence.
The findings offer practical guidance for emergency nursing management, supporting the development of targeted strategies to strengthen nurses' resilience, enhance professional competence, and improve the quality of emergency care.
This study is reported using the STROBE guidelines.
No Patient or Public Involvement: This study did not include patient or public involvement in its design, conduct, or reporting.
To combine the Job Demand-Resource (JD-R) model with machine learning (ML) techniques to identify the key factors affecting job burnout (JB) among Chinese nurses.
A Cross-Sectional Study.
This study utilised a stratified sampling method to recruit 3449 eligible nurses from eight cities in Shandong Province between June and December 2021. After data cleaning, 2998 valid samples were retained. The dataset was randomly split into a training set (75%) and a test set (25%). The Boruta algorithm was used to select relevant variables for model construction. Six-millilitre models were compared using cross-validation, with mean absolute error (MAE), root mean square error (RMSE) and R-squared (R 2) used to select the best model. The Shapley Additive Explanation (SHAP) method was used to identify key predictors of JB.
The average JB score among nurses was (32.88 ± 11.45). Among the 20 variables, 17 were identified by the Boruta algorithm as strongly associated with JB, including 7 job demand-related variables and 10 job resource-related variables. After comparing 6-ml models, the Random Forest was identified as the optimal model (MAE = 6.56, RMSE = 8.86, R 2 = 0.63). SHAP analysis further revealed the importance ranking of these 17 variables and identified four key predictors: psychological distress (SHAP = 4.07), perceived organisational support (SHAP = 2.03), emotional intelligence (SHAP = 1.81) and D-type personality (SHAP = 1.73).
By integrating the JD-R model framework, ML algorithms proved effective in identifying critical predictors of nurses' JB. SHAP analysis identified four primary determinants: psychological distress, perceived organisational support, emotional intelligence and D-type personality. These findings provide novel insights for nursing administrators to optimise intervention strategies.
Not applicable.
This study did not include patient or public involvement in its design, conduct or reporting.
This retrospective study aimed to evaluate the clinical efficacy of double flap tibial transverse transport (dTTT) in the treatment of Wagner grade 3–4 diabetic foot ulcers (DFUs) and to assess its impact on peripheral nerve function in the affected limb. A total of 25 patients with DFUs who underwent dTTT at our institution were included. Baseline data were collected, and patients were systematically followed at 1, 3, 6 and 12 months postoperatively. Primary outcome measures included wound healing status, postoperative complications, microcirculatory indicators and nerve conduction parameters. All bone transport sites healed successfully, with no major complications observed except for one patient who died from COVID-19. At 12 months postoperatively, significant improvements were noted in foot skin temperature, transcutaneous oxygen partial pressure and the ankle-brachial index (all p < 0.001). Additionally, motor nerve conduction velocities of the posterior tibial and common peroneal nerves increased significantly (p < 0.001), and corresponding compound muscle action potential amplitudes rose to 4.91 ± 0.14 mV and 4.68 ± 0.29 mV, respectively (p < 0.001). These findings suggest that dTTT not only facilitates wound healing by improving local microcirculation but also enhances peripheral nerve function, offering a promising therapeutic approach for improving long-term outcomes and quality of life in patients with advanced DFUs.
The incidence of cancer continues to increase, and cancer patients still suffer from a range of burdens, leading to decreased quality of life. AI has been increasingly studied in the field of cancer care, demonstrating its enormous potential. However, most AI applications in cancer care are still in the developmental stage, and the strength of evidence from randomized controlled trials is not yet sufficient.
To evaluate the effects of AI-enhanced interventions in randomized controlled trials conducted in clinical settings and the impact of AI-enhanced interventions on the health outcomes of adult cancer patients.
Meta-analysis of randomized controlled trials.
Nine databases (MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, CINAHL, PsycINFO, Web of Science, CNKI, VIP, and Sinomed) were systematically searched, and metadata analysis was performed using R software and R Studio. The quality of the included studies was evaluated using the Cochrane Risk of Bias tool (RoB2) and the GRADE approach. The process was independently completed by two authors. The intervention effect was estimated by calculating the standardized mean difference (SMD) and 95% confidence interval (CI) using a random-effects model.
A total of ten articles were included. Meta-analysis results showed that AI-enhanced interventions can significantly improve the quality of life (SMD 0.89, 95% CI 0.06–1.73), symptom burden (SMD −0.81, 95% CI −1.44 to −0.18), anxiety (SMD −0.20, 95% CI −0.32 to −0.07), and self-efficacy (SMD 0.55, 95% CI 0.06 to 1.03) of cancer patients. The type of AI application and the duration of the intervention had an impact on the quality of life of cancer patients: the effect of algorithm recommendations (SMD 1.49, 95% CI 0.04–2.93) was better than that of risk alerts (SMD 0.33, 95% CI 0.03–0.63), and the effect of short-term interventions (< 3 months) (SMD 1.49, 95% CI 0.04–2.93) was better than that of long-term interventions (≥ 3 months) (SMD 0.19, 95% CI −0.04 to 0.43). Sensitivity analysis showed that the results of this study were stable and reliable.
AI-enhanced interventions are effective tools for improving patient outcomes. When integrating AI into clinical practice for cancer patients, priority should be given to the type of technology involved, ensuring its acceptability by enhancing perceived usefulness. AI technology should be adopted to relieve clinical nurses from documentation and low-complexity tasks, thereby addressing concerns about the loss of “humanistic care.” We recommend the formal integration of AI literacy frameworks, such as N.U.R.S.E.S., into nursing education and practice.
Trial Registration: PROSPERO (registration number: CRD420251040938).
Fear of childbirth is common among pregnant women. Mindfulness-based interventions have been used widely in obstetrics. However, the evidence of the effects on fear of childbirth is controversial.
To evaluate the effects of mindfulness-based interventions on fear of childbirth, pain catastrophising, labour pain intensity, use of pain relief medication, mode of delivery and duration of labour among pregnant women planned for normal delivery.
In this systematic review, 10 databases were searched from inception to 7 November 2024. Randomized controlled trials implementing mindfulness-based interventions for fear of childbirth or related outcomes were included. Two reviewers assessed the methodological quality and certainty of evidence independently. Standardized mean difference (SMD), risk ratio (RR), and 95% confidence intervals (CI) were used to evaluate effect sizes.
A total of 16 studies from 15 trials were included. Based on very low to moderate certainty of evidence, mindfulness-based interventions were effective in decreasing fear of childbirth both immediately post-intervention and within 6-week postpartum (SMD: −0.72; 95% CI −0.89, −0.55; SMD: −0.63; 95% CI −0.91, −0.35, respectively), labour pain intensity (SMD: −1.22; 95% CI −2.07, −0.37), caesarean section rate (RR: 0.58; 95% CI 0.36, 0.93), and total duration of labour (SMD: −1.03; 95% CI −1.34, −0.72), and improving mindfulness level both immediately post-intervention and within six-week postpartum (SMD: 0.48; 95% CI 0.31, 0.66; SMD: 0.50; 95% CI 0.27, 0.73, respectively), but had no significant effect on pain catastrophising (SMD: −0.36; 95% CI −0.72, 0.01) and epidural analgesia use rate (RR: 0.77; 95% CI 0.57, 1.03).
Mindfulness-based interventions have potential effects on reducing fear of childbirth and promoting labour-related outcomes. These interventions might be an effective approach in obstetrics clinical practice to enhance the pregnancy and labour experiences among pregnant women.
PROSPERO registration number: CRD42024610793
To examine the relationship among leadership, clinical teaching competencies, and structural empowerment of nursing clinical instructors in China.
A cross-sectional study.
A total of 152 nurses who come from three Grade A tertiary hospitals located in Beijing, Kunming, and Liaoning Province, China, completed an online questionnaire that included general information, clinical teaching information, the Conditions of Work Effectiveness Questionnaire-II, nurse leadership, and structural empowerment. SPSS 26.0 and AMOS 26.0 were used for normality test, descriptive statistics, correlation analysis, regression analysis, and structural equation model.
The study revealed that nurse leadership (r = 0.402) and structural empowerment (r = 0.568) both positively correlated with clinical teaching competencies. Specifically, the level of nurse leadership exhibited a low but direct positive effect on these competencies (β = 0.22), while the level of structural empowerment demonstrated a moderate direct positive effect (β = 0.56).
Enhancing nurse leadership and structural empowerment positively influence the clinical teaching competencies of nursing instructors.
Constructing a structural equation model to describe the relationship between leadership, structural empowerment, and teaching ability can provide the most intuitive direction for future research, so as to better improve the teaching ability of clinical nursing teachers.
No patient or public contribution.
FreshRSS 