Conectar
To analyse current Glasgow Coma Scale practice among emergency nurses in China and identify factors influencing assessment quality.
A quantitative, multicenter cross-sectional design.
A convenience sample of 1740 emergency nurses from secondary and tertiary hospitals across 21 provinces completed a validated structured questionnaire between March and April 2025. Participants had at least 6 months of emergency nursing experience. Data analysis included descriptive statistics, chi-square tests, and multiple logistic regression to examine factors influencing correct Glasgow Coma Scale application.
Participants had a mean age of 29.8 years (SD = 6.2). Only 52.5% of nurses demonstrated correct Glasgow Coma Scale application despite 97.0% having theoretical knowledge of scoring criteria. While 56.8% had received Glasgow Coma Scale training, significant standardisation deficiencies emerged. Notably, 41.8% of departments lacked operational guidelines, and 53.7% of nurses experienced scoring disagreements with colleagues. Clinical utilisation varied substantially by patient population: traumatic brain injury (97.8%), neurological diseases (96.9%), and systemic critical illness (85.8%). Multivariate analysis identified six significant factors influencing correct application: standardised training (OR = 2.252, 95% CI: 1.789–2.825), manageable workload ≤ 4 patients/shift (OR = 1.652, 95% CI: 1.327–2.057), departmental guidelines (OR = 1.523, 95% CI: 1.233–1.881), extensive work experience ≥ 9 years (OR = 1.534, 95% CI: 1.182–1.992), while multidisciplinary collaboration issues (OR = 0.559, 95% CI: 0.439–0.712) and special patient experience (OR = 0.520, 95% CI: 0.406–0.666) were associated with reduced accuracy.
Substantial standardisation challenges exist in Glasgow Coma Scale practice among Chinese emergency nurses, characterised by significant gaps between theoretical knowledge and clinical application. Major barriers include insufficient standardised guidelines, inconsistent training approaches, and inadequate interdisciplinary collaboration.
Healthcare administrators should develop national standardised guidelines, implement simulation-based training programs, optimise emergency workflows, and integrate alternative assessment tools to enhance consciousness assessment accuracy and improve patient safety.
STROBE statement adherence.
No patient or public contribution.
Stroke is a leading cause of death and disability worldwide, with spasticity affecting 4%–42.6% of stroke survivors. Prolonged spasticity can lead to pain, restricted joint mobility and muscle weakness. Current non-pharmacological treatments include physical therapy, orthoses and surgery. Muscle energy techniques (METs) and blood flow restriction training (BFRT) have shown promise in improving muscle function and reducing spasticity. This study aims to investigate the combined effect of MET and BFRT on upper limb motor function in patients with poststroke spasticity.
This study is a single-blind randomised controlled trial involving patients with poststroke spasticity. Participants will be randomly assigned to either the MET+BFRT group or the passive stretching group. Both groups will receive conventional rehabilitation therapy, with additional MET+BFRT or passive stretching interventions. The intervention will last for 6 weeks, with four sessions per week. Primary outcomes include the simplified Fugl-Meyer assessment (FMA) and surface electromyography, while secondary outcomes include the Modified Barthel Index and the Modified Ashworth Scale.
Based on literature data, patients who had a stroke have an average baseline upper limb FMA score of 40 points. Conventional rehabilitation typically improves FMA to 46 points (SD=8). This trial expects an additional 6-point improvement from the intervention. With α=0.05 (two-sided), 90% power (1–β=0.90) and 10% dropout rate, PASS V.11.0 calculation indicates a minimum requirement of 42 participants per group.
Statistical analysis will be conducted using IBM SPSS Statistics V.25. Intention-to-treat analysis will be used to analyse the result, which means the last observation will be used for interpolation when data are missing. Continuous variables will be summarised as mean±SD for normally distributed data or as median and IQRs for non-normally distributed data. Categorical variables will be presented as frequencies and percentages. For continuous variables that meet the criteria of normal distribution and homogeneity of variance, two-way analysis of variance with repeated measures will be applied; for those that do not meet these criteria, the Mann-Whitney U test will be used. Categorical variables will be analysed with the 2 test or Fisher’s exact test.
The study protocol has been approved by the ethics committee of Jiaxing Hospital of Traditional Chinese Medicine (2024-016). Participants will provide written informed consent before inclusion. The results will be disseminated through peer-reviewed journals and conference presentations.
ChiCTR2400085996.
In the era of ‘Undetectable = Untransmittable’ (U=U), reductions in condom use and increases in casual partnerships may contribute to elevated risks of coinfection with other sexually transmitted infections (STIs) and HIV super-infections among men living with HIV. These trends may reflect a shift in personal attitudes towards sexual behaviour and HIV risk, yet their influence on actual behaviours remains unclear.
To investigate how changes in personal attitudes and safe sex self-efficacy influence sexual decision-making.
Two-wave longitudinal study design.
We conducted a 3-month longitudinal study from March to December 2023 among HIV-positive men (≥ 18 years) initiating ART in Changsha, China. Cross-lagged panel analysis and half-longitudinal mediation analysis were used to examine how changes in personal attitudes influenced sexual behaviours.
427 men living with HIV were included at baseline, and 301 completed the follow-up survey. Sexual behaviours were associated with personal attitudes, namely safe sex fatigue, viral load/transmission beliefs, and sexual sensation seeking. More positive personal attitudes in these domains at baseline predicted lower safe sex self-efficacy over 3 months, while reduced baseline self-efficacy increased the likelihood of engaging in condomless sex and/or multiple sexual partners. All three personal attitude domains had significant indirect effects on sexual behaviours via safe sex self-efficacy.
In the era of U=U, the changed personal attitudes among men living with HIV may lead to the increased likelihood of engaging in condomless sex and/or having multiple sexual partners, and safe sex self-efficacy serves as a mediator in this relationship.
This study highlights the potential influence of attitudinal changes on sexual behaviours among men living with HIV in the ‘U=U’ era. Findings provide valuable evidence for developing more targeted interventions that address not only behavioural outcomes but also underlying personal attitudes.
No patient or public contribution.
To systematically review published studies on the post stroke delirium risk prediction models; and to provide the evidence for developing and updating the clinically available prediction models.
Systematic review.
Systematically searched studies on 10 databases, which were conducted from inception to 9 January 2025. The studies of post-stroke delirium risk prediction models were included.
Extracted the data from the selected studies. The Prediction Model Risk of Bias Assessment Tool checklist was used to evaluate the risk of bias of the models. The meta-analysis of model performance and common predictors was performed by Revman 5.4 and Medcalc.
A total of 12 studies were included, and 21 risk prediction models for post-stroke delirium were constructed. The combined effect size of area under the receiver operating characteristic curve was 0.84. All studies were found to have a high risk of bias and good applicability. Meta-analysis showed: National Institutes of Health Stroke Scale score, age, neutrophil-to-lymphocyte ratio, neglect, visual impairment and atrial fibrillation were independent predictors of post-stroke delirium.
The included studies all found to have a high risk of bias; future studies should focus on adopting more scientifically rigorous study designs and following the standardised reporting guidelines to enhance extrapolation and facilitate its clinical application.
This review may promote clinical healthcare workers to develop and update clinically available prediction models, thereby establishing risk prediction models with strong clinical utility.
This study presents the first systematic evaluation of delirium risk prediction models in stroke patients, thereby facilitating the choice, use and develop of the clinical usable post stroke delirium risk prediction models.
This review adhered to the PRISMA guidelines.
No patient or public contribution.
RD42024620360 (PROSPERO According to JAN Guidelines).
by Qinghua Wen, Xiaoyue Wang, Simin Li, Huanhuan Zhu, Fengyin Zhang, Chao Xue, Juan Li
BackgroundThe glucose disposal rate (eGDR) and a body shape index (ABSI) are predictors strongly associated with cardiovascular disease (CVD) and outcomes. However, whether they have additive effects on CVD risk is unknown. This study aimed to investigate whether combined assessment of eGDR and ABSI could improve prediction of CVD risk.
MethodsThe current study used data from NHANES from 1999 to 2018 and included 14,237 participants. Receiver operating characteristic (ROC) curve was used to evaluate the performance of each indicator in predicting CVD. Machine-learning algorithms were applied to screen variables to adjust the model. Finally, the ROC curve, net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive performance of the combination of eGDR and ABSI.
ResultsThe ROC curve showed that eGDR (C-statistics: 0.7255) and ABSI (0.7093) had the highest predictive performance. Among 14,237 participants, multivariate logistic regression showed that lower eGDR (≤6.448) and higher ABSI (≥0.086) significantly increased CVD risk (OR = 11.792, P Conclusion
The eGDR and ABSI have potential additive effects on predicting CVD risk, and have excellent predictive performance, which can evaluate cardiovascular risk more comprehensively.
This study aims to explore the trajectories and co-occurrence of perceived control and caregiver self-efficacy among patients with heart failure (HF) and their caregivers within 3 months post-discharge and identify associated risk factors.
A prospective cohort design.
A prospective cohort study was conducted from March to June 2024 in Tianjin, China. Information on perceived control and caregiver self-efficacy was collected 24 h before discharge, 2 weeks, 1 month, and 3 months after discharge. Group-Based Dual Trajectory Modelling (GBDTM) and logistic regression were used for analysis.
The study included 203 dyads of patients with HF and their caregivers (HF dyads). Perceived control identified three trajectories: low curve (15.3%), middle curve (57.1%) and high curve (27.6%). Caregiver self-efficacy demonstrated three trajectories: low curve (17.2%), middle curve (56.7%) and high stable (26.1%). GBDTM revealed nine co-occurrence patterns, with the highest proportion (36.7%) being ‘middle-curve group for perceived control and middle-curve group for caregiver self-efficacy’, and 16.7% being ‘high-curve group for perceived control and high-stable group for caregiver self-efficacy’. Age, gender, household income, NYHA class, symptom burden and psychological resilience were identified as risk factors for perceived control trajectories; marital status, regular exercise and psychological resilience were identified as risk factors for caregiver self-efficacy trajectories.
We identified distinct trajectories, co-occurrence patterns and risk factors of perceived control and caregiver self-efficacy among HF dyads. These findings help clinical nurses to better design and implement interventions, strengthening the comprehensive management and care outcomes for HF dyads.
These findings highlighted the interactive relationship between perceived control and caregiver self-efficacy trajectories, suggesting that interventions should boost both to improve personalised treatment plans and outcomes for HF dyads.
This study adhered to the STROBE checklist.
Patients and their caregivers contributed by participating in the study and completing the questionnaire.
Acute unstable syndesmosis injuries require accurate reduction and stable fixation to improve short-term and long-term outcomes. Several different fixation methods have been established for acute syndesmosis injuries, each with pros and cons. Although some meta-analyses have reported better outcomes with suture-buttons than screws, the optimal fixation method remains uncertain because of heterogeneous study results and limited comparisons of emerging techniques. This network meta-analysis combining randomised and observational studies aims to determine the optimal fixation method for acute syndesmosis injuries.
Five electronic databases (PubMed, Cochrane Library, China National Knowledge Infrastructure, Wanfang Data and Embase) will be comprehensively searched from their inception through 1 June 2025 for randomised and observational studies, published in English or Chinese, that compared two or more fixation methods for acute syndesmosis injuries. Inclusion and exclusion criteria will be used for selection based on patient, intervention, comparison, outcome and study standards. Risk of bias will be evaluated by the Cochrane risk-of-bias tool 2 and the Newcastle–Ottawa scale, respectively. Conventional pairwise meta-analyses with the DerSimonian–Laird random effects model will be conducted first, followed by network meta-analyses with a three-level Bayesian hierarchical model. The outcome measures include functional outcomes, radiological indicators and postoperative complications. Data analysis will be conducted using Review Manager 5.3 and R 4.1.2. Heterogeneity, transitivity and inconsistency tests, subgroup and sensitivity analyses and publication bias will also be assessed.
No ethical approval is required because all the data will be collected from published research. The results of this study will be published in a peer-reviewed journal.
INPLASY202480027.
To explore the illness coping experiences of patients with moderate-to-severe burns and provide a reference for healthcare professionals to formulate coping strategies.
Qualitative study using a descriptive phenomenological approach.
From 1 June to 30 September 2024, semi-structured interviews were conducted with 19 patients with moderate-to-severe burns. Colaizzi's seven-step method was used for data analysis.
Seven subthemes and three higher order themes were identified: (1) perception of illness experience; (2) coping with disease threats; and (3) benefits of coping with illness. Most of the participants faced multiple difficulties in their disease experiences, such as increased financial pressure, higher pressure on family caregiving, deformed physical conditions and negative emotions. Positive psychological qualities, family and social support played significant roles in coping with these challenges.
Patients with moderate-to-severe burns experience multiple difficulties during their recovery. Effective coping resources can help them overcome these challenges.
Healthcare professionals should work with patients with moderate-to-severe burns and their families to establish an effective support system that enhances patients' coping abilities and promotes their overall recovery.
Patients with moderate-to-severe burns face diverse challenges. However, their experiences and coping processes during recovery remain unclear. This study provided valuable insights into their illness experiences and coping strategies. The findings highlighted multiple difficulties, such as a significant increase in financial pressure and dependence on family caregiving, painful and deforming physical conditions and various negative emotions. Positive psychological qualities, family and social support play an important role in coping with these challenges. Healthcare professionals should work with patients and their families to establish effective support systems to promote overall recovery.
No patient or public involvement.
To explore the complex relationships among non-suicidal self-injury, depression and anxiety symptoms in adolescents, identify key symptoms and provide a theoretical foundation for targeted interventions.
A cross-sectional study.
In total, 1126 adolescents from a tertiary hospital in Shandong Province were assessed using the Adolescent Self-Injury Questionnaire, Patient Health Questionnaire and Generalised Anxiety Disorder Scale. Network analysis was employed to construct symptom networks and identify central and bridging symptoms.
The network analysis revealed that nodes GAD5 (Restlessness), GAD2 (Uncontrollable worry), and GAD4 (Trouble relaxing) exhibited the highest centrality indices, establishing them as core symptoms within the overall symptom network. The highest bridge intensity nodes were GAD1 (Nervousness), GAD5 (Restlessness) and non-suicidal self-injury.
By accurately identifying core and bridging symptoms, a scientific foundation is provided for developing precise and effective symptom management plans.
The study identified the most influential nodes in anxiety and depression among adolescents with non-suicidal self-injury. The findings would help in carrying out personalised and precise interventions to reduce non-suicidal self-injury occurrence and alleviate anxiety and depression symptoms among adolescents.
This study adheres to the STROBE guideline of reporting.
This study did not include patient or public involvement in its design, conduct or reporting.
by Jing Guo, Wenshuang Wang, Xiaoxue Zhang, Yulin Zheng, Xinran Wang
Frailty is a common multifactorial clinical syndrome in older patients that seriously affects their prognosis. However, most studies to date have ignored the dynamics of frailty. Therefore, we employed a one-month observational longitudinal study to explore frailty trajectories using a latent class growth model. In total, 155 older patients who underwent abdominal surgery involving the digestive system were assessed preoperatively, at discharge, and at the one-month follow-up, and multiple logistic regression analysis was conducted to identify factors influencing frailty trajectories. Four frailty trajectory patterns were identified: no frailty (13.5%), frailty exacerbation (40.0%), frailty improvement (20.0%), and persistent frailty (26.5%). Logistic regression analysis revealed that body mass index, the Charlson comorbidity index score, the type of surgery, the intraoperative drainage tube retention time (drainage time), the first time the patient got out of bed after surgery, the time of the first oral feed after surgery, postoperative complications, mobility, nutritional risk, and anxiety were associated with frailty trajectories. We identified four frailty trajectories in older patients undergoing abdominal surgery involving the digestive system and found that these trajectories were influenced by multiple factors. Focusing on individual specificity is conducive to accurately addressing frailty-associated clinical problems and guiding relevant nursing decisions.Radiotherapy (RT) can cause a range of negative impacts in addition to the intended treatment impacts. Pulmonary rehabilitation (PR) may improve the physical and psychological conditions of patients with lung cancer receiving RT, but specific evidence is lacking. This review mapped the evidence on PR in patients with lung cancer receiving RT for intervention characteristics and outcome assessments.
PubMed, EMBASE, CINAHL, Proquest, Web of Science, CNKI and WanFang were searched for studies from January 2003 to April 2025.
We included randomised controlled trials and non-randomised comparative intervention studies that included centre-based PR in patients ≥18 years with lung cancer who were receiving RT. PR was defined as any type of exercise, respiratory training, or both and/or at least one additional component (eg, psychological support). Studies were excluded if they were not available in English, were not full-text articles or were non-peer-reviewed.
Two reviewers independently screened titles, abstracts and full texts for inclusion and extracted data. PR components and the typology of outcome assessments used were mapped at the final data synthesis level.
Out of 3120 records, nine studies were investigated in the final data synthesis. In these studies, in addition to exercise or respiratory training, psychological support and disease education were the most common components of PR. Pulmonary function, quality of life, symptom assessment and exercise performance were commonly assessed outcomes in these included studies. Although the effectiveness of PR is difficult to synthesise, the evidence for improvements in exercise performance and symptoms of dyspnoea and anxiety/depression is promising.
Evidence on PR in patients with lung cancer receiving RT is sparse, and there is a heterogeneous understanding of PR. The development of standardised PR protocols and investigation of the capabilities of PR in this growing and under-represented patient population are essential.
Instant messaging-based applications are increasingly used to deliver interventions designed to promote health behavior change. However, the effectiveness of these interventions has not been evaluated.
This systematic review and meta-analysis aimed to evaluate the effectiveness of instant messaging-based interventions on health behavior change, addressing a gap in the literature regarding the impact of instant messaging on various health behaviors.
We conducted comprehensive searches of six electronic databases (PubMed, EMBASE, Cochrane Library, PsycINFO, CINAHL Plus, and Web of Science) from their inception until July 2024, utilizing terms related to health behavior and instant messaging. Two authors independently screened studies and extracted data. Randomized controlled trials published in English that investigated the effects of instant messaging-based interventions on health behavior change, including physical activity, sedentary behavior, sleep, diet/nutrition, cancer screening, smoking cessation, and alcohol consumption were included. We used the revised Cochrane Risk-of-Bias Tool to assess the quality of the studies.
Fifty-seven randomized controlled trials published between 2014 and 2024 were included. The results showed that compared with the control groups, instant messaging-based interventions had statistically significant differences in physical activity (SMD = 0.52, 95% CI [0.21, 0.83], p < 0.001) and sleep (SMD = −0.93, 95% CI [−1.44, −0.42], p < 0.001). It also significantly impacted smoking cessation (OR = 1.88, 95% CI [1.28, 2.7], p < 0.001). However, it did not influence sedentary behavior (SMD = 0.25, 95% CI [−0.24, 0.74], p = 0.01) or diet/nutrition (SMD = 0.01, 95% CI [−0.31, 0.34], p < 0.001).
Instant messaging-based interventions are promising in enhancing health behavior change, including physical activity, sleep, and smoking cessation. Leveraging real-time communication and multimedia content can improve patient engagement and intervention effectiveness.
The suicide rate of individuals with schizophrenia is higher than the general population. In clinical practice, it is essential to identify patients with schizophrenia who are at an elevated risk of suicide. However, previous studies may not fully account for potential factors that could influence the suicide risk among schizophrenia patients. Our study leverages machine learning to identify predictive variables from a broad range of indicators.
Cross-sectional.
A total of 131 patients with schizophrenia were recruited at the Mental Health Center of West China Hospital from August 2021 to July 2022. We collected complete blood analysis, thyroid function, inflammatory factors, childhood trauma experiences, psychological impact related to the Coronavirus Disease 2019 epidemic, sleep quality, psychological distress, income level and other demographic data. We utilised machine learning algorithms to predict the suicide risk of patients with the above features. The Shapley values were used to illustrate important predictive variables of suicide risk.
We gathered important variables for predicting suicide risk of patients with schizophrenia, such as the Nurses' Observation Scale for Inpatient Evaluation factor, neutrophil count, psychological impact during Coronavirus Disease 2019 epidemic, prolactin level and plasma thromboplastin component level.
The features identified in this study are anticipated to aid in the clinical identification of suicide risk in individuals with schizophrenia in the future. This study also promoted improvements in the suicide prediction model among patients with schizophrenia.
This study identified key predictive variables for suicide risk in schizophrenia patients using machine learning. Our findings will enhance clinical tools for assessing suicide risk in schizophrenia, potentially leading to more effective prevention strategies. This advancement holds promise for improving suicide prevention efforts and tailoring interventions to individuals' specific risk profiles.
STROBE Statement (for cross-sectional studies).
None.
by Yi Chi, Xueqin Yang, Donglin Deng, Peimao Li, Yingbiao Zhang
This study aimed to explore the relationship between circadian rhythm gene polymorphisms, specifically MTNR1A rs2119882 and CLOCK rs1801260, and the risk of acne in an occupational population. MTNR1A encodes a melatonin receptor involved in circadian rhythm regulation, while CLOCK is a core transcription factor in the molecular circadian clock. Both genes are essential in maintaining hormonal balance, sleep-wake cycles, and inflammatory responses—factors closely associated with acne pathogenesis. A case-control study was conducted among 90 participants, comprising acne-affected workers (AAG), acne-free workers (AFG), and healthy control group (HCG). Peripheral blood samples were collected, and DNA was extracted for genotyping of MTNR1A rs2119882 and CLOCK rs1801260 polymorphisms. Sociodemographic, lifestyle, and occupational data were obtained via structured interviews. Logistic regression models were used to assess the association between gene polymorphisms and acne risk, adjusting for relevant covariates. Sensitivity analyses were performed to evaluate the robustness of the findings. In the overall population, no significant association was found between MTNR1A rs2119882 polymorphisms and acne risk. However, CLOCK rs1801260 polymorphisms showed a strong association with acne susceptibility. Under the dominant model, participants carrying the AG/GG genotypes exhibited a significantly higher risk of developing acne compared to those with the AA genotype (unadjusted odds ratios (OR) = 3.79, 95% CI: 1.27–11.31; adjusted OR = 5.08, 95% CI: 1.41–18.33). In the additive model, the risk of acne increased with additional G alleles (unadjusted OR = 2.95, 95% CI: 1.22–7.13; adjusted OR = 3.51, 95% CI: 1.25–9.81). Subgroup analysis among night shift workers revealed a significant association between MTNR1A rs2119882 and acne risk, such that carriers of the CC genotype exhibited increased susceptibility (adjusted OR = 3.97, p = 0.049). Moreover, individuals with AG/GG genotypes at CLOCK rs1801260 showed an even higher risk (OR = 4.96, 95% CI: 1.22–20.14). This study suggests that circadian rhythm gene polymorphisms, particularly CLOCK rs1801260, are associated with acne risk, especially in individuals working rotating night shifts.To develop and validate a risk prediction model for oral frailty in elderly patients with ischaemic stroke.
A cross-sectional study.
A temporal cohort of 633 elderly isachemic stroke patients from May 2024 to February 2025 was chronologically divided into a training set (n = 443) and validation set (n = 190). Participants were classified into oral frailty and non-oral frailty groups based on the Oral Frailty Index-8. In the training set, feature selection combined least absolute shrinkage and selection operator regression and random forest recursive feature elimination, followed by Nomogram Construction via Binary Logistic Regression. The model underwent internal validation using bootstrap resampling, and its generalizability was assessed with the validation set. The model was comprehensively evaluated using Receiver Operating Characteristic (ROC) curves, the Hosmer-Lemeshow Test, Calibration Plots, and Decision Curve Analysis (DCA).
In both the training and validation sets, the prevalence of oral frailty among elderly ischaemic stroke patients was 63.2% and 62.1%, respectively. Wearing dentures, tooth brushing frequency, dry mouth symptoms, chewing difficulty, swallowing function, oral health literacy, and oral health status were identified as significant predictors of oral frailty. ROC analysis demonstrated strong discriminative ability of the nomogram. The Hosmer-Lemeshow Test confirmed model consistency, and the calibration curve indicated excellent and stable calibration performance. DCA revealed that the model provided significant net clinical benefit in clinical practice. This free, interactive dynamic nomogram is accessible at: https://xiaowen.shinyapps.io/dynnomapp/.
This study presents a reliable, accessible model to assess oral frailty risk in elderly ischaemic stroke patients, facilitating clinical identification of high-risk individuals and providing a scientific foundation for oral health interventions.
The nomogram helps healthcare professionals identify high-risk patients, understand risk factors, and improve oral health management.
TRIPOD-AI checklist.
No patient or public contribution.
We aimed to elucidate the underlying mechanisms influencing Oral nutritional supplementation (ONS) adherence in postoperative patients with gastric cancer (GC) by developing a structural equation model.
ONS represents a cost-effective nutritional intervention for postoperative patients with GC, with its efficacy largely dependent on sustained patient adherence over time. However, the interrelationships among the quality of discharge teaching (QDT), readiness for hospital discharge (RHD), medication beliefs and adherence to ONS remain inadequately understood.
A convenience sample of 505 postoperative patients with GC was recruited from January 1, 2023, to December 1, 2024, for a cross-sectional survey conducted at a tertiary-grade A specialised oncology hospital. The data of this study were subjected to descriptive analysis, Harman's one-way analysis of variance, Pearson correlation analysis and mediation effect analysis.
The STROBE checklist was employed for reporting in the study.
Pearson correlation analyses revealed that all four variables were significantly interrelated. Structural equation modelling showed that medication beliefs had the strongest correlation with ONS adherence (β = 0.589), followed by readiness for hospital discharge (RHD) (β = 0.557) and quality of discharge teaching (QDT) (β = 0.523). The structural equation model demonstrated a robust overall fit.
There was a significant chain mediation effect through RHD and medication beliefs. For the development of targeted intervention strategies to improve ONS adherence, future research should prioritise enhancing QDT, optimising RHD and strengthening patients' medication beliefs.
To help nurses and nursing managers formulate intervention measures to improve QDT, RHD, medication beliefs and ONS adherence in postoperative patients with GC.
To consolidate the best evidence on digital therapeutic interventions for self-management in patients with hip fragility fractures, providing a foundational guide for clinicians in developing digital therapy-based self-management plans.
Integrative review.
A comprehensive electronic search was conducted across multiple databases, including UpToDate, BMJ Best Practice, Joanna Briggs Institute, Health and Clinical Excellence, Cochrane Library, Embase, PubMed, Cumulative Index to Nursing and Allied Health Literature, Web of Science and Chinese databases like China National Knowledge Infrastructure and SinoMed. This study retrieved papers published from the establishment of the database to September 2023.
Studies were selected based on inclusion criteria, such as relevance to hip fragility fractures and self-management through digital therapies. Quality assessments were conducted independently by two reviewers using established tools for each type of study, ensuring the inclusion of high-quality evidence.
Fifteen studies were included: 4 guidelines, 5 expert consensus documents, 5 systematic reviews and 1 evidence summary. From these, 26 best practices were identified across 4 domains: digital design, self-management influencing factors, intervention plans and intervention content.
This integrative review provides a comprehensive, evidence-based summary of digital therapeutic interventions for self-management in patients with hip fragility fractures. The findings offer healthcare professionals a scientific basis for integrating digital therapy into clinical practice, highlighting its potential to enhance patient self-management.
This review underscores the value of digital therapies in empowering patients to take an active role in their rehabilitation, potentially improving adherence to self-management strategies and long-term outcomes.
No patient or public contribution was used for this study.
FreshRSS 