Conectar
To explore the lived experiences and daily interactions of older couples living with multimorbidity.
A descriptive-interpretive qualitative study based on a generic interpretive description framework.
A total of 20 dyads were recruited using a purposive sampling strategy, and 24 semi-structured in-depth interviews were conducted between May 2023 and January 2025. Reflexive thematic analysis was used to analyse data.
Four overarching themes were generated: (1) dynamic relationship structures; (2) diverse interaction patterns; (3) double burdens; and (4) double resilience. Dynamic relationship structures occurred in dyadic and triadic forms. Diverse interaction patterns involved independence, interdependence and dependence. Double burdens manifested as physical toll, financial hardship, emotional contagion and perceptual misalignment, whereas double resilience was reflected in the nudge effect, emotional resonance and promotion of family ownership of health.
This study adopted a dyadic perspective to explore the experiences and interactions of older couples living with multimorbidity. The caring dynamics and blurred roles of patient and care partner deviate from the traditional unidirectional, linear model of ‘one person caring for the other’. Formal or informal caregiving support from third parties, as well as the nudge effect and emotional resonance between spouses, may help orient older couples as they navigate the challenges associated with multimorbidity.
Our findings indicate that community nurses can play a proactive role in identifying older couples living with multimorbidity through routine care attendance and assessments, enabling early recognition of health management needs. Geriatric nurses can leverage insights into couples' interaction patterns to tailor more effective care plans at different stages of illness, monitor emerging risks and identify optimal timing for third-party support. By facilitating a responsive triadic network, nurses can help ensure continuous and sustainable health care.
Adhered to SRQR guidelines for qualitative research.
This study did not include patient or public involvement in its design, conduct, or reporting.
We aimed to identify the barriers and facilitators to participation in interventions aimed at improving cognitive function among older adults with type 2 diabetes mellitus (T2DM) and mild cognitive impairment (MCI) in rural areas.
This study is the qualitative phase of a larger randomised controlled trial and employs a descriptive approach.
We conducted in-depth, semi-structured face-to-face interviews with older adults diagnosed with T2DM and MCI in rural areas of China in November 2023. The interviews were guided by the Capability, Opportunity, Motivation, and Behaviour (COM-B) model and the Theoretical Domains Framework (TDF). The interview recordings were transcribed and analysed using NVivo V.11 software. Two research assistants independently coded the transcriptions, and the identified barriers and facilitators were mapped to the corresponding domains within the COM-B model and TDF.
A total of 26 older adults, aged 60–87, participated in the interviews. Nine themes were identified, including disease awareness, disease attitude, social interaction, responsibility and health, emotion guidance, organisational management, expertise and benefits, self-perception and role identity crisis. These themes mapped onto the three core components of the COM-B model as well as the nine domains of the TDF, which include: knowledge, environmental context and resources, social influences, intentions, emotions, reinforcement, beliefs about consequences, beliefs about capabilities and social identity.
Addressing barriers and leveraging facilitators can effectively enhance the willingness of elderly patients in rural areas to participate in interventions aimed at improving cognitive function. A multi-layered approach should be adopted, focusing on disease knowledge and attitudes, social interactions, the impact of the disease burden on both family and individuals, emotional state, organisational management, team expertise and timely assessment, individual self-efficacy and role perception.
The study adheres to the COREQ reporting guidelines.
The participants in this study were older adults with T2DM and MCI from rural areas. Participants were involved in the development of the interview guide and were subsequently interviewed regarding the facilitators and barriers to their participation in cognitive function interventions.
Symptom networks offer a new approach to explore the relationships among various symptoms and provide information for optimising precise symptom management strategies. However, no previous studies have identified the central symptoms of multidimensional frailty.
A cross-sectional study was conducted from December 2023 to March 2024 in China.
A total of 933 community-dwelling older adults (aged 60 years or older) in China were recruited via convenience sampling.
Sociodemographic variables, clinical variables and scores on the Tilburg Frailty Indicator were assessed in all participants. The qgraph package and IsingFit package of R software were applied to construct the symptom network. Three node centrality indices (strength, betweenness and closeness) and the expected influence were calculated to identify the central symptoms of the multidimensional frailty network. All statistical analyses were performed in R.
A total of 933 individuals were surveyed in this study, including 472 (50.6%) females. The median age of all participants was 71.0 years. A total of 408 subjects were assessed as multidimensional frailty. The prevalence of multidimensional frailty was 43.7%. The centrality indices revealed that ‘difficulty in walking’, ‘difficulty in maintaining balance’, and ‘feeling down’ were the symptoms with the largest strength and expected influence values.
This study primarily utilised network analysis to construct a symptom network of multidimensional frailty among community-dwelling older adults. The findings revealed that difficulty in walking, difficulty in maintaining balance, and feeling down were the most central symptoms.
This study identified the central symptoms of multidimensional frailty in older adults, which may serve as primary intervention targets. Nursing staff could incorporate targeted physical and psychological interventions into person-centred care plans.
This study was reported in accordance with the STROBE guidelines.
No patient or public contribution was involved in this study.
Skin temperature, including absolute temperature (at bony prominence areas under long-term compression) and relative temperature (the difference between bony prominence and adjacent control area), may serve as early warning indicators for PI. However, the optimal indicator remains unclear. This meta-analysis therefore synthesises evidence on their association with PI risk to identify the best indicator and evaluate its early-warning accuracy.
Systematic review and meta-analysis.
We included prospective cohort studies of adult patients investigating longitudinal associations between skin temperature and subsequent PI development. We pooled standardised mean difference (SMD) and odds ratios, complemented by summary receiver operating characteristic (SROC) curve analysis. The overall quality of evidence was evaluated using the GRADE method.
We researched PubMed, Embase, CINAHL, Cochrane Library (CENTRAL), Wanfang and CNKI databases from inception to September 25, 2024.
After screening 1354 titles and abstracts, ten studies comprising 1742 participants were included in the final synthesis. No significant difference in absolute temperature (combined SMD) was found between the PI and non-PI groups (seven studies included). In addition, decreased relative temperature (< −0.1°C) was associated with a 16-fold increased likelihood of PI (95% CI 6.38–40.19, I 2 = 79.4%) (three studies included), with the SROC curve analysis showing an AUC of 0.776. According to GRADE, the evidentiary certainty was very low for AT and low for RT.
Relative temperature is significantly related to the risk of PI, supporting its role as a promising early warning indicator. Future studies should establish a standardised measurement protocol to facilitate its clinical application.
Monitoring skin temperature changes holds promise as a non-invasive tool for early warning of PI risk. However, the amount and quality of available evidence limit our confidence in these findings, underscoring the need for further research before a definitive conclusion can be drawn.
This study followed PRISMA guidelines.
No patient or public contribution.
PROSPERO CRD42024550099
To evaluate the research capability of clinical nurses in China and identify the determinants associated with their capability.
As nursing evolves into an increasingly independent discipline, the research capability of clinical nurses has become critical for the development of the profession, advancing evidence-based practice and improving patient care quality.
A multicentre cross-sectional survey was conducted using convenience sampling from September 2023 to February 2024, among clinical nurses in tertiary hospitals across three provinces in China. The Nursing Research Capability Self-Assessment Scale was used to assess the research capability of the nurses. Chi-square tests, one-way analysis of variance and multiple linear regression were used to examine factors associated with research capability. The Strengthening the Reporting of Observational Studies in Epidemiology was followed.
A total of 1074 clinical nurses participated. The mean research capability score was 89.11 ± 27.69, reflecting a moderate level of research capability. However, two dimensions of research questions and literature review received lower scores. Multiple linear regression analysis identified that education level, professional title, administrative position and nursing job title (all p < 0.05) were independent predictors of research capability.
Clinical nurses exhibit moderate research capability, with notable deficiencies in formulating research questions and conducting literature reviews. Key factors influencing research capability include education, professional title, administrative position, and job title. Targeted training and development programmes should address these factors to enhance nurses' research competence and advance nursing science.
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.
To explore the network characteristics of symptom clusters in people with type 2 diabetes mellitus through network analysis, identify the core and bridging symptoms within the symptom network, and provide a foundation for targeted interventions and symptom management in people with T2DM.
A cross-sectional survey.
A total of 360 people with T2DM who were hospitalised in the endocrinology departments of two hospitals with Grade A in Daqing City between August 2024 and February 2025 were selected using a convenience sampling method. The symptoms of people with T2DM were measured using the Chinese version of the Diabetes Symptom Checklist-Revised (DSC-R). Symptom clusters were identified through factor analysis, and network analysis was used to identify core and bridging symptoms. This research adhered to the STROBE guidelines.
Six symptom clusters were obtained from factor analysis, which were psychological-behavioural symptom cluster, ophthalmological-neuropathy symptom cluster, cardiovascular symptom cluster, metabolic symptom cluster, body symptom cluster and nephrotic symptom cluster. Symptom network analysis revealed that ‘Deteriorating vision’ exhibited the highest strength centrality and expected influence. The top three symptoms with the highest bridge strength and bridge expected influence were ‘Aching calves when walking’, ‘Queer feeling in the legs or feet’ and ‘Sleepiness or drowsiness’.
People with T2DM commonly exhibit a range of symptoms. ‘Deteriorating vision’ is the most core symptom in people with T2DM. ‘Aching calves when walking’, ‘Queer feeling in the legs or feet’ and ‘Sleepiness or drowsiness’ are identified as the bridging symptoms in the network analysis. Healthcare professionals can design targeted interventions based on symptom clusters, core symptoms and bridging symptoms, thereby improving the efficiency of symptom management and optimising outcomes for people with T2DM.
No patient or public contribution.
To systematically identify and appraise existing risk prediction models for EN aspiration in adult inpatients.
A systematic search was conducted across PubMed, Web of Science Core Collection, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Biomedical Literature Database (CBM) and VIP Database from inception to 1 March 2025.
Systematic review of observational studies.
Two researchers independently performed literature screening and data extraction using the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). The Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed to evaluate both the risk of bias and the clinical applicability of the included models.
A total of 17 articles, encompassing 29 prediction models, were included. The incidence of aspiration was 9.45%–57.00%. Meta-analysis of high-frequency predictors identified the following significant predictors of aspiration: history of aspiration, depth of endotracheal intubation, impaired consciousness, sedation use, nutritional risk, mechanical ventilation and gastric residual volume (GRV). The area under the curve (AUC) was 0.771–0.992. Internal validation was performed in 12 studies, while both internal and external validation were conducted in 5 studies. All studies demonstrated a high risk of bias, primarily attributed to retrospective design, geographic bias (all from different parts of China), inadequate data analysis, insufficient validation strategies and lack of transparency in the research process.
Current risk prediction models for enteral nutrition-associated aspiration show moderate to high discriminative accuracy but suffer from critical methodological limitations, including retrospective design, geographic bias (all models derived from Chinese cohorts, limiting global generalisability) and inconsistent outcome definitions.
Recognising the high bias of existing models, prospective multicentre data and standardised diagnostics are needed to develop more accurate and clinically applicable predictive models for enteral nutrition malabsorption.
Not applicable.
PROSPERO: CRD420251016435
To refine fall risk assessment scale among older adults with cognitive impairment in nursing homes.
A cross-sectional survey.
Mokken analysis was conducted to refine the assessment scale based on unidimensionality, local independence, monotonicity, dimensionality, and reliability. Data were gathered from cognitively impaired older adults in a nursing home from January to February 2023. Trained nursing assistants conducted face-to-face assessments and reviewed medical records to administer the scale.
Emotion and State Dimension did not meet unidimensionality criteria (H = 0.14), particularly item Q9, which also violated local independence. Monotonicity analysis showed all items exhibited monotonic increases. After refinement at c = 0.3, the scale consists of nine items. With increasing c-values, the first seven items were ultimately retained to form the final version of the scale. Both optimised scales (9-item and 7-item) satisfied reliability requirements, with all coefficients (Cronbach's α, Guttman's lambda-2, Molenaar-Sijtsma, Latent Class Reliability Coefficient) ≥ 0.74.
The scale is suitable for assessing fall risk among older adults with cognitive impairment, with a unidimensional scale of the first seven items recommended for practical use. Future efforts should refine the scale by exploring additional risk factors, especially emotion-related ones.
The refined 7-item scale provides nursing home staff with a practical, reliable tool for assessing fall risk in cognitively impaired older adults, enabling targeted prevention strategies to enhance safety and reduce injuries.
The refined 7-item scale provides nursing home staff with a reliable, practical, and scientifically validated tool specifically designed for assessing fall risk in older adults with cognitive impairment. Its simplicity enables efficient integration into routine clinical workflows, empowering caregivers to proactively identify risk factors and implement timely, targeted interventions. This approach directly enhances resident safety by translating assessment results into actionable prevention strategies within daily care practices.
This study was reported in accordance with the STROBE guidelines.
No Patient or Public Contribution.
At-risk mothers experience disproportionately higher rates of antenatal depression and anxiety, which can hinder mother–infant bonding and adversely affect infant socioemotional development. Despite growing evidence on postpartum mental health, antenatal risk factors among psychosocially vulnerable mothers remain underexplored, particularly in multi-ethnic Asian settings.
To identify factors associated with antenatal depression, anxiety, and maternal–fetal bonding among at-risk mothers.
This cross-sectional observational study was nested within an ongoing randomised controlled trial. Two hundred at-risk mothers, defined as single, of low socioeconomic status, referred for psychosocial support, at risk of depression, with adverse childhood experiences, or with a fetus with a congenital malformation, were recruited from outpatient obstetric clinics between February and September 2024. Participants completed online self-administered questionnaires assessing antenatal depression, anxiety, perceived stress, social support, parenting self-efficacy, and maternal–fetal bonding. General Linear Models were used to analyse data and identify factors associated with depression, anxiety, and bonding.
Higher perceived stress was associated with increased depression (β = 0.28, p < 0.001) and anxiety (β = 1.28, p < 0.001) and poorer bonding (β = 0.08, p = 0.02), while greater social support predicted lower anxiety (β = −0.31, p < 0.001). Higher parenting self-efficacy was linked to stronger bonding (β = −0.09, p = 0.06). Younger mothers (β = −2.68, p = 0.025) and Indian mothers (β = 7.46, p = 0.017) were particularly vulnerable to anxiety, whereas post-secondary education was protective against depression (β = −1.44, p = 0.02). Model fit ranged from 0.14 to 0.65.
Perceived stress, social support, and parenting self-efficacy significantly influenced antenatal mental health and bonding in at-risk mothers. These findings underscore the need for culturally sensitive, nurse/midwife-led interventions that integrate early screening, stress reduction, and empowerment strategies within routine antenatal care to strengthen maternal mental health and early bonding outcomes.
(1) Nurses and midwives play a critical role in screening for antenatal depression and anxiety in mothers with risk profiles highlighted in this study. (2) Culturally responsive nursing practice that demonstrates sensitivity towards sociocultural pressures is needed to provide individualised care. (3) Integration of digital and community-based antenatal education programs could provide more equitable access to care for at-risk mothers who may face barriers to in-person care.
(1) Despite having a higher susceptibility for antenatal mental health conditions, risk factors for antenatal depression, anxiety, and maternal–infant bonding have been underexplored in at-risk mothers. (2) Antenatal stress and anxiety are universally associated with depression across risk groups, while maternal self-efficacy and perceived social support serve as key protective factors. (3) The findings from this study suggest the need for early screening and nurse-led interventions that support maternal parenting self-efficacy and stress management to improve maternal mental health outcomes among at-risk mothers.
STROBE reporting checklist.
No patient or public contribution.
To explore the concurrent trajectories of depressive symptoms and insomnia among adolescents and to analyse the individual, familial and social predictors of the concurrent trajectories.
This study tracked depressive symptoms and insomnia in eight secondary schools annually from 2021 to 2023. We also collected data on individual, familial and social factors that may influence these conditions. Group-based multi-trajectory (GBMT) modelling was used to categorise adolescents into depressive–insomnia severity subgroups.
This study included 2822 adolescents, who were categorised into four groups, including the no symptom group, mild symptom group, symptom relief group and symptom increase group. Compared with the no symptom group, predictors of the mild symptom group were gender (OR = 1.30), academic performance (OR = 1.57), subjective well-being (OR = 0.78), anxiety (OR = 1.14), economic status (OR = 1.23) and relationship with teachers (OR = 1.46). Predictors of the symptom relief group were personality (OR = 1.75), academic performance (OR = 2.28), subjective well-being (OR = 0.69) and anxiety (OR = 1.25). Predictors of the symptom-increasing group were personality (OR = 2.45), academic performance (OR = 1.96), subjective well-being (OR = 0.69), anxiety (OR = 1.20), maternal education level (OR = 1.58), family function (OR = 0.93), parental relationship (OR = 2.07) and relationship with teachers (OR = 1.54).
This study provided a comprehensive understanding of the concurrent trajectories of depressive symptoms and insomnia among adolescents, revealing distinct subgroups and identifying predictors across individual, familial and social levels.
This study emphasises the importance of a multi-faceted approach involving family, school and society to promote adolescent mental health and also highlights the need for conducting precise interventions according to adolescents' features.
The identification of four distinct symptom trajectories and their predictors advances the understanding of adolescent mental health development, informing precision prevention strategies.
STROBE checklist.
None.
To develop a comprehensive and psychometrically validated scale for evaluating the core competencies of community nurses for public health emergencies.
A study of instrument development and validation was conducted.
A total of 1057 community nurses provided valid responses for this study conducted in Shanghai, China. Building upon previous study findings of the adapted core competency model and integrating the World Health Organisation's Framework for Action, this study was conducted in two phases. First, scale items were developed through systematic review, qualitative research, stakeholder meeting, and Delphi survey, refined with cognitive interviews to establish version 1.0 of the scale. Second, item analysis was performed with item-total correlations, Cronbach's alpha, and exploratory factor analysis, resulting in version 2.0. The final scale was produced after assessing the validity (content validity, confirmatory factor analysis, known-groups validity) and reliability (internal consistency, test–retest reliability).
The final scale consisted of 47 items categorised into four competency factors: prevention, preparation, response, and recovery competency. Factor analysis results indicated adequate factor loadings, excellent model fit, and well-established construct validity. The overall scale and its sub-factors exhibited high internal consistency and good test–retest reliability.
The study presents a theoretically grounded and scientifically validated scale measuring the competencies that community nurses need for public health emergency response.
This study enhances the theoretical framework of community nurses' core competencies in public health emergencies, provides a validated assessment tool, and clarifies their role in enhancing preparedness and effectiveness.
The study addressed the need for a standardised tool for assessing community nurse core competency for public health emergencies and will impact policy initiatives to enhance early prevention, emergency response, and integrated recovery practices in crisis management.
Strengthening the Reporting of Observational studies in Epidemiology checklist.
No Patient or Public Contribution.
The study examines the associations between nursing competence, work environment, and health system resilience. It also analyzes how nursing competence and work environment relate to different patterns of health system resilience.
A multiple center cross-sectional study was conducted between December 2023 and January 2024 across 33 hospitals in eastern China, involving 2435 nurses.
Questionnaires measuring nursing competence, work environment resources, nurse disaster resilience, and organizational commitment to resilience were utilised, along with the collection of additional personal demographic data. Structural equation modelling and cluster analysis were performed to explore the underlying mechanisms within the overall model and across multiple groups. Multivariable regression was conducted to identify variables associated with resilience in different subgroups.
Structural equation modelling demonstrated significant influences of nursing competence and work environment support on system resilience. Cluster analysis identified four resilience patterns: strong, marginal, low, and critical vulnerability. Strong resilience correlated with balanced individual-organizational resources, while vulnerable systems relied heavily on environmental support.
Our findings support policymakers and managers in developing systematic strategies with distinct focal points—targeting nurse workforce investment and optimised work environment—to enhance health system resilience across varying levels of public health emergencies.
This study validated the framework connecting individual and organizational resilience, offering evidence-based insights for nurse training and resource allocation to enhance healthcare systems' adaptability during disasters.
The study addressed how nursing competence and work environment significantly influenced resilience during public health emergencies, identified four resilience patterns, and provided insights to guide policymakers and healthcare managers in developing targeted, effective strategies.
Strengthening the Reporting of Observational studies in Epidemiology checklist.
No patient or public contribution.
The aim of this study was to integrate Social Exchange Theory and the Ability—Motivation—Opportunity (AMO) Theory to examine the influence of organisational innovation climate on nurses' innovative behaviour, considering the mediating role of knowledge sharing and the moderating effect of person-organisation fit, thereby providing a multidimensional theoretical foundation for enhancing nurses' innovative behaviour.
A cross-sectional research design was adopted.
Participants included 380 nurses from two Grade-A tertiary hospitals in Henan Province, China. Data were collected using the Organisational Innovation Climate Scale, Knowledge Sharing Scale, Nurses' Innovative Behaviour Scale and Person-Organisation Fit Scale and analysed via descriptive statistics, correlation analysis, regression analysis and bootstrap testing for mediation and moderation effects.
Organisational innovation climate was positively correlated with nurses' innovative behaviour and knowledge sharing partially mediated this relationship. Person-organisation fit positively moderated both the direct relationship between organisational innovation climate and knowledge sharing and the indirect effect on innovative behaviour.
Under a supportive organisational innovation climate, nurses with high person-organisation fit are more likely to engage in innovative behaviour through knowledge sharing.
Establishing an organisational innovation climate and improving person-organisation fit can enhance nurses' work engagement and loyalty, advancing innovation and development in nursing.
Nursing managers should cultivate an innovation-friendly climate and facilitate knowledge sharing to inspire proactive problem-solving and innovation among nurses, ultimately improving nursing practice and patient care.
STROBE guidelines were followed.
This study clarifies how organisational and individual factors jointly affect nurses' innovative behaviour, providing a theoretical foundation for improving nursing management, service quality and disciplinary innovation.
Nurse-led interventions have demonstrated effectiveness in managing emergence delirium (ED), but there is a lack of evidence in pediatric studies.
To systematically synthesize the evidence on the effectiveness of the nurse-led interventions on ED in pediatric patients.
A comprehensive literature search was conducted in PubMed, CINAHL, EMBASE, MEDLINE, Web of Science, Cochrane Library, and APA PsycINFO from the inception to January 13, 2025. Risk of bias was assessed by using the revised Cochrane risk-of bias tool (ROB2) and the Cochrane risk of bias in non-randomized studies-of interventions (ROBINS-I). The meta-analysis was performed using Stata16.0. The forest plots showed the overall effect of the included study.
A total of 20 studies were included, involving 2369 children, comprising 17 RCTs, 1 quasi-experimental study and 2 cohort studies. Compared with usual care, nurse-led interventions significantly reduced the incidence of ED (risk ratio [RR]: 0.50, 95% confidence interval [CI]: 0.33 to 0.77, p = 0.002, I 2 = 77.2%), m-YPAS scores (weighted mean difference [WMD]: −7.67, 95% CI: −10.96 to −4.39, p = 0.000, I 2 = 91.7%), PAED scores (WMD: −1.47, 95% CI: −2.35 to −0.60, p = 0.000, I 2 = 91.3%), and FLACC scores (WMD: −0.97, 95% CI: −1.59 to −0.35, p = 0.000, I 2 = 92.9%). However, no significant effect was observed on the length of PACU stay or the anesthesia induction compliance.
Nurse-led interventions can reduce the incidence and severity of ED in children, as well as in alleviating preoperative anxiety and postoperative pain. However, more research is needed on influencing PACU length of stay and induction compliance.
Nurse-led interventions can be integrated into the perioperative management of children to reduce the incidence of ED. However, in clinical practice, these interventions should be flexibly adapted based on the individual differences of pediatric patients.
This study protocol was registered on PROSPERO with the registration number CRD42024601191
To assess the acoustic environment of operating rooms (ORs) and its impact on nurses' perceptions in three surgical departments in a general hospital.
A mixed-methods study.
This study integrated sound level measurements, structured behavioural observations and a cross-sectional questionnaire survey. Acoustic data were collected during 41 surgeries in orthopaedics, general surgery and obstetrics–gynaecology. Observations identified typical noise events, and a validated questionnaire was used to assess perceived noisiness, communication and work efficiency interference, annoyance and the importance of a quiet environment.
Average noise levels in ORs exceed safety recommendations. The highest noise intensities occurred in the preoperative stage, primarily due to anthropogenic sources such as conversation, door movement and instrument collisions. Mid-frequency noise is dominant and overlaps with speech frequencies. Nurses identified conversation as the most frequent and disturbing noise source. Greater years of experience correlated with higher perceived noisiness, communication interference and annoyance.
Operating room noise affects nurses' communication, work efficiency and psychological comfort. As clinical experience increases, perceived cognitive load also rises. Anthropogenic noise sources are a major disruptive factor in a healthy OR environment and should be addressed through targeted interventions.
Noise mitigation should combine behavioural management, acoustic design and spatial optimisation to enhance nursing well-being and performance.
The study examined the impact of excessive OR noise on nurses' work performance and subjective well-being. OR noise exceeded safe thresholds, with conversation identified as the dominant and most disturbing source, particularly during preoperative phases. The findings inform OR design, management and training practices in surgical environments globally, with benefits for nursing staff.
This study followed STROBE guidelines.
No patient or public contribution.
Chinese Clinical Trial Registry (ChiCTR): ChiCTR2000038787
To explore latent profiles of social isolation in maintenance haemodialysis (MHD) patients and to analyse the factors influencing different latent profiles.
Multicentre cross-sectional study.
Between November 2024 to March 2025, 305 MHD patients from the haemodialysis centres of three hospitals in Henan Province, China, were recruited using a convenience sampling method. All participants completed the general information questionnaire, Lubben Social Network Scale 6 (LSNS-6), UCLA Loneliness Scale-6 (ULS-6) and Personal Mastery Scale. Latent Profile Analysis (LPA) was used to classify the participants into potential subgroups with different types of social isolation. The influencing factors of profiles were explored by univariate analysis and multiple logistic regression analysis.
Social isolation of 305 patients can be divided into three profiles: the family-friend dual isolation group (14.10%), friend isolation-only group (47.54%), and social network well-being group (38.36%). Multivariable logistic regression analysis revealed that monthly personal income, living arrangement, social participation, dialysis time, post-dialysis fatigue, number of comorbidities, loneliness and personal mastery were identified as factors influencing the profiles.
There is heterogeneity in social isolation among MHD patients. It is therefore necessary to implement targeted intervention measures based on the distinct characteristics of each subgroup to facilitate their social reintegration.
Nurses should identify differences in social isolation among MHD patients. It is necessary to establish tripartite connections between families, hospitals and communities, and develop personalised psychosocial interventions to alleviate social isolation.
The study identified distinct subgroups of social isolation among MHD patients, while emphasising the impact of psychological resources such as loneliness and personal mastery on social isolation. This may offer critical insights for nurses to develop targeted interventions for patients' social health.
The study followed the STROBE guidelines for cross-sectional studies.
No patient or public involvement.
Urinary incontinence, often perceived as embarrassing, perpetuates the stigma that delays treatment and encourages concealment. This stigma significantly diminishes quality of life and imposes both financial and medical burdens. Although prior research has examined stigma reduction in urinary incontinence, it persists as a widespread issue. Most studies have focused on interviews, primarily addressing urine leakage, with a limited understanding of the factors influencing urinary incontinence stigma and their interrelations. More in-depth quantitative studies are crucial to inform targeted interventions.
(1) To develop targeted interventions aimed at alleviating urinary incontinence-related stigma in older adults. (2) To identify factors that mitigate stigma in older adults with urinary incontinence. (3) To examine the associations between these factors and stigma.
Cross-sectional survey.
A cross-sectional survey was conducted with 510 older adults across three hospitals in Guangdong from July 2022 to January 2024, utilising the SSCI-24 and Incontinence Severity Index. Three multivariate linear regression models, adjusted for covariates based on directed acyclic graphs, were employed to explore the relationships between variables and stigma. Additionally, subgroup analyses were performed.
Participants reported higher levels of self-stigma compared to perceived stigma. Multivariate analysis revealed significant associations between urinary incontinence type, severity, frequency of micturitions and stigma. Key factors contributing to stigma reduction include managing incontinence severity, reducing frequency of micturitions and preventing the progression to mixed incontinence.
The study identified associations between urinary incontinence characteristics—type, severity and frequency of micturitions—and stigma. Strategies for stigma reduction are proposed, underscoring the vital role of nurses in this process.
The findings of this study contribute to a deeper understanding of stigma surrounding urinary incontinence in older adults and provide insights for developing more effective interventions by healthcare professionals and community caregivers.
This study adhered to the STROBE checklist for observational studies.
No patient or public contribution.
FreshRSS 