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.
To identify distinct social network types among young-old adults based on the characteristics of social network structure and to explore the relationship between different types, socio-demographic characteristics and subjective cognitive decline.
A cross-sectional study was conducted from July 2022 to October 2023.
A total of 652 young-old adults aged 60–74 years completed the sociodemographic questionnaire, the subjective cognitive decline questionnaire-9 and the self-designed egocentric social network questionnaire. The types of social networks were identified by latent profile analysis. Univariate analysis and binary logistic regression were used to analyse the influencing factors of subjective cognitive decline.
The incidence of subjective cognitive decline was 38%. Social networks of young-old adults tended to be large, predominantly family-centred and characterised by strong contact strength, high density and significant demographic heterogeneity among network members. Four social network types were identified: diverse-moderate, family-dense, family-strong and friend-loose. Young-old adults embedded in the family-dense and family-strong types were more likely to develop subjective cognitive decline than those in the diverse-moderate type. Additionally, age, education level, previous occupation, daily sleep duration and exercise were related to the incidence of subjective cognitive decline.
The findings highlight the relatively high incidence of subjective cognitive decline in young-old adults that is notably influenced by the type of social network they are embedded in. More attention needs to be paid to identifying and supporting young-old adults at high risk of subjective cognitive decline, especially to promote their social integration and friend network building, to improve their subjective cognitive function.
The findings emphasise the importance of considering the structure and composition of social networks when addressing subjective cognitive decline among young-old adults. A diversified social network incorporating both familial and friendship ties may provide enhanced cognitive protection. Therefore, interventions targeting subjective cognitive decline should promote the expansion of friendship-based relationships and foster the development of more heterogeneous and multi-source networks.
STROBE checklist.
Not applicable.
by Zhizhong Wang, Sen Xu, Ailong Lin, Chunxian Wei, Zhiyong Li, Yingchun Chen, Bizhou Bie, Ling Liu
Vascular dementia (VaD), a neurodegenerative disease driven by vascular pathology, requires multi-targeted therapeutic strategies. This study employs an integrated in silico approach to evaluate the neuroprotective potential of natural ligands against key proteins implicated in VaD pathogenesis. Using molecular docking and normal mode analysis (NMA), four natural compounds (Galangin, Resveratrol, Curcumin, and Licocumarone) were assessed for their binding affinity and structural influence on six target proteins: APLP1, APOE, CLDN5, SOD1, MMP9, and MTHFR. Docking analysis revealed that galangin exhibited the highest binding affinity to APLP1 (−8.5 kcal/mol), resveratrol to MTHFR (−8.1 kcal/mol), and curcumin showed dual efficacy toward APOE (−7.2 kcal/mol) and MMP9 (−8.0 kcal/mol). Licocumarone demonstrated notable stabilization of CLDN5 and SOD1. The NMA results indicated ligand-induced stabilization of protein cores and enhanced flexibility in loop regions, which may impact amyloid aggregation, oxidative stress, and blood-brain barrier integrity. Pathway enrichment using the KEGG and Reactome databases identified significant involvement of the IL-17 and TNF signaling pathways, along with leukocyte transendothelial migration, linking inflammation with vascular dysfunction. APOE emerged as a central node within the protein-protein interaction network, highlighting its regulatory importance. This study highlights the therapeutic relevance of natural ligands as cost-effective modulators of multiple VaD-associated pathways. The combined use of molecular docking, protein dynamics, and enrichment analyses provides a comprehensive computational framework for early-stage drug discovery. These findings warrant further experimental validation to advance the development of targeted, mechanism-driven interventions for vascular dementia.Childhood obesity has surged globally, leading to various metabolic comorbidities and increased cardiovascular risks. Early intervention in lifestyle and feeding practices during infancy is crucial to mitigate these risks. This study evaluates the efficacy of a mobile web app-based intervention tool, named the Feeding, Lifestyle, Activity Goals (FLAGs) to promote healthier eating behaviours and lifestyle habits in infants from birth to 12 months.
This two-arm randomised controlled trial will enrol 220 caregiver-infant pairs per arm at KK Women’s and Children’s Hospital, Singapore, with recruitment expected from January to December 2025. Eligible participants include women at ≥34 weeks’ gestation or up to 3 days post delivery with pre-pregnancy overweight/obesity (body mass index (BMI) >23 kg/m2) and/or a diagnosis of diabetes. Caregiver-infant pairs will be randomised to the FLAGs intervention or control group. Over 12 months, both groups will receive standard infant care. The intervention group will undergo regular assessments via the FLAGs web app built-in assessment tool, assessing infant feeding practices, sedentary behaviour and physical activity. The intervention group will also receive FLAGs personalised guidance and weekly digital nudges. Maternal and infant data will be collected at baseline and at 12 months. Primary outcomes are infant BMI, weight-for-length and body composition at 12 months. Secondary outcomes include lifestyle behaviours and eating habits assessed through validated questionnaires when the infants are 1 year old. We will perform both intention-to-treat and per protocol analysis.
Ethical approval has been obtained from the SingHealth Centralised Institutional Review Board (Ref: 2024/3224). Written informed consent will be obtained from all participants. Study findings will be disseminated via peer-reviewed publications and academic conferences, with de-identified data available on reasonable request. This trial is registered on ClinicalTrials.gov (ID: NCT06457750).
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 determine the association between patient characteristics, techniques, and technologies with first-time peripheral intravenous catheter insertion in paediatric acute care.
Single-centre, prospective cohort study.
Data on patient, provider, and peripheral intravenous catheter insertion characteristics were collected at a large quaternary paediatric hospital in Queensland, Australia. Inpatients aged 0 to ≤ 18 years requiring a peripheral intravenous catheter or who had one inserted in the last 24 h, were eligible. Proportionate stratified random sampling was used. Generalised linear regression with modified Poisson regression assessed associations between patient variables (e.g., age) and first-time insertion success, along with technique (e.g., inserting clinician) and technology (e.g., ultrasound) variables. Models were adjusted for confounding variables identified through direct acyclic graphs.
199 children required 250 peripheral intravenous catheters (July 2022–September 2023). In the adjusted model, each year of age increase and every 5-kg increase in weight were associated with higher first-time insertion success. Children with a history of prematurity had an increased risk of first-time insertion failure. Vascular access specialists were more likely to succeed on the first attempt, as was ultrasound-guidance when adjusted for difficult intravenous access risk.
We identified techniques (expert clinicians) and technologies (ultrasound guidance) that improve first-time insertion success in paediatric patients.
A multi-faceted approach combining technique (clinician), technology (ultrasound guidance), and standardised policy can improve first-time peripheral intravenous catheter insertion. These strategies minimise patient discomfort, trauma, and emotional distress, enhancing the overall healthcare experience for children and their families.
This study emphasises the need to standardise healthcare policies and training, incorporating clinician expertise and ultrasound guidance to improve first-time insertion success, particularly for high-risk patients.
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE).
No Patient or Public Contribution.
Australia New Zealand Clinical Trials Registry, ACTRN12622000034730
To explore the social context of violence for hospital-based and community nurses from different ethnic groups, the types of violence experienced or witnessed both in and outside the workplace, and its impact on mental and physical health.
Cross-sectional, qualitative study using semi-structured interviews.
Semi-structured interviews were conducted online with 12 hospital-based and community nurses recruited from London, England, between May and August 2021. Data were analysed using reflexive thematic analysis.
The sample comprised seven hospital nurses and five community nurses. Four themes were identified: (i) the social context in which nurses from different ethnic groups are exposed to community violence; (ii) types of workplace violence experienced or witnessed by hospital-based and community nurses from different ethnic groups; (iii) perceptions of the factors contributing to workplace violence; (iv) impacts of violence on mental and physical health outcomes. Using the social ecological framework and sociological theory of stress, these findings informed a conceptual stress process model of violence exposure for nurses.
Nurses from different ethnic groups are exposed to violence both in and outside the workplace which negatively affects their mental and physical health. Effective violence prevention requires a multi-factorial approach that addresses the social and institutional factors contributing to violence, shifting the focus from individual measures to systemic organisational changes.
The NHS workforce is currently more diverse than ever, and healthcare leaders must improve access to mental health and well-being resources for staff affected by workplace violence, particularly for those who hold multiple social identities at the intersection of ethnicity, gender and age. Prioritising this support is essential not only to safeguard against negative health outcomes but also to improve the recruitment and retention of healthcare professionals.
No patient or public contribution.
This paper examines the impact of India’s National Publicly Funded Health Assurance Scheme, Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana (PM-JAY), in Haryana on out-of-pocket (OOP) expenses and catastrophic health expenditure (CHE).
We conducted a case-control study using a stratified random sampling approach.
Six districts in Haryana, based on utilisation, were selected: Mewat, Faridabad, Sonipat, Ambala, Kurukshetra and Karnal.
A total sample size of 772 individuals, that is, 386 PM-JAY beneficiaries (cases) and non-beneficiaries (controls) each.
Data were collected using a semistructured questionnaire covering household demographics and expenditure details. The interview gathered information on hospitalisation within the past year, types of ailments, the type of empanelled facility visited, expenditure details and borrowing/selling of assets for treatment.
Mean OOP expenditure was calculated for beneficiaries and non-beneficiaries based on the type of healthcare provider. The impact of PM-JAY on OOP expenditure was analysed using a generalised linear model controlling for religion, caste, type of house, type of family, morbidity patterns, type of disease, type of health facility, hospital stay duration, average distance to the facility and travel time. CHE was defined as OOP payments ≥30% of household income. Logistic regression was used to assess the determinants of CHE.
We found that direct medical expenses incurred for hospitalisations were 65% lower for beneficiaries (11 131 rupees) compared with non-beneficiaries (31 675 rupees). While OOP expenditures are similar for both groups in public empanelled hospitals, non-beneficiaries incur OOP costs three times higher than PM-JAY beneficiaries in private empanelled hospitals. Factors, including the disease type, average distance from home to the facility, average travel time and type of hospital, significantly influence these expenses. Furthermore, the prevalence of CHE is significantly lower among PM-JAY beneficiaries (13.3%) compared with non-beneficiaries (45.9%), with an OR of 7.15 (95% CI: 4.74 to 10.80; p
Our analysis shows the scheme’s impact on decreasing OOP expenditure and CHE. To enhance the scheme’s effectiveness, the study highlights the necessity of addressing non-medical expenses and expanding coverage for indirect costs, such as food, accommodation and transportation. Additionally, strengthening the supply side through improved drug availability at healthcare facilities is crucial for enhancing financial protection and access to care.
To investigate the correlation between fat-to-muscle ratio (FMR) or other body composition and secondary osteoporosis (OP) in patients with rheumatoid arthritis (RA) and to develop a predictive model using FMR and related clinical factors.
Cross-sectional observational study with machine learning-based risk modelling.
Tertiary hospital in eastern China, secondary care level.
A total of 670 hospitalised RA patients (135 males and 535 females; aged 58.00 (50.00–67.00) years; disease duration 8.00 (2.00–16.00) years) and 126 healthy controls were recruited between October 2019 and October 2022. There were no differences in basic indicators such as gender, age distribution and body mass index between the two groups. RA diagnosis followed American College of Rheumatology (ACR) 1987 or ACR/European League Against Rheumatism 2010 criteria. Exclusion criteria included major organ dysfunction, endocrine disease, infection or long-term hormone or psychotropic drug use.
Primary outcomes included total skeletal muscle mass, fat mass, FMR measured by bioelectrical impedance analysis and bone mineral density measured by dual-energy X-ray absorptiometry. Secondary outcomes included RA disease activity scores (clinical disease activity index (CDAI), simplified disease activity index, disease activity score in 28 joints (DAS28)) and glucocorticoid use. Logistic regression and four additional machine learning algorithms were used to build predictive models for OP.
The RA group (age, 58.00; duration, 8.00; DAS28, 5.03; rheumatoid factor, 104.75; C-reactive protein, 25.65; erythrocyte sedimentation rate (ESR), 59.00) exhibited reduced total skeletal muscle mass (19.49 vs 25.38, p
FMR may serve as a useful clinical indicator of secondary OP in RA patients. A model based on FMR and associated risk factors can predict the possibility of secondary OP.
Patients receiving long-term ventilation (LTV) in out-of-hospital intensive care facilities often suffer from persistent impairments of their cognition, mental health and physical health, limiting their social participation. Chronically ill patients are often unable to express their care preferences. Thus, their medical care often lacks integration of patients’ wishes and values. Telemedicine may be used to collect patient-reported outcome measures (PROMs) from these patients to align medical care with their preferences. Early integration of teleconsultation to provide rapid support for specific patient symptoms can reduce economic costs.
This is a multicentre, prospective, non-blinded, single-arm interventional trial with a pre-post design and follows the Standard Protocol Items: Recommendations for Interventional Trials statement. 10 out-of-hospital intensive care facilities in Berlin and Brandenburg, Germany, are grouped into three clusters. The study population includes adult patients (≥18 years) receiving LTV and residing in participating care facilities. During the preintervention phase, standard patient care remains unchanged. From the start of the intervention phase, enrolled patients receive telemedicine rounds in addition to standard care. These telemedicine rounds, conducted at least weekly, involve on-site healthcare professionals, patients and their relatives. Data are collected at predefined time points—study months 1,3, 9, 15 and 21—with a target of 57 participants at each time point. The study aims to evaluate whether a structured telemedicine intervention (1) increases the proportion of patients receiving record-documented PROMs in routine care and (2) reduces hospital readmissions. Secondary outcomes include the evaluation of post-intensive care syndrome, healthcare costs and the usability, applicability and perceived benefits of telemedicine. Additionally, qualitative interviews with patients, their relatives and healthcare professionals will explore individual experiences with chronic critical illness, the perceived quality of life of the patients and how team members manage moral distress in caregiving contexts. A mixed-effects logistic regression model will be used to analyse patients’ access to PROMs, while a mixed-effects Poisson regression model will be employed to evaluate hospital readmission rates. The findings may provide valuable insights into how telemedicine can improve patient-centred care for this particular patient group.
This study protocol received approval from the Ethics Committee of Charité—Universitätsmedizin Berlin, Germany (EA2/136/22). The findings will be disseminated through publication in a peer-reviewed scientific journal and presented at international conferences.
This study was registered in the ‘German Register of Clinical Studies’ (DRKS; DRKS00029326).
The global healthcare landscape is undergoing a significant shift in demographics, evolving disease epidemiology and an ageing population, prompting the expansion of healthcare roles, including the healthcare assistant (HCA). However, there remains limited clarity regarding the scope and standards of their competence.
A scoping review will be conducted following the updated Joanna Briggs Institute methodological framework. Five databases encompassing PubMed, Cumulative Index to Nursing and Allied Health Literature Complete (EBSCOhost), EMBASE, Web of Science and PsycINFO (EBSCOhost) will be searched. Selected studies will include all types of studies on the competence of HCAs. Two reviewers will independently perform the screening and data extraction process. The quality of evidence in this review will be assessed by the Crowe Critical Appraisal Tool. Data synthesis will be presented using the narrative descriptions and tabular illustrations. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews will be employed for transparent reporting.
No ethical clearance is required for this review. The final review will be submitted for publication to a peer-reviewed journal. Additionally, the results of the final review will be disseminated both locally and nationally to inform clinical practice.
This protocol has been registered with the Open Science Framework. Registration number is OSF.IO/5RGUC.
Imposter Phenomenon is characterised by persistent self-doubt despite objective success. It has been associated with anxiety, burnout and reduced job satisfaction. Little is known about imposter phenomenon’s presence and impact in Trauma and Orthopaedic surgery. This study aims to determine the prevalence and predictors of Imposter Phenomenon among UK orthopaedic surgeons, further mapping domains that affect leadership and professional development.
Cross-sectional survey using the validated Clance Imposter Phenomenon Scale (CIPS).
The survey was distributed to UK orthopaedic surgeons between 20 October 2023 and 28 February 2024 via Training Programme Directors and the British Orthopaedic Association.
Orthopaedic trainees and consultant surgeons (n=441)
Imposter Phenomenon severity measured using CIPS (mild: 41–60, moderate: 61–80 and severe: 81–100). Univariate and multivariate analyses identified predictors of this severity. Self-reported impact of Imposter Phenomenon assessed across personal and leadership domains.
92% of respondents reported moderate to intense Imposter Phenomenon symptoms (mean CIPS=65.17). Trainees had significantly higher mean scores (70.64±13.85) compared with consultants (59.82±15.71). Female surgeons reported significantly higher mean scores (72.57±13.35) than male surgeons (61.19±15.74). Female gender, non-consultant training grade and time out of training were predictors of severity (p
The Imposter Phenomenon is highly prevalent among UK orthopaedic surgeons; disproportionately affecting women, trainees and those taking career breaks. Imposter Phenomenon significantly impacts leadership aspirations and career development, potentially contributing to reduced diversity in surgical leadership. Targeted interventions addressing Imposter Phenomenon are needed to support equitable leadership development in Trauma and Orthopaedic surgery.
Perioperative adverse events increase morbidity and mortality. The rate and severity of complications and the risk for subsequent mortality are increased after high-risk procedures and in elevated-risk patients. Over the past decades, a multitude of prognostic studies identified perioperative risk factors at the population level. However, to allow for the advancement of precision surgery strategies, improved risk prediction on the individual patient level is warranted. Comprehensive, consecutive, multisource, structured, high-quality patient-related and procedure-related data sets, together with thorough follow-up and combined with state-of-the-art machine-learning analyses, are needed to facilitate precise prediction of perioperative complications. Therefore, we designed and currently conduct the Heidelberg Perioperative Deep Data study (HeiPoDD). Here, we report the rationale and design of the HeiPoDD study.
HeiPoDD is a prospective, single-centre, exploratory cohort study aiming to build up a large-scale deep-data base and corresponding biomaterial collection. 1040 adult patients planned for elective high-risk, non-cardiac surgery for any indication at Heidelberg University Hospital, Germany will be included. The obtained study-specific data set includes clinical data, lab values, genome- and proteome analysis as well as plasma, serum and peripheral blood mononuclear cells (PBMC) collected before and at days 1, 3 and 7 postsurgery. Urine samples are collected before and at day 1 postsurgery. Structured follow-up for perioperative complications such as redo-surgery, length of intensive care stay or length of hospital stay is conducted at days 30, 90 and 1 year postsurgery and for disease progression and survival after 3 and 5 years postsurgery. All study data will be transferred to the HeiPoDD registry to allow merging with all available routine clinical data from the hospital information system including imaging studies as well as haemodynamic and respiratory biosignals. Biomaterials will be stored in the HeiPoDD biomaterial bank to allow further analyses.
The trial protocol and amendments were approved by the ethics committee of the University of Heidelberg (S-758/2021). The protocol is registered with the German Clinical Trial Register (DRKS00024625). Participating patients’ data will be recorded only in pseudonymised form. After completion of the study, data collected during the study will be kept on file for up to 30 years. Biomedical samples collected during the study and entered into the biobank will be held for the same amount of time. The findings will be disseminated in peer-reviewed academic journals.
Outcome after surgery depends on both patient-related as well as procedure-related risks. Complications after surgery are a significant burden to patients and to the health system. A vast amount of often unstructured data from different sources are generated during surgery, which contain valuable information associated with outcome. Advances in computer hardware and machine learning now increasingly facilitate the development of prediction models in standardised, parametric, information-rich areas such as the perioperative setting. For the development and validation of risk scores and prediction models, high-fidelity data sources are required to arrive at meaningful and reliable predictions. However, data quality standards in retrospective studies are rarely met. Therefore, the prospective Heidelberg Perioperative Deep Data Registry and Biomaterial Bank (HeiPoDD - Registry and Bio Bank) was started to implement a clinical data base and a corresponding biobank merging the entirety of available clinical records.
The HeiPoDD - Registry and Bio Bank is a study-driven, prospective, single-centre observational registry data base and biomaterial bank. It contains data and material from eligible patients who give informed consent and undergo elective non-cardiac high-risk surgery at the surgical centre of the Heidelberg University Hospital. The screening for eligibility started in January 2022, with no maximum sample size specified in advance. Routine data are recorded and stored during hospital stay and potential readmissions within 90 days after index surgery. The data are merged with the potentially available genome, proteome, flow cytometry, and bio signal data. Endpoints are obtained from routine observations, stored data in the hospital information system and follow-up visits. Further, data and biological specimens from separate perioperative studies with the patients’ consent can be transferred into the HeiPoDD - Registry and Bio Bank as well. This large-scale data collection will allow the calculation of endpoint-specific prediction models using logistic regression models as well as machine learning models. The first 1040 patients included in the HeiPoDD - Registry and Bio Bank are also included in the HeiPoDD study.
The trial protocol and subsequent amendments were approved by the ethics committee of the University of Heidelberg (S-745/2021). Participating patients’ data will be entered only in pseudonymised form. Data and biomaterials will be kept for up to 30 years. The findings will be disseminated in peer-reviewed academic journals.
DRKS00025924, registered on 2021-11-12.
This study evaluated the effects of proximal core training on biomechanical risk factors and strength parameters in individuals at high risk of anterior cruciate ligament (ACL) injury (specifically: those exhibiting pathological movement patterns, neuromuscular deficits or biomechanical risk factors) and compared direct versus indirect interventions. We hypothesised that targeted training enhances dynamic knee stabilisation and hip control during high-risk manoeuvres, with direct approaches providing superior biomechanical benefits through neuromuscular control optimisation.
Systematic review and meta-analysis using the Grading of Recommendation, Assessment, Development and Evaluation (GRADE) approach.
We searched (PubMed, Web of Science, EBSCO Academic Search Premier (ASP)+Business Source Premier (BSP)) for relevant literature published between its inception and the date of retrieval (22 April 2024).
This study included studies comparing the effects of proximal core intensification training and lower extremity training, evaluated their influences on biomechanical risk factors and strength parameters in three types of high-risk ACL populations, and compared the direct and indirect intervention effects. The three types of people include: (1) athletes with pathological exercise patterns, (2) those with neuromuscular defects after ACL injury/reconstruction and (3) those without injury but with biomechanical risk factors.
Two independent reviewers used standardised methods to search, screen and code included studies. Risk of bias was assessed using the Cochrane Collaboration and Evidence Project tools. A meta-analysis was conducted using random effects models. Findings were summarised in GRADE evidence profiles and synthesised qualitatively.
24 studies with a total of 749 participants were included. Meta-analyses demonstrated that proximal core strengthening training may increase lower extremity muscle strength (quadriceps peak torque: standardised mean differences (SMD)=0.65, 95% CI (0.29 to 1.01), I²=0%; hamstring peak torque: SMD=0.53, 95% CI (0.14 to 0.92), I²=0%; both p
Proximal core training has the potential to improve core endurance, knee kinematics and lower limb strength in individuals at high risk of ACL injury, but evidence remains limited to late postoperative and exercise studies. Standardised protocols and harm rate validation are needed to confirm the preventive effectiveness of multidimensional protocols.
CRD42024532199.
Vaping among children and young people (CYP) has increased globally over the past decade, with rates stabilising in the UK in recent years. Factors such as curiosity, social influence, stress management and attractive flavours contribute to its popularity. Although the long-term health impacts are uncertain, vaping poses risks including nicotine dependence, cardiovascular and respiratory issues, and cognitive impairment, though evidence on long-term effects is still emerging. Despite established smoking cessation programmes for adults, tailored resources for vaping cessation among CYP remain scarce, particularly within healthcare settings, which offer unique opportunities for professional intervention and ongoing support. The objective of this review is to assess the extent and nature of available literature on interventions delivered in healthcare settings to support vaping cessation among CYP under the age of 18 years.
This scoping review will include studies targeting CYP under the age of 18 years, specifically focusing on interventions delivered within healthcare settings. Studies outside healthcare contexts or those without healthcare provider involvement will be excluded. Additionally, interventions delivered solely to parents or carers will not be considered.
A comprehensive search will be conducted in MEDLINE, Embase, Web of Science, Cochrane Library and CINAHL from January 2004 to present, with additional grey literature from sources including grey literature repositories and Google Scholar. Results will be imported into Rayyan for screening, with two independent reviewers assessing studies for inclusion. Data extraction will include study design, population characteristics (including explicit age ranges, specifically CYP under 18 years), intervention details and outcomes. A descriptive synthesis will map study characteristics, while thematic analysis will identify intervention themes and healthcare contexts.
Ethics approval is not required for this secondary analysis. Findings will be disseminated through publication, conference presentations and shared with public health stakeholders.
To determine the incidence of in-hospital postoperative mortality and validate the Preoperative Score to Predict Postoperative Mortality (POSPOM).
Retrospective case–control study.
A tertiary university hospital in Thailand.
All patients who underwent surgical procedures in 2019 under any anaesthesia technique.
Incidence of in-hospital postoperative mortality and POSPOM score performance (sensitivity, specificity and predictive values).
A total of 39 674 patients underwent surgery in 2019. The in-hospital postoperative mortality rate was 0.76% (95% CI 0.68% to 0.85%). After excluding cases per POSPOM criteria, 270 deceased patients remained. The POSPOM score was validated against these 270 cases and 270 randomly selected survivors, yielding an area under the receiver operating characteristic curve of 0.73 (95% CI 0.69 to 0.77). At a cut-off of 21, the sensitivity was 71.5% (95% CI 65.7% to 76.8%), and the specificity was 61.9% (95% CI 55.8% to 67.7%).
This single-centre study found a low in-hospital postoperative mortality rate. The POSPOM score demonstrated moderate predictive accuracy for postoperative mortality risk and may be useful for preoperative risk stratification.
To explore the perceptions and experiences of parents caring for children with paediatric feeding disorders requiring feeding tubes (PFD-T).
A descriptive qualitative approach was adopted in this study.
Using purposive sampling, 12 parents were recruited from paediatric inpatient wards and the outpatient paediatric feeding clinic at a tertiary public hospital in Singapore. Data collection was done from July to December 2024. Semi-structured one-on-one interviews were conducted with the parents (fathers or mothers) until data saturation. Thematic analysis was used to identify themes from the interview content.
A total of three themes and six subthemes were identified, encapsulating the challenges experienced by parents with caregiving and feeding tube management, as well as the sources of support they had. The themes are: (1) A sense of community, (2) Grieving over the loss of normalcy and (3) Facing the unknown.
Parents in this study felt supported being in a community of other parents with children who have PFD-T. It enabled them to gain valuable information and offered them a space where they felt understood. At the same time, they expressed feelings of guilt and isolation, as the caregiving demands led to limited capacity to cater to or interact with other loved ones. Additional challenges parents faced included transitioning between types of feeding tubes and insufficient support from healthcare professionals.
Ethical approval was obtained from the National Health Group Domain Specific Review Board (DSRB 2024/00064) on 8 May 2024.
This study followed the reporting guidelines outlined by the COnsolidated criteria for REporting Qualitative (COREQ) research checklist.
This study did not include patient or public involvement in its design, conduct, or reporting.
by Michael Seid, David Bridgeland, Christine L. Schuler, David M. Hartley
Improving the healthcare system is a persistent and pressing challenge. Collaborative Learning Health Systems, or Learning Health Networks (LHNs), are a novel, replicable organizational form in healthcare delivery that show substantial promise for improving health outcomes. To realize that promise requires a scientific understanding that can serve LHNs’ improvement and scaling. We translated social and organizational theories of collaboration to a computational (agent-based) model to develop a computer simulation of an LHN and demonstrate the potential of this new tool for advancing the science of LHNs. Model sensitivity analysis showed a small number of parameters with outsized effect on outcomes. Contour plots of these influential parameters allow exploration of alternative strategies for maximizing model outcomes of interest. A simulated trial of two common health system interventions – pre-visit planning and use of a registry – suggested that the efficacy of these could depend on LHN current state. By translating heuristic theories of LHNs to a specifiable, reproducible, and explicit model, this research advances the scientific study of LHNs using tools available from complex systems science.To examine individual variations in mental health trajectories and identify associated risk factors among patients with lung cancer.
A longitudinal study.
Participants recruited from outpatient clinics at five time points: 1, 3, 6, 9 and 12 months after a diagnosis. Data collected included demographic and disease-related characteristics, symptom distress, and mental health. Hierarchical Linear Modelling (HLM) was used to analyse changes in mental health trajectories and identify significant predictors. The study is reported using the STROBE checklist.
In total, 130 patients with lung cancer were included in the study. Mental health demonstrated a significant improvement over time, with notable individual variations in patterns of improvement. Male patients and those experiencing high levels of symptom distress exhibited slower improvements in mental health over time.
Patients with lung cancer showed overall improvement in mental health within 1 year following a diagnosis; however, the pattern of improvement varied among individuals. Male patients and those with high levels of symptom distress constituted a vulnerable group, exhibiting poorer mental health outcomes over time.
Early assessments of and individualised interventions for symptoms distress to improve mental health should be considered essential components of care to enhance the overall well-being of patients with lung cancer.
These findings highlight the need for healthcare professionals implementing person-centred interventions aimed at improving mental health that might be beneficial for patients with lung cancer.
Study methods and results reported in adherence to the STROBE checklist.
Patients contributed their consent, time, and data to the study.
FreshRSS 