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To analyse the impact of selected neonatal care interventions on regional care capacity.
Design
Discrete event simulation modelling based on clinical data.
Neonatal care in the southwest of the Netherlands, consisting of one tertiary-level neonatal intensive care unit (NICU), four hospitals with high-care neonatal (HCN) wards and six with medium-care neonatal (MCN) wards.
44 461 neonates admitted to at least one hospital within the specified region or admitted outside of the region but with a residential address inside the region between 2016 and 2021.
The impact of three interventions was simulated: (1) home-based phototherapy for hyperbilirubinaemia, (2) oral antibiotic switch for culture-negative early onset infection and (3) changing tertiary-level NICU admission guidelines.
Regional neonatal capacity defined as: (1) occupancy per ward level, (2) required operational beds per ward level to provide care to all inside region patients at maximum 85% occupancy, (3) proportion rejected, defined as outside region transfers due to no capacity to provide local care and (4) the weekly rejections in relation to occupancy to provide a combined analysis.
In the current situation, with many operational beds closed due to nurse shortages, occupancy was extremely high at the NICU and HCNs (respectively 91.7% (95% CI 91.4 to 92.0) and 98.1% (95% CI 98.0 to 98.2)). The number of required beds exceeded available beds, resulting in >20% rejections for both NICU and HCN patients. Although the three interventions individually demonstrated effect on capacity, clinical impact was marginal. In combination, NICU occupancy was reduced below the 85% government recommendation at the cost of an increased burden for HCNs, highlighting the need for redistribution to MCNs.
Our model confirmed the severity of current neonatal capacity strain and demonstrated the potential impact of three interventions on regional capacity. The model showed to be a low-cost and easy-to-use method for regional capacity impact assessment and could provide the basis for making informed decisions for other interventions and future scenarios, supporting data-driven neonatal capacity planning and policy development.
by Moe Thi Thi Han, Tay Zar Myo Oo, Busayamas Chewaskulyong, Sakorn Pornprasert, Kanyamas Choocheep, Khanittha Punturee, Warunee Kumsaiyai, Yupanun Wuttiin, Sawitree Chiampanichayakul, Ratchada Cressey
Non-smoking-related lung cancer is increasingly associated with environmental factors such as particulate matter (PM) exposure. Using deep small RNA sequencing, we identified distinct miRNA expression patterns in lung cancer patients compared to non-cancer controls, stratified by smoking status. Notably, hsa-miR-125b-5p and hsa-miR-100-5p were significantly downregulated in non-smoking lung cancer patients. Pathway enrichment analysis revealed smoking amplifies pathways related to glycan biosynthesis, signal transduction, and transcriptional regulation, while non-smoking lung cancer is characterized by immune dysfunction and metabolic alterations, including oxidative phosphorylation and natural killer cell cytotoxicity. Validation in a larger cohort using quantitative RT-PCR confirmed the suppression of miR-125b-5p and miR-100-5p in non-smoking lung cancer patients. Additionally, miR-203a and miR-199a-3p were identified as potential biomarkers for lung cancer, independent of smoking status. Chronic PM exposure in primary bronchial/tracheal epithelial cells initially elevated miR-125b-5p and miR-100-5p expression, but prolonged exposure suppressed these miRNAs while increasing their target genes, TXNRD1 and HOXA1, suggesting stress-induced dysregulation. Functional studies using miRNA mimics demonstrated that miR-125b-5p and miR-100-5p suppress PM-induced cancer cell mobility and colony formation, with miR-125b-5p exhibiting broader effects. These findings underscore the critical roles of miR-125b-5p and miR-100-5p in PM-associated lung cancer progression and their potential as biomarkers and therapeutic targets. This study highlights distinct mechanisms of lung carcinogenesis in smokers and non-smokers, providing a foundation for targeted interventions in PM-associated lung cancer.Hard-to-heal wounds are frequently associated with underlying conditions such as diabetes, vascular disease, and biofilm-related infections. Accurate identification of microbial origin is essential, but is often hindered by biofilms. This study evaluated whether sonication of wound dressings, combined with different sample transport methods, improves bacterial detection in venous leg ulcers. In a prospective observational case–control study, six patients with hard-to-heal venous leg ulcers received treatments with medical-grade honey (MGH) (n = 1), ceramic dressings – “Cerdak” (n = 2), or hydroactive dressings (n = 3). Three microbiological samples were collected per patient: (1) conventional wound swab (Levin's technique) in Amies medium; (2) sonicate fluid from used dressings transported in sterile tubes without medium; and (3) sonicate fluid in haemoculture tubes (BACT/ALERT). Total pathogen count and diversity were compared across sampling methods. Patient quality of life (QoL) was assessed using the Wound-QoL instrument. Sonication revealed additional pathogens not detected by conventional swabs. The highest number of pathogens was found in sonicate fluid transported in haemoculture tubes (n = 43), followed by swabs (n = 39) and sterile tube transport (n = 30). Adequate treatment significantly improved patients' QoL during the healing process. Dressing sonication, especially with haemoculture tube transport, enhances microbial identification and may improve diagnosis and management of hard-to-heal wounds.
by Anshu Parajulee, Abdo Souraya, Nancy Humber, Sean Ebert, Kim Williams, Tom Skinner, Jude Kornelsen
ObjectiveTo identify contextually relevant indicators to measure the quality of surgical and obstetrical care in low-volume rural hospitals using a consensus-based methodology.
MethodsA modified Delphi process was implemented in which participants were asked to rate the priority of proposed evaluation metrics over two rounds. Two Delphi surveys were electronically administered in 2019, approximately one month apart. Fifty-one health care professionals from across Canada, including rural proceduralists and quality improvement experts, were invited to participate. All quality measures in the first round were proposed by the study team. The second round included measures that did not reach consensus in the first round and measures suggested by respondents during the first round.
ResultsThirty individuals participated in Round 1 (59% response rate). Of the 30 respondents from Round 1, 23 participated in Round 2 (77% response rate). 115 of 177 proposed measures (65%) reached positive consensus in Round 1 or 2. Expert participants agreed that these measures should be prioritized/included when evaluating surgical and/or obstetrical quality in rural hospitals. No measure reached negative consensus in either round. Open-text comments offered practical guidance on how to interpret and use surgical and obstetrical quality data within a rural context. Many respondents believed that rare adverse outcomes have low relevance at rural hospitals where volumes are low, procedures are almost all lower complexity day cases (Cesarean section being the major exception), and patients are typically healthy.
ConclusionThe modified Delphi process resulted in the identification of surgical and obstetrical quality indicators that are contextually embedded in the realities of rural practice. The methodology allowed for the consideration of factors often overlooked by normative urban-based approaches, including team-based care characteristic of rural hospitals and limited access to specialist care and imaging services.
We evaluated the performance of risk models that incorporate ambulatory ECG data and clinical information for prediction of healthcare expenditures related to heart failure (HF) and stroke events in treated and untreated patients.
A retrospective cohort study of Medicare patients who underwent Zio XT ambulatory monitoring in the USA was conducted between 2014 and 2020.
14-day ambulatory ECG data and claims data were evaluated in the study sample which included 89 923 patients in the HF hospitalisation group, 75 870 in the new-onset HF group and 90 159 in the stroke hospitalisation group. Predictive models for new-onset HF, HF hospitalisation and stroke hospitalisation were generated using LASSO Cox regression with ambulatory ECG variables and components of the CHA2DS2-VASc. For each outcome, we scored patients using standardised linear predictors from three composite risk models, and we evaluated the association between risk score and total Medicare cost.
The following hazard ratios per one SD increase in the new risk score were observed for the model that included all CHA2DS2-VASc components and ECG variables: HF hospitalisation in treated 2.94, 95% CI 2.75 to 3.15; new-onset HF in treated 1.84, 95% CI 1.75 to 1.93; HF hospitalisation in untreated 3.51, 95% CI 3.23 to 3.82; and new-onset HF in untreated 1.92, 95% CI 1.85 to 2.00. Risk scores generated by the model were also predictive of Medicare cost in both treated and untreated patients, with patients in the high-risk category for all outcomes having the greatest Medicare costs during 1 year of follow-up.
Integrating arrhythmia data from ambulatory ECG monitoring into clinical risk models allows for better prediction of healthcare utilisation and cost in both treated and untreated patients at high risk for HF and stroke events.
Coronary artery disease (CAD) is a major cause of morbidity and mortality worldwide, and detecting CAD in stable chest pain patients is challenging but crucial for early intervention. Strain and strain rate (S/SR) imaging offers a non-invasive method to assess myocardial function and detect coronary stenosis before symptoms occur. In this study, we aimed to demonstrate how effectively and accurately resting strain echocardiography can diagnose CAD.
We conducted a prospective diagnostic accuracy study of patients with chest pain who were referred for CT coronary angiography (CCTA).
Single-centre study conducted in the University Hospital of North Norway in Tromsø, Norway between 2016 and 2021.
A total of 510 patients with chest pain were included in the present study.
Echocardiography examination with S/SR imaging was performed.
Echocardiography findings were compared with CCTA and coronary angiography findings. A novel scoring model incorporating S/SR parameters was developed to assess diagnostic accuracy.
In this study, we showed that receiver operating characteristic curve analysis of early diastolic strain rate (SRe), systolic strain rate (SRs) and peak longitudinal strain (PLS) has high sensitivity and specificity with area under the curve (AUC) scores: SRe, 0.91; PLS, 0.81; SRs, 0.71 in identifying patients undergoing coronary artery bypass graft (CABG). However, these parameters showed lower sensitivity and specificity with AUC scores: SRe, 0.580; SRs, 0.539; PLS, 0.552 in detecting patients undergoing percutaneous coronary intervention (PCI).
Our study emphasises the potential of S/SR imaging in detecting CAD, particularly in high-risk CABG patients. However, its diagnostic utility in PCI patients is limited. Our study highlights the need for comprehensive approaches in coronary disease prediction.
There remains little consensus or guidelines for the clinical management of traumatic orbital fractures (OFx). The OFx Registry aims to increase real-world clinical evidence for the treatment of OFx via prospective, multicentre, international data collection. The primary objectives of this observational cohort study are (1) to document current treatment practices for and (2) to assess the outcomes of surgical and non-surgical treatment of orbital floor and/or medial wall fractures.
Approximately 300 adult patients presenting with a displaced OFx in the orbital floor and/or medial wall will be enrolled prospectively over a recruitment period of ~36 months. All eligible patients treated either surgically or non-surgically as per routine standard of care will have follow-up assessments at 6 weeks, 3 months and 6 months post-treatment. Demographic data, injury details, treatment details and outcome measures will be documented in a cloud-based database. Outcome measures include clinical outcomes (eg, diplopia, extraocular motility, and condition of the eyelid, globe and soft tissues), radiological outcomes from collected images, patient-reported outcomes (eg, Diplopia Questionnaire and the newly developed AO Craniomaxillofacial (CMF) Injury Symptom Battery) and complications. A statistical analysis plan will be prepared before final analysis summarising the descriptive statistics to be used for data assessment. Appropriate research questions and statistical tests may be applied additionally, depending on the availability and quality of data collected.
Ethics approval was obtained before patients were enrolled at each participating site. Patient enrolment followed an informed consent process approved by the responsible ethics committee. Peer-reviewed publications are planned to disseminate the study results.
Evaluating skin reactions is crucial in topical product development. Turmeric/epigallocatechin-3-gallate (EGCG) emulgel demonstrates therapeutic potential for cutaneous diseases, warranting further investigation in human studies. The Human Repeat Insult Patch Test (HRIPT) of skin irritation and sensitisation potential caused by the turmeric/EGCG emulgel is designed to evaluate the safety of the investigational product in healthy volunteers prior to conducting the efficacy study in patients with dermatological diseases.
60 healthy Thai volunteers will be enrolled in this single-centre, double-blind HRIPT pilot clinical trial to evaluate skin irritation and sensitisation potential caused by turmeric/EGCG emulgel. Primary endpoints include the number and proportion of participants exhibiting skin irritation and sensitisation, while secondary endpoints focus on the frequency and severity of adverse events. The study will comprise a screening period, a 3-week induction phase, a 2-week rest phase and a 1-week challenge phase. Fully occlusive adhesive patches containing study products will be applied to participants’ backs 10 times. Skin irritation will be assessed using the Draize dermal irritation scoring system, and skin sensitisation will be evaluated using the International Contact Dermatitis Research Group scoring system.
The Research Ethics Committee of the Faculty of Medicine, Chiang Mai University, approved this study protocol and related documents on 6 March 2025 (Ref. No. 108/2025).
TCTR20250317007.
To synthesize evidence regarding the effectiveness of technology-based psychosocial interventions in improving health-related outcomes among family caregivers of stroke survivors.
A systematic review and meta-analysis was reported by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
Randomized controlled trials that investigated the effects of psychosocial interventions delivered through information and communication technologies on self-efficacy, caregiving competence, caregiver burden, perceived social support, anxiety, depression, health-related quality of life and cost-effectiveness were included. Two researchers independently selected studies, extracted data, and appraised the quality of the included studies. Subgroup analysis, sensitivity analysis, and narrative synthesis were conducted.
Ten electronic databases (PubMed, CENTRAL, Web of Science, Scopus, CINHAL, Embase, Institution of Electrical Engineers Xplore, Ovid Medline, PsycINFO, ProQuest Dissertations and Thesis) were searched up to February 2023.
Nineteen studies involving 1717 participants fulfilled the eligibility criteria. Technology-based psychosocial interventions significantly improved self-efficacy (SMD = .62), caregiving competence (SMD = .55), depression (SMD = −.25) and anxiety (SMD = −.35). However, perceived social support, caregiver burden, and health-related quality of life did not show significant improvements. Subgroup analyses revealed that the interventions, lasting from 4 to 6 weeks and encompassing comprehensive contents, exhibited larger effect sizes. None of the studies measured cost-effectiveness.
The technology-based psychosocial interventions are effective in enhancing self-efficacy and caregiving competence, as well as alleviating anxiety, and depression among family caregivers of stroke survivors. Future research should investigate interventions delivered through various digital platforms using well-designed RCTs with in-depth qualitative data collection and measurement of health and cost-effectiveness outcomes.
Through psychosocial interventions, healthcare providers in clinical and community settings, particularly nurses, could incorporate technologies into current stroke care practices.
It is not applicable as this is a systematic review.
The protocol was registered on PROSPERO (CRD42023402871).
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