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Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide and is estimated to be the leading cause of death in the next 15 years. Patients with COPD suffer from persistent chronic cough, sputum production and exacerbations leading to deteriorating lung function, worsening quality of life and loss of independence. While evidence-based interventions exist to improve the well-being of patients with COPD, incorporation of these interventions into routine clinical care is challenging. Chronic Obstructive Pulmonary Disease Coordinated Access to Reduce Exacerbations (COPD CARE) is a team-based, coordinated care transitions service integrating evidence-based interventions for COPD management within the patient care delivery model to reduce readmissions. This evaluation considers the process of scaling the COPD CARE service across medical facilities using an implementation package designed for service expansion. The implementation package was developed at the United States Veterans Health Administration and implemented at two medical centres. Core dissemination and implementation science methods were applied to guide design and delivery of the implementation package.The aims of this evaluation were to (1) evaluate the impact of the implementation package on use of evidence-based interventions for COPD management and (2) explore clinician perceptions of the implementation package. This prospective mixed-methods quality improvement project included two Plan Do Check Act (PDCA) cycles conducted over a 24-month period. Electronic health record data demonstrated significant improvements in the count of evidence-based interventions incorporated into routine clinical care after training completion (p<0.001), offering preliminary effectiveness of the package to improve uptake of best practices for COPD management. Clinician perceptions of the implementation package, measured by questionnaire at multiple time points, demonstrated significant improvements for all scales at the end of the final PDCA cycle. Clinicians described the implementation package as positively impacting clinician confidence, interprofessional collaboration and patient care delivery.
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http://dx.doi.org/10.1136/bmjoq-2022-002074 | DOI Listing |
Bioinform Adv
September 2025
Data Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, 85354, Germany.
Summary: Cell-type deconvolution is widely applied to gene expression and DNA methylation data, but access to methods for the latter remains limited. We introduce , a new R package that simplifies access to DNA methylation-based deconvolution methods predominantly for blood data, and we additionally compare their estimates to those from gene expression and experimental ground truth data using a unique matched blood dataset.
Availability And Implementation: is available at https://github.
Eur J Public Health
September 2025
Danish Health Data Authority, Copenhagen, Denmark.
European Union (EU) Member States face challenges in using health data for secondary purposes, constrained by inconsistent digital health systems and limited cross-border sharing. One aim of the European Health Data Space (EHDS) is to facilitate secondary health data use through the HealthData@EU infrastructure and Health Data Access Bodies (HDABs). This article provides recommendations essential for HDAB implementation, informed by the HealthData@EU Pilot project.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Summary: Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.
View Article and Find Full Text PDFBioinformatics
September 2025
Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.
Summary: In Bayesian phylogenetic and phylodynamic studies it is common to summarise the posterior distribution of trees with a time-calibrated summary phylogeny. While the maximum clade credibility (MCC) tree is often used for this purpose, we here show that a novel summary tree method-the highest independent posterior subtree reconstruction, or HIPSTR-contains consistently higher supported clades over MCC. We also provide faster computational routines for estimating both summary trees in an updated version of TreeAnnotator X, an open-source software program that summarizes the information from a sample of trees and returns many helpful statistics such as individual clade credibilities contained in the summary tree.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou, Hainan, 571199, China. Electronic address:
Background: While paper-based colorimetric assays have seen significant progress in recent years, persistent challenges including the coffee-ring effect and infiltration effect continue to affect the color uniformity of detection results, leading to decreased sensitivity and accuracy of the detection. Recent advancements in suppressing these two effects mainly depend on chemical modification of cellulose fibers or application of specific functional coatings. However, the former's complex procedures impede large-scale implementation, while the latter's non-cellulosic additives risk unpredictable interactions with analytes or interference in colorimetric reactions.
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