22,121 results match your criteria: "Center for Comprehensive Access & Delivery Research and Evaluation[Affiliation]"

Objective: To analyze the temporal and territorial relationship between health system financing fragmentation and maternal mortality in the last two decades in Mexico.

Methods: We conducted an ecological-longitudinal study of the maternal mortality ratio (MMR) in the 32 states of Mexico during the period 2000-2022. Annual MMRs were estimated at the national and state levels according to health insurance.

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Modeling and simulation of distribution and drug resistance of major pathogens in patients with respiratory system infections.

BMC Infect Dis

January 2025

Department of Respiratory Medicine, Anting Hospital of Jiading District, 1060 Hejing Road, Anting Town, Jiading District, Shanghai, 201805, China.

Background: Respiratory tract infections (RTIs) are one of the leading causes of morbidity and mortality worldwide. The increase in antimicrobial resistance in respiratory pathogens poses a major challenge to the effective management of these infections.

Objective: To investigate the distribution of major pathogens of RTIs and their antimicrobial resistance patterns in a tertiary care hospital and to develop a mathematical model to explore the relationship between pathogen distribution and antimicrobial resistance.

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scATAC-seq generates more accurate and complete regulatory maps than bulk ATAC-seq.

Sci Rep

January 2025

MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.

Bulk ATAC-seq assays have been used to map and profile the chromatin accessibility of regulatory elements such as enhancers, promoters, and insulators. This has provided great insight into the regulation of gene expression in many cell types in a variety of organisms. To date, ATAC-seq has most often been used to provide an average evaluation of chromatin accessibility in populations of cells.

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Triaging mammography with artificial intelligence: an implementation study.

Breast Cancer Res Treat

January 2025

Google Health, 1600 Amphitheatre Pkwy, Mountain View, CA, 94043, USA.

Purpose: Many breast centers are unable to provide immediate results at the time of screening mammography which results in delayed patient care. Implementing artificial intelligence (AI) could identify patients who may have breast cancer and accelerate the time to diagnostic imaging and biopsy diagnosis.

Methods: In this prospective randomized, unblinded, controlled implementation study we enrolled 1000 screening participants between March 2021 and May 2022.

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Introduction: Faced with a backdrop of an increasing chronic disease burden from an ageing global population compounded with rising healthcare costs, health systems are required to implement cost-effective, safe and equitable care through efficient service delivery models. One approach to achieving this is through Starfield's 4Cs of primary healthcare (PHC), which delineates the key attributes of a high-performing PHC system that upholds the pillars of care coordination, first contact of care, continuity of care and comprehensive care. Therefore, this study aims to explore and elucidate the key themes and subthemes related to and extending beyond Starfield's 4Cs of PHC by integrating findings from a comprehensive literature review and a qualitative study.

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The Society of Thoracic Surgeons General Thoracic Surgery Database (STS GTSD) remains the largest and most comprehensive audited thoracic surgical database in the world. As the STS GTSD grows to nearly 1 million cases, the pulmonary resection for cancer and esophagectomy short-term risk models have been refined to provide participants with benchmarked performance reports to facilitate quality improvement efforts. New for 2025 will be the development of long-term risk models and the online release of both short- and long-term risk calculators.

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Objectives: Cost-effectiveness analysis (CEA) is an accepted approach to evaluate cancer screening programmes. CEA estimates partially depend on modelling methods and assumptions used. Understanding common practice when modelling cancer relies on complete, accessible descriptions of prior work.

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AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist.

J Cheminform

January 2025

School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.

G protein-coupled receptors (GPCRs) play vital roles in various physiological processes, making them attractive drug discovery targets. Meanwhile, deep learning techniques have revolutionized drug discovery by facilitating efficient tools for expediting the identification and optimization of ligands. However, existing models for the GPCRs often focus on single-target or a small subset of GPCRs or employ binary classification, constraining their applicability for high throughput virtual screening.

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Transforming Transplantation Access: A Federal Directive for Comprehensive Pre-Waitlisting Data Collection.

Am J Transplant

January 2025

Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.

There is substantial variation in access to transplantation across the United States that is not entirely explained by the availability of donor organs. Barriers to transplantation and variation in care among patients with end-stage organ disease exist prior to patients' placement on a transplant waiting list as well as following waitlist placement. However, there are currently no national data available to examine rates and variations in key care processes related to pre-listing, including transplant referral, evaluation, or candidate selection.

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Design, Synthesis, Biocompatibility, molecular docking and molecular dynamics studies of novel Benzo[b]thiophene-2-carbaldehyde derivatives targeting human IgM Fc Domains.

Bioorg Chem

January 2025

Department of Chemistry, St Berchmans College (Autonomous), Changanassery, Kerala 686101, India; Centre for Theoretical and Computational Chemistry, St Berchmans College (Autonomous), Changanassery, Kerala 686101, India. Electronic address:

In this study, three novel derivatives of benzo[b]thiophene-2-carbaldehyde (BTAP1, BTAP2, and BTAP3) were successfully synthesized and comprehensively characterized using spectroscopic techniques including FTIR, UV-VIS, HNMR, and CNMR. Thermal analysis through TGA and DTA demonstrated remarkable thermal stability with a maximum threshold at 270 °C. Spectroscopic investigations revealed π → π* transitions in all compounds, attributed to the conjugated system comprising benzothiophene rings connected to bromophenyl/ aminophenyl/phenol rings via α, β-unsaturated ketone bridges.

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Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.

Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.

Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.

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It is well-known that the use of vocabulary in phenotype treatments is often inconsistent. An earlier survey of biologists who create or use phenotypic characters revealed that this lack of standardization leads to ambiguities, frustrating both the consumers and producers of phenotypic data. Such ambiguities are challenging for biologists, and more so for Artificial Intelligence, to resolve.

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Life on the nanoscale has been made accessible in recent decades by the development of fast and noninvasive techniques. High-speed atomic force microscopy (HS-AFM) is one such technique that shed light on single protein dynamics. Extending HS-AFM to effortlessly incorporate mechanical property mapping while maintaining fast imaging speed allows a look deeper than topography and reveal details of nanoscale mechanisms that govern life.

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Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.

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Background & Aims: Atezolizumab/bevacizumab (A/B) is now a standard first-line treatment for advanced hepatocellular carcinoma (HCC), but the optimal second-line regimen is not known. We evaluated real-world treatment patterns and outcomes to investigate factors associated with post-progression survival (PPS).

Methods: In this multicenter, international, retrospective study, we examined clinical characteristics and outcomes of patients with advanced HCC who progressed on first-line A/B.

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Rhinoplasty is one of the most common cosmetic procedures performed by plastic surgeons and otolaryngologists. Previous studies have concluded that the readability of rhinoplasty information does not meet the recommended guidelines for the 8th grade reading level. In this study, we performed an updated readability analysis and a comprehensive online review of decision-making factors for patients considering rhinoplasty.

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Objective: To explore patients' perceptions and attitudes towards patient guidelines (PGs) and to identify specific factors related to PG content, design, presentation, and management that may influence patients' use or adoption of PGs.

Methods: An exploratory sequential mixed-methods design was employed. Initial semi-structured interviews were conducted with a diverse group of individuals, including people with diabetes or oncology, and clinicians.

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Introduction: Head and neck cancers (HNC) are devastating, thus imposing a negative impact on the appearance of an individual as well as vital activities such as eating, swallowing, speaking, and breathing. Therefore, HNC patients undergo distress, while their caregivers become overburdened. Religion and spirituality can be helpful for patients and their caregivers from diverse cultural backgrounds to cope with cancer.

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Background: Workplace health screening rarely includes measures of cardiorespiratory fitness, despite it being a greater predictor of cardiovascular disease and all-cause mortality than other routinely measured risk factors. This study aimed to determine the comparative acceptability of using a novel seismocardiography device to measure cardiorespiratory fitness via VO max during a workplace health check.

Methods: Participants were invited to participate in workplace health screening sessions where VO max was assessed by both seismocardiography at rest and sub-maximal exercise testing, in order for acceptability of both to be compared across multiple domains.

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Background: Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. In addition, for most RDs, few to no treatments are available and it is often difficult to find a specialized care team.

Objectives: The project "acERca las enfermedades raras" (in English: "bringing RDs closer") is an initiative primary designed to generate a consensus by a multidisciplinary group of experts to detect the strengths and weaknesses in the public healthcare system concerning the comprehensive care of persons living with a RD (PLWRD) in the region of Catalonia, Spain, where a Network of Clinical Expert Units (Xarxa d'Unitats de Expertesa Clínica or XUEC) was created and is being implemented since 2015.

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DNA double strand breaks (DSBs) can be generated spontaneously during DNA replication and are repaired primarily by Homologous Recombination (HR). However, efficient repair requires chromatin remodeling to allow the recombination machinery access to the break. TIP60 is a complex conserved from yeast to humans that is required for histone acetylation and modulation of HR activity at DSBs.

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The long-term effects of housing insecurity in young adulthood on subsequent material hardship, physiological and mental health.

Soc Sci Med

January 2025

Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, 1300 S. 2(n,d) St., Minneapolis, MN, 55454, USA.

Economic and material hardship, including housing insecurity - limited or uncertain availability or access to safe, quality, and affordable housing - is strongly linked to negative physical and mental health outcomes among adolescents and adults. However, data limitations and the inherent selectivity of housing insecurity have hindered comprehensive analysis of its long-term effects on physiological and mental health. This study uses data from The National Longitudinal Study of Adolescent to Adult Health (Add Health) to construct a sample of participants who experienced housing insecurity between the ages of 18-26 (Wave III) to a suitable control group using propensity score matching.

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Goose multi-omics database: A comprehensive multi-omics database for goose genomics.

Poult Sci

January 2025

Chongqing Engineering Research Center of Goose Genetic Improvement, Institute of Poultry Science, Chongqing Academy of Animal Science, Rongchang District, Chongqing 402460, PR China. Electronic address:

Multi-omics has helped elucidate the gene expression patterns and genomic variations closely associated with economically significant traits in geese. Despite the substantial genomic data generated through extensive goose studies, a unified platform for integrating these datasets is lacking. To address this gap, we introduced the Goose Multi-omics Database (GMD), which is accessible at http://goosedb.

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The phylogeographic inference approach aims to connect genomic data with epidemiology to understand the spread and evolution of pathogens using visualization of spatiotemporal reconstructions. Orthohantavirus hantanense (HTNV), the causative agent of hemorrhagic fever with renal syndrome (HFRS), represents a significant global public health concern. Here, we introduce a localized Nextstrain platform for HTNV, offering a comprehensive resource for facilitating spatiotemporal genomic surveillance and the study of evolutionary dynamics of viral genomes.

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Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.

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