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Background: There is vast global inequality regarding where health research happens, who leads the research, and who benefits from the evidence. Globally, wealthier nations drive and influence data-driven research and how it is structured institutionally. Key barriers to high-quality research being undertaken in and led by low-resource settings are well reported. These barriers persist, thereby perpetuating a lack of locally generated data and/or evidence to tackle diseases that bring the greatest burden. Our aim was to design a tool to capture best practices in the production of data-driven health research, to advance both quality and quantity of research being conducted where it is needed most.
Methods: An expert group of senior global health researchers from Asia, Africa, Europe, and Latin America and the Caribbean (LAC) convened to discuss potential solutions to addressing this imbalance in both quality and quantity of global health research. This study documents how a novel approach was developed, informed by this discussion, to support research teams in low-resource settings. The new approach, called "Pathfinder", is a process-mapping tool wherein teams document key steps of their research projects flow to produce quality data and subsequent studies.
Results: The Pathfinder methodology is a novel tool to be used alongside planned studies to guide teams through each step of their research, from setting their research question, to identifying the best methods needed to complete each step, to translating research outputs into impactful policy and practice. It is a standardized framework, which can be applied or adapted to specific settings for research teams track to key steps, challenges, solutions, and tools throughout their planned study's process. Pathfinders can also be applied to studies that have already been completed, retroactively documenting their key components. Several global research institutes are piloting the Pathfinder methodology.
Conclusions: Pathfinders can help inform future studies by capturing best practices, thereby removing barriers to research, and addressing global inequality in this domain. Specifically, Pathfinders can help identify the methods and skills needed for teams to produce safe, ethical, and accurate data-driven health research.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12329893 | PMC |
http://dx.doi.org/10.1186/s12874-025-02638-7 | DOI Listing |
Int J Pharm
September 2025
Life Quality (LQ) Engineering Interest Group, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, Jiangsu Province 215123, China. Electronic address:
Gastrointestinal (GI) physiological variability significantly influences dissolution and bioavailability of non-disintegrating solid drug systems. This study employed the dynamic human stomach-intestine (DHSI-IV, branded as NERDT) system to characterize how gastric emptying kinetics and intestinal environmental dynamics affect drug release, using extended-release metformin matrix tablets (Glucophage XR®) and metformin osmotic pump tablets (Nida®) as model formulations. The DHSI-IV (NERDT) system accurately simulated three fasting-state gastric emptying profiles (30-120 min complete emptying) with excellent fit to the modified Elashoff model (R = 0.
View Article and Find Full Text PDFDiabetologia
September 2025
Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
This review article, developed by the EASD Global Council, addresses the growing global challenges in diabetes research and care, highlighting the rising prevalence of diabetes, the increasing complexity of its management and the need for a coordinated international response. With regard to research, disparities in funding and infrastructure between high-income countries and low- and middle-income countries (LMICs) are discussed. The under-representation of LMIC populations in clinical trials, challenges in conducting large-scale research projects, and the ethical and legal complexities of artificial intelligence integration are also considered as specific issues.
View Article and Find Full Text PDFJ Eval Clin Pract
September 2025
Pediatric Allergy and Immunology Department, Akdeniz University Hospital, Akdeniz University, Antalya, Türkiye.
Aims And Objectives: To evaluate the efficacy of YoungAsthma, a nurse-led, web-based mHealth intervention on asthma control and self-efficacy among adolescents with asthma utilizing decision tree analysis.
Background: Asthma is a prevalent chronic condition in pediatric populations, necessitating sustained management for optimal disease control.
Design: A randomized controlled clinical trial.
Hum Brain Mapp
September 2025
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Background: Integrated mode proton imaging is a clinically accessible method for proton radiographs (pRads), but its spatial resolution is limited by multiple Coulomb scattering (MCS). As the amplitude of MCS decreases with increasing particle charge, heavier ions such as carbon ions produce radiographs with better resolution (cRads). Improving image resolution of pRads may thus be achieved by transferring individual proton pencil beam images to the equivalent carbon ion data using a trained image translation network.
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