30820 research outputs found
Sort by
Topic 2: Working with Urban Planners and Environmental Agencies to Improve Chronic Disease Outcomes
No full textChallenges and Lessons Learned in Image Collection for the Development of an Artificial Intelligence-Based Algorithm for the Early Detection of Diabetic Foot Ulcers
Full text linkObjective: To describe the challenges and lessons learned in adults with diabetes mellitus during the image collection phase of the Foot Selfie project, designed to develop and train an artificial intelligence (AI) algorithm for early detection of diabetic foot risk lesions.
Methods: Cross-sectional, mixed-methods study conducted in 2024 in five hospitals in Lima, Peru. Adults with type 1 or type 2 diabetes were recruited using non-probabilistic sampling. Plantar foot images labeled into eight categories were obtained in hospital settings, and a subgroup of participants were followed at home using a mobile application for daily photo capture; field reports were analyzed to identify operational barriers and facilitators.
Results: A total of 812 participants were enrolled (mean age: 60.7 ±10.2 years; 56% female), and 14,685 images were captured, 33% during home follow-up. Most participants were mestizo (71.8%) and had internet access (76%). Prior history of foot ulcers was reported by 33.5% of participants, partial amputations in 15.6% and toe deformities in 46.8%. Within the home follow-up group (n=92), only 3.3% completed the full 30-day period of daily photo capture. Main barriers included technical limitations (incompatible devices, low image resolution), inadequate lighting and low adherence due to competing responsibilities or limited digital literacy. Key facilitators included proactive follow-up by health personnel, caregiver support and educational reinforcement.
Conclusion: Large-scale image collection for AI training is feasible but requires tailored strategies to ensure technical quality, adherence and equity in implementation.
Keywords: diabetic foot, artificial intelligence, early detection, mHealth, lessons learne
Reducing Type 2 Diabetes Disparities Through Community-Based, Culturally Tailored Interventions: A Systematic Review of Evidence in Underserved Hispanic Urban Communities
Full text linkObjective:
To identify the most effective community-based strategies for type 2 diabetes (T2D) prevention and management among underserved, predominantly Hispanic urban populations.
Methods:
A systematic PubMed search (January 2014–March 2024) identified English-language systematic reviews examining T2D primary prevention or community-based interventions in U.S. urban settings with high Hispanic representation. Reviews limited to non-urban, pediatric, or type 1 diabetes populations were excluded. Eligible studies were selected through two-stage screening of titles/abstracts and full texts. Six systematic reviews encompassing over 60,000 participants were included. Although no formal risk-of-bias tool was applied, studies were appraised for design quality, sample size, and relevance to target population; consistency of findings across diverse settings supports reliability.
Results:
Culturally tailored diabetes self-management education (DSME) reduced HbA1c by 0.34–1.2% and improved quality of life, particularly when delivered in Spanish and with family involvement. Structured lifestyle interventions combining dietary guidance, physical activity, and behavioral support reduced diabetes-related morbidity and mortality by 10–15% and incidence by up to 58% in high-risk groups. DSME delivery at community venues or virtually improved engagement among low-income populations. Success factors included family participation and sociocultural adaptation; barriers included socioeconomic constraints, low health literacy, and adherence challenges.
Conclusion:
Effective strategies for urban Hispanic communities integrate culturally tailored DSME, accessible lifestyle interventions, and robust community support. Collaborative, multisectoral approaches that address social determinants of health—such as economic stability, language access, and transportation—are essential to reduce T2D disparities. Future efforts should expand virtual and community-embedded programs to promote equity and lasting impact
Social Determinants of Health in Bipolar Disorder and Schizophrenia: A Multilevel Analysis of Stress, Support, and Discrimination
Full text linkTrilateral Authoritarian Alliance: And the People\u27s Republic of China
Full text linkOver the past decade an alliance of authoritarian regimes has systematically built an interlocking series of echo chambers and media amplification nodes across Latin America for disinformation, misinformation and malign influence operations to undermine U.S. policy and actions in the hemisphere. The primary actors are Russian and Iranian state media and their regional allies of the Bolivarian alliance led by the Maduro regime in Venezuela.https://digitalcommons.fiu.edu/jgi_research/1069/thumbnail.jp
Engaging Communities to Build a Culture of Data Mutualism with Limited Resources
Full text linkThis chapter, Engaging Communities to Build a Culture of Data Mutualism with Limited Resources, from Data Culture in Academic Libraries: A Practical Guide to Building Communities, Partnerships, and Collaborations (Association of College and Research Libraries, 2025), explores how Florida International University Libraries developed a scalable and collaborative approach to research data management within a resource-constrained environment. The authors introduce the concept of data mutualism, a symbiotic relationship where the library supports data literacy, research consultation, and infrastructure while benefiting from enhanced institutional research outputs. Through grassroots initiatives, interdisciplinary collaborations, and strategically leveraging existing resources, the library cultivated a data-savvy community and expanded its capacity to meet evolving research needs. Key initiatives discussed include the establishment of the Digital Scholar Studio, the development of an institutional data repository, and the implementation of targeted workshops and consultations. The chapter concludes with strategies for scaling services, fostering a university-wide data culture, and aligning library efforts with institutional priorities and global data trends
Applying a Technology Integration Model to Guide Literacy Lesson Planning: A Focus on Teaching Critical Literacy Skills Using Multicultural Literature and Digital Tools
Full text linkThis article applies the PICRAT (Passive, Interactive, Creative, Replacement, Amplification and Transformation) Model to literacy planning within a K-8 context to provide literacy teacher educators and literacy teachers with a pathway into technology integration regardless of their degree of self-efficacy with technology. This article shares examples from simplest forms of replacement to more complex ideas intended to transform practice. More specifically, examples include use of multicultural literature to teach critical literacy skills within ELA or social studies. Examples are meant to be a scaffold to allow readers to envision their own innovative ideas for technology integration