Purpose: The purpose of the Diabetes Initiative of the Robert Wood Johnson Foundation is to demonstrate feasible and sustainable approaches to promoting diabetes self-management in primary care and community settings.
Methods: The Diabetes Initiative of the Robert Wood Johnson Foundation includes 14 demonstration projects in primary care settings and in community-clinical partnerships. Projects serve predominantly indigent populations from varied cultural and linguistic backgrounds in urban, rural, and frontier settings around the United States. This report describes the Initiative, its ecological perspective on self-management, and implications for program development, sustainability, and dissemination.
Results: Ecological perspectives stress varied levels of influence ranging from individuals to communities and policies. Based on this, the Initiative has identified key resources and supports for self-management (individualized assessment, collaborative goal setting, enhancing skills, follow-up and support, community resources, and continuity of quality clinical care). Lessons learned include the central roles of community health workers, integration of healthy coping and attention to negative emotion and depression in self-management, community partnerships, approaches to ongoing follow-up and support, organizational factors in sustaining programs, and the utility of a collaborative learning network for program development. Sustainability stresses organizational and policy supports for the program. Dissemination of lessons learned will stress collaboration among interested parties, stimulating consumer understanding and demand for self-management services as central to diabetes care.
Conclusions: The Diabetes Initiative demonstrates that effective self-management programs and supports can be implemented in real-world clinical and community settings, providing models of worthwhile, sustainable programs.
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http://dx.doi.org/10.1177/0145721706297454 | DOI Listing |
J Adv Nurs
January 2025
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Aim: To identify the barriers and enablers in the implementation of evidence-based physical activity (PA) programmes for the improvement of health outcomes among pregnant women with gestational diabetes mellitus (GDM), and to develop strategies for implementing this evidence in clinical practice.
Methods: A convergent mixed-methods study was conducted, integrating a descriptive qualitative research design with a cross-sectional survey. In-depth interview was used to collect the views and cognitions about physical activity from medical staff, leaders and pregnant women.
J Transl Med
January 2025
Research Unit NeuroBiology of Diabetes, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Background: Obese subjects undergoing weight loss often fear the Yoyo dieting effect, which involves regaining or even surpassing their initial weight. To date, our understanding of such long-term obesity and weight cycling effects is still limited and often based on only short-term murine weight gain and loss studies. This study aimed to investigate the long-term impacts of weight cycling on glycemic control and metabolic health, focusing on adipose tissue, liver, and hypothalamus.
View Article and Find Full Text PDFEBioMedicine
January 2025
Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark. Electronic address:
Background: Lipid species are emerging as biomarkers for cardiometabolic risk in both adults and children. The genetic regulation of lipid species and their impact on cardiometabolic risk during early life remain unexplored.
Methods: Using mass spectrometry-based lipidomics, we measured 227 plasma lipid species in 1149 children and adolescents (44.
Background: Peripheral metabolic health status can reflect and/or contribute to the risk of Alzheimer's disease (AD). Peripheral metabolic health status can be indicated by metabolic health markers, such as inflammatory biomarker glycoprotein acetyls (GlycA) and specific components of lipoproteins (e.g.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Hopkins Business of Health Initiative, Johns Hopkins University, Baltimore, MD, USA.
Autonomous artificial intelligence (AI) for pediatric diabetic retinal disease (DRD) screening has demonstrated safety, effectiveness, and the potential to enhance health equity and clinician productivity. We examined the cost-effectiveness of an autonomous AI strategy versus a traditional eye care provider (ECP) strategy during the initial year of implementation from a health system perspective. The incremental cost-effectiveness ratio (ICER) was the main outcome measure.
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