Type 2 diabetes (T2D) and its complications are increasing rapidly in low- and middle-income countries, as well as among socioeconomically disadvantaged populations in high-income countries. Support for healthy lifestyle and self-management is paramount but not well implemented in health systems, and there is need for knowledge on how to design and implement interventions that are contextualized and patient centered and address special needs of disadvantaged population groups. The SMART2D project implements and evaluates a lifestyle and self-management intervention for participants recently diagnosed with or being at increased risk for T2D in rural communities in Uganda, an urban township in South Africa, and socioeconomically disadvantaged urban communities in Sweden. Our aim was to develop an intervention with shared key functions and a good fit with the local context, needs, and resources. The intervention program design was conducted in three steps facilitated by a coordinating team: (a) situational analysis based on the SMART2D Self-Management Framework and definition of intervention objectives and core strategies; (b) designing generic tools for the strategies; and (c) contextual translation of the generic tools and their delivery. This article focuses on community strategies to strengthen support from the social and physical environment and to link health care and community support. Situational analyses showed that objectives and key functions addressing mediators from the SMART2D framework could be shared. Generic tools ensured retaining of functions, while content and delivery were highly contextualized. Phased, collaborative approach and theoretical framework ensured that key functions were not lost in contextualization, also allowing for cross-comparison despite flexibility with other aspects of the intervention between the sites. The trial registration number of this study is ISRCTN11913581.
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Cell Calcium
January 2025
IGBMC (Institut de Génétique et de Biologie Moléculaire et Cellulaire), Inserm U1258, CNRS UMR7104, Université de Strasbourg, 67404 Illkirch, France. Electronic address:
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFAnnu Rev Biomed Eng
January 2025
1Center for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA;
Gene therapy is a rapidly developing field, finally yielding clinical benefits. Genetic engineering of organs for transplantation may soon be an option, thanks to convergence with another breakthrough technology, ex vivo machine perfusion (EVMP). EVMP allows access to the functioning organ for genetic manipulation prior to transplant.
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Acta Bioeng Biomech
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2Department of Individual Sports, High Institute of Sport and Physical Education of Ksar Said, Manouba University, Tunisia.
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