The transcultural diabetes nutrition algorithm: a canadian perspective

The Transcultural Diabetes Nutrition Algorithm: A Middle Eastern Version

Diabetes prevalence is on the rise in the Middle East. In countries of the Gulf region-Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates-prevalence rates are among the highest in the world. Further, Egypt now ranks as one of the top 10 countries in the world for high number of people with diabetes. Medical nutrition therapy is key to optimal management of diabetes. Patient adherence to nutritional guidance depends on advice that is tailored to regional foods and cultural practices. In 2012, international experts created a transcultural Diabetes Nutrition Algorithm (tDNA) for broad applicability. The objective of this current project was to adapt the algorithm and supportive materials to the Middle East region. A Task Force of regional and global experts in the fields of diabetes, obesity, and metabolic disorders met to achieve consensus on Middle East-specific adaptations to the tDNA. Recommendations, position statements, figures, and tables are presented here, representing conclusions of the tDNA-Middle Eastern (tDNA-ME) Task Force. Educational materials can be used to help healthcare professionals optimize nutritional care for patients with type 2 diabetes. The tDNA-ME version provides evidence-based guidance on how to meet patients' nutritional needs while following customs of people living in the Middle Eastern region.

Roles for community health workers in diabetes prevention and management in low- and middle-income countries

Diabetes prevalence is increasing worldwide, especially in low- and middle-income countries (LMIC), posing the need for improved detection and management strategies. Chronic disease models and lifestyle medicine provide structures for action. Community health workers (CHWs) can significantly contribute to chronic disease care if they are trained and integrated into low-resource health systems. Although most current CHWs worldwide are performing maternal/child health and infectious disease-related tasks, other programs involving CHWs for noncommunicable disease prevention and management are increasing. In this article, we discuss the advantages, challenges, and questions regarding possible roles assigned to CHWs in the prevention and management of diabetes. These roles include performing simple screening tests, implementing lifestyle/behavioral interventions, and connecting patients with alternatives to biomedicine. Specifically, CHWs can aid diabetes epidemiological surveillance by conducting risk score-based screening or capillary glucose testing, and they can facilitate diabetes self-management by delivering interventions described in the transcultural diabetes nutrition algorithm. Furthermore, while this role has not formally been assigned, CHWs can leverage their intimate knowledge of local practices to provide decision-making support to patients in environments with pluralistic health systems. Ethnocultural differences in CHW functions and transcultural adaptations of their roles in diabetes care should also be considered. In summary, CHWs can improve diabetes care by screening high-risk individuals and implementing lifestyle interventions, especially in LMIC.

Transcultural Endocrinology: Adapting Type-2 Diabetes Guidelines on a Global Scale

Type-2 diabetes (T2D) needs to be prevented and treated effectively to reduce its burden and consequences. White papers, such as evidence-based clinical practice guidelines (CPG) and their more portable versions, clinical practice algorithms and clinical checklists, may improve clinical decision-making and diabetes outcomes. However, CPG are underused and poorly validated. Protocols that translate and implement these CPG are needed. This review presents the global dimension of T2D, details the importance of white papers in the transculturalization process, compares relevant international CPG, analyzes cultural variables, and summarizes translation strategies that can improve care. Specific protocols and algorithmic tools are provided.

Transcultural Diabetes Nutrition Algorithm: Brazilian Application

The prevalence of obesity, pre-diabetes, and type 2 diabetes (T2D) is increasing worldwide, especially in the developing nations of South America. Brazil has experienced an exponential increase in the prevalence of these chronic non-communicable diseases. The rising prevalence is probably due to changing eating patterns, sedentary living, and a progressive aging of the population. These trends and their underlying causes carry untoward consequences for all Brazilians and the future of Brazilian public health and the healthcare system. Lifestyle changes that include healthy eating (nutrition therapy) and regular physical activity (structured exercise) represent efficient inexpensive measures to prevent and/or treat the aforementioned disorders and are recommended for all afflicted patients. Regrettably, the implementation of lifestyle changes is fraught with clinical and personal challenges in real life. The transcultural Diabetes Nutrition Algorithm (tDNA) is a therapeutic tool intended to foster implementation of lifestyle recommendations and to improve disease-related outcomes in common clinical settings. It is evidence-based and amenable to cultural adaptation. The Brazilian Diabetes Association, Society of Cardiology and Ministry of Health guidelines for nutrition therapy and physical exercise were considered for the Brazilian adaptation. The resultant tDNA-Brazil and its underlying recommendations are presented and explained.