To tackle diabetes, science and health systems must take into account social context

Optimizing diabetes management interventions for Black and Hispanic adults using the multiphase optimization strategy: Protocol for a randomized mixed methods factorial trial

BACKGROUND

Black and Hispanic adults with diabetes are more likely to experience diabetes complications and die from diabetes compared to non-Hispanic whites. This disparity may be due to medication adherence being negatively affected by social determinants of health (SDOH) and negative beliefs about diabetes and diabetes medicines. Pharmacist delivered medication therapy management (MTM) improves clinical outcomes. However, pharmacists have limited capacity and expertise to address SDOH barriers and health misperceptions. Supplementing MTM with Community Health Workers (CHWs) to address these factors may be more effective with potential for implementation.

AIM

To investigate what combination of two possible components, pharmacist delivered MTM and CHWs addressing SDOH barriers and health misperceptions, represents the optimized intervention for Black and Hispanic adults with uncontrolled diabetes.

METHODS/DESIGN

We will use a 2 × 2 factorial design (MTM, CHW: ON vs. OFF) where participants will be randomized to one of four treatment conditions in a 6-month intervention delivered mostly by phone. We will recruit 376 Black or Hispanic adults with type 2 diabetes and hemoglobin A1C of ≥8 %, a clinical indicator of uncontrolled type 2 diabetes. The primary outcome is A1C measured at 6 months, and at 12 months for sustained change. The secondary outcome is medication adherence. Several psychosocial factors will be examined as potential mediators. An embedded experimental mixed methods approach will be used to obtain participant perspectives through qualitative interviews and integrated to assess intervention acceptability.

DISCUSSION

Our findings will identify the optimized intervention, e.g., comprising MTM or CHW or both intervention components, that effectively and efficiently improves diabetes outcomes among Black and Hispanic adults with uncontrolled diabetes, informing dissemination.

Epidemiology of cardiometabolic health in Latin America and strategies to address disparities

In Latin America and the Caribbean (LAC), sociodemographic context, socioeconomic disparities and the high level of urbanization provide a unique entry point to reflect on the burden of cardiometabolic disease in the region. Cardiovascular diseases are the main cause of death in LAC, precipitated by population growth and ageing together with a rapid increase in the prevalence of cardiometabolic risk factors, predominantly obesity and diabetes mellitus, over the past four decades. Strategies to address this growing cardiometabolic burden include both population-wide and individual-based initiatives tailored to the specific challenges faced by different LAC countries, which are heterogeneous. The implementation of public policies to reduce smoking and health system approaches to control hypertension are examples of scalable strategies. The challenges faced by LAC are also opportunities to foster innovative approaches to combat the high burden of cardiometabolic diseases such as implementing digital health interventions and team-based initiatives. This Review provides a summary of trends in the epidemiology of cardiometabolic diseases and their risk factors in LAC as well as context-specific disease determinants and potential solutions to improve cardiometabolic health in the region.

Enhancing Diabetes Care through a Mobile Application: A Randomized Clinical Trial on Integrating Physical and Mental Health among Disadvantaged Individuals

BACKGRUOUND

This study examines integrating physical and mental healthcare for disadvantaged persons with type 2 diabetes mellitus and mild-to-moderate depression in the community, using a mobile application within a public-private-academic partnership.

METHODS

The Korean Diabetes Association has developed a mobile application combining behavioral activation for psychological well-being and diabetes self-management, with conventional medical therapy. Participants were randomly assigned to receive the application with usual care or only usual care. Primary outcomes measured changes in psychological status and diabetes selfmanagement through questionnaires at week 12 from the baseline. Secondary outcomes assessed glycemic and lipid control, with psychological assessments at week 16.

RESULTS

Thirty-nine of 73 participants completed the study (20 and 19 in the intervention and control groups, respectively) and were included in the analysis. At week 12, the intervention group showed significant reductions in depression severity and perceived stress compared to the control group. Additionally, they reported increased perceived social support and demonstrated improved diabetes self-care behavior. These positive effects persisted through week 16, with the added benefit of reduced anxiety. While fasting glucose levels in the intervention group tended to improve, no other significant differences were observed in laboratory assessments between the groups.

CONCLUSION

This study provides compelling evidence for the potential efficacy of a mobile application that integrates physical and mental health components to address depressive symptoms and enhance diabetes self-management in disadvantaged individuals with type 2 diabetes mellitus and depression. Further research involving larger and more diverse populations is warranted to validate these findings and solidify their implications.

Peer Ambassador Perspectives in a Culturally Tailored Self-Management Intervention for African Americans with Type 2 Diabetes: A Qualitative Study

OBJECTIVE

Diabetes disproportionately affects African Americans, leading to higher morbidity and mortality. This study explores the experiences of African American adults who successfully self-manage their type 2 diabetes (called Peer Ambassadors) and provided phone-based peer support in a 6-month culturally tailored diabetes self-management program for African Americans guided by the information-motivation-behavioral skills model.

DESIGN

A group discussion using a semi-structured discussion guide was conducted. Qualitative content analysis was used to identify the facilitators and barriers to completing the role of a Peer Ambassador and to develop strategies for overcoming possible challenges in the future.

SETTING

Key informant discussions were conducted in a community location to gain insights into Ambassadors' motivations and challenges in delivering peer support.

PARTICIPANTS

Three Peer Ambassadors completed ethics training and peer mentor training and received a phone call guide before providing support to their peers.

RESULTS

There were four core themes related to Peer Ambassador experiences: (1) Motivation to be a Peer Ambassador, (2) program elements that supported Peer Ambassador role, (3) key elements of achieving engagement, and (4) challenges related to being a Peer Ambassador.

CONCLUSIONS

This study showed Peer Ambassadors in a culturally tailored peer supported self-management program found fulfillment in sharing experiences and supporting peers. They highly valued educational group sessions for knowledge updates and sustaining their health-related goals, suggesting the potential benefits of recognizing milestones or providing advanced training for future program sustainability. Findings suggest the importance of recruiting motivated patients and providing effective facilitation for peer support roles, including addressing barriers such as time commitment and lack of socialization opportunities.

Revolutionizing Early Disease Detection: A High-Accuracy 4D CNN Model for Type 2 Diabetes Screening in Oman

The surge of diabetes poses a significant global health challenge, particularly in Oman and the Middle East. Early detection of diabetes is crucial for proactive intervention and improved patient outcomes. This research leverages the power of machine learning, specifically Convolutional Neural Networks (CNNs), to develop an innovative 4D CNN model dedicated to early diabetes prediction. A region-specific dataset from Oman is utilized to enhance health outcomes for individuals at risk of developing diabetes. The proposed model showcases remarkable accuracy, achieving an average accuracy of 98.49% to 99.17% across various epochs. Additionally, it demonstrates excellent F1 scores, recall, and sensitivity, highlighting its ability to identify true positive cases. The findings contribute to the ongoing effort to combat diabetes and pave the way for future research in using deep learning for early disease detection and proactive healthcare.

Diabetes Care in Humanitarian Settings

Despite the increasing prevalence of diabetes in populations experiencing humanitarian crisis, along with evidence that people living with diabetes are at higher risk for poor outcomes in a crisis, diabetes care is not routinely included in humanitarian health interventions. We here describe 4 factors that have contributed to the inequities and lack of diabetes inclusion in humanitarian programmes: (1) evolving paradigms in humanitarian health care, (2) complexities of diabetes service provision in humanitarian settings, (3) social and cultural challenges, and (4) lack of financing. We also outline opportunities and possible interventions to address these challenges and improve diabetes care among crisis-affected populations.

Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data

BACKGROUND

The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs.

METHODS

We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A1c available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities.

FINDINGS

The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5-42·8]) were considered at high risk of diabetes (20·6% [19·8-21·5] in low-income countries, 38·0% [37·2-38·9] in lower-middle-income countries, and 57·5% [54·3-60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6-41·4) for physical activity counselling, 37·1% (35·9-38·4) for weight loss counselling, 42·7% (41·6-43·7) for dietary counselling, and 37·1% (34·7-39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6-71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4-50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6-9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5-23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education.

INTERPRETATION

A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide.

FUNDING

Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program and the EU's Research and Innovation programme Horizon 2020.

How Could Taxes on Sugary Drinks and Foods Help Reduce the Burden Of Type 2 Diabetes?

PURPOSE OF REVIEW

Taxes on sugary drinks and foods have emerged as a key strategy to counteract the alarming levels of diabetes worldwide. Added sugar consumption from industrialized foods and beverages has been strongly linked to type 2 diabetes. This review provides a synthesis of evidence on how taxes on sugary products can influence the onset of type 2 diabetes, describing the importance of the different mechanisms through which the consumption of these products is reduced, leading to changes in weight and potentially a decrease in the incidence of type 2 diabetes.

RECENT FINDINGS

Observational studies have shown significant reductions in purchases, energy intake, and body weight after the implementation of taxes on sugary drinks or foods. Simulation studies based on the association between energy intake and type 2 diabetes estimated the potential long-term health and economic effects, particularly in low- and middle-income countries, suggesting that the implementation of sugary food and beverage taxes may have a meaningful impact on reducing type 2 diabetes and complications. Public health response to diabetes requires multi-faceted approaches from health and non-health actors to drive healthier societies. Population-wide strategies, such as added sugar taxes, highlight the potential benefits of financial incentives to address behaviors and protective factors to significantly change an individual's health trajectory and reduce the onset of type 2 diabetes worldwide, both in terms of economy and public health.

Multimorbidity

Multimorbidity (two or more coexisting conditions in an individual) is a growing global challenge with substantial effects on individuals, carers and society. Multimorbidity occurs a decade earlier in socioeconomically deprived communities and is associated with premature death, poorer function and quality of life and increased health-care utilization. Mechanisms underlying the development of multimorbidity are complex, interrelated and multilevel, but are related to ageing and underlying biological mechanisms and broader determinants of health such as socioeconomic deprivation. Little is known about prevention of multimorbidity, but focusing on psychosocial and behavioural factors, particularly population level interventions and structural changes, is likely to be beneficial. Most clinical practice guidelines and health-care training and delivery focus on single diseases, leading to care that is sometimes inadequate and potentially harmful. Multimorbidity requires person-centred care, prioritizing what matters most to the individual and the individual's carers, ensuring care that is effectively coordinated and minimally disruptive, and aligns with the patient's values. Interventions are likely to be complex and multifaceted. Although an increasing number of studies have examined multimorbidity interventions, there is still limited evidence to support any approach. Greater investment in multimorbidity research and training along with reconfiguration of health care supporting the management of multimorbidity is urgently needed.

Regional and state-level patterns of type 2 diabetes prevalence in Mexico over the last three decades

AIMS

We aimed to characterize and illustrate the regional and state-level change in type 2 diabetes (T2D) prevalence in Mexico between 1990 and 2017.

METHODS

We conducted an ecological and secondary analysis using data from the Global Burden of Disease study on T2D prevalence of the adult Mexican population. We estimated the absolute increase and annual growth rate of T2D prevalence between 1990 and 2017, stratified by age group and region.

RESULTS

Nationally, between 1990 and 2017, the prevalence of T2D in Mexico increased from 9.5% to 14.3%. The highest increase in T2D prevalence was observed in the East and Southcentral regions, with the lowest absolute change in T2D prevalence observed in Northern states. The highest average annual growth rate in T2D prevalence was observed in Southern Mexico, in the three Southern states with the lowest human development index, and among individuals ages 15-49 years across all regions, compared to those 50 years and older.

CONCLUSIONS

The prevalence of T2D in Mexico has increased substantially over the past three decades, with a clear shift in T2D prevalence from Northern to Southern states and a faster increase occurring in Southern Mexico among younger adults and in areas with lower economic resources.