Socioeconomic status and risk of diabetes-related mortality in the U.S

The COVID-19 syndemic: a perfect storm for the life expectancy of the most disadvantaged Americans

BACKGROUND

To explore the syndemic nature of the COVID-19 pandemic by identifying which subpopulations in the United States (US) suffered the greatest losses in life expectancy (LE) in 2020 and 2021, and to which extent these losses can be attributed to COVID-19 and 'other' causes of death.

METHODS

We analysed individual death records for 2018-2021 from the National Vital Statistics System and population counts from the American Community Survey. Life table and continuous change decomposition analyses were used to quantify cause-/.specific contributions to changes in LE over time in population subgroups defined by sex, educational attainment, and race/ethnicity.

RESULTS

From 2019 to 2020, educational differences in LE (high minus low education) increased substantially by 5.0 and 2.6 years in Hispanic men and women, respectively, with increases of one to two years among Black and White adults. Nearly all losses in LE among high-education Hispanic and White groups were due to COVID-19, while among low-education White and Black groups, COVID-19 accounted for 40%-47% of the total losses in LE. Changes in LE were much smaller during 2020-2021.

CONCLUSIONS

COVID-19 widened preexisting inequalities in LE in the US, both via direct mortality and through syndemic interactions with other diseases and health conditions. The underlying social, political, economic, and environmental factors driving the clustering and interaction of diseases among the most disadvantaged Americans need to be addressed.

From inequalities to solutions: an explanatory sequential study on type 2 diabetes health services utilization

BACKGROUND

Health inequities are a significant issue. This study aimed to measure and decompose socioeconomic inequality in the utilization of type 2 diabetes (T2D) services and propose solutions to mitigate these inequalities.

METHODS

This explanatory sequential mixed-method study was conducted in two phases: quantitative and qualitative. A total of 2000 T2D patients from health centers, hospitals, and diabetes clinics in Isfahan and Khuzestan provinces, Iran, were selected. In the quantitative phase, the existence of inequality in the utilization of T2D services was examined using the Concentration Index (CI) approach. To determine the contribution of each explanatory variable to T2D inequality, we used concentration index decomposition analysis. In the qualitative phase, based on the main contributors identified in the quantitative phase, we conducted semi-structured interviews with purposefully selected key experts to identify solutions for reducing inequality in the utilization of T2D services.

RESULTS

The sample consisted of 65.3% men, with 40% of T2D patients being over 60 years old. The CI values were 0.31 (p < 0.05) for outpatient services, -0.10 (p > 0.05) for inpatient services, and 0.11 (p < 0.05) for pharmaceutical services. This indicates an inequality in the utilization of outpatient and pharmaceutical services among T2D patients, while the inequality in inpatient services was not significant. The main variables contributing to inequality in outpatient services were health status (33.54%), basic insurance (27.43%), and socioeconomic status (24.08%). For pharmaceutical services, the contributing variables were health status (22.20%), basic insurance (13.63%), and socioeconomic status (34.35%). Experts' solutions to reduce socioeconomic inequalities in Iran were classified into three main themes: socioeconomic status, health status, and basic insurance, with 29 sub-themes.

CONCLUSION

The results suggest that targeted health interventions for poor T2D patients are recommended. Efforts towards universal coverage in outpatient care and commonly used pharmaceutical items, such as: Antidiabetic Drugs, Triglyceride Control Drugs, Cardiovascular Drugs, Neuropathy Drugs, and Nephropathy Drugs, should be considered.

Composite cardiovascular risk factor control in US adults with diabetes and relation to social determinants of health: The All of Us research program

Background

Data are limited on composite cardiovascular risk factor control in patients with type 2 diabetes mellitus (T2DM). This study aims to identify disparities in cardiovascular risk factor control based on most recent recommendations and relationships to social determinants of health in a large-scale real-world cohort of US adults.

Methods

We analyzed data from 88,416 participants with T2DM in the NIH Precision Medicine Initiative All of Us Research Program 2018-2022. We investigated the management of five key cardiovascular risk factors-glycated hemoglobin (HbA1c), LDL cholesterol (LDL-C), body mass index (BMI), blood pressure (BP), and smoking status. Statistical methods included Chi-square tests for categorical comparisons, t-tests for mean differences, and multiple logistic regression to assess the impact of demographic and socioeconomic factors on risk factor control.

Results

The study revealed low risk factor control with only 27.7 % of participants achieving recommended levels for three or more risk factors (RFs) and 4.9 % for four or more RFs. Overall, while 81.0% were at target for HbA1c, only 37.9% were at target for BP and 10.4% for LDL-C. Notably, only 1.9 % and 6.9 % were at target for HbA1c, LDL-C, and BP together, based on current and prior recommendations, respectively. Significant disparities were observed across race/ethnicity, sex, and socioeconomic lines with 43.1 % of Asian participants at control for ≥3 RFs compared to 21.1 % of non-Hispanic black participants. In logistic regression analysis, factors such as higher income, higher educational attainment, and health insurance were associated with better RF control, while higher polysocial risk scores linked to poorer control.

Conclusions

Despite some progress in managing individual CVD risk factors in T2DM, overall composite risk factor control remains poor, especially among underrepresented and socioeconomically disadvantaged groups. The findings highlight the necessity for integrated healthcare strategies that address both medical and social needs to improve control of CVD risk factors and outcomes in T2DM.

Evaluation of factors predicting transition from prediabetes to diabetes among patients residing in underserved communities in the United States - A machine learning approach

INTRODUCTION

Over one-third of the population in the United States (US) has prediabetes. Unfortunately, underserved population in the United States face a higher burden of prediabetes compared to urban areas, increasing the risk of stroke and heart disease. There is a gap in the literature in understanding early predictors of diabetes among patients with prediabetes living in underserved communities in the United States. Hence, this study's objective is to identify factors influencing the transition from prediabetes to diabetes in rural or underserved communities using a machine learning approach.

METHODS

We conducted a retrospective analysis of data from prediabetic patients between 2012 and 2022. Eligible participants were at least 18 years old with baseline HbA1c levels between 5.7 % and 6.4 %. Eleven machine learning algorithms were evaluated using ten-fold cross-validation, including Logistic Regression (LR), Support Vector Classifier (SVC), K-nearest Neighbor (KNN), Gaussian Naive Bayes (GaussianNB), Bernoulli Naive Bayes (BernoulliNB), Adaptive Boosting (AdaBoost), Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and Extra Trees (ET). Subsequently, the SHAP framework was used to assess predictor influence and interactions observed with the top model.

RESULTS

Out of 5816 patients, 1910 met the criteria, with 426 progressing to diabetes. The Random Forest model achieved the highest accuracy (90.0 %) and AUC (0.963), followed by Extra Trees (89.5 % accuracy, AUC 0.962) and XGBoost (88.6 % accuracy, AUC 0.952). Logistic Regression demonstrated lower performance but outperformed other models such as K-Nearest Neighbors and Gaussian Naive Bayes. SHAP analysis with the RF model identified key predictors and their interactions. A significant interaction showed that lower BMI values, combined with increasing age, were associated with a reduced risk of diabetes progression, while higher BMI at younger ages increased the likelihood of progression. Additionally, several social determinants of health were identified as significant predictors.

CONCLUSION

Among the 11 models, the Random Forest model showed the strongest reliability for predicting diabetes progression. The results of this study can be used to inform public policy implications for the development of early, targeted interventions focusing on social determinants of health, dietary counseling, and BMI management to prevent diabetes in underserved communities.

Impact of Medically Tailored Meals on Clinical Outcomes Among Low-Income Adults with Type 2 Diabetes: A Pilot Randomized Trial

BACKGROUND

Adults with type 2 diabetes (T2DM) and adverse social determinants of health experience barriers to healthful eating, and achieve poorer glycemic control and clinical outcomes.

OBJECTIVE

To examine the impact of medically tailored meals (MTM) with medical nutrition therapy (MNT) on clinical outcomes among adults with DM.

DESIGN

Pilot randomized controlled trial.

PARTICIPANTS

English-speaking adults with DM and hemoglobin A1c (A1c) levels > 8% insured by Maryland Medicaid plans.

INTERVENTION

The treatment group received home delivery of 12 medically tailored, frozen meals and a fresh produce bag weekly for 3 months, and individual calls with a registered dietitian monthly for 6 months in addition to usual care. The control group received usual care. Outcomes were change from baseline to 6 months in A1c (primary), body mass index (BMI), blood pressure, food insecurity, and diabetes-related quality of life, knowledge, and self-efficacy (secondary).

KEY RESULTS

We randomized 74 adults; 77% completed data collection. The mean age was 48 years, 40% were male, 77% were Black, and the mean A1c was 10.3%. Eighty-six percent of meals were delivered, and on average 4.8 nutrition visits were completed. At 6 months, both groups had similar improvements in A1c (- 0.7 vs. - 0.6%); the control group reported more favorable changes in diabetes medications. Changes in systolic blood pressure and BMI at 6 months did not differ between groups. Diabetes-related quality of life, knowledge, and self-efficacy improved modestly, but not differently by group. Food insecurity decreased significantly from baseline to 3 months in the intervention (53 to 17%) compared to control (48 to 44%; p < 0.05), which lessened but remained significant at 6 months.

CONCLUSIONS

Recruitment and retention of an at-risk group of adults with DM was feasible. Intervention uptake was good but did not improve clinical outcomes. More comprehensive and clinically integrated interventions are likely needed to achieve significant clinical benefits.

CLINICALTRIALS

GOV REGISTRATION

NCT04034511.

Associations between income/employment status and diabetes care processes, health behaviors, and health outcomes in Japan: A cross-sectional study using claims data linked to a questionnaire survey

AIMS/INTRODUCTION

We aimed to explore the associations between income/employment status and diabetes care processes, health behaviors and health outcomes.

MATERIALS AND METHODS

This cross-sectional study used health insurance claims data between April 2021 and March 2022, and a questionnaire survey between December 2022 and January 2023 in Tsukuba City. The study analyzed the participants with diabetes (other than type 1) from those selected by stratified random sampling. We evaluated diabetes care processes, health behaviors and health outcomes by calculating weighted proportions among the groups. We also assessed the associations between income/employment status and these variables using multivariable modified Poisson regression models.

RESULTS

Of the 264 identified participants, 161 (64.2%) were men and 168 (72.8%) were aged ≥65 years old. Compared with the low-income groups, the high-income group had a higher proportion of sodium-glucose cotransporter 2 inhibitors or glucagon-like peptide-1 receptor agonists use (adjusted risk ratio [aRR] 1.70, 95% confidence interval (CI) 1.07-2.72), a higher proportion of attendance to annual health checkups for ≥2 years (aRR 1.68, 95% CI 1.07-2.64) and a lower proportion of all-cause hospitalization (aRR 0.15, 95% CI 0.04-0.48); additionally, the middle-income group had a lower proportion of high total outpatient medical expenses (aRR 0.57, 95% CI 0.35-0.92). Compared to the no work time group, the full-time work group had a lower proportion of exercise habits (aRR 0.59, 95% CI 0.35-0.99) and a higher proportion of good self-reported health (aRR 2.08, 95% CI 1.22-3.55).

CONCLUSIONS

Several variables were associated with income/employment status. Policy intervention should focus on high-risk groups identified by considering these associations.

Diabetes Disparities in the United States: Trends by Educational Attainment from 2001 to 2020

INTRODUCTION

Tracking changes in socioeconomic disparities in diabetes in the U.S. is important to evaluate progress in health equity and guide prevention efforts. Disparities in diabetes prevalence by educational attainment from 2001 to 2020 were investigated.

METHODS

Using a serial cross-sectional design, data from 33,220 adults aged 30-79 assessed in nine rounds of the National Health and Nutrition Examination Surveys between 2001 and 2020 were analyzed in 2023-2024. Diabetes was defined as self-reported prior diagnosis, elevated glycated hemoglobin (HbA1c≥6.5%), or use of diabetes medications. Marginalized age- and covariate-adjusted prevalence differences (PD) and prevalence ratios (PR) of diabetes by educational attainment (less than high school graduation, high school graduation, some college education or associate degree, or college graduation [reference]) by calendar period (2001-2004, 2005-2008, 2009-2012, 2013-2016, 2017-2020) were derived from logistic regression models.

RESULTS

From 2001 to 2020, age-adjusted diabetes prevalence was consistently higher among adults without a college degree. Adults without a high school diploma exhibited the largest disparities in both 2001-2004 (PD 8.0%; 95%CI 5.6-10.5 and PR 2.1; 95%CI 1.5-2.6) and 2017-20 (PD 11.0%; 95%CI 6.7-15.2 and PR 2.1; 95%CI 1.5-2.7). Between 2001-2004 and 2017-2020, the absolute disparity in diabetes changed only among adults with a high school diploma (increase from PD 1.7%; 95%CI -0.5- 3.9 to PD 8.8% 95%CI 4.1-13.4, respectively), while the PR did not change in any group. Education-related disparities in diabetes were attenuated after accounting for socio-demographic factors and BMI.

CONCLUSIONS

From 2001 to 2020, national education-related disparities in diabetes prevalence have shown no signs of narrowing.

The impact of social deprivation on development and progression of diabetic kidney disease

Introduction

Diabetes is one of the leading causes of chronic kidney disease. Social deprivation is recognised as a risk factor for complications of diabetes, including diabetic kidney disease. The effect of deprivation on rate of decline in renal function has not been explored in the Irish Health System to date. The objective of this study is to explore the association between social deprivation and the development/progression of diabetic kidney disease in a cohort of adults living with diabetes in Ireland.

Methods

This is a retrospective cohort study using an existing dataset of people living with diabetes who attended the diabetes centre at University Hospital Galway from 2012 to 2016. The variables included in this dataset include demographic variables, type and duration of diabetes, clinical variables such as medication use, blood pressure and BMI and laboratory data including creatinine, urine albumin to creatinine to ratio, haemoglobin A1c and lipids. This dataset will be updated with laboratory data until January 2023. Individual's addresses will be used to calculate deprivation indices using the Pobal Haase Pratschke (HP) deprivation index. Rate of renal function decline will be calculated using linear mixed-effect models. The relationship between deprivation and renal function will be assessed using linear regression (absolute and relative rate of renal function decline based on eGFR) and logistic regression models (rapid vs. non-rapid decline).

BCLA CLEAR Presbyopia: Epidemiology and impact

The global all-ages prevalence of epidemiologically-measured 'functional' presbyopia was estimated at 24.9% in 2015, affecting 1.8 billion people. This prevalence was projected to stabilise at 24.1% in 2030 due to increasing myopia, but to affect more people (2.1 billion) due to population dynamics. Factors affecting the prevalence of presbyopia include age, geographic location, urban versus rural location, sex, and, to a lesser extent, socioeconomic status, literacy and education, health literacy and inequality. Risk factors for early onset of presbyopia included environmental factors, nutrition, near demands, refractive error, accommodative dysfunction, medications, certain health conditions and sleep. Presbyopia was found to impact on quality-of-life, in particular quality of vision, labour force participation, work productivity and financial burden, mental health, social wellbeing and physical health. Current understanding makes it clear that presbyopia is a very common age-related condition that has significant impacts on both patient-reported outcome measures and economics. However, there are complexities in defining presbyopia for epidemiological and impact studies. Standardisation of definitions will assist future synthesis, pattern analysis and sense-making between studies.

The impact of multiple deprivation on the management of vestibular schwannomas

PURPOSE

While some factors have been well-shown to affect the decision-making in treating patients with vestibular schwannomas (VS), little is known on the role of deprivation. Our objective was to assess the effect of socioeconomic background on the management of patients with VS.

METHODS

This retrospective cohort study included 460 patients with sporadic VS from West of Scotland. The postcode-based, multifactorial Scottish Index of Multiple Deprivation (SIMD) was used to assess the socioeconomic background of each patient. We performed a multivariate analysis including tumour size, growth and patient age with management modality (observation, stereotactic radiotherapy, microsurgery) being the main outcome measure and outcome (need for additional treatment) an additional measure.

RESULTS

We found no significant difference in the demographics, tumour characteristics and primary treatment choice between patients with different SIMD scores. In addition, there was no statistically significant difference in the growth occurrence rates following first-line treatment (p = 0.964) and in the second-line treatment choice (p = 0.460).

CONCLUSIONS

Multiple deprivation does not affect decision making in patients with VS in the examined cohort. This is probably linked to the centralisation and uniformity of the service and might not necessarily be applicable to other health services without centralisation.

Continuous Glucose Monitor: Reclaiming Type 2 Diabetes Self-efficacy and Mitigating Disparities

Context

The rise in continuous glucose monitor (CGM) use has been characterized by widening disparities between the least and most socially marginalized. Given access barriers, there is limited CGM patient experience information that is inclusive of those with type 2 diabetes mellitus from socially marginalized backgrounds.

Objective

To understand the CGM usage experience in the primary care setting across a US Medicaid population with type 2 diabetes at federally qualified health centers.

Methods

This qualitative study used semi-structured phone interviews with 28 English- or Spanish-speaking participants prescribed the CGM who were enrolled in a US Medicaid program that subsidized CGMs. Audio recordings of interviews were transcribed and analyzed by reflective thematic analysis.

Results

Twenty-eight participants (75% female, median age 56 years with interquartile-range 48-60 years) were interviewed. Participants were from different racial/ethnic backgrounds: 21% non-Hispanic White, 57% Hispanic, and 18% non-Hispanic Black. Participants primarily spoke English (68%) or Spanish (32%), and 53% reported 9 or fewer years of formal education. We identified 6 major themes: initial expectations and overcoming initiation barriers, convenience and ease promote daily use, increased knowledge leads to improved self-management, collaboration with provider and clinical team, improved self-reported outcomes, and barriers and burdens are generally tolerated.

Conclusion

CGM use was experienced as easy to understand and viewed as a tool for diabetes self-efficacy. Expanded CGM access for socially marginalized patients with type 2 diabetes can enhance diabetes self-management to help mitigate diabetes outcome disparities.

Diabetes in Trauma Patients: A Potential Gateway to a Medical Home

BACKGROUND

Diabetes is a major determinant of health outcomes. Trauma patients are disproportionately from lower socioeconomic status, where lack of access to health care prevents timely treatment. Trauma centers could play a role in identifying patients in need of improved glucose management, but the current burden of disease is not known. We assessed the incidence of patients in need of intervention that presented to a level 1 trauma center over a 6-month period.

METHODS

A retrospective chart review over 6 months of all trauma patients admitted to a level 1 trauma center was performed. Patients' past medical history (PMH), medication reconciliation, and hemoglobin A1c (HbA1c) were recorded on initial assessment; patients <18 years old, lacking an HbA1c, or missing PMH were excluded. Patients with PMH of diabetes or antihyperglycemic use were classified by HbA1c: well-controlled ≤8.0% or poorly controlled >8.0%. Patients with no history of diabetes or antihyperglycemic use were classified based on their HbA1c: non-diabetic <5.7%, pre-diabetic 5.7-6.4%, and undiagnosed diabetic ≥6.5%.

RESULTS

Overall, 1377 patients were identified. After exclusion criteria, 903 patients were classified as follows: 593 (66%) non-diabetics, 160 (18%) pre-diabetics, and 150 (17%) diabetics. Fifteen diabetics were undiagnosed; 39 of the diagnosed diabetics were poorly controlled. Including pre-diabetics, a total of 214 (24%) trauma patients were in need of improved glycemic control.

DISCUSSION

One in four trauma patients would benefit from improved outpatient glycemic management, representing a missed opportunity for preventative health care. Trauma centers should develop strategies to meet this need as part of their post-discharge care.

Geographic disparities and temporal changes of diabetes-related mortality risks in Florida: a retrospective study

Background

Over the last few decades, diabetes-related mortality risks (DRMR) have increased in Florida. Although there is evidence of geographic disparities in pre-diabetes and diabetes prevalence, little is known about disparities of DRMR in Florida. Understanding these disparities is important for guiding control programs and allocating health resources to communities most at need. Therefore, the objective of this study was to investigate geographic disparities and temporal changes of DRMR in Florida.

Methods

Retrospective mortality data for deaths that occurred from 2010 to 2019 were obtained from the Florida Department of Health. Tenth International Classification of Disease codes E10-E14 were used to identify diabetes-related deaths. County-level mortality risks were computed and presented as number of deaths per 100,000 persons. Spatial Empirical Bayesian (SEB) smoothing was performed to adjust for spatial autocorrelation and the small number problem. High-risk spatial clusters of DRMR were identified using Tango's flexible spatial scan statistics. Geographic distribution and high-risk mortality clusters were displayed using ArcGIS, whereas seasonal patterns were visually represented in Excel.

Results

A total of 54,684 deaths were reported during the study period. There was an increasing temporal trend as well as seasonal patterns in diabetes mortality risks with high risks occurring during the winter. The highest mortality risk (8.1 per 100,000 persons) was recorded during the winter of 2018, while the lowest (6.1 per 100,000 persons) was in the fall of 2010. County-level SEB smoothed mortality risks varied by geographic location, ranging from 12.6 to 81.1 deaths per 100,000 persons. Counties in the northern and central parts of the state tended to have high mortality risks, whereas southern counties consistently showed low mortality risks. Similar to the geographic distribution of DRMR, significant high-risk spatial clusters were also identified in the central and northern parts of Florida.

Conclusion

Geographic disparities of DRMR exist in Florida, with high-risk spatial clusters being observed in rural central and northern areas of the state. There is also evidence of both increasing temporal trends and Winter peaks of DRMR. These findings are helpful for guiding allocation of resources to control the disease, reduce disparities, and improve population health.

Social deprivation and diabetic kidney disease: A European view

There is a large body of literature demonstrating a social gradient in health and increasing evidence of an association between social deprivation and diabetes complications. Diabetic kidney disease (DKD) increases mortality in people with diabetes. Socioeconomic deprivation is increasingly recognized as a modifier of risk factors for kidney disease but also an independent risk factor itself for kidney disease. This may not be truly appreciated by clinicians and warrants further attention and exploration. In this review we explore the literature to date from Europe on the relationship between social deprivation and DKD. The majority of the studies showed at least an association with microalbuminuria, an early marker of DKD, while many showed an association with overt nephropathy. This was seen across many countries in Europe using a variety of different measures of deprivation. We reviewed and considered the mechanisms by which deprivation may lead to DKD. Health related behaviors such as smoking and suboptimal control of risk factors such as hypertension, hyperglycemia and elevated body mass index (BMI) accounts for some but not all of the association. Poorer access to healthcare, health literacy, and stress are also discussed as potential mediators of the association. Addressing deprivation is difficult but starting points include targeted interventions for people living in deprived circumstances, equitable roll out of diabetes technology, and flexible outpatient clinic arrangements including virtual and community-based care.

A review of air pollution as a driver of cardiovascular disease risk across the diabetes spectrum

The prevalence of diabetes is estimated to reach almost 630 million cases worldwide by the year 2045; of current and projected cases, over 90% are type 2 diabetes. Air pollution exposure has been implicated in the onset and progression of diabetes. Increased exposure to fine particulate matter air pollution (PM2.5) is associated with increases in blood glucose and glycated hemoglobin (HbA1c) across the glycemic spectrum, including normoglycemia, prediabetes, and all forms of diabetes. Air pollution exposure is a driver of cardiovascular disease onset and exacerbation and can increase cardiovascular risk among those with diabetes. In this review, we summarize the literature describing the relationships between air pollution exposure, diabetes and cardiovascular disease, highlighting how airborne pollutants can disrupt glucose homeostasis. We discuss how air pollution and diabetes, via shared mechanisms leading to endothelial dysfunction, drive increased cardiovascular disease risk. We identify portable air cleaners as potentially useful tools to prevent adverse cardiovascular outcomes due to air pollution exposure across the diabetes spectrum, while emphasizing the need for further study in this particular population. Given the enormity of the health and financial impacts of air pollution exposure on patients with diabetes, a greater understanding of the interventions to reduce cardiovascular risk in this population is needed.

Screening for social determinants of health among populations at risk for MASLD: a scoping review

Background

Social determinants of health (SDoH) have been associated with disparate outcomes among those with metabolic dysfunction-associated steatotic liver disease (MASLD) and its risk factors. To address SDoH among this population, real-time SDoH screening in clinical settings is required, yet optimal screening methods are unclear. We performed a scoping review to describe the current literature on SDoH screening conducted in the clinical setting among individuals with MASLD and MASLD risk factors.

Methods

Through a systematic literature search of MEDLINE, Embase, and CINAHL Complete databases through 7/2023, we identified studies with clinic-based SDoH screening among individuals with or at risk for MASLD that reported pertinent clinical outcomes including change in MASLD risk factors like diabetes and hypertension.

Results

Ten studies (8 manuscripts, 2 abstracts) met inclusion criteria involving 148,151 patients: 89,408 with diabetes and 25,539 with hypertension. Screening was primarily completed in primary care clinics, and a variety of screening tools were used. The most commonly collected SDoH were financial stability, healthcare access, food insecurity and transportation. Associations between clinical outcomes and SDoH varied; overall, higher SDoH burden was associated with poorer outcomes including elevated blood pressure and hemoglobin A1c.

Conclusion

Despite numerous epidemiologic studies showing associations between clinical outcomes and SDoH, and guidelines recommending SDoH screening, few studies describe in-clinic SDoH screening among individuals with MASLD risk factors and none among patients with MASLD. Future research should prioritize real-time, comprehensive assessments of SDoH, particularly among patients at risk for and with MASLD, to mitigate disease progression and reduce MASLD health disparities.

Social Determinants of Health Screening in Type 1 Diabetes Management

Type 1 diabetes management is intricately influenced by social determinants of health. Economic status impacts access to vital resources like insulin and diabetes technology. Racism, social injustice, and implicit biases affect equitable delivery of care. Education levels affect understanding of self-care, leading to disparities in glycemic outcomes. Geographic location can limit access to health care facilities. Stressors from discrimination or financial strain can disrupt disease management. Addressing these social factors is crucial for equitable diabetes care, emphasizing the need for comprehensive strategies that go beyond medical interventions to ensure optimal health outcomes for all individuals with type 1 diabetes.

An Effectiveness Study of a Primary Care-embedded Clinical Pharmacist-Led Intervention Among Patients With Diabetes and Medicaid Coverage

Objective: Examine the impact of a primary care-embedded clinical pharmacist-led intervention (UCMyRx) on hemoglobin A1C and blood pressure control, relative to usual care, among patients with Type 2 diabetes (TD2) and Medicaid, in a large healthcare system. Methods: We used data extracted from the Electronic Health Records system and a Difference-In-Differences study design with a 2:1 propensity-matched comparison group to evaluate the impact of UCMyRx on HbA1c and systolic blood pressure among patients with TD2 and Medicaid, relative to usual care. Results: Having at least one UCMyRx clinical pharmacist visit was associated with a significant reduction in HbA1c; (-.27%, P-value= .03) but no impact on SBP. We do not find differential UCMyRx effects on HbA1c or SBP among the subpopulations with baseline HbA1C ≥9% or SBP ≥150 mmHg, respectively. In Charlson Comorbidity Index (CCI)-stratified analyses we found stronger UCMyRx effects on HbA1C (-.47%, P-value< .02) among the CCI tercile with the lowest comorbidity score (CC1 ≤ 5). Significant UCMyRx effects are only observed among the subpopulation of Medicaid beneficiaries without Medicare (-.35%, P-value= .02). Conclusions: The UCMyRx intervention is a useful strategy for improving HbA1c control among patients with TD2 and Medicaid.

A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus

Background

As socioeconomic inequalities are key factors in access and utilization of type 2 diabetes (T2D) services, the purpose of this scoping review was to identify solutions for decreasing socioeconomic inequalities in T2D.

Methods

A scoping review of scientific articles from 2000 and later was conducted using PubMed, Web of Science (WOS), Scopus, Embase, and ProQuest databases. Using the Arksey and O'Malley framework for scoping review, articles were extracted, meticulously read, and thematically analyzed.

Results

A total of 7204 articles were identified from the reviewed databases. After removing duplicate and nonrelevant articles, 117 articles were finally included and analyzed. A number of solutions and passways were extracted from the final articles. Solutions for decreasing socioeconomic inequalities in T2D were categorized into 12 main solutions and 63 passways.

Conclusions

Applying identified solutions in diabetes policies and interventions would be recommended for decreasing socioeconomic inequalities in T2D. Also, the passways could be addressed as entry points to help better implementation of diabetic policies.

Unfavorable social determinants of health and risk of mortality in adults with diabetes: findings from the National Health Interview Survey

INTRODUCTION

Understanding the role of social determinants of health as predictors of mortality in adults with diabetes may help improve health outcomes in this high-risk population. Using population-based, nationally representative data, this study investigated the cumulative effect of unfavorable social determinants on all-cause mortality in adults with diabetes.

RESEARCH DESIGN AND METHODS

We used data from the 2013-2018 National Health Interview Survey, linked to the National Death Index through 2019, for mortality ascertainment. A total of 47 individual social determinants of health were used to categorize participants in quartiles denoting increasing levels of social disadvantage. Poisson regression was used to report age-adjusted mortality rates across increasing social burden. Multivariable Cox proportional hazards models were used to assess the association between cumulative social disadvantage and all-cause mortality in adults with diabetes, adjusting for traditional risk factors.

RESULTS

The final sample comprised 182 445 adults, of whom 20 079 had diabetes. In the diabetes population, mortality rate increased from 1052.7 per 100 000 person-years in the first quartile (Q1) to 2073.1 in the fourth quartile (Q4). In multivariable models, individuals in Q4 experienced up to twofold higher mortality risk relative to those in Q1. This effect was observed similarly across gender and racial/ethnic subgroups, although with a relatively stronger association for non-Hispanic white participants compared with non-Hispanic black and Hispanic subpopulations.

CONCLUSIONS

Cumulative social disadvantage in individuals with diabetes is associated with over twofold higher risk of mortality, independent of established risk factors. Our findings call for action to screen for unfavorable social determinants and design novel interventions to mitigate the risk of mortality in this high-risk population.

Associations between social determinants of health and diabetes self-care behaviors among insured adult patients

AIMS

This study explored the association between social determinants of health (SDOH) and diabetes care behaviors among individuals with health insurance.

METHODS

Data from 57,206 US residents, representing a population of over 25.58 million adults with health insurance and diagnosed diabetes, were included in this cross-sectional analysis of data from the 2017 Behavioral Risk Factor Surveillance System. Logistic regression models were constructed to evaluate the likelihood of various diabetes care behaviors given the presence of several SDOH (e.g., food insecurity, poverty, housing insecurity, rurality).

RESULTS

Most respondents exercised, ate vegetables, saw a provider for diabetes-related care in the last year, and reported checking their feet and testing their blood sugar daily. Not feeling safe (odds ratio (OR) 1.77, 95 % confidence interval (CI) 1.04, 3.01) was related to never checking blood sugar. Experiencing frequent stress was associated with a lower likelihood of exercise (OR .77, 95% CI 0.60, 0.999) and lower likelihood of checking blood sugar at least once a day (OR 0.73, 95% CI 0.54, 0.99). Food insecurity was associated with lower likelihood of vegetable consumption (OR 0.63, 95 % CI 0.47, 0.85) but a higher likelihood of checking blood sugar (OR 1.80, 95 % CI 1.26, 2.57). Low-income respondents were less likely to exercise (OR 0.72, 95 % CI 0.64, 0.80) or eat vegetables (OR 0.83, 95 % CI 0.75, 0.93) but more likely to check their feet (OR 1.19, 95 % CI 1.04, 1.35) and blood sugar at least once per day (OR 1.15, 95% CI 1.01, 1.31). Those who rent their home were also more likely to check their blood sugar (OR 1.22, 95% CI 1.07, 1.37) but less likely to have eaten vegetables in the last week (OR 0.87, 95% CI 0.78, 0.97). Respondents living in rural areas were more likely to have visited a provider in the last year (OR 1.21 95% CI 1.00, 1.47).

CONCLUSIONS

SDOH can adversely affect diabetes self-care behaviors, providers should assist vulnerable patients by connecting them with community resources and providing individualized care.

Prediabetes prevalence and awareness by race, ethnicity, and educational attainment among U.S. adults

Introduction

Racial and ethnic minority groups and individuals with limited educational attainment experience a disproportionate burden of diabetes. Prediabetes represents a high-risk state for developing type 2 diabetes, but most adults with prediabetes are unaware of having the condition. Uncovering whether racial, ethnic, or educational disparities also occur in the prediabetes stage could help inform strategies to support health equity in preventing type 2 diabetes and its complications. We examined the prevalence of prediabetes and prediabetes awareness, with corresponding prevalence ratios according to race, ethnicity, and educational attainment.

Methods

This study was a pooled cross-sectional analysis of the National Health and Nutrition Examination Survey data from 2011 to March 2020. The final sample comprised 10,262 U.S. adults who self-reported being Asian, Black, Hispanic, or White. Prediabetes was defined using hemoglobin A1c and fasting plasma glucose values. Those with prediabetes were classified as "aware" or "unaware" based on survey responses. We calculated prevalence ratios (PR) to assess the relationship between race, ethnicity, and educational attainment with prediabetes and prediabetes awareness, controlling for sociodemographic, health and healthcare-related, and clinical characteristics.

Results

In fully adjusted logistic regression models, Asian, Black, and Hispanic adults had a statistically significant higher risk of prediabetes than White adults (PR:1.26 [1.18,1.35], PR:1.17 [1.08,1.25], and PR:1.10 [1.02,1.19], respectively). Adults completing less than high school and high school had a significantly higher risk of prediabetes compared to those with a college degree (PR:1.14 [1.02,1.26] and PR:1.12 [1.01,1.23], respectively). We also found that Black and Hispanic adults had higher rates of prediabetes awareness in the fully adjusted model than White adults (PR:1.27 [1.07,1.50] and PR:1.33 [1.02,1.72], respectively). The rates of prediabetes awareness were consistently lower among those with less than a high school education relative to individuals who completed college (fully-adjusted model PR:0.66 [0.47,0.92]).

Discussion

Disparities in prediabetes among racial and ethnic minority groups and adults with low educational attainment suggest challenges and opportunities for promoting health equity in high-risk groups and expanding awareness of prediabetes in the United States.

Pharmacy and neighborhood-level variation in cash price of diabetes medications in the United States

BACKGROUND

Diabetes medications place significant financial burden on patients but less is known about factors affecting cost variation.

OBJECTIVE

To examine pharmacy and neighborhood factors associated with cost variation for diabetes drugs in the US.

RESEARCH DESIGN, SUBJECTS AND MEASURES

We used all-payer US pharmacy data from 45,874 chain and independent pharmacies reflecting 7,073,909 deidentified claims. We divided diabetes drugs into insulins, non-insulin generic medications, and brand name medications. Generalized linear models, stratified by pharmacy type, identified pharmacy and neighborhood factors associated with higher or lower cash price-per-unit (PPU) for each set of drugs.

RESULTS

Cash PPU was highest for brand name therapies ($149.4±203.2), followed by insulins ($42.4±25.0), and generic therapies ($1.3±4.4). Pharmacy-level price variation was greater for non-insulin generic therapies than insulins or brand name therapies. Chain pharmacies had both lower prices and lesser variation compared with independent pharmacies.

CONCLUSIONS

Cash prices for diabetes medications in the US can vary considerably and that the greatest degree of price variation occurs in non-insulin generic therapies.

Educational attainment affects the diagnostic time in type 2 diabetes mellitus and the mortality risk of those enrolled in the diabetes pay-for-performance program

Most patients are diagnosed as having diabetes only after experiencing diabetes complications. Educational attainment might have a positive relationship with diabetes prognosis. The diabetes pay-for-performance (P4P) program-providing comprehensive, continuous medical care-has improved diabetes prognosis in Taiwan. This retrospective cohort study investigated how educational attainment affects the presence of diabetes complications at diabetes diagnosis and mortality risk in patients with diabetes enrolled in the P4P program. From the National Health Insurance Research Database, we identified patients aged >45 years who had received a new diagnosis of type 2 diabetes during 2002-2015; they were followed up until the end of 2017. We next used logistic regression analysis to explore whether the patients with different educational attainments had varied diabetic complication risks at diabetes diagnosis. The Cox proportional hazard model was employed to examine the association of different educational attainments in people with diabetes with mortality risk after their enrollment in the P4P program. The results indicated that as educational attainment increased, the risk of diabetes complications at type 2 diabetes diagnosis decreased gradually. When type 2 diabetes with different educational attainments joined the P4P program, high school education had the highest effect on reducing mortality risk; however, those with ≤ 6th grade education had the lowest impact.

Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States

Background Social vulnerability impacts the natural history of diabetes as well as cardiovascular disease (CVD). However, there are little data regarding the social vulnerability association with diabetes-related CVD mortality. Methods and Results County-level mortality data (where CVD was the underlying cause of death with diabetes among the multiple causes) extracted from the Centers for Disease Control multiple cause of death (2015-2019) and the 2018 Social Vulnerability Index databases were aggregated into quartiles based on their Social Vulnerability Index ranking from the least (first quartile) to the most vulnerable (fourth quartile). Stratified by demographic groups, the data were analyzed for overall CVD, as well as for ischemic heart disease, hypertensive disease, heart failure, and cerebrovascular disease. In the 5-year study period, 387 139 crude diabetes-related cardiovascular mortality records were identified. The age-adjusted mortality rate for CVD was higher in the fourth quartile compared with the first quartile (relative risk [RR], 1.66 [95% CI, 1.64-1.67]) with an estimated 39 328 excess deaths. Among the youngest age group (<55 years), those with the highest social vulnerability had 2 to 4 times the rate of cardiovascular mortality compared with the first quartile: ischemic heart disease (RR, 2.07 [95% CI, 1.97-2.17]; heart failure (RR, 3.03 [95% CI, 2.62-3.52]); hypertensive disease (RR, 3.79 [95% CI, 3.45-4.17]; and cerebrovascular disease (RR, 4.39 [95% CI, 3.75-5.13]). Conclusions Counties with greater social vulnerability had higher diabetes-related CVD mortality, especially among younger adults. Targeted health policies that are designed to reduce these disparities are warranted.

Diabetes Pay-for-Performance Program Participation and Dialysis Risk in Relation to Educational Attainment: A Retrospective Cohort Study

Pay-for-performance (P4P) programs for diabetes care enable the provision of comprehensive and continuous health care to diabetic patients. However, patient outcomes may be affected by the patient's educational attainment. The present retrospective cohort study aimed to examine the effects of the educational attainment of diabetic patients on participation in a P4P program in Taiwan and the risk of dialysis. The data were obtained from the National Health Insurance Research Database of Taiwan. Patients newly diagnosed with type 2 diabetes mellitus (T2DM) aged 45 years from 2002 to 2015 were enrolled and observed until the end of 2017. The effects of their educational attainment on their participation in a P4P program were examined using the Cox proportional hazards model, while the impact on their risk for dialysis was investigated using the Cox proportional hazards model. The probability of participation in the P4P program was significantly higher in subjects with a junior high school education or above than in those who were illiterate or had only attained an elementary school education. Subjects with higher educational attainment exhibited a lower risk for dialysis. Different educational levels had similar effects on reducing dialysis risk among diabetic participants in the P4P program.

Socioeconomic aspects of incretin-based therapy

Incretin-based therapies, particularly glucagon-like peptide-1 receptor agonists (GLP-1 RAs), have demonstrated cardiovascular benefits in people with type 2 diabetes. However, socioeconomic disparities in their uptake may constrain the collective advantages offered by these medications to the broader population. In this review we examine the socioeconomic disparities in the utilisation of incretin-based therapies and discuss strategies to address these inequalities. Based on real-world evidence, the uptake of GLP-1 RAs is reduced in people who live in socioeconomically disadvantaged areas, have low income and education level, or belong to racial/ethnic minorities, even though these individuals have a greater burden of type 2 diabetes and cardiovascular disease. Contributing factors include suboptimal health insurance coverage, limited accessibility to incretin-based therapies, financial constraints, low health literacy and physician-patient barriers such as provider bias. Advocating for a reduction in the price of GLP-1 RAs is a pivotal initial step to enhance their affordability among lower socioeconomic groups and improve their value-for-money from a societal perspective. By implementing cost-effective strategies, healthcare systems can amplify the societal benefits of incretin-based therapies, alongside measures that include maximising treatment benefits in specific subpopulations while minimising harms in vulnerable individuals, increasing accessibility, enhancing health literacy and overcoming physician-patient barriers. A collaborative approach between governments, pharmaceutical companies, healthcare providers and people with diabetes is necessary for the effective implementation of these strategies to enhance the overall societal benefits of incretin-based therapies.

Trends and Predictors of Glycemic Control Among Adults With Type 2 Diabetes Covered by Alabama Medicaid, 2011-2019

INTRODUCTION

Despite advances in diabetes management, only one-quarter of people with diabetes in the US achieve optimal targets for glycated hemoglobin A1c (HbA1c), blood pressure, and cholesterol. We sought to evaluate temporal trends and predictors of achieving glycemic control among adults with type 2 diabetes covered by Alabama Medicaid from 2011 through 2019.

METHODS

We completed a retrospective analysis of Medicaid claims and laboratory data, using person-years as the unit of analysis. Inclusion criteria were being aged 19 to 64 years, having a diabetes diagnosis, being continuously enrolled in Medicaid for a calendar year and preceding 12 months, and having at least 1 HbA1c result during the study year. Primary outcomes were HbA1c thresholds of <7% and <8%. Primary exposure was study year. We conducted separate multivariable-adjusted logistic regressions to evaluate relationships between study year and HbA1c thresholds.

RESULTS

We included 43,997 person-year observations. Mean (SD) age was 51.0 (9.9) years; 69.4% were women; 48.1% were Black, 42.9% White, and 0.4% Hispanic. Overall, 49.1% had an HbA1c level of <7% and 64.6% <8%. Later study years and poverty-based eligibility were associated with lower probability of reaching target HbA1c levels of <7% or <8%. Sex, race, ethnicity, and geography were not associated with likelihood of reaching HbA1c <7% or <8% in any model.

CONCLUSION

Later study years were associated with lower likelihood of meeting target HbA1c levels compared with 2011, after adjusting for covariates. With approximately 35% not meeting an HbA1c target of <8%, more work is needed to improve outcomes of low-income adults with type 2 diabetes.

Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study

BACKGRUOUND

We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).

METHODS

Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1-4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.

RESULTS

During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1-4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.

CONCLUSION

Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.

Multimorbidity at time of death among persons with type 2 diabetes: a population-based study in Ontario, Canada

OBJECTIVE

Individuals with Type 2 Diabetes are likely to experience multimorbidity and accumulate multiple chronic conditions over their life. We aimed to identify causes of death and chronic conditions at the time of death in a population-based cohort, and to analyze variations in the presence of diabetes at the time of death overall and across income and immigrant status.

RESEARCH DESIGN AND METHODS

We conducted a retrospective cohort study of 2,199,801 adult deaths from 1992 to 2017 in Ontario, Canada. We calculated the proportion of decedents with chronic conditions at time of death and causes of death. The risk of diabetes at the time of death was modeled across sociodemographic variables with a log binomial regression adjusting for sex, age, immigrant status, area-level income. comorbiditiesand time.

RESULTS

The leading causes of death in the cohort were cardiovascular and cancer. Decedents with diabetes had a higher prevalence of most chronic conditions than decedents without diabetes, including hypertension, osteo and other arthritis, chronic coronary syndrome, mood disorder, and congestive heart failure. The risk of diabetes at the time of death was 19% higher in immigrants (95%CI 1.18-1.20) and 15% higher in refugees (95%CI 1.12-1.18) compared to long-term residents, and 19% higher in the lowest income quintile (95%CI 1.18-1.20) relative to the highest income quintile, after adjusting for other covariates.

CONCLUSIONS

Individuals with diabetes have a greater multimorbidity burden at the time of death, underscoring the importance of multiple chronic disease management among those living with diabetes and further considerations of the social determinants of health.

Variations in all-cause mortality, premature mortality and cause-specific mortality among persons with diabetes in Ontario, Canada

INTRODUCTION

Patients with diabetes have a higher risk of mortality compared with the general population. Large population-based studies that quantify variations in mortality risk for patients with diabetes among subgroups in the population are lacking. This study aimed to examine the sociodemographic differences in the risk of all-cause mortality, premature mortality, and cause-specific mortality in persons diagnosed with diabetes.

RESEARCH DESIGN AND METHODS

We conducted a population-based cohort study of 1 741 098 adults diagnosed with diabetes between 1994 and 2017 in Ontario, Canada using linked population files, Canadian census, health administrative and death registry databases. We analyzed the association between sociodemographics and other covariates on all-cause mortality and premature mortality using Cox proportional hazards models. A competing risk analysis using Fine-Gray subdistribution hazards models was used to analyze cardiovascular and circular mortality, cancer mortality, respiratory mortality, and mortality from external causes of injury and poisoning.

RESULTS

After full adjustment, individuals with diabetes who lived in the lowest income neighborhoods had a 26% (HR 1.26, 95% CI 1.25 to 1.27) increased hazard of all-cause mortality and 44% (HR 1.44, 95% CI 1.42 to 1.46) increased risk of premature mortality, compared with individuals with diabetes living in the highest income neighborhoods. In fully adjusted models, immigrants with diabetes had reduced risk of all-cause mortality (HR 0.46, 95% CI 0.46 to 0.47) and premature mortality (HR 0.40, 95% CI 0.40 to 0.41), compared with long-term residents with diabetes. Similar HRs associated with income and immigrant status were observed for cause-specific mortality, except for cancer mortality, where we observed attenuation in the income gradient among persons with diabetes.

CONCLUSIONS

The observed mortality variations suggest a need to address inequality gaps in diabetes care for persons with diabetes living in the lowest income areas.

Frequent Monitoring of Blood Glucose Levels via a Remote Patient Monitoring System Helps Improve Glycemic Control

OBJECTIVE

This study aims to evaluate the effectiveness of the Vivovitals diabetes platform on improving glycemic control and reducing A1C in patients with uncontrolled type II diabetes mellitus by providing more accessible and direct patient care under the monitoring and oversight of their physician.

METHODS

This 12-week, prospective, pragmatic, single-center, double-arm study assessed the impact of the Vivovitals diabetes platform on glycemic control among 78 adults ≥ 18 years of age, with A1C ≥ 7.5% (58 mmol/mol) at baseline. The participants were randomized into two groups. The control group received usual clinic care, while the intervention group was provided with a smartphone linked telehealth application, a pre-configured glucometer, and access to the glycemic readings diary. Blood glucose levels of the intervention group were transmitted to the providers daily. Patients whose blood glucose levels were <70 mg/dL or >180mg/dL were contacted, and modifications were made to diet and medication. The two groups were compared at baseline and 12 weeks using nonparametric tests with p<0.05 considered statistically significant.

RESULTS

Over 12 weeks, the average A1C in the control group reduced by 0.474% (p=0.533; 95% CI: -0.425, -0.523) whereas the average A1C in the intervention group reduced 1.70% (p=0.002; 95% CI: -1.02, -2.39). The estimated treatment difference was expressed via Cohen's d which yielded 0.62. After 12 weeks, A1C values between the control and intervention groups were statistically significant (p = 0.001).

CONCLUSION

Use of the Vivovitals platform may help to improve glycemic control among individuals with type 2 diabetes mellitus.

Adolescents with Type 2 Diabetes: Overcoming Barriers to Effective Weight Management

The prevalence of type 2 diabetes (T2DM) among children and adolescents has remarkably increased in the last two decades, particularly among ethnic minorities. Management of T2DM is challenging in the adolescent population due to a constellation of factors, including biological, socioeconomic, cultural, and psychological barriers. Weight reduction is an essential component in management of T2DM as weight loss is associated with improvement in insulin sensitivity and glycemic status. A family centered and culturally appropriate approach offered by a multidisciplinary team is crucial to address the biological, psychosocial, cultural, and financial barriers to weight management in youth with T2DM. Lifestyle interventions and pharmacotherapy have shown modest efficacy in achieving weight reduction in adolescents with T2DM. Bariatric surgery is associated with excellent weight reduction and remission of T2DM in youth. Emerging therapies for weight reduction in youth include digital technologies, newer GLP-1 agonists and endoscopic procedures.

Evaluation of an Integrated Intervention to Address Clinical Care and Social Needs Among Patients with Type 2 Diabetes

BACKGROUND

The Providence Diabetes Collective Impact Initiative (DCII) was designed to address the clinical challenges of type 2 diabetes and the social determinants of health (SDoH) challenges that exacerbate disease impact.

OBJECTIVE

We assessed the impact of the DCII, a multifaceted intervention approach to diabetes treatment that employed both clinical and SDoH strategies, on access to medical and social services.

DESIGN

The evaluation employed a cohort design and used an adjusted difference-in-difference model to compare treatment and control groups.

PARTICIPANTS

Our study population consisted of 1220 people (740 treatment, 480 control), aged 18-65 years old with a pre-existing type 2 diabetes diagnosis who visited one of the seven Providence clinics (three treatment and four control) in the tri-county area of Portland, Oregon, between August 2019 and November 2020.

INTERVENTIONS

The DCII threaded together clinical approaches such as outreach, standardized protocols, and diabetes self-management education and SDoH strategies including social needs screening, referral to a community resource desk, and social needs support (e.g., transportation) to create a comprehensive, multi-sector intervention.

MAIN MEASURES

Outcome measures included SDoH screens, diabetes education participation, HbA1c, blood pressure, and virtual and in-person primary care utilization, as well as inpatient and emergency department hospitalization.

KEY RESULTS

Compared to patients at the control clinics, patients at DCII clinics saw an increase in diabetes education (15.5%, p<0.001), were modestly more likely to receive SDoH screening (4.4%, p<0.087), and had an increase in the average number of virtual primary care visits of 0.35 per member, per year (p<0.001). No differences in HbA1c, blood pressure, or hospitalization were observed.

CONCLUSIONS

DCII participation was associated with improvements in diabetes education use, SDoH screening, and some measures of care utilization.

Risk, lifestyle and non-communicable diseases of poverty

Common discourse in public health and preventive medicine frames non-communicable diseases, including cardiovascular and metabolic diseases, as diseases of 'lifestyle'; the choice of terminology implies that their prevention, control and management are amenable to individual action. In drawing attention to global increases in the incidence and prevalence of non-communicable disease, however, we increasingly observe that these are non-communicable diseases of poverty. In this article, we call for the reframing of discourse to emphasize the underlying social and commercial determinants of health, including poverty and the manipulation of food markets. We demonstrate this by analysing trends in disease, which indicate that diabetes- and cardiovascular-related DALYS and deaths are increasing particularly in countries categorized as low-middle to middle levels of development. In contrast, countries with very low levels of development contribute least to diabetes and document low levels of CVDs. Although this might suggest that NCDs track increased national wealth, the metrics obscure the ways in which the populations most affected by these diseases are among the poorest in many countries, and hence, disease incidence is a marker of poverty not wealth. We also illustrate variations in five countries - Mexico, Brazil, South Africa, India and Nigeria - by gender, and argue that these differences are associated with gender norms that vary by context rather than sex-specific biological pathways.We tie these trends to shifts in food consumption from whole foods to ultra-processed foods, under colonialism and with continued globalization. Industrialization and the manipulation of global food markets influence food choice in the context of limited household income, time, and household and community resources. Other factors that constitute risk factors for NCDs are likewise constrained by low household income and the poverty of the environment for people with low income, including the capacity of individuals in sedentary occupations to engage in physical activity. These contextual factors highlight extremely limited personal power over diet and exercise. In acknowledging the importance of poverty in shaping diet and activity, we argue the merit in using the term non-communicable diseases of poverty and the acronym NCDP. In doing so, we call for greater attention and interventions to address structural determinants of NCDs.

Analysis of Cause-of-Death Mortality in Children and Young Adults with Diabetes: A Nationwide 10-Year Follow-Up Cohort Study

We examined the associations of clinical characteristics and cause-of-death patterns with mortality in children and young adults (<30 years) with diabetes. We analyzed a nationwide cohort sample from the KNHIS database using propensity score matching from a sample of 1 million people from 2002 to 2013. There were 10,006 individuals in the diabetes mellitus (DM) group and 10,006 in the control (no DM) group. The numbers of deaths were 77 in the DM group and 20 in the control group. The deaths of patients in the DM Group were 3.74 (95% confidence interval (CI) = 2.25-6.21) times higher than in the control group. Type 1 DM, type 2 DM and unspecified DM were 4.52 (95% CI = 1.89-10.82) times, 3.25 (95% CI = 1.95-5.43) times and 10.20 (95% CI = 5.24-20.18) times higher, respectively. Mental disorders were 2.08 times higher in the risk of death (95% CI = 1.27-3.40). Mortality rates have increased in children and young adults with diabetes alone. Therefore, in the future, it is necessary to identify the cause of the increased mortality rate among young diabetic people and select vulnerable groups among them so that early prevention can be achieved.

Behavioral and Metabolic Risk Factors for Noncommunicable Diseases among Population in the Republic of Srpska (Bosnia and Herzegovina)

Noncommunicable diseases (NCDs) are the major cause of death worldwide, and they are attributable to genetic and physiological determinants, behavioral risk factors and environmental impacts. The aim of this study is to assess behavioral risk factors for metabolic disease using demographic and social-economic aspects of the population characterized by risk factors, and to investigate relations among lifestyle risk factors (alcohol consumption, tobacco use, physical inactivity, intake of vitamins, fruits and vegetables) that are responsible for the majority of NCD deaths in the Republic of Srpska's (RS's) population. This is a cross-sectional study based on the analysis of a survey conducted among 2311 adult (≥18 years) persons (54.0% women, and 46.0% men). The statistical analysis was carried out by using Cramer's V values, clustering, logistic regression (binomial, multinomial and ordinal), a chi-square test and odds ratios. In the case of logistic regression, we provide the prediction accuracy in percentages. A significant statistical correlation between demographic characteristics (gender and age) and risk factors was observed. The highest difference according to gender was observed in alcohol consumption (odds ratio (OR) = 2.705, confidence interval (95% CI) = 2.206-3.317), particularly in frequent consumption (OR = 3.164, 95% CI = 2.664-3.758). The highest prevalence of high blood pressure was registered in the elderly (66.5%); the same holds for hypertension (44.3%). Additionally, physical inactivity was one of the most common risk factors (33.4% physically inactive respondents). A significant presence of risk factors was confirmed among the RS population, with higher involvement of metabolic risk factors among the older population, while the prevalence of behavioral factors was related to younger age groups, particularly in the case of alcohol consumption and smoking. A low level of preventive awareness was observed among the younger population. Therefore, prevention is one of the most important instruments related to decreasing NCD risk factors in the RS population.

Adherence to the Taiwan Daily Food Guide and the Risk of Type 2 Diabetes: A Populational Study in Taiwan

This study aims to examine whether adherence to the Taiwan Daily Food Guide relates to the risk of type 2 diabetes. A population-based study was conducted using data from the Nutrition and Health Survey in Taiwan (NAHSIT) 2013-2016. Dietary intakes were assessed using a validated food-frequency questionnaire. Type 2 diabetes was defined as a fasting serum HbA1c level of 6.5% or higher or participants who have received treatment for type 2 diabetes or have reported a physician diagnosis of type 2 diabetes. A total of 2534 Taiwanese adults aged 19 and above were included. We found that the Daily Food Guide adherence was negatively associated with the prevalence of type 2 diabetes. The odds ratios (ORs) for those in the fourth quartile of the recommended total servings was 0.67 (95% confidence interval (CI) = 0.45-0.99) compared with those in the first quartile. In addition, those who were men (OR = 1.46, 95% CI = 1.07-1.98), aged more than 50 to 65 (OR = 6.48, 95% CI = 2.57-16.35), or more than 65 (OR = 6.81, 95% CI = 2.56-18.08), with body mass index (BMI) of 24 to less than 27 (OR = 2.08, 95% CI = 1.55-2.79), had BMI of more than 27 (OR = 3.63, 95% CI = 2.73-4.83), had an education level of junior high and high school (OR = 1.68, 95% CI = 1.03-2.74), were divorced, separated, widowed, or refused to answer (OR = 1.39, 95% CI = 1.03-1.88) were associated with an increased prevalence of type 2 diabetes. In conclusion, people who adhere better to the Taiwan Daily Food Guide were found to have a reduced risk of type 2 diabetes.

Trends in Use of High-Cost Antihyperglycemic Drugs Among US Adults with Type 2 Diabetes

BACKGROUND

Some antihyperglycemic drugs can reduce cardiovascular events, slow the progression of kidney disease, and prevent death, but they are more expensive than older drugs.

OBJECTIVES

(1) To estimate trends in use of antihyperglycemic drugs by cost; (2) to examine use of high-cost drugs by race/ethnicity, income, and insurance status DESIGN: Cross-sectional analysis of the 2003-2018 National Health and Nutrition Examination Survey PARTICIPANTS: US adults ≥18 years with type 2 diabetes EXPOSURES: Race/ethnicity, income, and insurance status MAIN MEASURES: Low-cost noninsulin medications included any drugs that had at least one generic version approved by the Food and Drug Administration. Human regular, NPH, and premixed NPH/regular 70/30 insulins were classified as low-cost. All other noninsulin medications and insulins were considered high-cost KEY RESULTS: The sample included 7,394 patients. Prevalence of use of low-cost noninsulin drugs increased from 37% in 2003-2004 to 52% in 2017-2018. Use of high-cost noninsulin drugs decreased from 2003-2004 to 2013-2014 and then slowly increased. Use of low-cost insulin decreased from 7 to 2% while high-cost insulin rose from 4 to 16%. In multivariable analysis, non-White patients had 25-35% lower odds of receiving high-cost drugs than non-Hispanic Whites. Health insurance was associated with more than twice the odds of having high-cost drugs compared to no insurance. Patients with higher HbA1c or moderate obesity were also more likely to use high-cost drugs. Sex, income, and insurance type were not associated with receipt of high-cost drugs.

CONCLUSIONS

There was a shift in utilization from high- to low-cost noninsulin drugs, but since 2013-2014 the trend has slowly reversed with increased use of newer, more expensive drug classes. High-cost insulin analogs have almost completely replaced lower cost human insulins. Disparities in receipt of diabetes drugs by race/ethnicity and insurance must be addressed to ensure that cost is not a barrier for disadvantaged populations.

Prevalence and factors associated with diagnosed diabetes mellitus among Asian Indian adults in the United States

Higher prevalence of diabetes mellitus (DM) has been documented among South Asians living in the United States. However, combining the south Asian subgroups into one category masks the heterogeneity in the diagnosed DM, after controlling for known protective and risk factors. We assessed the association of Asian Indian ethnicity to diagnosed DM using a nationally representative sample of 1,986 Asian Indian adults in the US compared to 109,072 Non-Hispanic Whites (NHWs) using disaggregated data from the National Health Interview Survey (2012-2016) (NHIS). 2010 US census figures were used for age-sex standardization. Age-sex adjusted prevalence of DM was 8.3% in Asian Indians as compared to 5.8% in NHW. In adjusted multivariable logistic regression models, Asian Indians had higher odds ratios of reporting diagnosed DM compared to NHWs (AOR = 1.39, 95% CI: 1.12, 1.71). This association remained strong and significant even after controlling for other risk factors in the model (AOR = 1.47, 95% CI: 1.16, 1.85). Results suggest a favorable socio-economic profile of Asian Indians was not protective on diagnosed DM. In addition, they were more likely to have diagnosed DM due to higher prevalence of obesity despite healthier behaviors of smoking and exercise.

The "Ups and Downs" of Living With Type 2 Diabetes Among Working Adults in the Rural South

The purpose of this qualitative study was to gain a better understanding of the spheres of influence on engagement in recommended diabetes preventive health services among rural, working adults. Additionally, this study sought to understand the unique factors that influence diabetes self-management among rural, working adult populations. The sample included mostly African-American, low-income females with self-reported diabetes, who scored low on the Patient Activation Measure (PAM-10). Semi-structured interviews (N = 20) revealed that most participants struggled with the "ups and downs" of living with diabetes. Four major themes emerged from the data: "the struggle," "doing things together," "diabetes is not the priority," and "we're lucky to have what we have." Most participants were developing individual responsibility and motivation for a healthy future, but were overwhelmed by inconsistency in self-management, diabetes distress, lack of effective coping strategies, and lack of social and economic capital. The findings of this study indicate the need to further address psychological well-being among rural, working adults, yet rural populations often lack sufficient access to mental health care and formalized psychological support. Psychological support and resources are essential to facilitate engagement in diabetes self-management and preventive health services for rural, working adults.

Survey Reveals Patient and Health Care Provider Experiences and Challenges With the Use of High Doses of Basal Insulin

Type 2 diabetes is a chronic, progressive disease, and its management results in a high emotional burden on patients. Eventually many patients require and can benefit from the use of insulin. This article reports results of a survey of patients and health care providers regarding their experiences of and challenges with the use of basal insulin. Health care providers can play a key role in helping people with type 2 diabetes overcome the challenges associated with the use of basal insulin, including connecting with their emotional needs and understanding the stressors associated with managing diabetes.

The diabetes health plan and medication adherence among individuals with low incomes

OBJECTIVE

To test the impact of the Diabetes Health Plan (DHP), a diabetes-specific insurance plan that lowers out-of-pocket costs for diabetes-related medications and clinical visits, on adherence to oral hypoglycemic medications among low-income adults with Type 2 Diabetes (T2DM).

DATA SOURCES AND STUDY SETTING

Cohort of adults (18-64) with T2DM, an annual household income

STUDY DESIGN

We employed a linear regression Difference-In-Differences (DID) approach with a matched comparison group. To assess for differential DHP effects across adherent versus non-adherent patients, we ran a Difference-in-Difference-in-Differences (DDD) analysis by including an interaction term that included indicators for DHP exposure status and time, and low versus high baseline medication adherence.

DATA COLLECTION

The analytic data set is limited to employer groups that purchased the DHP and standard benefit plans from UnitedHealthcare, had internal pharmacy contracts; complete pharmacy claims data, and sufficient medical claims and lab data to identify employees and their dependents with T2DM.

PRINCIPAL FINDINGS

Our DID analysis did not show improved medication adherence associated with employer DHP adoption. However, the DDD model suggested a difference between DHP-exposed and comparison beneficiaries when comparing the relative effect on individuals who were adherent versus non-adherent at baseline, as suggested by the significant three-way interaction term (10.2,p = 0.028). This effect was driven by the 8.2 percentage point increase in medication adherence for the DHP subsample that was non-adherent at baseline.

CONCLUSIONS

The DHP may benefit low-income patients with low baseline medication adherence. Value-based insurance design may be an important strategy for mitigating income disparities in T2DM outcomes.

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Key Words

• diabetes
• health disparities
• health equity
• low-income
• medication non-adherence
• value based insurance design

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MESH Headings

• Adult
• Humans
• Diabetes Mellitus, Type 2/drug therapy
• Hypoglycemic Agents/therapeutic use
• Medication Adherence
• Pharmaceutical Services
• Cohort Studies
• Retrospective Studies

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Grants

• P30 AG021684 NIA NIH HHS
• U58 DP002722 NCCDPHP CDC HHS
• K08 AG068372 NIA NIH HHS
• U18 DP006128 NCCDPHP CDC HHS
• Centers for Disease Control and Prevention
• National Institute on Aging

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Affiliation(s)

Kimberly Danae Cauley Narain Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA Center for Health AdvancementFielding School of Public Health, University of California Los AngelesLos AngelesCaliforniaUSA Center for the Study of RacismSocial Justice, and Health Los AngelesLos AngelesCaliforniaUSA
Norman Turk Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
O. Kenrik Duru Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
Tannaz Moin Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA HSR&D Center for the Study of Healthcare Innovation, Implementation & PolicyVA Greater Los Angeles Healthcare SystemLos AngelesCaliforniaUSA
Sam Ho UnitedHealthcareMinnetonkaMinnesotaUSA
Carol M. Mangione Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA Fielding School of Public HealthUniversity of CaliforniaLos AngelesCaliforniaUSA

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Social vulnerability, medical care access and asthma related emergency department visits and hospitalization: An observational study

BACKGROUND

The Social Vulnerability Index (SVI) is a publicly available dataset to identify communities in greatest need of resources.

OBJECTIVE

To examine the utility of using the county-level SVI as predictors of asthma-related outcomes.

METHODS

We used the American Community Survey-derived SVI and the National Environmental Public Health Tracking Network - Query Tool to retrieve data for all counties with available SVI data and at least one matched outcome of interest. Then, we tested SVI as a predictor for emergency department visits (EDV) and hospitalizations, with investigating disparities in primary care physician (PCP) density and emergency department physicians (EDP) density. Linear and logistic regression models were used.

RESULTS

Compared to counties of the lowest SVI quartile, counties of mid-low, mid-high, and highest SVI quartiles had 1%, 4%, and 5% higher odds of asthma-related EDV per 10,000 population, respectively, and 4%, 21%, and 24% higher odds of asthma-related hospitalization per 10,000 population, respectively. Moreover, the data showed an apparent resources mismatch between the EDP densities per 10,000 populations and the SVI quartiles, and the effect of the county level SVI on the asthma-related EDV and hospitalization is not strongly affected by PCP or EDP densities.

CONCLUSION

The counties with the highest SVI -and the most vulnerable to asthma hazards- have a lower coverage of PCP and EDP. Interventions directed to address persistent social vulnerability would offer the opportunity of primary prevention with less exhaustion for the medical resources.

Childhood exposure to war and adult onset of cardiometabolic disorders among older Europeans

Childhood exposure to contexts of war is a common occurrence among current and recent cohorts of children in various parts of the world. It was also common among older cohorts across Europe. Utilizing the Survey of Health, Ageing, and Retirement in Europe (SHARE) the present study links early life course residential histories with detailed information on the timing and location of hostilities during WWII to address three questions: 1) is childhood exposure to war associated with earlier onset of cardiometabolic disease (cardiovascular disease, hypertension, high cholesterol, and diabetes)? 2) did this additional risk vary depending on the timing of first exposure? 3) did this additional risk manifest via different life course pathways depending on exposure timing? Results demonstrate that exposure to war is associated with increased lifetime risk of cardiovascular disease, diabetes, high cholesterol, and hypertension and that this association is strongly concentrated among cohorts exposed in utero or during early childhood (e.g., before age 8). The results also suggest that the impact of war exposure on cardiometabolic disorders are likely to be direct, operating through latent biological processes rather than through childhood hardship, stunting of adult socioeconomic attainment, or elevated risk-taking behaviors.

Community Health Workers as Trust Builders and Healers: A Cohort Study in Primary Care

PURPOSE

Improving patients' self-care for chronic disease is often elusive in the context of social deprivation. We evaluated whether a practice-integrated community health worker (CHW) intervention could encourage effective long-term self-management of type 2 diabetes mellitus (T2DM).

METHODS

This cohort study, in a safety-net primary care practice, enrolled patients with uncontrolled T2DM and psychosocial risk factors. Patients were identified through a practice diabetes registry or by clinicians' referrals. The CHWs engaged patients in trust building and sensemaking to understand their social context, identify goals, navigate health care, and connect to community resources. Primary outcome was progress through 3 prospectively defined stages of self-care: outreach (meeting face-to-face); stabilization (collaborating to address patients' life circumstances); and self-care generativity (achieving self-care competencies). Secondary outcomes were change in hemoglobin A1c (HbA1c) and need for urgent care, emergency department, or hospital visits.

RESULTS

Of 986 participating patients, 27% remained in outreach, 41% progressed to stabilization, and 33% achieved self-care generativity. Repeated measures ANOVA demonstrates an overall decline in HbA1c, without group differences, through the 4th HbA1c measurement (mean follow-up 703 days). Beginning at the 5th HbA1c measurement (mean 859 days), the self-care generativity group achieved greater declines in HbA1c, which widened through the 10th measurement (mean 1,365 days) to an average of 8.5% compared with an average of 8.8% in the outreach group and 9.0% in the stabilization group (P = .003). Rates of emergency department and hospital visits were lower in the self-care generativity group.

CONCLUSIONS

Practice-linked CHWs can sustainably engage vulnerable patients, helping them advance self-management goals in the context of formidable social disadvantage.

Does the diabetes health plan have a differential impact on medication adherence among beneficiaries with fewer financial resources?

BACKGROUND: The Diabetes Health Plan (DHP), a value-based insurance plan that reduces cost sharing, was previously shown to modestly increase employer-level medication adherence. It is unclear how the DHP might impact individuals with different incomes. OBJECTIVE: To examine the impact of the DHP on individual-level medication adherence, by income level. METHODS: This is a retrospective, quasiexperimental study. An employer-level propensity score match was done to identify suitable control employers, followed by individual-level propensity score weighing. These weights were applied to difference-in-difference models examining the effect of the DHP and the effect of income on changes in adherence to metformin, statins, and angiotensin-converting enzymes/angiotensin receptor blockers. The weights were then applied to a differences-in-differences-in-differences model to estimate the differential impact of DHP status on changes in adherence by income group. RESULTS: The study population included 2,065 beneficiaries with DHP and 17,704 matched controls. There were no significant differences in changes to adherence for any medications between beneficiaries enrolled in the DHP vs standard plans. However, adherence to all medications was higher among those with incomes greater than $75,000 (year 1: metformin: +7.3 percentage points; statin +4.3 percentage points; angiotensin-converting enzymes/angiotensin receptor blockers: +6.2 percentage points; P < 0.01) compared with those with incomes less than $50,000. The differences-in-differences-in-differences term examining the impact of income on the DHP effect was not significant for any comparisons. CONCLUSIONS: We did not find significant associations between the DHP and changes in individual-level medication adherence, even for low-income beneficiaries. New strategies to improve consumer engagement may be needed to translate value-based insurance designs into changes in patient behavior. DISCLOSURES: Drs Ettner and Moin received grants from the Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases (Principal Investigator: Carol Mangione). Mr Luchs received support for attending meetings and/or travel (minimal-mileage and hotel on 2 occasions). Mr Chan has an employee benefit to purchase stock for UnitedHealth Group.

Diabetes among adults in Bangladesh: changes in prevalence and risk factors between two cross-sectional surveys

Objective/research question

To investigate the change in the prevalence and risk factors of diabetes among adults in Bangladesh between 2011 and 2018.

Design

The study used two waves of nationally representative cross-sectional data extracted from the Bangladesh Demographic and Health Surveys in 2011 and 2017–2018.

Setting

Bangladesh.

Participants

14 376 adults aged ≥35 years.

Primary outcome

Diabetes mellitus (type 2 diabetes).

Results

From 2011 to 2018, the diabetes prevalence among adults aged ≥35 years increased from 10.95% (880) to 13.75% (922) (p<0.001), with the largest-relative increase (90%) among obese individuals. Multivariable logistic regression analysis identified age and body mass index (BMI) were the key risk factors for diabetes. Adults who were overweight or obese were 1.54 times (adjusted OR (AOR): 1.54, 95% CI: 1.20 to 1.97) more likely to develop diabetes than normal-weight individuals in 2011, and 1.22 times (AOR: 1.22, 95% CI: 1.00 to 1.50) and 1.44 times (AOR: 1.44, 95% CI: 1.13 to 1.84) more prone to develop diabetes in 2018. Other significant risk factors for diabetes were marital status, education, geographical region, wealth index and hypertension status in both survey years.

Conclusion

A high prevalence of diabetes was observed and it has been steadily increasing over time. To enhance diabetes detection and prevention among adults in Bangladesh, population-level interventions focusing on health education, including a healthy diet and lifestyle, are required.

The Diabetes Prevention Gap And Opportunities To Increase Participation In Effective Interventions

To understand the current state of prediabetes burden and treatment in the US, we examined recent trends in prediabetes prevalence, testing, and access to preventive resources. We estimated 13.5 percent prevalence of diagnosed prediabetes in the overall US adult population, using national survey data. Although prediabetes prevalence increased by 4.8 percentage points from 2010 to 2020, access to preventive resources remained low. The most effective intervention for diabetes prevention, known as the National Diabetes Prevention Program, remained woefully undersupplied and underused. There are only 2,098 National Diabetes Prevention Program-recognized providers nationally, and only 3 percent of adults with prediabetes have participated in the program. We suggest three actions to augment prevention efforts: increase payment for prevention interventions to avoid supply distortions, improve data integration and patient follow-up, and extend coverage and broaden access for preventive interventions. These actions, which would require policy-level changes, could lower the barriers to prevention.

Social Determinants of Health and Diabetes-Related Distress in Patients with Insulin-Dependent Type 2 Diabetes: A Cross-Sectional, Mixed Methods Approach (Preprint)

Background

Social determinants of health (SDOH) refer to the social, economic, and psychosocial conditions that influence health. Lower levels of SDOH factors including income, education, and employment are associated with a higher prevalence of diabetes, poorer glycemic control, and increased diabetes-related mortality. Few studies have conducted a comprehensive evaluation of multiple SDOH factors in a population with type 2 diabetes mellitus (T2DM).

Objective

This study aimed to identify the range of SDOH challenges—including diabetes-related distress—that impact patients with insulin-dependent diabetes at an urban safety-net clinic using the 5-domain SDOH framework developed by the Healthy People 2020 initiative.

Methods

The pilot study used a cross-sectional, mixed methods approach. Participants were recruited from 3 programs within a general internal medicine clinic that provides ambulatory care for patients with uncontrolled T2DM. We administered an investigator-developed SDOH survey based on the Healthy People 2020 framework and the validated Diabetes Distress Scale (DDS), which assesses 4 domains of diabetes-related distress. One-on-one interviews were conducted to gain in-depth information about challenges.

Results

In total, 57 participants had an average hemoglobin A_1c level of 11.0% (SD 2.6%). Overall, 92% (52/57) of participants had a barrier in at least one SDOH domain. SDOH challenges were most commonly reported in the domain of Health and Health Care (84%, 48/57), followed by Economic Stability (54%, n=31), Neighborhood and Built Environment (53%, n=30), Education and Health Literacy (47%, n=27), and Social and Community context (37%, n=21). The mean overall DDS score was 2.09 (SD 0.84), where scores of ≥2 indicate distress. Further, 79% (45/57) of participants had at least moderate diabetes-related distress in one of the 4 DDS domains. General themes that emerged from participant interviews included job interference with healthy behaviors, concerns about burdening others, challenges communicating with providers, and difficulty getting appointments in a timely manner.

Conclusions

We found high levels of SDOH barriers across all 5 domains of the Center for Disease Control and Prevention’s Healthy People 2020 framework, including significant levels of diabetes-related distress. Future programs to address SDOH barriers in patients with uncontrolled insulin-dependent diabetes should consider screening for and focusing on a wide range of challenges.