Disparities In Diabetes Care Research Articles

Diabetes Management: A Case Study to Drive National Policy Change in Primary Care Settings.

Despite medical advances, diabetes management remains a considerable challenge in the United States, with little to no improvement in patient outcomes and stark disparities in underserved communities. One acute challenge is that, as the US population with diabetes grows steadily-numbering 38.4 million people today-there are too few endocrinologists available to treat the disease and the burdens on primary care professionals, who treat more than 90% of cases currently, are staggering. This disconnect between need and care capacity presents what may be the greatest of many threats to the care of diabetic Americans. To understand what is required to solve this need-to-capacity mismatch, we examine the critical role of primary care professionals and propose national policy approaches to empower and improve the nation's primary care architecture for the nearly 12% of Americans who have diabetes. Policy recommendations encompass the integration of the chronic care model and the patient-centered medical home approach, expansion of workforce development initiatives, and payment reform to incentivize team-based care with the aim of ensuring equitable access to essential diabetes management tools. We urge policy makers to prioritize primary care workforce development, enhance reimbursement models, and implement strategies to mitigate disparities in diabetes care. Evidence reviewed here highlights the critical need for a comprehensive, multidimensional approach to diabetes management in primary care, emphasizing the importance of decisive action by policy makers to equip primary care professionals with the necessary resources and support to effectively address the nation's diabetes epidemic.

Latent classes of learners in people with type 2 diabetes, stratified by educational status: A cross-sectional study

ObjectiveResearch suggests that people with type 2 diabetes (PWT2D) exhibit different approaches to learning about disease-management. This study’s aims to identify distinct learner groups among PWT2D and stratify them by educational status (ES). MethodsCross-sectional data from 227 PWT2D, collected through 46 Likert-scale questions on learning behaviors, preferences, and attitudes, were analyzed using latent class analysis, to identify learner groups. Participants were recruited via healthcare practices in central Germany and a countrywide online survey. Group membership was displayed according to low, medium, and high ES, defined by years of schooling. ResultsFour learner groups were identified: casual, versatile, insecure, and theorist learners. Insecure learners accounted for almost half of all respondents in the low ES group (46 %), casual learners were most prevalent among PWT2D with a medium (27 %), versatile (34 %) and theorist (29 %) learners among those with a high ES. ConclusionThis study sheds light on learner groups among PWT2D, which differ by ES, suggesting social disparities in diabetes care. Further research is needed to validate these findings. Practice ImplicationsUnderstanding individual learning preferences and motivations is crucial for developing effective diabetes self-management trainings, which may involve providing additional background material for theorists and practical applications for insecure learners.

12314 Effectiveness Of Continuous Glucose Monitors In Patients With Type 2 Diabetes On Washington Medicaid Or Financial Assistance

Abstract Disclosure: A. Deng: None. A. Thirumalai: None. J. Lin: None. M. Weber: None. S. Zuo: None. Continuous glucose monitors (CGMs) have become more accessible for patients with type 2 diabetes mellitus (T2DM) on one insulin injection per day who have either commercial or Medicare plans. However, there are still strict requirements for patients with Washington State Medicaid, creating disparities in diabetes care for vulnerable populations. The aim of this study is to assess the effectiveness and adherence of CGMs in patients with T2DM on Washington State Medicaid plans or institutional financial assistance who are prescribed at least one insulin injection daily, similar to Medicare requirements. This ongoing prospective cohort study enrolled 40 adult patients with T2DM, baseline A1C greater than 7%, and prescribed at least one insulin injection per day from three Harborview Medical Center clinics. Through grant funding, patients were provided with Freestyle Libre 2 CGMs for 6 months. Since this is an ongoing study, we present preliminary results of patients who completed 3 months of CGM use. Effectiveness was measured by the change in A1C from baseline to 3 months after initiation of the CGM (primary outcome) and change in CGM glycemic metrics on ambulatory glucose profile (AGP) from baseline to 3 months after initiation of CGM (secondary outcomes). Assessment of adherence to the CGMs involved tracking the percentage of CGM data captured from the AGP reports recorded at each visit and monitoring dispense history. Twenty patients reached the 3-month follow-up with a median age of 59 years; 60% female, 70% non-English speaking; 45% with Medicaid, and 55% with Harborview Financial Assistance as insurance coverage. Median baseline A1C was 9.2%, duration of diabetes was 10 years, number of diabetes medications was 3, daily insulin injections of 2, and number of blood glucose checks per day was 1. At first CGM download (2 weeks), the median time in range (TIR, glucose 70-180 mg/dL) was 53.5%, coefficient of variation was 35.3% and percent of data captured was 80%. At 3-month follow-up, the median reduction in A1c was –1.2% (IQR -1.8, -0.5). On CGM, the median TIR had increased to 60.5%, coefficient of variation had improved to 31.5% and percent of data captured was 79%. In this ongoing study, preliminary findings show encouraging early evidence of improved glycemic control after CGMs were initiated and patients sustained greater than 70% CGM data captured at 3 months. These results should be interpreted with caution given the small number of participants with results at 3 months. Nonetheless, once the study is complete, the outcomes may be used to inform eligibility requirements for continuous glucose monitors in patients with Washington Medicaid or Harborview Financial Assistance. Presentation: 6/3/2024

1072-P: Identifying Disparities in Diabetes Care for Minority Racial Groups—Evaluating an Enhanced Primary Care Practice Model

1072-P: Identifying Disparities in Diabetes Care for Minority Racial Groups—Evaluating an Enhanced Primary Care Practice Model

Multicentre, retrospective cohort study protocol to identify racial and ethnic differences in acute kidney injuries in children and adolescents with diabetic ketoacidosis

IntroductionApproximately 40% of children with diabetic ketoacidosis (DKA) develop acute kidney injury (AKI), which increases the risk of chronic kidney damage. At present, there is limited knowledge of racial or...

Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes.

Type 2 diabetes (T2DM) poses a significant public health challenge, with pronounced disparities in control and outcomes. Social determinants of health (SDoH) significantly contribute to these disparities, affecting healthcare access, neighborhood environments, and social context. We discuss the design, development, and use of an innovative web-based application integrating real-world data (electronic health record and geospatial files), to enhance comprehension of the impact of SDoH on T2 DM health disparities. We identified a patient cohort with diabetes from the institutional Diabetes Registry (N = 67,699) within the Duke University Health System. Patient-level information (demographics, comorbidities, service utilization, laboratory results, and medications) was extracted to Tableau. Neighborhood-level socioeconomic status was assessed via the Area Deprivation Index (ADI), and geospatial files incorporated additional data related to points of interest (i.e., parks/green space). Interactive Tableau dashboards were developed to understand risk and contextual factors affecting diabetes management at the individual, group, neighborhood, and population levels. The Tableau-powered digital health tool offers dynamic visualizations, identifying T2DM-related disparities. The dashboard allows for the exploration of contextual factors affecting diabetes management (e.g., food insecurity, built environment) and possesses capabilities to generate targeted patient lists for personalized diabetes care planning. As part of a broader health equity initiative, this application meets the needs of a diverse range of users. The interactive dashboard, incorporating clinical, sociodemographic, and environmental factors, enhances understanding at various levels and facilitates targeted interventions to address disparities in diabetes care and outcomes. Ultimately, this transformative approach aims to manage SDoH and improve patient care.

Delivering community-focused diabetes care to tackle health inequalities

Anne Phillips highlights disparities in diabetes care across the UK, emphasising the need for community-focused services design and integrated working to reduce the impact on patients and NHS services.

Disparities in Diabetes Care: Differences Between Rural and Urban Patients Within a Large Health System.

We sought to ascertain factors associated with the quality of diabetes care, comparing rural vs urban diabetic patients in a large health care system. We conducted a retrospective cohort study assessing patients' attainment of the D5 metric, a diabetes care metric having 5 components (no tobacco use, glycated hemoglobin [A1c] level less than 8%, blood pressure less than 140/90 mm Hg, low-density lipoprotein cholesterol level at goal or statin prescribed, and aspirin use consistent with clinical recommendations). Covariates included age, sex, race, adjusted clinical group (ACG) score as a marker of complexity, insurance type, primary care clinician type, and health care use data. The study cohort consisted of 45,279 patients with diabetes, 54.4% of whom resided in rural locations. The D5 composite metric was met in 39.9% of rural patients and 43.2% of urban patients (P <.001). Rural patients were significantly less likely to have attained all metric goals than urban counterparts (adjusted odds ratio [AOR] = 0.93; 95% CI, 0.88-0.97). The rural group had fewer outpatient visits (mean number of visits = 3.2 vs 3.9, P <.001) and less often had an endocrinology visit (5.5% vs 9.3%, P <.001) during the 1-year study period. Patients with an endocrinology visit were less likely to have met the D5 metric (AOR = 0.80; 95% CI, 0.73-0.86), whereas the more outpatient visits patients had, the greater their likelihood of attainment (AOR per visit = 1.03; 95% CI, 1.03-1.04). Rural patients had worse diabetes quality outcomes than their urban counterparts, even after adjustment for other contributing factors and despite being part of the same integrated health system. Lower visit frequency and less specialty involvement in the rural setting are possible contributing factors.

Investigating Racial and Ethnic Differences in Diabetes Self-Management Education Among Adults With Diabetes

The purpose of this study was to examine racial and ethnic differences in diabetes self-management education (DSME) participation among adults with diabetes. Population-based, cross-sectional data from the 2020 Behavioral Risk Factor Surveillance System diabetes module were analyzed. Study cohort included 9881 adults age 18 years or older with self-reported diabetes living in 11 US states, Washington, DC, and Puerto Rico. The outcome variable was participation in DSME. Weighted descriptive statistics and multivariable logistic regression were computed to investigate the association between race and ethnicity and participation in DSME, adjusting for self-reported social determinants of health factors (eg, sex, education, employment, health insurance). Overall, 19.3% self-identified as non-Hispanic Black, 16.5% as Hispanic, and 59.9% as non-Hispanic White. Of participants, 44.3% were between 66 and 80 years old, and 50.4% were women. Half (50.1%) reported participating in DSME, and 78.5% had seen clinicians for diabetes-related care 1 to 5 times in the past year. Hispanic participants were less likely to report participation in DSME (28.5%) compared to non-Hispanic Black (60.3%) and non-Hispanic White (53.4%) participants (P < .001). Adults with diabetes who were less likely to participate in DSME tend to be unmarried, have high school or lower-level education, and not exercise regularly. Racial and ethnic differences exist in DSME participation. Because DSME has been shown to improve diabetes outcomes, there is a need to develop strategies promoting equity in DSME participation, particularly among Hispanic populations, to reduce health disparities in diabetes care.

Abstract P572: Racial and Ethnic Disparities in Healthcare Access and Utilization Among People With Diabetes in the US

Introduction: Despite advances in diabetes care, racial disparities in diabetes care and outcomes remain. Moreover, better access to and utilization of healthcare is associated with optimal diabetes control. Yet, little is known about race and ethnicity disparities in diabetes care utilization in the US. Objective: To estimate racial/ethnic differences in access and utilization of health services among adults diagnosed with diabetes in the US population. Methods: In this cross-sectional analyses, we identified and analysed data of 3,563 adults diagnosed with diabetes from the National Health and Nutrition Examination Survey, 2011-2018. The sample (Whites N=1,100, Black N=1,002, Asian N=438, Hispanic N=1,023) included adults ≥18 years who had self-reported diagnosed diabetes. The exposure variable was race/ethnicity groups. Healthcare care access was defined as having a routine place of healthcare, health insurance, and provider for diabetes care; and utilization measures were defined as having checked HbA1c and received diabetes care ≥4 times in the past year. We fitted generalized linear models with Poisson distribution to examine disparities in healthcare access and utilization by race/ethnicity among adults with diabetes. Results: Participants had a mean age of 59 (SE .32) years old, 49% female. In the fully adjusted models, compared to White adults, Hispanic adults were less likely to have health insurance (adjusted Odds Ratio [aOR]: 0.96; 95% CI 0.91-0.99) and less likely to have their HbA1c checked in the past year (aOR: 0.92; 95% CI: 0.86-0.98) ( Table ). There were no significant differences in having a routine place for healthcare, provider for diabetes care, and diabetes care received (≥4 times) in the past year in the fully adjusted analyses. Conclusion: Racial differences exist with lower access and utilization of diabetes care particularly among Hispanic adults. Targeted health interventions to address access to diabetes care are needed.

Assessment of Disparities in Diabetes Mortality in Adults in US Rural vs Nonrural Counties, 1999-2018

US rural vs nonrural populations have striking disparities in diabetes care. Whether rurality contributes to disparities in diabetes mortality is unknown. To examine rates and trends in diabetes mortality based on county urbanization. In this observational, cross-sectional study, the US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database was searched from January 1, 1999, to December 31, 2018, for diabetes as a multiple cause and the underlying cause of death among residents aged 25 years or older in US counties. County urbanization was categorized as metro, medium-small, and rural. Weighted multiple linear regression models and jackknife resampling, with a 3-segment time component, were used. The models included exposures with up to 3-way interactions and were age standardized to the 2009-2010 population. The analyses were conducted from July 1, 2020, to February 1, 2022. County urbanization (metro, medium-small, or rural), gender (men or women), age group (25-54, 55-74, or ≥75 years), and region (Midwest, Northeast, South, or West). Annual diabetes mortality rate per 100 000 people. From 1999-2018, based on 4 022 238 309 person-years, diabetes was a multiple cause of death for 4 735 849 adults aged 25 years or older. As a multiple cause, diabetes mortality rates in 2017-2018 vs 1999-2000 were highest and unchanged in rural counties (157.2 [95% CI, 150.7-163.7] vs 154.1 [95% CI, 148.2-160.1]; P = .49) but lower in medium-small counties (123.6 [95% CI, 119.6-127.6] vs 133.6 [95% CI, 128.4-138.8]; P = .003) and urban counties (92.9 [95% CI, 90.5-95.3] vs 109.7 [95% CI, 105.2-114.1]; P < .001). In 2017-2018 vs 1999-2000, mortality rates were higher in rural men (+18.2; 95% CI, 14.3-22.1) but lower in rural women (-14.0; 95% CI, -17.7 to -10.3) (P < .001 for both). In the 25- to 54-year age group, mortality rates in 2017-2018 vs 1999-2000 showed a greater increase in rural counties (+9.4; 95% CI, 8.6-10.2) compared with medium-small counties (+4.5; 95% CI, 4.0-5.0) and metro counties (+0.9; 95% CI, 0.4-1.4) (P < .001 for all). Of all regions and urbanization levels, the mortality rate in 2017-2018 vs 1999-2000 was higher only in the rural South (+13.8; 95% CI, 7.6-20.0; P < .001). In this cross-sectional study, US rural counties had the highest overall diabetes mortality rate. The determinants of persistent rural disparities, in particular for rural men and for adults in the rural South, require investigation.

Diabetes, ethnic minority groups and COVID‐19: an inevitable storm

AbstractThe risk of type 2 diabetes (T2DM) is two‐ to four‐fold higher in ethnic minority populations compared to White populations in the UK and is also associated with an increased risk of certain macrovascular and microvascular complications. Additionally, T2DM has an earlier onset in ethnic minority groups of around 10–12 years than in White populations. The exact reasons for the higher prevalence are unclear but include the complex interplay of biological, lifestyle, environmental and socioeconomic factors. This is further compounded by disparities in care received by ethnic minority populations. The UK was the first country to report on the disproportionate impact of COVID‐19 on ethnic minority groups. Diabetes is also a major risk factor for severe COVID‐19 and, combined with pre‐existing ethnic disparities in diabetes care, has been a significant contributor to inequalities in COVID‐19 outcomes for ethnic minority populations with diabetes including disproportionate hospitalisation and mortality. Major ethnic disparities in diabetes care in the US and UK, especially intermediate outcomes and diabetes complications, were evident prior to the COVID‐19 pandemic. However, the COVID‐19 pandemic has exposed these pre‐pandemic health disparities for ethnic minority populations with diabetes. Similar to the higher risk of T2DM in ethnic minority populations, the exact reasons for higher risk of COVID‐19 in minority ethnic groups are complex and include comorbidities, risk factor control, deprivation and access to care including wider structural issues. As we now plan for recovery, it is imperative that those delivering diabetes care urgently address the disproportionate impact the pandemic has had on ethnic minority populations. Reducing these inequalities will require a greater understanding of the causes. Copyright © 2022 John Wiley &amp; Sons.

The Impact of the COVID-19 Pandemic on Ethnic Minority Groups With Diabetes.

Major ethnic disparities in diabetes care, especially for intermediate outcomes and diabetes complications, were evident prior to the coronavirus disease 2019 (COVID-19) pandemic. Diabetes is a risk factor for severe COVID-19, and the combination of these ethnic disparities in diabetes care and outcomes may have contributed to the inequity in COVID-19 outcomes for people with diabetes. Overall, ethnic minority populations have suffered disproportionate rates of COVID-19 hospitalization and mortality. Results from the limited number of studies of COVID-19 in ethnic minority populations with diabetes are mixed, but there is some suggestion that rates of hospitalization and mortality are higher than those of White populations. Reasons for the higher incidence and severity of COVID-19-related outcomes in minority ethnic groups are complex and have been shown to be due to differences in comorbid conditions (e.g., diabetes), exposure risk (e.g., overcrowded living conditions or essential worker jobs), and access to treatment (e.g., health insurance status and access to tertiary care medical centers), which all relate to long-standing structural inequities that vary by ethnicity. While guidelines and approaches for diabetes self-management and outpatient and inpatient care during the pandemic have been published, few have recommended addressing wider structural issues. As we now plan for the recovery and improved surveillance and risk factor management, it is imperative that primary and specialist care services urgently address the disproportionate impact the pandemic has had on ethnic minority groups. This should include a focus on the larger structural barriers in society that put ethnic minorities with diabetes at potentially greater risk for poor COVID-19 outcomes.

Cross-Sector Collaborations Between Health Care Systems and Community Partners That Target Health Equity/Disparities in Diabetes Care.

Evidence shows that social determinants of health (SDOH) are key drivers of diabetes outcomes and disparities in diabetes care. Targeting SDOH at the individual, organizational, and policy levels is an essential step in improving health equity for individuals living with diabetes. In addition, there is increasing recognition of the need to build collaboration across the health care system and the communities experiencing inequities to improve health equity. As a result, partnerships between health and nonhealth sectors have emerged as a crucial component for increasing health equity in diabetes care and achieving health equity. The purpose of this article is to discuss cross-sector collaborations between health care systems and nonhealth partners that target health equity in diabetes care.

Bridging the LatinX community care gap.

To summarize current developments aimed at improving diabetes care utilizing novel and culturally sensitive strategies to bridge the care gap in the LatinX community. There is more than a decade of literature describing disparities in diabetes care and outcomes particularly involving ethnic and racial minorities leading to higher incidence of acute and long-term complications. Social determinants of health including language and cultural barriers in the LatinX community are important determining factors. We found three novel strategies reported in the current literature aimed at closing the diabetes care gap in LatinX patients: community-based efforts: community health workers (CHWs) and peer-led; shared medical and educational models; and adapting telehealth group appointments. Here we review relevant but limited published articles found in the literature addressing the diabetes care gap in the LatinX community utilizing cost effective, novel and culturally sensitive strategies and reinforce the importance of continued work and publications on this very important field.

Introduction of publicly funded pharmacare and socioeconomic disparities in glycemic management in children and youth with type 1 diabetes in Ontario, Canada: a population-based trend analysis.

Background:We evaluated the impact of publicly funded pharmacare (Ontario Health Insurance Plan [OHIP]+), which was introduced in Ontario on Jan. 1, 2018, for youth less than 25 years of age, on temporal trends in hemoglobin A1c (HbA1c, a measure of glycemic management) and the differential effect on the change in temporal trends in HbA1c according to socioeconomic status (SES).Methods:We conducted a trend analysis using administrative data sets. We included youth aged 21 years, 9 months or younger, residing in Ontario on Jan. 1, 2016, with diabetes diagnosed before age 15 years and before Jan. 1, 2015. We used claims for insulin to measure pharmacare use. We evaluated the change in HbA1c (%) per 90 days before (Jan. 1, 2016, to Dec. 31, 2017) the introduction of and during (Apr. 1, 2018, to Mar. 31, 2019) OHIP+ coverage, and the difference in the change in HbA1c according to SES, using segmented regression analysis.Results:Of 9641 patients, 7041 (73.0%) made an insulin claim. We found a negligible difference in the temporal change in HbA1c during compared with before OHIP+ coverage that was not statistically significant (β estimate −0.0002, 95% confidence interval [CI] −0.0004 to 0.0000). The size of the effect was slightly greater in those individuals with the lowest SES than in those with the highest SES (β estimate −0.0008, 95% CI −0.0015 to −0.0001).Interpretation:We found that the effect of OHIP+ on the change in HbA1c was slightly greater for youth in the lowest SES than for those in the highest SES. Our findings suggest that publicly funded pharmacare may be an effective policy tool to combat worsening socioeconomic disparities in diabetes care and outcomes.

Trends and disparities in diabetes care following China's healthcare reform: Evidence from the 2011–12 and 2015–16 China Health and Retirement Longitudinal Study

To address the high burden of diabetes, China has managed to strengthen diabetes care during the past decade. This study aimed to examine trends and disparities in the coverage of diabetes care among diabetes patients aged 45 years and older following China's healthcare reform. We used data from the 2011–12 baseline survey and 2015–16 follow-up survey of the China Health and Retirement Longitudinal Study (CHARLS). The prevalence of three diabetes care indicators were compared between the two periods and by participants' characteristics. Logistic regressions and random-effect logit model were used to investigate the socioeconomic and geographic disparities in diabetes care indicators and assess whether there was a significant improvement in these disparities from 2011–12 to 2015–16. We found the prevalence of diabetes among adults aged 45 years and above increased from 16.37% in 2011–12 to 20.33% in 2015–16 in China. Between the 2011–12 and 2015–16 surveys, the proportions of diabetes patients who received health education increased from 31.68% to 35.63%, diabetes-related examination from 32.21% to 41.32%, and diabetes treatment from 30.8% to 36.6%. Disparities in the coverage of diabetes care still existed; while geographic disparities improved significantly during the study period, individual socioeconomic disparities persisted. To address disparities in diabetes care, more effort needs to be directed to improve the primary care system to ensure the quality and timely delivery of diabetes care. Tailored programs should be carried out with more attention given to underserved groups with less educational attainment and lower economic status.

Self-reported cultural competency measures among patients with diabetes: A nationwide cross-sectional study in the United States

Culturally tailored interventions may reduce disparities in diabetes care. We conducted a nationally representative assessment of self-reported cultural competency measures of care among patients with diabetes in the United States. The 2017 National Health Interview Survey was queried for adults with self-reported diabetes. Sample weight-adjusted multivariable logistic regressions defined adjusted odds ratios and 95% confidence intervals of a positive response to each of the cultural competency measures while controlling for relevant sociodemographic variables. 2,448 adults were included in the analyses. Black, Latinx, and Asian respondents had greater odds of and individuals with the highest income level had lower odds of placing greater importance in sharing cultures with their provider. Black and Latinx individuals had lower odds of reporting encountering providers who shared or understood their cultures. Asians had lower odds of and respondents aged 40-64 and 65 years and older had greater odds of reporting frequently being treated with respect by their providers. Non-English speakers had lower odds of and individuals from higher income brackets had greater odds of reporting frequently receiving easy-to-understand information about their care. Blacks and respondents not part of the workforce had greater odds of reporting frequently being asked about their opinions or beliefs in care. Disparities in self-reported provider cultural competency measures exist among cultural minorities in the United States. Our findings may inform efforts to reduce disparities and improve care among minorities with diabetes. No funding was used in the preparation of this work.

Disparities in Diabetes Care

Disparities in the distribution of diabetes health have been reported by social class, age, gender, and ethnicity and may arise from an interplay of biological, clinical, and non-clinical factors. As well as being morally wrong, these differences in outcome will have a significant adverse effect on a nation’s health. As a result, there have been international efforts to reduce inequalities, from the strategic organisation of healthcare to providers and patients themselves, with mixed effects. This article outlines the disparities in diabetes care and outcomes in different patient groups, and how the approach of integration of health and social care may help to overcome some of the adverse aspects of societal organisation that underpins disparities.

Are racial/ethnic minorities recently diagnosed with diabetes less likely than white individuals to receive guideline-directed diabetes preventive care?

BackgroundDiabetes mellitus has reached epidemic proportions in the United States. As the prevalence of diabetes continues to rise, the burden of disease is divided unevenly among different populations. Racial/ethnic disparities in diabetes care are pervasive, including the provision of care for prevention of complications. Prevention efforts should be focused on the time that immediately follows a diagnosis of diabetes. The aim of this study was to assess racial/ethnic differences in the receipt of guideline-directed diabetes care for complication prevention by individuals recently diagnosed with diabetes.MethodsWe used repeated cross-sections of individuals recently diagnosed with diabetes (within the past 5 years) from the National Health Interview Survey from 2011 to 2017. Multivariate regression was used to estimate the associations between race/ethnicity (non-Hispanic White, non-Hispanic Black and Hispanic) and guideline-directed process measures for prevention of diabetes complications (visits to an eye and foot specialist, and blood pressure and cholesterol checks by a health professional - each in the prior year). We assessed effect modification of these associations by socioeconomic status (SES).ResultsIn a sample of 7,341 participants, Hispanics had lower rates of having any insurance coverage (75.9 %) than Non-Hispanic Whites (93.2 %) and Blacks (88.1 %; p<0.001). After adjustment for demographics, total comorbidities, SES, and health insurance status, Hispanics were less likely to have an eye exam in the prior year (OR 0.80; (95 % CI 0.65-0.99); p=0.04) and a blood pressure check (OR 0.42; (95 % CI 0.28-0.65); p<0.001) compared to Non-Hispanic Whites. There was no significant effect modification of race/ethnicity by SES.ConclusionsHispanics recently diagnosed with diabetes were less likely to receive some indicators of guideline-directed care for the prevention of complications. Lack of insurance and SES may partially explain those differences. Future work should consider policy change and providers’ behaviors linked to racial/ethnic disparities in diabetes care.