Identifying Individuals with Highest Social Risk in Adults with Type 2 Diabetes Using Item Response Theory.

OBJECTIVE: The aim of this analysis was to create a parsimonious tool to screen for high social risk using item response theory to discriminate across social risk factors in adults with type 2 diabetes. METHODS: Cross-sectional data of 615 adults with diabetes recruited from two primary care clinics were used. Participants completed assessments including validated scales on economic instability (financial hardship), neighborhood and built environment (crime, violence, neighborhood rating), education (highest education, health literacy), food environment (food insecurity), social and community context (social isolation), and psychological risk factors (perceived stress, depression, serious psychological distress, diabetes distress). Item response theory (IRT) models were used to understand the association between a participant's underlying level of a particular social risk factor and the probability of that response. A two-parameter logistic IRT model was used with each of the 12 social determinant factors being added as a separate parameter in the model. Higher values in item discrimination indicate better ability of a specific social risk factor in differentiating participants from each other. RESULTS: Rate of crime reported in a neighborhood (discrimination 3.13, SE 0.50; item difficulty - 0.68, SE 0.07) and neighborhood rating (discrimination 4.02, SE 0.87; item difficulty - 1.04, SE 0.08) had the highest discrimination. CONCLUSIONS: Based on these findings, crime and neighborhood rating discriminate best between individuals with type 2 diabetes who have high social risk and those with low social risk. These two questions can be used as a parsimonious social risk screening tool to identify high social risk.

Historic Redlining and Impact of Structural Racism on Diabetes Prevalence in a Nationally Representative Sample of U.S. Adults.

OBJECTIVE: We investigated direct and indirect relationships between historic redlining and prevalence of diabetes in a U.S. national sample. RESEARCH DESIGN AND METHODS: Using a previously validated conceptual model, we hypothesized pathways between structural racism and prevalence of diabetes via discrimination, incarceration, poverty, substance use, housing, education, unemployment, and food access. We combined census tract-level data, including diabetes prevalence from the Centers for Disease Control and Prevention PLACES 2019 database, redlining using historic Home Owners' Loan Corporation (HOLC) maps from the Mapping Inequality project, and census data from the Opportunity Insights database. HOLC grade (a score between 1 [best] and 4 [redlined]) for each census tract was based on overlap with historically HOLC-graded areas. The final analytic sample consisted of 11,375 U.S. census tracts. Structural equation modeling was used to investigate direct and indirect relationships adjusting for the 2010 population. RESULTS: Redlining was directly associated with higher crude prevalence of diabetes within a census tract (r = 0.01; P = 0.008) after adjusting for the 2010 population (χ2(54) = 69,900.95; P < 0.001; root mean square error of approximation = 0; comparative fit index = 1). Redlining was indirectly associated with diabetes prevalence via incarceration (r = 0.06; P < 0.001), poverty (r = -0.10; P < 0.001), discrimination (r = 0.14; P < 0.001); substance use (measured by binge drinking: r = -0.65, P < 0.001; and smoking: r = 0.35, P < 0.001), housing (r = 0.06; P < 0.001), education (r = -0.17; P < 0.001), unemployment (r = -0.17; P < 0.001), and food access (r = 0.14; P < 0.001) after adjusting for the 2010 population. CONCLUSIONS: Redlining has significant direct and indirect relationships with diabetes prevalence. Incarceration, poverty, discrimination, substance use, housing, education, unemployment, and food access may be possible targets for interventions aiming to mitigate the impact of structural racism on diabetes.

Differential Effect of Patient- and Provider-Level Factors on Patient Satisfaction Scores in Academic General Internal Medicine Clinics.

OBJECTIVE: Determine whether patient-level or provider-level factors have greater influence on patient satisfaction scores in an academic general internal medicine clinic. METHODS: Two years of data (2017-2019) from the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CGCAHPS) surveys from ambulatory internal medicine clinic visits in an academic health center located in the Midwest United States were used. Patient satisfaction was measured using the overall provider satisfaction score (0-10), dichotomized with 9-10 defined as satisfactory and 0-8 as unsatisfactory. Provider-level independent variables included age, sex, race/ethnicity, provider type, service type, clinical effort, academic rank, and years since graduation. Patient-level factors included age, sex, race/ethnicity, education, and Epic Risk Score. Generalized mixed-effects logistic regression models were used to investigate associations between top-box satisfaction score and patient- and provider-level factors, accounting for the nesting of patients within providers. RESULTS: Thirty-three providers and 4597 patients were included in the analysis. Male providers (OR, 1.57; 95% CI, 1.00, 2.47), minority group 2 (OR, 3.54; 95% CI, 1.24, 10.07) and minority group 3 (OR, 6.04; 95% CI, 1.45, 25.12), faculty (OR, 3.83; 95% CI, 1.56, 9.36), and primary care providers (OR, 5.60; 95% CI, 1.62, 19.34) had increased odds of having a top-box rating compared with females, minority group 1, advanced practice providers, and perioperative providers respectively. Age was the only patient independent correlate of top-box rating with a 3% increased odds of top-box rating for every year increase in age (OR, 1.03; 95% CI 1.02, 1.03). CONCLUSIONS: In this academic general internal medicine clinic, top-box satisfaction scores were more strongly associated with provider-level factors, including provider race/ethnicity, provider type, and service type, as opposed to patient-level factors. Further research is needed to confirm these findings and identify potential system-level interventions.

COVID-19 Information, Trust, and Risk Perception Across Diverse Communities in the United States: Initial Findings from a Multistate Community Engagement Alliance (CEAL).

Objectives. To provide initial findings from Community Engagement Alliance (CEAL), a multistate effort funded by the National Institutes of Health, to conduct urgent community-engaged research and outreach focused on COVID-19 awareness, education, and evidence-based response. Methods. We collected survey data (November 2020-November 2022) from 21 CEAL teams from 29 state and regional CEAL sites spanning 19 US states, the District of Columbia, and Puerto Rico, which covered priority populations served and trusted sources of information about COVID-19, including prevention behaviors, vaccination, and clinical trials. Results. A disproportionate number of respondents were Latino (45%) or Black (40%). There was considerable variability between CEAL sites regarding trusted sources of information, COVID-19 prevention, and COVID-19 vaccination. For example, more respondents (70%) reported health care providers as a trusted source of COVID-19 information than any other source (ranging from 6% to 87% by site). Conclusions. CEAL rapidly developed novel infrastructure to engage academic, public health, and community organizations to address COVID-19's impacts on underserved communities. CEAL provides an example of how to respond in future public health emergencies to quickly promote trustworthy, evidence-based information in ways that advance health equity. (Am J Public Health. 2024;114(S1):S112-S123. https://doi.org/10.2105/AJPH.2023.307504).

The Associations Between Medical and Mental Health Conditions and Health Care Utilization in US Adults with Past-Year Criminal Legal Involvement.

BACKGROUND: Every year, millions of US adults return home from prison or jail, and they visit the emergency department and experience hospitalizations at higher rates than the general population. Little is known about the primary conditions that drive this acute care use. OBJECTIVE: To determine the individual and combined associations between medical and mental health conditions and acute health care utilization among individuals with recent criminal legal involvement in a nationally representative sample of US adults. DESIGN: We examined the association between having medical or mental, or both, conditions (compared to none), and acute care utilization using negative binomial regression models adjusted for relevant socio-demographic covariates. PARTICIPANTS: Adult respondents to the National Survey of Drug Use and Health (2015-2019) who reported past year criminal legal involvement. MAIN MEASURES: Self-reported visits to the emergency department and nights spent hospitalized. RESULTS: Among 9039 respondents, 12.4% had a medical condition only, 34.6% had a mental health condition only, and 19.2% had both mental and medical conditions. In adjusted models, incident rate ratio (IRR) for ED use for medical conditions only was 1.32 (95% CI 1.05, 1.66); for mental conditions only, the IRR was 1.36 (95% CI 1.18, 1.57); for both conditions, the IRR was 2.13 (95% CI 1.81, 2.51). For inpatient use, IRR for medical only: 1.73 (95% CI 1.08, 2.76); for mental only, IRR: 2.47 (95% CI 1.68, 3.65); for both, IRR: 4.26 (95% CI 2.91, 6.25). CONCLUSION: Medical and mental health needs appear to contribute equally to increased acute care utilization among those with recent criminal legal involvement. This underscores the need to identify and test interventions which comprehensively address both medical and mental health conditions for individuals returning to the community to improve both health care access and quality.

Substance Use Disorders, Mental Illness, and Health Care Utilization Among Adults With Recent Criminal Legal Involvement.

OBJECTIVE: Individuals involved with the criminal legal system have higher rates of mental illness, addiction, and health care utilization. The authors examined whether substance use disorders and mental illness alone or in combination drive health care utilization among those with recent criminal legal involvement. METHODS: This cross-sectional analysis used nationally representative data from U.S. adults with past-year criminal legal involvement (N=9,039) recorded in the National Survey on Drug Use and Health (2015-2019). Using adjusted negative binomial regression models, the authors estimated relative risks for health care utilization. Primary independent variable categories included neither substance use disorder nor mental illness, substance use disorder only, mental illness only, and both conditions. Health care utilization included emergency department (ED) visits and nights spent in inpatient care. RESULTS: Relative to neither mental illness nor substance use disorder, mental illness alone was associated with significantly increased acute health care services use: for ED visits, incidence risk ratio (IRR)=1.43 (95% CI=1.18-1.75) and for inpatient stays, IRR=2.14 (95% CI=1.47-3.11). Having both conditions was associated with increased ED visits (IRR=1.62, 95% CI=1.38-1.91) and inpatient stays (IRR=4.16, 95% CI=2.98-5.82). Substance use disorder alone was associated only with higher risk for ED visits compared with neither condition (IRR=1.23, 95% CI=1.01-1.50). CONCLUSIONS: Mental illness with or without co-occurring substance use disorder is a strong driver of acute health care utilization after interaction with the criminal legal system. Interventions tailored to the unique needs of individuals with mental illness or substance use disorder are needed for those with recent criminal legal involvement.

Addressing Structural Inequalities, Structural Racism, and Social Determinants of Health: a Vision for the Future.

Significant national discourse has focused on the idea of structural inequalities and structural racism within a variety of societal sectors, including healthcare. This perspective provides an understanding of the historic and pervasive nature of structural inequalities and structural racism; uses well-known frameworks in health equity research for conceptualizing structural inequality and structural racism; offers a summary of the consequences of structural inequalities and structural racism on modern-day health outcomes; and concludes with strategies and suggestions for a way forward. Recommended strategies across different sectors of influence include (a) employment and economic empowerment sector: creating capacity for individuals to earn livable wages; (b) education sector: developing new funding structures to ensure equal opportunities are offered to all; (c) healthcare sector: prioritizing universal access to high-quality health care, including mental health treatment; (d) housing sector: improving access to affordable, safe housing through public-private partnerships; (e) criminal justice sector: focusing reform on restorative justice that is people-centric instead of punitive; and (f) environmental sector: creating sustainable systems that alleviate downstream consequences of climate change. The recommended strategies account for the mutually reinforcing and pervasive nature of structural inequalities/structural racism and target key sectors of influence to enhance overall health outcomes and achieve equity regardless of race, ethnicity, or socioeconomic status.

Spatial accessibility to health facilities among pregnant women with and without exposure to intimate partner violence in Uganda.

BACKGROUND: Poor physical access to health facilities could increase the likelihood of undetected intimate partner violence (IPV) during pregnancy. We aimed to determine sub-regional differences and associations between spatial accessibility to health facilities and IPV among pregnant women in Uganda. METHOD: Weighted cross-sectional analyses were conducted using merged 2016 Uganda Demographic and Health Survey and 2014 Uganda Bureau of Statistics health facility datasets. Our study population were 986 women who self-reported being currently pregnant and responded to IPV items. Outcome was spatial accessibility computed as the near point linear distance [< 5 km (optimal) vs. ≥ 5 km (low)] between women's enumeration area and health facility according to government reference cutoffs. Primary independent variable (any IPV) was defined as exposure to at least one of physical, emotional, and sexual IPV forms. Logistic regression models were sequentially adjusted for covariates in blocks based on Andersen's behavioral model of healthcare utilization. Covariates included predisposing (maternal age, parity, residence, partner controlling behavior), enabling (wealth index, occupation, education, economic empowerment, ANC visit frequency), and need (wanted current pregnancy, difficulty getting treatment money, afraid of partner, and accepted partner abuse) factors. RESULTS: Respondents' mean age was 26.1 years with ± 9.4 standard deviations (SD), mean number of ANC visits was 3.8 (± 1.5 SD) and 492/986 (49.9%) pregnant women experienced IPV. Median spatial accessibility to the nearest health facility was 4.1 km with interquartile range (IQR) from 0.2 to 329.1 km. Southwestern, and Teso subregions had the highest average percentage of pregnant women experiencing IPV (63.8-66.6%) while Karamoja subregion had the highest median spatial accessibility (7.0 to 9.3 km). In the adjusted analysis, pregnant women exposed to IPV had significantly higher odds of low spatial accessibility to nearest health facilities when compared to pregnant women without IPV exposure after controlling for enabling factors in Model 2 (aOR 1.6; 95%CI 1.2, 2.3) and need factors in Model 3 (aOR 1.5; 95%CI 1.1, 3.8). CONCLUSIONS: Spatial accessibility to health facilities were significantly lower among pregnant women with IPV exposure when compared to those no IPV exposure. Improving proximity to the nearest health facilities with ANC presents an opportunity to intervene among pregnant women experiencing IPV. Focused response and prevention interventions for violence against pregnant women should target enabling and need factors.

Healthcare provider experiences interacting with survivors of intimate partner violence: a qualitative study to inform survivor-centered approaches.

BACKGROUND: Intimate partner violence (IPV) remains a pervasive form of gender-based violence (GBV) that is largely undisclosed, especially among women seeking healthcare services in Uganda. Prioritizing survivor needs may improve IPV disclosure. This study explores healthcare worker experiences from provider-patient interactions with survivors seeking antenatal care services (ANC) in Uganda. METHODS: In-depth interviews were conducted among twenty-eight experienced healthcare providers in a rural and an urban-based ANC clinic in Eastern and Central Uganda. Providers were asked what they viewed as the needs and fears of women identified as having experienced any form of IPV. Iterative, inductive/deductive thematic analysis was conducted to discover themes regarding perceived needs, fears, and normalizing violence experienced by IPV survivors. RESULTS: According to healthcare providers, IPV survivors are unaware of available support services, and have need for support services. Providers reported that some survivors were afraid of the consequences of IPV disclosure namely, community stigma, worries about personal and their children's safety, retaliatory abuse, fear of losing their marriage, and partners' financial support. Women survivors also blamed themselves for IPV. Contextual factors underlying survivor concerns included the socio-economic environment that 'normalizes' violence, namely, some cultural norms condoning violence, and survivors' unawareness of their human rights due to self-blame and shame for abuse. CONCLUSIONS: We underscore a need to empower IPV survivors by prioritizing their needs. Results highlight opportunities to create a responsive healthcare environment that fosters IPV disclosure while addressing survivors' immediate medical and psychosocial needs, and safety concerns. Our findings will inform GBV prevention and response strategies that integrate survivor-centered approaches in Uganda.

Intimate partner violence and antenatal care utilization predictors in Uganda: an analysis applying Andersen's behavioral model of healthcare utilization.

BACKGROUND: Optimal utilization of antenatal care (ANC) services improves positive pregnancy experiences and birth outcomes. However, paucity of evidence exists on which factors should be targeted to increase ANC utilization among women experiencing intimate partner violence (IPV) in Uganda. OBJECTIVE: To determine the independent association between IPV exposure and ANC utilization as well as the predictors of ANC utilization informed by Andersen's Behavioral Model of Healthcare Utilization. METHODS: We analyzed 2016 Uganda Demographic and Health Survey data that included a sample of 1,768 women with children aged 12 to 18 months and responded to both ANC utilization and IPV items. Our outcome was ANC utilization, a count variable assessed as the number of ANC visits in the last 12 months preceding the survey. The key independent variable was exposure to any IPV form defined as self-report of having experienced physical, sexual and/or emotional IPV. Covariates were grouped into predisposing (age, formal education, religion, problem paying treatment costs), enabling (women's autonomy, mass media exposure), need (unintended pregnancy, parity, history of pregnancy termination), and healthcare system/environmental factors (rural/urban residence, spatial accessibility to health facility). Poisson regression models tested the independent association between IPV and ANC utilization, and the predictors of ANC utilization after controlling for potential confounders. RESULTS: Mean number of ANC visits (ANC utilization) was 3.71 visits with standard deviation (SD) of ± 1.5 respectively. Overall, 60.8% of our sample reported experiencing any form of IPV. Any IPV exposure was associated with lower number of ANC visits (3.64, SD ± 1.41) when compared to women without IPV exposure (3.82, SD ± 1.64) at p = 0.013. In the adjusted models, any IPV exposure was negatively associated with ANC utilization when compared to women with no IPV exposure after controlling for enabling factors (Coef. -0.03; 95%CI -0.06,-0.01), and healthcare system/environmental factors (Coef. -0.06; 95%CI -0.11,-0.04). Predictors of ANC utilization were higher education (Coef. 0.27; 95%CI 0.15,0.39) compared with no education, high autonomy (Coef. 0.12; 95%CI 0.02,0.23) compared to low autonomy, and partial media exposure (Coef. 0.06; 95%CI 0.01,0.12) compared to low media exposure. CONCLUSION: Addressing enabling and healthcare system/environmental factors may increase ANC utilization among Ugandan women experiencing IPV. Prevention and response interventions for IPV should include strategies to increase girls' higher education completion rates, improve women's financial autonomy, and mass media exposure to improve ANC utilization in similar populations in Uganda.

Prevalence and correlates of pre-diabetes in Sub-Saharan Africa using Demographic and Health Survey Data: a cross-sectional study.

OBJECTIVE: The objective is to investigate the prevalence of pre-diabetes in Namibia and South Africa and to determine sociodemographic correlates of disease using population data. DESIGN: Cross-sectional study. SETTING: Demographic and Health Survey for emerging (Namibia) and established (South Africa) economies in Sub-Saharan Africa collected laboratory data that allowed determination of pre-diabetes status. PARTICIPANTS: 3141 adults over age 18 from the 2013 Namibia survey, weighted to a population of 2176, and 4964 adults over age 18 from the 2016 South Africa survey, weighted to a population of 4627 had blood glucose/glycated haemoglobin (HbA1c) and diabetes information were included in the analysis. OUTCOME MEASURES: Pre-diabetes was defined as not being diagnosed with diabetes and having a blood sugar measurement of 100-125 mg/dL in Namibia or an HbA1c measurement of 5.7%-6.4%. Logistic models were run for each country separately, with pre-diabetes as the outcome and a series of sociodemographic variables (age, gender, urban/rural residence, number of children, employment status, wealth index, education level, and ethnicity (in South Africa) or religion (in Namibia)) entered as variables to investigate the independent relationship of each. RESULTS: The weighted prevalence of pre-diabetes was 18.7% in Namibia and 70.1% in South Africa. Rural residence was independently associated with higher odds of pre-diabetes in Namibia (1.47, 95% CI 1.05 to 2.06), while both younger age (0.98, 95% CI 0.97 to 0.99) and urban residence (0.80, 95% CI 0.66 to 0.99) were independently associated with odds of pre-diabetes in South Africa. CONCLUSIONS: The prevalence of pre-diabetes was 18.7% in Namibia and 70.1% in South Africa. Correlates of pre-diabetes differed between the two countries with rural residents having higher odds of pre-diabetes in Namibia and urban residents with higher odds in South Africa. Aggressive interventions, including population level education and awareness programmes, and individual level education and lifestyle interventions that account for country-specific contextual factors are urgently needed to prevent progression to diabetes.

Relationship between Satisfaction Scores and Racial/Ethnic and Sex Concordance in Primary Care.

Racial/ethnic and sex concordance between patients and providers has been suggested as an important consideration in improving satisfaction and increasing health equity. We aimed to guide local efforts by understanding the relationship between satisfaction with care and patient-provider racial/ethnic and sex concordance within our academic medical center's primary care clinic. METHODS: Satisfaction data for encounters from August 2016 to August 2019 were matched to data from the medical record for patient demographics and comorbidities. Data on 33 providers were also obtained, and racial/ethnic and sex concordance between patients and providers was determined for each of the 3672 unique encounters. The primary outcome was top-box scoring on the CGCAHPS overall satisfaction scale (0-8 vs. 9-10). Generalized mixed-effects logistic regression, including provider- and patient-level factors as fixed effects and a random intercept effect for providers, were used to determine whether concordance had an independent relationship with satisfaction. RESULTS: 89.0% of the NHW-concordant pairs and 90.4% of the Minority Race/Ethnicity-concordant pairs indicated satisfaction, while 90.1% of the male-concordant and 85.1% of the female-concordant pairs indicated satisfaction. When fully adjusted, the female-concordant (OR = 0.58, 95% CI 0.35-0.94) and male-discordant (OR = 0.68, 95% CI 0.51-0.91) pairs reported significantly lower top-box satisfaction compared to the male-concordant pairs. Significant differences did not exist in racial/ethnic concordance. CONCLUSIONS: In this sample, differences in sex concordance were noted; however, patient- and provider-level factors may be more influential in driving patient satisfaction than race/ethnicity in this health system.

Examining the Relationship between Social Determinants of Health and Adverse Pregnancy Outcomes in Black Women.

OBJECTIVE: Our objective was to examine associations between social determinants of health (cultural, neighborhood, and psychosocial factors) and adverse pregnancy outcomes (gestational age at birth [GAB], preterm birth [PTB], and preeclampsia) in Black women. STUDY DESIGN: Cross-sectional data (n = 204) comprised adult Black women aged ≥18 years who delivered between 2013 and 2022 in Milwaukee,Wisconsin. Sequential unadjusted linear and logistic regression models were run to evaluate associations between social determinants of health and pregnancy outcomes. Stepwise regressions with forward selection were run to test the contribution of the social determinants of health to adverse pregnancy outcomes, independent of the contribution of established risk factors. RESULTS: Mean GAB was 37.9 weeks, 19.6% had a PTB and 17.7% had preeclampsia. In all fully adjusted models, education (ß0.15, 95% confidence interval [CI]: 0.005, 0.29), nulliparity (ß -1.26, 95%CI: -2.08, -0.44), multifetal gestation (ß -2.67, 95% CI: -4.29, -1.05), and exposure to neighborhood violence (ß -0.13, 95%CI: -0.25, -0.005) were associated with shortened GAB. Education (adjusted odds ratio [aOR]: 0.83, 95%CI: 0.69, 0.99), provider trust (aOR: 0.94, 95%CI: 0.88, 0.99), chance health locus of control (aOR: 0.88, 95%CI: 0.78, 0.99), and anxiety (aOR: 0.81, 95%CI: 0.69, 0.95) were associated with reduced odds of PTB. Powerful others health locus of control (aOR: 1.16, 95%CI: 1.03, 1.32), depression (aOR: 1.17, 95%CI: 1.01, 1.34), nulliparity (aOR: 4.73, 95%CI: 1.79, 12.55), multifetal gestation (aOR: 17.78, 95%CI: 3.49, 90.50), diabetes (aOR: 4.71, 95%CI: 1.17, 19.00), and obstructive sleep apnea (aOR: 44.28, 95%CI: 2.50, 783.12) were associated with increased odds of PTB. Internal health locus of control (aOR: 1.13, 95%CI: 1.01, 1.25), depression (aOR: 1.09, 95%CI: 1.01, 1.17), preeclampsia in a previous pregnancy (aOR: 5.96, 95% CI: 2.22, 16.01), and kidney disease (aOR: 34.27, 95% CI: 1.54, 763.75) were associated with preeclampsia. CONCLUSION: Provider trust, health locus of control, neighborhood violence, depression, and anxiety were associated with adverse pregnancy outcomes in Black women, independent of demographic and clinical risk factors. KEY POINTS: · We identified associations between exposure to neighborhood violence and gestational age at birth.. · Trust, locus of control, depression, and anxiety were associated with preterm birth and preeclampsia.. · Future research should focus on interventions that address social and clinical factors..

The role of structural racism and geographical inequity in diabetes outcomes.

Diabetes is pervasive, exponentially growing in prevalence, and outpacing most diseases globally. In this Series paper, we use new theoretical frameworks and a narrative review of existing literature to show how structural inequity (structural racism and geographical inequity) has accelerated rates of diabetes disease, morbidity, and mortality globally. We discuss how structural inequity leads to large, fixed differences in key, upstream social determinants of health, which influence downstream social determinants of health and resultant diabetes outcomes in a cascade of widening inequity. We review categories of social determinants of health with known effects on diabetes outcomes, including public awareness and policy, economic development, access to high-quality care, innovations in diabetes management, and sociocultural norms. We also provide regional perspectives, grounded in our theoretical framework, to highlight prominent, real-world challenges.

Interventions to address global inequity in diabetes: international progress.

Diabetes is a serious chronic disease with high associated burden and disproportionate costs to communities based on socioeconomic, gender, racial, and ethnic status. Addressing the complex challenges of global inequity in diabetes will require intentional efforts to focus on broader social contexts and systems that supersede individual-level interventions. We codify and highlight best practice approaches to achieve equity in diabetes care and outcomes on a global scale. We outline action plans to target diabetes equity on the basis of the recommendations established by The Lancet Commission on Diabetes, organising interventions by their effect on changing the ecosystem, building capacity, or improving the clinical practice environment. We present international examples of how to address diabetes inequity in the real world to show that approaches addressing the individual within a larger social context, in addition to addressing structural inequity, hold the greatest promise for creating sustainable and equitable change that curbs the global diabetes crisis.

Historic Residential Redlining and Present-Day Social Determinants of Health, Home Evictions, and Food Insecurity within US Neighborhoods.

OBJECTIVE: Examine the association between historic residential redlining and present-day racial/ethnic composition of neighborhoods, racial/ethnic differences in social determinant of health domains, and risk of home evictions and food insecurity. RESEARCH DESIGN AND METHODS: We examined data on 12,334 (for eviction sample), and 8996 (for food insecurity sample), census tracts in 213 counties across 37 states in the USA with data on exposure to historic redlining. First, we examined relationships between Home Owners' Loan Corporation (HOLC) redlining grades (A="Best", B="Still Desirable", C="Definitely Declining", D="Hazardous") and present-day racial/ethnic composition and racial/ethnic differences in social determinant of health domains of neighborhoods. Second, we examined whether historic redlining is associated with present-day home eviction rates (measured across eviction filings rates, and eviction judgment rates for 12,334 census tracts in 2018) and food insecurity (measured across low supermarket access, low supermarket access and income, low supermarket access and low car ownership for 8996 census tracts in 2019). Multivariable regression models were adjusted for census tract population, urban/rural designation, and county level fixed effects. RESULTS: Relative to areas with a historic HOLC grading of "A (Best)", areas with a "D (Hazardous)" grading had a 2.59 (95%CI=1.99-3.19; p-value<0.01) higher rate of eviction filings, and a 1.03 (95%CI=0.80-1.27; p-value<0.01) higher rate of eviction judgments. Compared to areas with a historic HOLC grading of "A (Best)", areas rated with a "D (Hazardous)" had a 16.20 (95%CI=15.02-17.79; p-value<0.01) higher rate of food insecurity based on supermarket access and income, and a 6.15 (95%CI =5.53-6.76; p-value<0.01) higher rate of food insecurity based on supermarket access and car ownership. CONCLUSIONS: Historic residential redlining is significantly associated with present-day home evictions and food insecurity, highlighting persistent associations between structural racism and present-day social determinants of health.

Gender invariance in the relationship between social support and glycemic control.

BACKGROUND: Social support (SS) is important in diabetes self-management; however, little is known about how different types of SS influence diabetes outcomes in men and women with type 2 diabetes mellitus (T2DM). Therefore, the aims of this study were to investigate the relationships between types of SS and glycemic control and self-care behaviors and assess whether the relationships differ by gender. METHODS: Cross-sectional study of 615 adults from two primary care clinics in the southeastern U.S. Outcomes were hemoglobin A1c (HbA1c) extracted from the medical records, and self-management behaviors (general diet, specific diet, exercise, blood glucose testing, foot care) measured using the Summary of Diabetes Self-Care Activities (SDSCA). Independent variable was SS (emotional/informational, tangible, affectionate, positive social interaction) measured using the Medical Outcomes Study (MOS) SS Scale. Structural equation modeling (SEM) was used to understand pathways between SS and glycemic control based on a theoretical model. RESULTS: Tangible support was significantly associated with self-care (r = 0.16; p = 0.046) and affectionate support was marginally associated with glycemic control (r = 0.15; p = 0.08) for both men and women. Using SEM to test gender invariance, there was no statistically significant difference in the meaning of SS between men and women. However, unique invariances in responses occurred, including a stronger relationship between tangible support and self-care for women (r = 0.24; p = 0.061). CONCLUSIONS: Of the four components of SS, tangible and affectionate support had the strongest influence on glycemic control. While affectionate support will improve glycemic control in both men and women, tangible support will improve self-care management, particularly in women.

Structural Racism as an Upstream Social Determinant of Diabetes Outcomes: A Scoping Review.

OBJECTIVE: To evaluate the evidence on the role of structural racism as an upstream factor impacting diabetes outcomes, identify current gaps, and recommend areas for future work. RESEARCH DESIGN AND METHODS: A reproducible search of Medline and Ovid was used. Structural factors based on the World Health Organization social determinants of health framework (governance, macroeconomic policy, social policy, public policy, and cultural and societal values) had to be included as measured variables or contextual factors discussed as upstream influences. Outcomes included 1) hemoglobin A1c (HbA1c), 2) LDL, 3) BMI, 4) quality of life, 5) self-efficacy, 6) mortality, 7) years of life lost, and 8) self-care behaviors. RESULTS: Thirteen articles were included for final synthesis. Ten studies focused on governance, two on social policies, one on public policies, and one on cultural and societal values. Results highlight significant associations between structural racism and poorer clinical outcomes (HbA1c and blood pressure), worse self-care behaviors (diet and physical activity), lower standards of care, higher mortality, and more years of life lost for adults with diabetes. CONCLUSIONS: There is a paucity of work investigating the relationship between structural racism and diabetes outcomes. Five areas for future work include 1) more rigorous research on the relationship between structural racism, downstream social determinants, and health outcomes in diabetes, 2) policy assessments specific to diabetes outcomes, 3) research designed to examine pathways and mechanisms of influence, 4) intervention development to mitigate the impact of structural racism, and 5) tracking and monitoring of change over time.

Dose response relationship between food insecurity and quality of life in United States adults: 2016-2017.

BACKGROUND: Food insecurity is associated with worse general health rating, but little research exists investigating whether there is a dose response relationship across levels of food security and mental and physical health domains at the population level. METHODS: Data from the Medical Expenditure Panel Survey (2016-2017) with US adults aged 18 years and older was used. The physical component score (PCS) and mental component score (MCS) of Quality of Life, served as the outcome measures. Four categories of food insecurity (high, marginal, low, very low food security) served as the primary independent variable. Linear regression was used to run unadjusted followed by adjusted models. Separate models were run for PCS and MCS. RESULTS: In a sample of US adults, 16.1% reported some degree of food insecurity. For PCS, marginal (ß = - 2.54 (p < 0.001), low (ß = - 3.41, (p < 0.001), and very low (ß = - 5.62, (p < 0.001) food security was associated with worse PCS scores, compared to adults with high food security. For MCS, marginal (ß = - 3.90 (p < 0.001), low (ß = - 4.79, (p < 0.001), and very low (ß = - 9.72, (p < 0.001) food security was associated with worse MCS scores, compared to adults with high food security. CONCLUSION: Increasing levels of food insecurity were associated with decreased physical and mental health quality of life scores. This relationship was not explained by demographic factors, socioeconomic factors, insurance, or comorbidity burden. This study suggests work is needed to mitigate the impact of social risk, such as food insecurity, on quality of life in adults, and understand pathways and mechanisms for this relationship.