Health, Access to Care, and Financial Barriers to Care Among People Incarcerated in US Prisons.

Importance: Decades-old data indicate that people imprisoned in the US have poor access to health care despite their constitutional right to care. Most prisons impose co-payments for at least some medical visits. No recent national studies have assessed access to care or whether co-pays are associated with worse access. Objective: To determine the proportion of people who are incarcerated with health problems or pregnancy who used health services, changes in the prevalence of those conditions since 2004, and the association between their state's standard prison co-payment and care receipt in 2016. Design, Setting, and Participants: This cross-sectional analysis was conducted in October 2023 and used data from the Bureau of Justice Statistics' 2016 Survey of Prison Inmates, a nationally representative sample of adults in state or federal prisons, with some comparisons to the 2004 version of that survey. Exposures: The state's standard, per-visit co-payment amount in 2016 compared with weekly earnings at the prison's minimum wage. Main Outcomes and Measures: Self-reported prevalence of 13 chronic physical conditions, 6 mental health conditions, and current severe psychological distress assessed using the Kessler Psychological Distress Scale; proportion of respondents with such problems who did not receive any clinician visit or treatment; and adjusted odds ratios (aORs) comparing the likelihood of no clinician visit according to co-payment level. Results: Of 1 421 700 (unweighted: n = 24 848; mean [SD] age, 35.3 [0.3] years; 93.2% male individuals) prison residents in 2016, 61.7% (up from 55.9% in 2004) reported 1 or more chronic physical conditions; among them, 13.8% had received no medical visit since incarceration. A total of 40.1% of respondents reported ever having a mental health condition (up from 24.5% in 2004), of whom 33.0% had received no mental health treatment. A total of 13.3% of respondents met criteria for severe psychological distress, of whom 41.7% had not received mental health treatment in prison. Of state prison residents, 90.4% were in facilities requiring co-payments, including 63.3% in facilities with co-payments exceeding 1 week's prison wage. Co-payments, particularly when high, were associated with not receiving a needed health care visit (co-pay ≤1 week's wage: aOR, 1.43; 95% CI, 1.10-1.86; co-pay >1 week's wage: aOR, 2.17; 95% CI, 1.61-2.93). Conclusions and Relevance: This cross-sectional study found that many people who are incarcerated with health problems received no care, particularly in facilities charging co-payments for medical visits.

Material needs security and cardiovascular risk factors in rural South Africa.

BACKGROUND: The prevalence of cardiovascular disease is burgeoning in low- and middle-income countries (LMICs). In sub-Saharan Africa, the prevalence of cardiovascular risk factors is increasing, though rates of CVD diagnosis and management remain low. Awareness of the influence of social determinants of health (SDOH) on cardiovascular outcomes is growing, however, most work focuses on high-income countries. Material needs security is a measure of SDOH that may be particularly relevant for LMICs. This study investigated the relationship between material needs security and cardiovascular risk in older adults living in South Africa. METHODS: The analysis included 5059 respondents age ≥ 40 in the Health and Aging in Africa survey, an observational cohort study administered in 2014 in Mpumalanga Province, South Africa. Linear regression models tested the association between material needs and eight cardiovascular risk factors (waist-to-hip ratio, body mass index, blood pressure, glucose, cholesterol, LDL, and triglycerides). Adjusted linear regression models controlled for sociodemographic confounders. RESULTS: There were significant adjusted associations found between increased material needs security and four cardiovascular risk factors, including waist-to-hip ratio (ß = 0.001; 95% CI [0.00002,0.002]), BMI (ß = 0.19; 95%CI=[0.14,0.24]), glucose (ß = 0.46; 95%CI=[0.02,0.90]), and triglycerides (ß = 0.26; 95%CI=[0.02,0.49]). CONCLUSION: Increased material needs security was associated with significantly increased cardiovascular risk in older adults in rural South Africa. These findings can inform the approach to treatment and management of cardiovascular disease in South Africa and similar LMICs. Future investigations should evaluate the implementation and efficacy of interventions that recognize the role of material needs security in cardiovascular risk.

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.

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.

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.

Exploring Parental Incarceration, US Government Support Programs, and Child Health and Well-Being: A National Cross-Sectional Study.

OBJECTIVES: To describe relationships between parental incarceration and child health and flourishing-a measure of curiosity, resilience, and self-regulation-and to identify government programs that moderate this relationship. METHODS: Using the National Survey of Children's Health data from 2016 through 2019 for children 6-17 years old, we estimated associations with logistic regression between parental incarceration and overall health and flourishing, adjusting for child, caregiver, and household factors. We secondarily examined physical health (asthma, headaches), mental health (attention deficit disorder/attention deficit hyperactivity disorder, depression), developmental needs (learning disability, special educational plan use), and educational (missing ≥11 school days, repeated grade) outcomes. We performed interaction analyses to determine whether government program participation (eg, free/reduced lunch, cash assistance) moderated relationships between parental incarceration and child outcomes. RESULTS: Children with parental incarceration accounted for 9.3% of the sample (weighted n = 4 400 000). Black, American Indian/Alaska Native, and multiracial children disproportionately experienced parental incarceration. Parental incarceration was associated with worse health (aOR, 1.31; 95% CI, 1.11-1.55) and higher odds of not flourishing (aOR, 1.66; 95% CI, 1.46-1.89). Physical health, mental health, developmental issues, and educational needs were also associated with parental incarceration. Participation in free and reduced lunch moderated the relationships between parental incarceration and general health and flourishing, and cash assistance moderated the association between parental incarceration and flourishing. For each, parental incarceration had an attenuated association with health among people who participated in government programs. CONCLUSIONS: Parental incarceration is disproportionately experienced by Black and Indigenous children and associated with worse child health and well-being. Government support program participation may mitigate negative associations between parental incarceration and child outcomes.

Health Insurance and Mental Health Treatment Use Among Adults With Criminal Legal Involvement After Medicaid Expansion.

OBJECTIVE: Individuals with criminal legal involvement have high rates of substance use and other mental disorders. Before implementation of the Affordable Care Act's Medicaid expansion, they also had low health insurance coverage. The objective of this study was to assess the impact of Medicaid expansion on health insurance coverage and use of treatment for substance use or other mental disorders in this population. METHODS: The authors used restricted data (2010-2017) from the National Survey on Drug Use and Health (NSDUH). Using a difference-in-differences approach, the authors estimated the impact of Medicaid expansion on health insurance coverage and treatment for substance use or other mental disorders among individuals with recent criminal legal involvement. RESULTS: The sample consisted of 9,910 NSDUH respondents who were ages 18-64 years, had a household income ≤138% of the federal poverty level, and reported past-year criminal legal involvement. Medicaid expansion was associated with an 18 percentage-point increase in insurance coverage but no change in receipt of substance use treatment among individuals with substance use disorder. Individuals with any other mental illness had a 16 percentage-point increase in insurance coverage but no change in receipt of mental health treatment. CONCLUSIONS: Despite a large increase in health insurance coverage among individuals with criminal legal involvement and substance use or other mental disorders, Medicaid expansion was not associated with a significant change in treatment use for these conditions. Insurance access alone appears to be insufficient to increase treatment for substance use or other mental disorders in this population.

Relationship between criminal legal system exposure and health care utilization in US adults with diabetes: A cross-sectional study.

BACKGROUND: Black Americans have a higher prevalence of diabetes compared to White Americans and have higher rates of complications and death. Exposure to the criminal legal system (CLS) is a social risk factor for chronic disease morbidity and mortality with significant overlap with populations most likely to experience poor diabetes outcomes. However, little is known about the association between CLS exposure and healthcare utilization patterns among U.S. adults with diabetes. METHODS: Using data from the National Survey of Drug Use and Health (2015-2018) a cross-sectional, nationally representative sample of U.S. adults with diabetes was created. Negative binomial regression was used to test the association between lifetime CLS exposure and three utilization types (emergency department (ED), inpatient, and outpatient) controlling for relevant socio-demographic and clinical covariates. RESULTS: Of 11,562 (weighted to represent 25,742,034 individuals) adults with diabetes, 17.1% reported lifetime CLS exposure. In unadjusted analyses, exposure was associated with increased ED (IRR 1.30 95% CI 1.17-1.46) and inpatient utilization (IRR 1.23, 95% CI 1.01-1.50), but not outpatient visits (IRR 0.99 95% CI 0.94-1.04). The association between CLS exposure and ED (IRR 1.02, p=0.70) and inpatient utilization (IRR 1.18, p=0.12) was attenuated in adjusted analyses. Low socioeconomic status, comorbid substance use disorder, and comorbid mental illness were independently associated with health care utilization in this population. CONCLUSIONS: Among those with diabetes, lifetime CLS exposure is associated with higher ED and inpatient visits in unadjusted analyses. Adjusting for socioeconomic status and clinical confounders attenuated these relationships, thus more research is needed to understand how CLS exposure interacts with poverty, structural racism, addiction and mental illness to influence health care utilization for adults with diabetes.

Modern Day Consequences of Historic Redlining: Finding a Path Forward.

There is emerging evidence that structural racism is a major contributor to poor health outcomes for ethnic minorities. Structural racism captures upstream historic racist events (such as slavery, black code, and Jim Crow laws) and more recent state-sanctioned racist laws in the form of redlining. Redlining refers to the practice of systematically denying various services (e.g., credit access) to residents of specific neighborhoods, often based on race/ethnicity and primarily within urban communities. Historical redlining is linked to increased risk of diabetes, hypertension, and early mortality due to heart disease with evidence suggesting it impacts health through suppressing economic opportunity and human capital, or the knowledge, skills, and value one contributes to society. Addressing structural racism has been a rallying call for change in recent years-drawing attention to the racialized impact of historical policies in the USA. Unfortunately, the enormous scope of work has also left people feeling incapable of effecting the very change they seek. This paper highlights a path forward by briefly discussing the origins of historical redlining, highlighting the modern-day consequences both on health and at the societal level, and suggest promising initiatives to address the impact.

Treating Hepatitis C in Individuals With Previous Incarceration: The Veterans Health Administration, 2012-2019.

To determine whether the Veterans Health Administration's (VHA) hepatitis C (HCV) treatment campaign reached marginalized populations, we compared HCV care by previous incarceration status with Veterans Aging Cohort Study data. Of those with and those without previous incarceration, respectively, 40% and 21% had detectable HCV, 59% and 65% underwent treatment (P = .07); 92% and 94% of those who completed treatment achieved sustained virologic response. The VHA HCV treatment effort was successful and other systems should replicate those efforts. (Am J Public Health. 2023;113(2):162-165. https://doi.org/10.2105/AJPH.2022.307152).

Relationship between food insecurity and housing instability on quality of care and quality of life in adults with diabetes.

OBJECTIVE: Examine the relationship between food and housing insecurities, quality of care and quality of life in adults with diabetes using a nationally representative data source. METHODS: Data from 39,604 adults with diabetes who indicated if they experienced food and/or housing insecurity in the Behavioral Risk Factor Surveillance System (2014, 2015, 2017) was analyzed. Outcomes included quality of care (HbA1c test, eye exam, diabetes education, foot check) and quality of life (general health status, poor physical and mental health days, poor overall health days). Logistic models were run for each quality of care measure and linear models were run for each quality of life measure adjusting for socio-demographics, insurance status, and comorbidity count. RESULTS: 35.6% of adults with diabetes reported housing insecurity, 31.8% reported food insecurity, and 23.4% reported both. After adjustment, food and housing insecurity was significantly associated with lower odds of having an eye exam (housing:0.73, 95%CI:0.63,0.85; food:0.78, 95%CI:0.67,0.92; both:0.69, 95%CI:0.59,0.82), worse general health status (housing:-0.06 95%CI:-0.11,-0.01; food:-0.16, 95%CI:-0.21,-0.10; both:-0.14, 95%CI:-0.20,-0.09), and an increased number of poor mental health days (housing:1.73, 95%CI:0.83,2.63; food:2.08, 95%CI:1.16,3.00; both:1.97, 95%CI:1.05,2.90). Food insecurity was also associated with lower odds of receiving diabetes education (0.86, 95%CI:0.74,0.99) and an increased number of poor physical health days (0.95, 95%CI:0.14,1.76). CONCLUSION: Changes to our healthcare delivery system are critical to improving standards of care and quality of life in all populations and may require a shift towards consideration of overlapping social risk factors rather than the siloed approach currently used.

Pathways between neighbourhood factors, stress and glycaemic control in individuals with type 2 diabetes in Southeastern United States: a cross-sectional pathway analysis.

OBJECTIVES: Understanding the pathway by which neighbourhood factors influence glycaemic control may be crucial to addressing health disparities in diabetes. This study aimed to examine if the pathway between neighbourhood factors and glycaemic control is mediated by stress. DESIGN: Structured equation modelling (SEM) was used to investigate direct and indirect effects in the relationship between neighbourhood factors, stress and glycaemic control, with standardised estimates to allow comparison of paths. PARTICIPANTS: Data was obtained from 615 adults with type 2 diabetes in the Southeastern United States. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome variable was glycaemic control determined by glycated haemoglobin (HbA1c) within the prior 6 months. Neighbourhood factors included neighbourhood violence, aesthetic quality of the neighbourhood, access to healthy food, and social cohesion. Stress was measured using the perceived stress scale. RESULTS: In the final model (χ2(158)=406.97, p<0.001, root mean square error of approximation=0.05, p-close 0.38, Comparative Fit Index=0.97, Tucker-Lewis index=0.96, the coefficient of determination=1.0), violence (r=0.79, p=0.006), neighbourhood aesthetics (r=0.74, p=0.02) and social cohesion (r=0.57, p=0.04) were significantly associated with higher perceived stress. Stress (r=0.06, p=0.004) was directly associated with higher glycaemic control. Significant indirect effects existed between violence and higher HbA1c (r=0.05, p=0.04). After controlling for other neighbourhood factors, there was no significant relationship between access to healthy food and either stress or glycaemic control. CONCLUSIONS: While a number of neighbourhood factors were directly associated with stress, only neighbourhood violence had a significant indirect effect on glycaemic control via stress within the tested pathway. Future studies should examine individual-level stress management interventions and should consider community-level interventions targeting neighbourhood violence as strategies for addressing disparities in diabetes.

Association Between Lifetime Criminal Justice Involvement and Substance Use Disorders in U.S. Adults with Diabetes.

Background: Criminal justice involvement (CJI) is a social risk in adults with both diabetes and substance use, however, the relationship between CJI, diabetes, and substance use disorders is not well studied. Methods: Data from a nationally representative sample of U.S. adults with diabetes from the National Survey of Drug Use and Health (2015-2018) were used to establish the prevalence of the following substance use disorders: alcohol, opioid, cannabis, cocaine, and methamphetamine, or a composite variable for any substance use disorder. Multiple logistic regression was used to test the association between CJI and each substance use disorder in adults with diabetes controlling for relevant covariates. Results: Of 11,594 respondents representing 25,834,422 U.S. adults with diabetes, 17.1% reported prior CJI. Prevalence of substance use disorders was significantly higher in individuals with CJI compared to those without CJI (alcohol: 8.3 vs. 2.2; opioid: 2.1 vs. 0.4; cannabis: 1.4 vs. 0.2; cocaine: 1.2 vs. 0.1; methamphetamine: 1.2 vs. 0.1; any substance: 11.86 vs. 2.78; p<0.001 for all). In fully adjusted models, odds of substance use disorders were significantly higher in individuals with CJI (alcohol: odds ratio [OR] 2.76, 95% confidence interval [CI]: 2.01-3.82; opioid: OR 5.08, 95% CI: 2.25-11.47; cannabis: OR 5.05, 95% CI: 2.60-9.81; cocaine: OR 23.62, 95% CI: 5.59-99.82; methamphetamine: OR 40.66, 95% CI: 13.23-124.95; any substance: OR 7.19, 95% CI: 4.47-11.56). Conclusion: In adults with diabetes, prevalence of substance use disorder is high among those with CJI. Interventions that target substance use disorders are needed in this population.

Evaluation of Changes in US Health Insurance Coverage for Individuals With Criminal Legal Involvement in Medicaid Expansion and Nonexpansion States, 2010 to 2017.

This cross-sectional study compares changes in health insurance coverage from 2010 to 2017 for low-income US adults with criminal legal involvement in states that did and did not adopt the Medicaid expansion provision of the Affordable Care Act.

Association Between Social Adaptability Index Score and Lifetime Criminal Legal Involvement in U.S. Adults.

Background: Exposure to the criminal legal system is associated with negative health outcomes and profound socioeconomic health disparities. The social adaptability index (SAI) is a validated composite scale based on five indicators of socioeconomic status; a higher score predicts better health outcomes. However, little is known about the relationship between cumulative social risk factors as measured by the SAI and lifetime criminal legal involvement (CLI). Methods: Using a cross-sectional, nationally representative sample of U.S. adults, we calculated SAI score by lifetime CLI status, and used logistic regression with predictive margins to calculate risk of lifetime CLI by SAI quartile adjusting for demographic and clinical covariates. Results: A total of 213,678 participants were included, among whom 16.8% reported lifetime CLI. Mean SAI score was lower among those with lifetime CLI compared with those without (7.77, 95% confidence interval [CI]: 7.72-7.83 vs. 8.52, 95% CI: 8.50-8.55). There was a linear association between SAI quartile and predicted probability of lifetime CLI: first quartile: 23.9% (95% CI: 23.0-24.7); second quartile: 19.2% (95% CI: 18.6-19.8); third quartile: 17.5% (95% CI: 16.9-18.1); and fourth quartile: 12.5% (95% CI: 12.1-13.0). Conclusion: The SAI score is associated in a reverse linear manner with lifetime risk of CLI, suggesting that to successfully improve health outcomes among those with CLI, interventions may need to target multiple SAI components simultaneously. Interventions that successfully position individuals to achieve higher social adaptability by targeting multiple factors may reduce the health-harming effects of exposure to the criminal legal system.

Individual and Combined Effect of Diabetes and Lifetime Criminal Justice Involvement on Healthcare Utilization in US Adults, 2015-2019.

BACKGROUND: Diabetes and criminal justice involvement (CJI) are both associated with poor health outcomes and increased healthcare utilization. However, little is known about the additive effects of these risk factors when combined. This study examined the individual and combined effects of diabetes and CJI on healthcare utilization. METHODS: Data from the National Survey of Drug Use and Health (2015-2019) was used to create a cross-sectional, nationally representative sample of US adults with diabetes, CJI, combination of both, or neither. Negative binomial regression was used to test the association between those with CJI and diabetes (compared to diabetes alone) and three utilization types (outpatient, ED, and inpatient) controlling for relevant sociodemographic and clinical covariates. RESULTS: Of 212,079 respondents, representing 268,893,642 US adults, 8.8% report having diabetes alone, 15.2% report having CJI alone, and 1.8 % report both diabetes and lifetime CJI. After adjustment, those with diabetes and CJI had increased acute care utilization compared to those with diabetes alone (ED visits: IRR 1.13; 95% CI 1.00-1.28; nights hospitalized: IRR 1.34; 95% CI 1.08-1.67). There was no difference in outpatient utilization between those with both diabetes and CJI compared to those with diabetes alone (IRR 1.04, 95% CI 0.99-1.10). CONCLUSION: Individuals with complex social and health risks such as diabetes and lifetime CJI experience increased acute healthcare utilization but no difference in outpatient utilization. Tailored interventions that target both diabetes and CJI are needed to reduce unnecessary utilization in this population.

Relationship between housing insecurity, diabetes processes of care, and self-care behaviors.

BACKGROUND: The aim of this analysis was to examine the influence of housing insecurity on diabetes processes of care and self-care behaviors and determine if that relationship varied by employment status or race/ethnicity. METHODS: Using nationally representative data from the Behavioral Risk Factor Surveillance System (2014-2015), 16,091 individuals were analyzed for the cross-sectional study. Housing insecurity was defined as how often respondents reported being worried or stressed about having enough money to pay rent/mortgage. Following unadjusted logistic models testing interactions between housing insecurity and either employment or race/ethnicity on diabetes processes of care and self-care behaviors, stratified models were adjusted for demographics, socioeconomic status, health insurance status, and comorbidity count. RESULTS: 38.1% of adults with diabetes reported housing insecurity. Those reporting housing insecurity who were employed were less likely to have a physicians visit (0.58, 95%CI 0.37,0.92), A1c check (0.45, 95%CI 0.26,0.78), and eye exam (0.61, 95%CI 0.44,0.83), while unemployed individuals were less likely to have a flu vaccine (0.84, 95%CI 0.70,0.99). Housing insecure White adults were less likely to receive an eye exam (0.67, 95%CI 0.54,0.83), flu vaccine (0.84, 95%CI 0.71,0.99) or engage in physical activity (0.82, 95%CI 0.69,0.96), while housing insecure Non-Hispanic Black adults were less likely to have a physicians visit (0.56, 95%CI 0.32,0.99). CONCLUSIONS: Housing insecurity had an influence on diabetes processes of care and self-care behaviors, and this relationship varied by employment status and race/ethnicity. Diabetes interventions should incorporate discussion surrounding housing insecurity and consider differences in the impact by demographic factors on diabetes care.

Association between mental health outcomes and lifetime criminal justice involvement in U.S. adults with diabetes.

BACKGROUND: Diabetes is a leading cause of death in the United States, and comorbid mental illness is associated with worse diabetes outcomes. Those with criminal justice involvement (CJI) have high rates of mental illness and diabetes prevalence. However, little is known about the relationship between CJI and mental illness among those with diabetes. METHODS: Using a nationally representative sample of U.S. adults with diabetes from the National Survey of Drug Use and Health (2015-2018), we investigated the relationship between CJI and mental health outcomes (depression, serious psychologic distress, serious mental illness, moderate mental illness, any mental illness, functional status). Multiple linear and logistic regression models were used to assess the relationship between CJI and each mental health outcome adjusting for multiple socio-demographic and comorbidity variables. RESULTS: Of 11,594 respondents, representing 25,834,422 adults with diabetes, 17.1% reported prior CJI. In fully adjusted models, CJI was independently associated with all mental health outcomes: depression (aOR 1.80, 95% CI: 1.41, 2.30), serious psychologic distress (aOR 1.53, 95% CI: 1.23, 1.90), serious mental illness (aOR 2.00, 95% CI: 1.58, 2.52), moderate mental illness (aOR 1.72, 95% CI 1.30, 2.26), any mental illness (aOR 1.92, 95% CI: 1.56, 2.35) and functional status (regression coefficient 3.6, 95% CI: 3.53, 3.79). CONCLUSION: Those with diabetes and criminal justice involvement experience concentrated risk for poor mental health outcomes. Our findings suggest that mental health interventions may be imperative to achieving control of diabetes in the justice-involved population.

Health Care Disparities Across the Urban-Rural Divide: A National Study of Individuals with COPD.

PURPOSE: The burden of chronic obstructive pulmonary disease (COPD) is high in rural America. Few studies, however, have examined urban/rural differences in health care access, or racial/ethnic and income disparities stratified by urban/rural residence, among persons with COPD. METHODS: We studied individuals age ≥ 40 years with COPD from the 2018 Behavioral Risk Factor Surveillance System. The primary exposure was "urban" or "rural" county of residence. We examined multiple health and health care access/services outcomes using logistic regressions adjusted for age and sex, and performed analyses stratified by rural/urban county that included additional adjustment for race/ethnicity or income. FINDINGS: Our sample included 34,439 individuals. COPD prevalence was 8.6% in rural counties versus 5.4% in urban counties. Rural residents with COPD were poorer, had less education, worse health, and more disability. Of the rural population with COPD, 12.6% were uninsured, versus 10.4% in urban areas (AOR 1.26; 95% CI: 1.00-1.58). Rural residents with COPD were more likely to have not seen a doctor due to cost (AOR 1.18; 95% CI: 1.02-1.36). Differences in other outcomes were mostly nonsignificant. We observed large access disparities by race/ethnicity and income among individuals in both urban and rural counties, with the highest rates of forgone care among minorities in rural counties. CONCLUSION: Patients with COPD in rural areas experience greater morbidity and obstacles to care than those in urban areas. Racial/ethnic minorities and those with low incomes-particularly in rural areas-are also at greater risk of forgoing doctor visits due to cost. Expanded access to health care could address respiratory health inequities.