Site assessment survey to assess the impact of the COVID-19 pandemic on HIV clinic site services and strategies for mitigation in Washington, DC.

INTRODUCTION: The COVID-19 pandemic has created substantial interruptions in healthcare presenting challenges for people with chronic illnesses to access care and treatment services. We aimed to assess the impact of the pandemic on HIV care delivery by characterizing the pandemic-related impact on HIV clinic-level services and the mitigation strategies that were developed to address them. METHODS: The data comes from a site assessment survey conducted in the DC Cohort, an observational clinical cohort of PWH receiving care at 14 HIV outpatient clinics in Washington, D.C. Frequency counts and prevalence estimates of clinic-level survey responses about the impact of care delivery, COVID-19 testing, and vaccinations and mitigation strategies are presented. RESULTS: Clinics reported an increase in temporary clinic closures (n = 2), reduction in clinic hours (n = 5), telehealth utilization (n = 10), adoption of multi-month dispensation of antiretroviral (ARV) medication (n = 11) and alternative drug delivery via postal/courier service, home/community delivery or pick-up (n = 11). Clinics utilized strategies for PWH who were lost to follow-up during the pandemic including offering care to persons with any income level and insurance status (n = 9), utilizing e-prescribing for auto refills even if the patient missed visits (n = 8), and utilization of the regional health information exchange to check for hospitalizations of PWH lost to follow-up (n = 8). Most social services offered before the pandemic remained available during the pandemic; however, some support services were modified. CONCLUSIONS: Our findings demonstrate the extent of pandemic-era disruptions and the use of clinic-level mitigation strategies among urban HIV clinics. These results may help prepare for future pandemic or public health emergencies that disrupt healthcare delivery and access.

Assessment of Structural Barriers and Racial Group Disparities of COVID-19 Mortality With Spatial Analysis.

IMPORTANCE: Although social determinants of health (SDOH) are important factors in health inequities, they have not been explicitly associated with COVID-19 mortality rates across racial and ethnic groups and rural, suburban, and urban contexts. OBJECTIVES: To explore the spatial and racial disparities in county-level COVID-19 mortality rates during the first year of the pandemic. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data for all US counties in 50 states and the District of Columbia for the first full year of the COVID-19 pandemic (January 22, 2020, to February 28, 2021). Counties with a high concentration of a single racial and ethnic population and a high level of COVID-19 mortality rate were identified as concentrated longitudinal-impact counties. The SDOH that may be associated with mortality rate across these counties and in urban, suburban, and rural contexts were examined. The 3 largest racial and ethnic groups in the US were selected: Black or African American, Hispanic or Latinx, and non-Hispanic White populations. EXPOSURES: County-level characteristics and community health factors (eg, income inequality, uninsured rate, primary care physicians, preventable hospital stays, severe housing problems rate, and access to broadband internet) associated with COVID-19 mortality. MAIN OUTCOMES AND MEASURES: Data on county-level COVID-19 mortality rates (deaths per 100 000 population) reported by the US Centers for Disease Control and Prevention were analyzed. Four indexes were used to measure multiple dimensions of SDOH: socioeconomic advantage index, limited mobility index, urban core opportunity index, and mixed immigrant cohesion and accessibility index. Spatial regression models were used to examine the associations between SDOH and county-level COVID-19 mortality rate. RESULTS: Of the 3142 counties included in the study, 531 were identified as concentrated longitudinal-impact counties. Of these counties, 347 (11.0%) had a large Black or African American population compared with other counties, 198 (6.3%) had a large Hispanic or Latinx population compared with other counties, and 33 (1.1%) had a large non-Hispanic White population compared with other counties. A total of 489 254 COVID-19-related deaths were reported. Most concentrated longitudinal-impact counties with a large Black or African American population compared with other counties were spread across urban, suburban, and rural areas and experienced numerous disadvantages, including higher income inequality (297 of 347 [85.6%]) and more preventable hospital stays (281 of 347 [81.0%]). Most concentrated longitudinal-impact counties with a large Hispanic or Latinx population compared with other counties were located in urban areas (114 of 198 [57.6%]), and 130 (65.7%) of these counties had a high percentage of people who lacked health insurance. Most concentrated longitudinal-impact counties with a large non-Hispanic White population compared with other counties were in rural areas (23 of 33 [69.7%]), included a large group of older adults (26 of 33 [78.8%]), and had limited access to quality health care (24 of 33 [72.7%]). In urban areas, the mixed immigrant cohesion and accessibility index was inversely associated with COVID-19 mortality (coefficient [SE], -23.38 [6.06]; P < .001), indicating that mortality rates in urban areas were associated with immigrant communities with traditional family structures, multiple accessibility stressors, and housing overcrowding. Higher COVID-19 mortality rates were also associated with preventable hospital stays in rural areas (coefficient [SE], 0.008 [0.002]; P < .001) and higher socioeconomic status vulnerability in suburban areas (coefficient [SE], -21.60 [3.55]; P < .001). Across all community types, places with limited internet access had higher mortality rates, especially in urban areas (coefficient [SE], 5.83 [0.81]; P < .001). CONCLUSIONS AND RELEVANCE: This cross-sectional study found an association between different SDOH measures and COVID-19 mortality that varied across racial and ethnic groups and community types. Future research is needed that explores the different dimensions and regional patterns of SDOH to address health inequity and guide policies and programs.

Effects of Different Types of Childhood Victimization on Health Outcomes: A Study of African American Young Adults in Washington, D.C.

OBJECTIVE: Some children experience violence and trauma with effects lasting into adulthood. We examine how five types of childhood exposure to violence (ETV) affect the current depression, sleep habits, and drug use of 638 African American youth ages 18 to 25, in Washington, D.C. METHODS: We correlated childhood exposure to conventional crime, child maltreatment, peer/sibling victimization, sexual victimization, and witnessing crime/indirect (WC/I) victimization with depressive symptoms, depressive moods, trouble sleeping, current drug use, lifetime alcohol, tobacco, and other drug (ATOD) use, and current ATOD use problems. RESULTS: Depressive symptoms and lifetime ATOD use were significantly correlated with each childhood ETV measure; depressive moods with WC/I and peer/sibling victimization, trouble sleeping with childhood maltreatment and current drug use, and problems with ATOD with childhood sexual victimization. CONCLUSIONS: Specific types of ETV are correlated with different behavioral and health outcomes in young adulthood and these differences are important to study further.

On Pause: How a Group of Medical Students Engaged with Their Community During the COVID-19 Pandemic.

During academic clinical suspensions related to the COVID-19 pandemic, a group of medical students in Washington, D.C. collaborated with a local federally qualified health center to launch a free COVID-19 testing site to increase access to testing in the community. The patients who accessed the testing site were predominantly Black/African American and Hispanic/Latino, some of whom were uninsured or without access to testing or a timely physician's referral. In this article, medical students reflect on their experiences at this testing site and provide commentary on how existing racial and socioeconomic health disparities have been exacerbated by the COVID-19 pandemic. While under the extremely unusual circumstance of a suspension from their clinical rotations, medical students elaborate on the lessons learned from this experience and the continued work required to engage deeply in the issues of equality and racial justice now and in the future.

The Influence of Social Determinants of Health on Emergency Departments Visits in a Medicaid Sample.

STUDY OBJECTIVE: We evaluate the relationship between social determinants of health and emergency department (ED) visits in the Medicaid Cohort of the District of Columbia. METHODS: We conducted a retrospective cohort analysis of 8,943 adult Medicaid beneficiaries who completed a social determinants of health survey at study enrollment. We merged the social determinants of health data with participants' Medicaid claims data for up to 24 months before enrollment. Using latent class analysis, we grouped our participants into 4 distinct social risk classes based on similar responses to the social determinants of health questions. We classified ED visits as primary care treatable or ED care needed, using the Minnesota algorithm. We calculated the adjusted log relative primary care treatable and ED care needed visit rates among the social risk classes by using generalized linear mixed-effects models. RESULTS: The majority (71%) of the 49,111 ED visits made by the 8,943 participants were ED care needed. The adjusted log relative rate of both primary care treatable and ED care needed visit rates increased with each higher (worse) social risk class compared with the lowest class. Participants in the highest social risk class (ie, unemployed and many social risks) had a log relative primary care treatable and ED care needed rate of 39% (range 28% to 50%) and 29% (range 21% to 38%), respectively, adjusted for age, sex, and illness severity. CONCLUSION: There is a strong relationship between social determinants of health and ED utilization in this Medicaid sample that is worth investigating in other Medicaid samples and patient populations.

Disparities in colorectal cancer screening among breast and prostate cancer survivors.

BACKGROUND: Colorectal cancer (CRC) screening is recommended as an integral part of cancer survivorship care. We compared the rates of CRC screening among breast and prostate cancer survivors by primary cancer type, patient, and geographic characteristics in a community-based health-care system with a mix of large and small metro urban areas. MATERIALS AND METHODS: Data for this retrospective study were abstracted from medical records of a multi-specialty practice serving about 250,000 individuals in southern Maryland. Breast (N = 1056) and prostate (N = 891) cancer patients diagnosed prior to 2015 were followed up till June 2018. Screening colonoscopy within the last 10 years was considered to be guideline concordant. Multivariate logistic regression was used to determine the prevalence odds ratios of being concordant on CRC screening by age, gender, race, metro area type, obesity, diabetes, and hypertension. RESULTS: Overall 51% of survivors had undergone a screening colonoscopy. However, there was a difference in CRC screening rate between prostate (54%) and breast (44%) cancer survivors. Older age (≥65 years), being a breast cancer survivor compared to prostate cancer, and living in a large compared to small metropolitan area were associated with a lower probability of receiving CRC screening. Having hypertension was associated with higher likelihood of being current on colonoscopy screening guidelines among survivors; but diabetes and obesity were not associated with CRC screening. CONCLUSIONS: Low levels of CRC screening utilization were found among breast and prostate cancer survivors in a single center in Southern Maryland. Gender, comorbidities, and residential factors were associated with receipt of CRC screening.

Neighborhood environment perceptions associate with depression levels and cardiovascular risk among middle-aged and older adults: Data from the Washington, DC cardiovascular health and needs assessment.

OBJECTIVES: Little is understood about associations between neighborhood characteristics and depression, a cardiovascular disease (CVD) risk factor, in diverse populations. We examined relationships between perceived/objective neighborhood characteristics, depression, and CVD markers within the Washington, DC CV Health/Needs Assessment, an evaluation among predominantly African-American (AA) adults in resource-limited DC communities. METHOD: Factor analysis of overall neighborhood environment perception (NEP) identified three NEP sub-scores:1) violence; 2) physical/social environment; 3) social cohesion (higher score = more favorable perception). Objective neighborhood characteristics were measured by geospatially-derived scores of walkability, transportation, and crime. Depression was defined by the revised Center for Epidemiologic Studies Depression Scale (CESD-R). We used linear-regression modeling to examine neighborhood measures and CESD-R associations. To investigate a subsequent connection with CVD risk, we examined relationships between CESD-R and CVD-associated cytokines in a population subset. RESULTS: Participants (N = 99; mean age = 59.06; 99% AA) had a mean CESD-R score = 5.8(SD = 8.88). In adjusted models, CESD-R scores decreased by 0.20 units (p = 0.01) for every overall NEP unit-increase. Perceived physical/social environment (ß = -0.34, p = 0.04) and social cohesion (ß = -0.82, p = 0.01) were related to CESD-R while perceived violence was not (ß = -0.28, p = 0.1). Of objective neighborhood environment measures (i.e. walk, transit, bike, personal crime, and property crime scores), only property crime score was associated with depression (ß = 4.99, p < 0.03). In population subset (n = 42), higher CESD-R associated with higher IL-1ß (ß = 21.25, p < 0.01) and IL-18 (ß = 0.006, p = 0.01). CONCLUSION: Favorable neighborhood perceptions are related to lower depressive symptoms in a predominantly AA cohort from Washington, DC resource-limited communities. Neighborhood perceptions appear to be strongly associated with depressive symptoms compared to objective characteristics. Increasing CESD-R scores were related to higher pro-inflammatory markers. Improving neighborhood perceptions may be beneficial to psychological well-being and CV health for urban minority residents.

Variation Among Public Health Interventions in Initial Efforts to Prevent and Control the Spread of COVID-19 in the 50 States, 29 Big Cities, and the District of Columbia.

US states and big cities acted to protect the residents of their jurisdictions from the threat of SARS-CoV-2 infection and reduce COVID-19 transmission. As there were no known pharmacologic interventions to prevent COVID-19 at the outset of the pandemic, public health and elected leaders implemented a host of nonpharmaceutical interventions (NPIs) to slow the spread of the virus. This article discusses variation among states and cities in their implementation of 3 NPIs: stay-at-home/shelter-in-place orders, gathering restrictions, and mask mandates. We illustrate how frequently each was used by states and big cities, discuss state and local authorities to implement such interventions, and consider how these NPIs and accompanying public adherence to public health orders may vary considerably in different regions of the country and by local and state laws specific to state preemption of public health authority.

Beyond the HIV Care Continuum and Viral Suppression: Broadening the Scope of Quality Metrics for Total HIV Patient Care.

Assessing quality care for people with HIV (PWH) should not be limited to reporting on HIV Care Continuum benchmarks, particularly viral suppression rates. At Kaiser Permanente Mid-Atlantic States (KPMAS), an integrated health system providing HIV care in the District of Columbia, Maryland, and Virginia, we created a comprehensive measure of HIV quality care, including both preventative measures and clinical outcomes. We included PWH ≥18 years old with ≥6 months KPMAS membership between 2015 and 2018. Process quality metrics (QMs) include: pneumococcal vaccination and influenza vaccination; primary care physician (PCP) and/or HIV/infectious disease (HIV/ID) visits with additional HIV/ID visit; antiretroviral treatment medication fills; and syphilis and gonorrhea/chlamydia screenings. Outcome QMs include HIV RNA <200/mL and other measurements within normal range [blood pressure, body mass index (BMI), hemoglobin, blood sugar, alanine transaminase, low-density lipoproteins, estimated glomerular filtration rate]; no hospitalization/emergency department visit; no new depression diagnosis; remaining or becoming a nonsmoker. Logistic models estimated odds of achieving QMs associated with sex, age, race/ethnicity, insurance type, and HIV risk. A total of 4996 observations were analyzed. 45.6% met all process QMs, while 19.6% met all outcome QMs. Least frequently met process QM was PCP or HIV/ID visit (74.5%); least met outcome QM was BMI (60.2%). Significantly lower odds of achieving all QMs among women {odds ratio (OR) = 0.63 [95% confidence interval (CI): 0.49-0.81]} and those with Medicaid and Medicare [vs. commercial; OR = 0.48 (95% CI: 0.30-0.76) and 0.47 (95% CI: 0.31-0.71)]. Broadening the scope of HIV patient care QMs beyond viral suppression helps identify opportunities for improvement. Successful process metrics do not necessarily coincide with greater outcome metrics.

Differences in Smoking Topography and Subjective Responses to Smoking Among African American and White Menthol and Non-Menthol Smokers.

INTRODUCTION: It has been suggested that menthol increases exposure to harmful elements of smoking and makes smoking more rewarding, easier to initiate, and harder to quit. Isolating the direct effects of menthol is challenging as African American (AA) race and menthol preference are highly overlapping. This study evaluated smoking behavior and subjective responses among a balanced sample of AA and white menthol and non-menthol smokers. In addition, smoking topography (ST) was compared to naturalistic smoking (NS) and interactions with menthol and race were explored. AIMS AND METHODS: Smokers (N = 100) smoked and rated their preferred brand of cigarettes via ST or NS during two laboratory visits (counterbalanced). RESULTS: Controlling for baseline differences among the groups (eg, nicotine dependence), menthol smokers took shorter and smaller puffs and AA smokers took longer puffs, but there were no differences in total puff volume, carbon monoxide, or other ST parameters. Menthol smokers reported greater urge reduction and lower sensory stimulation. The smoking method (ST vs. NS) had no effects on smoking behavior or exposure. Cigarettes smoked via ST were rated stronger. Differences in satisfaction based on the smoking method interacted with race and menthol status. Ratings of aversion differed by race and menthol status. CONCLUSIONS: Menthol was not associated with increased smoke exposure or reward (except for urge reduction). ST caused minimal experimental reactivity relative to NS. Additional research that isolates the effects of menthol and examines potential interactive effects with race and other variables is needed to better understand its role in smoking-related health disparities. IMPLICATIONS: Menthol and non-menthol smokers differed on some demographic variables and menthol preference was associated with greater nicotine dependence and greater urge reduction after smoking. Menthol was not associated with greater smoke exposure. Future research that investigates the unique risks associated with menthol and examines potential interactive effects with race and other related variables is warranted to better understand the role of menthol in smoking-related health disparities.

The Interaction of Race and Gender as a Significant Driver of Racial Arrest Disparities for African American Men.

The mass incarceration of African Americans is both a driver of racial health inequalities in the USA. Systemic social biases which associate African American men with criminality, violence, and as a particular threat to white women may partially explain their over-representation in the criminal justice system. We combined data from the Washington, DC Metro Police Department (MPD) and the American Community Survey to test whether neighborhood-level gender, race, and economic makeup were associated with elevated drug-related arrest disproportions for African American men. We found that African American men were significantly overrepresented in all drug-related arrests across the District, and that this arrest disproportion was significantly higher in neighborhoods that had a higher percentage of white female residents. The association between race and gender was somewhat attenuated, but not completely eliminated, when we introduced socio-economic variables to our model. Addressing the social determinants of criminal justice disparities must account for the intersection of race, gender, and economics, rather than considering race in isolation.

Birth Mode after Primary Cesarean among Hispanic and non-Hispanic Women at One U.S. Institution.

BACKGROUND: Despite a lower percentage of primary cesareans than non-Hispanic White and Black women, Hispanic women in the United States had the highest rate of repeat cesarean deliveries (RCD) in 2016; it is unclear if reasons for differences are due to known risk factors. Our study examined the association between ethnicity/race and RCD among women with one previous cesarean and whether demographic (age, marital status, education, language, and delivery year), anthropomorphic (height, prepregnancy body mass index), obstetrical/medical (parity, gestational age, infant birth weight, gestational diabetes, labor induction or augmentation, vaginal birth after cesarean delivery history), or health system (delivery day/time, payer source, provider gender) factors accounted for any observed differences by ethnicity/race. METHODS: Our retrospective cohort study used logistic regression to evaluate the relationship between ethnicity/race and RCD based on data from electronic delivery and prenatal records from 2010 to 2016, including 1800 births to Hispanic and non-Hispanic women with one previous cesarean at a District of Columbia hospital. RESULTS: Statistically significant differences by ethnicity/race were noted after adjustment for obstetric/medical factors, particularly parity and use of induction or augmentation methods. Hispanic (adjusted odds ratio, 2.48; 95% confidence interval, 1.03-6.01) and Black women (adjusted odds ratio, 2.83; 95% confidence interval, 1.67-4.81) had higher odds of RCD than White women. CONCLUSIONS: Adjustment for parity and use of induction or augmentation methods revealed higher odds of RCD for Hispanic and Black women than White women. Demographic and anthropometric factors did not alter these results. Our work is a first step in creating effective public health policy and programs that target potentially preventable RCD by highlighting the need to evaluate risk factors beyond those included in the literature to date.

Redesigning ambulatory care management for uncontrolled type 2 diabetes: a prospective cohort study of the impact of a Boot Camp model on outcomes.

Objective: Type 2 diabetes care management (DCM) is challenging. Few studies report meaningful improvements in clinical care settings, warranting DCM redesign. We developed a Boot Camp to provide timely, patient-centered, technology-enabled DCM. Impact on hemoglobin A1c (HbA1c), emergency department (ED) visits and hospitalizations among adults with uncontrolled type 2 diabetes were examined. Research design and methods: The intervention was designed using the Practical Robust Implementation and Sustainability Model to embed elements of the chronic care model. Adults with HbA1c>9% (75 mmol/mol) enrolled between November 2014 and November 2017 received diabetes education and medication management by diabetes educators and nurse practitioners via initial clinic and subsequent weekly virtual visits, facilitated by near-real-time blood glucose transmission for 90 days. HbA1c and risk for ED visits and hospitalizations at 90 days, and potential savings from reducing avoidable medical utilizations were examined. Boot Camp completers were compared with concurrent, propensity-matched chart controls receiving usual DCM in primary care practices. Results: A cohort of 366 Boot Camp participants plus 366 controls was analyzed. Participants were 79% African-American, 63% female and 59% Medicare-insured or Medicaid-insured and mean age 56 years. Baseline mean HbA1c for cases and controls was 11.2% (99 mmol/mol) and 11.3% (100 mmol/mol), respectively. At 90 days, HbA1c was 8.1% (65 mmol/mol) and 9.9% (85 mmol/mol), p<0.001, respectively. Risk for 90-day all-cause hospitalizations decreased 77% for participants and increased 58% for controls, p=0.036. Mean potential for monetization of US$3086 annually per participant for averted hospitalizations were calculated. Conclusions: Redesigning diabetes care management using a pragmatic technology-enabled approach supported translation of evidence-based best practices across a mixed-payer regional healthcare system. Diabetes educators successfully participated in medication initiation and titration. Improvement in glycemic control, reduction in hospitalizations and potential for monetization was demonstrated in a high-risk cohort of adults with uncontrolled type 2 diabetes. Trial registration number: NCT02925312.

Active monitoring versus direct active monitoring for Ebola virus disease in the United States: experiences and perceptions of former persons under monitoring in the District of Columbia and Indiana.

OBJECTIVES: During the 2014-2016 West Africa Ebola outbreak, the Centers for Disease Control and Prevention recommended daily monitoring and surveillance of persons arriving in the United States (US) from impacted areas through either active monitoring (phone calls, online platforms, and so on) or direct active monitoring (in-person or electronic visualization). Intensiveness of policies implemented by state/local jurisdictions varied markedly. To study the experiences and perceptions of active monitoring versus direct active monitoring on former persons under monitoring (FPUMs) in the US, we compared two jurisdictions that utilized distinct polices: the District of Columbia (DC) and Indiana (IN). STUDY DESIGN: Retrospective assessment survey of FPUMs. METHODS: FPUMs from both jurisdictions (DC 826 and IN 246) monitored from October 2014 to September 2015 were surveyed regarding their overall perception of monitoring, communications with jurisdictional staff, negative consequences experienced, and risk for and concern about Ebola virus disease. A total of 294 DC FPUMs and 52 IN FPUMs responded. RESULTS: Directly actively monitored FPUMs in IN were more likely to report monitoring was difficult (P < 0.01), not being allowed to return to work (P = 0.01), and faster response times when reaching out to their assigned health department (P < 0.01). Overall all FPUMs, regardless of the monitoring method they underwent, perceived little risk and reported they felt monitoring protected public health. CONCLUSIONS: Our results display that while FPUMs preferred active monitoring, both polices equally reduced their concern, suggesting that less intensive polices achieve the same level of perceived effectiveness by those monitored while also reducing the amount of negative consequences they may face.

The Impact of Maryland's Global Budget Payment Reform on Emergency Department Admission Rates in a Single Health System.

BACKGROUND: In 2014, the state of Maryland (MD) moved away from fee-for-service payments and into a global budget revenue (GBR) structure where hospitals have a fixed revenue target, independent of patient volume or services provided. We assess the effects of GBR adoption on emergency department (ED) admission decisions among adult encounters. METHODS: We used hospital medical record and billing data from adult ED encounters from January 1, 2011, through December 31, 2015, with four MD hospitals and two District of Columbia (DC) hospitals within the same health system. We performed difference-in-differences analysis and calculated the effects of the GBR model on ED admission rates (inpatient and observation) using hospital fixed-effect regression adjusted for patient, hospital, and community factors. We also examined changes in the distribution of acuity among ED admissions with GBR adoption. RESULTS: The study sample included 1,492,953 ED encounters with a mean ED admission rate of 20.5%. The ED admission rate difference pre- and post-GBR was -1.14% (95% confidence interval [CI] = -0.89 to -1.40) for MD hospitals and -0.04% (95% CI = -0.24 to 0.32) for DC hospitals with a difference-in-differences result of -1.10% (95% CI = -1.34 to -0.86). This change was attributable to a -3.3% (95% CI = -3.54 to -3.08) decline in inpatient admissions and 2.7% (95% CI = 2.53 to 2.79) increase in observation admissions. Declines in admissions were observed primarily among mild-to-moderate severity of illness encounters with a low risk of mortality. CONCLUSIONS: Within the same health system, implementation of global budgeting in MD hospitals was associated with a decline in ED admissions-particularly lower-acuity admissions-compared to DC hospitals that remained under fee-for-service payments.

Cardiovascular Disease in the Nation's Capital: How Policy and the Built Environment Contribute to Disparities in CVD Risk Factors in Washington, D.C.

On average, Washington D.C. residents experience low levels of cardiovascular disease (CVD) behavioral risk factors compared to the rest of the country. Despite presenting as a city of low risk, CVD mortality is higher than the national average. Driving this inconsistency are vast racial disparities as Black D.C. residents die from CVD at a much higher rate than their White counterparts. A closer examination of the data also reveals significant disparities between White and Black populations with regard to behavioral risk factors. Segregation and the built environments of sections of the city with large Black populations may be contributing to risk factor disparities. We examine factors in those built environments that contribute to disparities and assess the intentionality and effectiveness of policies focused on food access, physical activity, and tobacco use implemented between 2003 and 2014. We found that D.C. enacted few policies intentionally designed to reduce barriers in the physical environment that contributed to disparate outcomes, and the few that were implemented showed mixed results in their levels of effectiveness. Our findings demonstrated that both racial and geographical disparities have persisted for more than a decade and half. It is possible that the formation of intentional policies may help reduce barriers in the physical environment and disparate CVD outcomes.

Assessment of age-related differences in smoking status and health-related quality of life (HRQoL): Findings from the 2016 Behavioral Risk Factor Surveillance System.

Despite significant declines in the use of cigarettes, a significant proportion of adults smoke. This study explores the association between smoking and health-related quality of life (HRQoL) by age. The 2016 Behavioral Risk Factor Surveillance System survey was administered to adults in 50 states and District of Columbia (n = 437,195). Physically unhealthy days (PUDs) and mentally unhealthy days (MUDs)) were regressed on age strata (18-24, 25-34, 35-44, 45-54, 55-64, ≥ 65 years) and smoking status (never, former, someday, and everyday) using negative binomial regression models with adjustment for sociodemographic covariates. For each age group, everyday smoking highly predicted PUDs and MUDs. Predicted PUDs increased with age; predicted MUDs decreased with age. Among adults aged 45-54 and 55-64 years, 3-day difference in PUDs was observed between never smokers and everyday smokers. Among young adults (18-24 years), a 4.3-day difference in MUDs was observed between everyday and never smokers. The discrepancies were nonlinear with age. The observed relationship between smoking and HRQoL provides novel information about the need to consider age when designing community-based interventions. Additional research can provide needed depth to understanding the relationship between smoking and HRQoL in specific age groups.

Surveillance for Certain Health Behaviors and Conditions Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System, United States, 2015.

PROBLEM: Chronic conditions and disorders (e.g., diabetes, cardiovascular diseases, arthritis, and depression) are leading causes of morbidity and mortality in the United States. Healthy behaviors (e.g., physical activity, avoiding cigarette use, and refraining from binge drinking) and preventive practices (e.g., visiting a doctor for a routine check-up, tracking blood pressure, and monitoring blood cholesterol) might help prevent or successfully manage these chronic conditions. Monitoring chronic diseases, health-risk behaviors, and access to and use of health care are fundamental to the development of effective public health programs and policies at the state and local levels. REPORTING PERIOD: January-December 2015. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to and use of health care, and use of preventive health services related to the leading causes of death and disability. This report presents results for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico (Puerto Rico), and Guam and for 130 metropolitan and micropolitan statistical areas (MMSAs) (N = 441,456 respondents) for 2015. RESULTS: The age-adjusted prevalence estimates of health-risk behaviors, self-reported chronic health conditions, access to and use of health care, and use of preventive health services varied substantially by state, territory, and MMSA in 2015. Results are summarized for selected BRFSS measures. Each set of proportions refers to the median (range) of age-adjusted prevalence estimates for health-risk behaviors, self-reported chronic diseases or conditions, or use of preventive health care services by geographic jurisdiction, as reported by survey respondents. Adults with good or better health: 84.6% (65.9%-88.8%) for states and territories and 85.2% (66.9%-91.3%) for MMSAs. Adults with ≥14 days of poor physical health in the past 30 days: 10.9% (8.2%-17.2%) for states and territories and 10.9% (6.6%-19.1%) for MMSAs. Adults with ≥14 days of poor mental health in the past 30 days: 11.3% (7.3%-15.8%) for states and territories and 11.4% (5.6%-20.5%) for MMSAs. Adults aged 18-64 years with health care coverage: 86.8% (72.0%-93.8%) for states and territories and 86.8% (63.2%-95.7%) for MMSAs. Adults who received a routine physical checkup during the preceding 12 months: 69.0% (58.1%-79.8%) for states and territories and 69.4% (57.1%-81.1%) for MMSAs. Adults who ever had their blood cholesterol checked: 79.1% (73.3%-86.7%) for states and territories and 79.5% (65.1%-87.3%) for MMSAs. Current cigarette smoking among adults: 17.7% (9.0%-27.2%) for states and territories and 17.3% (4.5%-29.5%) for MMSAs. Binge drinking among adults during the preceding 30 days: 17.2% (11.2%-26.0%) for states and territories and 17.4% (5.5%-24.5%) for MMSAs. Adults who reported no leisure-time physical activity during the preceding month: 25.5% (17.6%-47.1%) for states and territories and 24.5% (16.1%-47.3%) for MMSAs. Adults who reported consuming fruit less than once per day during the preceding month: 40.5% (33.3%-55.5%) for states and territories and 40.3% (30.1%-57.3%) for MMSAs. Adults who reported consuming vegetables less than once per day during the preceding month: 22.4% (16.6%-31.3%) for states and territories and 22.3% (13.6%-32.0%) for MMSAs. Adults who have obesity: 29.5% (19.9%-36.0%) for states and territories and 28.5% (17.8%-41.6%) for MMSAs. Adults aged ≥45 years with diagnosed diabetes: 15.9% (11.2%-26.8%) for states and territories and 15.7% (10.5%-27.6%) for MMSAs. Adults aged ≥18 years with a form of arthritis: 22.7% (17.2%-33.6%) for states and territories and 23.2% (12.3%-33.9%) for MMSAs. Adults having had a depressive disorder: 19.0% (9.6%-27.0%) for states and territories and 19.2% (9.9%-27.2%) for MMSAs. Adults with high blood pressure: 29.1% (24.2%-39.9%) for states and territories and 29.0% (19.7%-41.0%) for MMSAs. Adults with high blood cholesterol: 31.8% (27.1%-37.3%) for states and territories and 31.4% (23.2%-42.0%) for MMSAs. Adults aged ≥45 years who have had coronary heart disease: 10.3% (7.2%-16.8%) for states and territories and 10.1% (4.7%-17.8%) for MMSAs. Adults aged ≥45 years who have had a stroke: 4.9% (2.5%-7.5%) for states and territories and 4.7% (2.1%-8.4%) for MMSAs. INTERPRETATION: The prevalence of health care access and use, health-risk behaviors, and chronic health conditions varied by state, territory, and MMSA. The data in this report underline the importance of continuing to monitor chronic diseases, health-risk behaviors, and access to and use of health care in order to assist in the planning and evaluation of public health programs and policies at the state, territory, and MMSA level. PUBLIC HEALTH ACTION: State and local health departments and agencies and others interested in health and health care can continue to use BRFSS data to identify groups with or at high risk for chronic conditions, unhealthy behaviors, and limited health care access and use. BRFSS data also can be used to help design, implement, monitor, and evaluate health-related programs and policies.

Affluence Does Not Influence Breast Cancer Outcomes in African American Women.

The aim of this study was to determine the impact of race and socioeconomic status on breast tumor clinicopathological features and survival outcomes. This study used breast cancer data from the Washington D.C. Cancer Registry (2000- 2010). Logistic regression and survival analysis assessed the association between race, socioeconomic (SES) variables, clinicopathological variables, recurrence-free survival and overall survival. African American (AA) breast cancer patients had an increased risk for stage III, ER-, and PR-breast cancer compared with White and Hispanic breast cancer patients. Additionally, D.C. geographical areas of lower socioeconomic status had higher incidences of stage III and stage IV breast cancer. A nested analysis demonstrated that AAs with higher median incomes compared with AAs with lower incomes revealed no differences for clinicopathological variables, nor were differences found between overall and recurrence-free survival. This study suggests that the biology of breast cancer in AAs could be driving breast cancer disparities.