Latent pathway-based Bayesian models to identify intervenable factors of racial disparities in breast cancer stage at diagnosis.

PURPOSE: We built Bayesian Network (BN) models to explain roles of different patient-specific factors affecting racial differences in breast cancer stage at diagnosis, and to identify healthcare related factors that can be intervened to reduce racial health disparities. METHODS: We studied women age 67-74 with initial diagnosis of breast cancer during 2006-2014 in the National Cancer Institute's SEER-Medicare dataset. Our models included four measured variables (tumor grade, hormone receptor status, screening utilization and biopsy delay) expressed through two latent pathways-a tumor biology path, and health-care access/utilization path. We used various Bayesian model assessment tools to evaluate these two latent pathways as well as each of the four measured variables in explaining racial disparities in stage-at-diagnosis. RESULTS: Among 3,010 Black non-Hispanic (NH) and 30,310 White NH breast cancer patients, respectively 70.2% vs 76.9% were initially diagnosed at local stage, 25.3% vs 20.3% with regional stage, and 4.56% vs 2.80% with distant stage-at-diagnosis. Overall, BN performed approximately 4.7 times better than Classification And Regression Tree (CART) (Breiman L, Friedman JH, Stone CJ, Olshen RA. Classification and regression trees. CRC press; 1984) in predicting stage-at-diagnosis. The utilization of screening mammography is the most prominent contributor to the accuracy of the BN model. Hormone receptor (HR) status and tumor grade are useful for explaining racial disparity in stage-at diagnosis, while log-delay in biopsy impeded good prediction. CONCLUSIONS: Mammography utilization had a significant effect on racial differences in breast cancer stage-at-diagnosis, while tumor biology factors had less impact. Biopsy delay also aided in predicting local and regional stages-at-diagnosis for Black NH women but not for white NH women.

Examining the relationship between self-reported lifetime cancer diagnosis and nativity: findings from the National Health and Nutrition Examination Survey (NHANES) 2011-2018.

PURPOSE: Cancer incidence in the USA remains higher among certain groups, regions, and communities, and there are variations based on nativity. Research has primarily focused on specific groups and types of cancer. This study expands on previous studies to explore the relationship between country of birth (nativity) and all cancer site incidences among USA and foreign-born residents using a nationally representative sample. METHODS: This is a cross-sectional study of (unweighted n = 22,554; weighted n = 231,175,933) participants between the ages of 20 and 80 from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. Using weighted logistic regressions, we analyzed the impact of nativity on self-reported cancer diagnosis controlling for routine care, smoking status, overweight, race/ethnicity, age, and gender. We ran a partial model, adjusting only for age as a covariate, a full model with all other covariates, and stratified by race/ethnicity. RESULTS: In the partial and full models, our findings indicate that US-born individuals were more likely to report a cancer diagnosis compared to their foreign-born counterparts (OR 2.34, 95% CI [1.93; 2.84], p < 0.01) and (OR 1. 39, 95% CI [1.05; 1.84], p < 0.05), respectively. This significance persisted only among non-Hispanic Blacks when stratified by race. Non-Hispanic Blacks who were US-born were more likely to report a cancer diagnosis compared to their foreign-born counterparts (OR 2.30, 95% [CI 1.31; 4.02], p < 0.05). CONCLUSION: A variety of factors may reflect lower self-reported cancer diagnosis in foreign-born individuals in the USA other than a healthy immigrant advantage. Future studies should consider the factors behind the differences in cancer diagnoses based on nativity status, particularly among non-Hispanic Blacks.

Characteristics Associated with Low-Value Cancer Screening Among Office-Based Physician Visits by Older Adults in the USA.

BACKGROUND: After a certain age, cancer screening may expose older adults to unnecessary harms with limited benefits and represent inefficient use of health care resources. OBJECTIVE: To estimate the frequency of cervical, breast, and colorectal cancer screening among adults older than US Preventive Services Task Force (USPSTF) age thresholds at which screening is no longer considered routine and to identify physician and patient factors associated with low-value cancer screening. DESIGN: Observational study using pooled cross-sectional data (2011-2016) from the National Ambulatory Medical Care Survey, a nationally representative probability sample of US office-based physician visits. PARTICIPANTS: Analyses for cervical and breast cancer screening were limited to visits by women over age 65 (N=37,818) and ages 75 and over (N=19,451), respectively. Analyses for colorectal cancer screening were limited to visits by patients over age 75 (N=31,543). MAIN MEASURES: Cancer screening procedures were coded as low value using USPSTF age thresholds. KEY RESULTS: Between 2011 and 2016, an estimated 509, 507, and 273 thousand potentially low-value Pap smears, mammograms, and colonoscopies/sigmoidoscopies, respectively, were ordered annually. Low-valuecervical cancer screening was less likely to occur for visits with older (vs. younger) patients. Compared to visits by non-HispanicWhite women, low-valuecervical and breast cancer screening was less likely to occur for visits by women whose race/ethnicitywas something other than non-HispanicWhite, non-HispanicBlack, or Hispanic. Obstetrician/gynecologistswere more likely to order low-valuePap smears and mammograms compared to family/generalpractice physicians. CONCLUSIONS: Thousands of cervical, breast, and colorectal cancer screenings at ages beyond routine guideline thresholds occur each year in the USA. Further research is needed to understand whether this pattern represents clinical inertia and resistance to de-adoption of previous screening practices, or whether physicians and/or patients perceive a higher value in these tests than that endorsed by experts writing evidence-based guidelines.

Correction to: Geographic surveillance of community associated MRSA infections in children using electronic health record data.

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Geographic surveillance of community associated MRSA infections in children using electronic health record data.

BACKGROUND: Community- associated methicillin resistant Staphylococcus aureus (CA-MRSA) cause serious infections and rates continue to rise worldwide. Use of geocoded electronic health record (EHR) data to prevent spread of disease is limited in health service research. We demonstrate how geocoded EHR and spatial analyses can be used to identify risks for CA-MRSA in children, which are tied to place-based determinants and would not be uncovered using traditional EHR data analyses. METHODS: An epidemiology study was conducted on children from January 1, 2002 through December 31, 2010 who were treated for Staphylococcus aureus infections. A generalized estimated equations (GEE) model was developed and crude and adjusted odds ratios were based on S. aureus risks. We measured the risk of S. aureus as standardized incidence ratios (SIR) calculated within aggregated US 2010 Census tracts called spatially adaptive filters, and then created maps that differentiate the geographic patterns of antibiotic resistant and non-resistant forms of S. aureus. RESULTS: CA-MRSA rates increased at higher rates compared to non-resistant forms, p = 0.01. Children with no or public health insurance had higher odds of CA-MRSA infection. Black children were almost 1.5 times as likely as white children to have CA-MRSA infections (aOR 95% CI 1.44,1.75, p < 0.0001); this finding persisted at the block group level (p < 0.001) along with household crowding (p < 0.001). The youngest category of age (< 4 years) also had increased risk for CA-MRSA (aOR 1.65, 95%CI 1.48, 1.83, p < 0.0001). CA-MRSA encompasses larger areas with higher SIRs compared to non-resistant forms and were found in block groups with higher proportion of blacks (r = 0.517, p < 0.001), younger age (r = 0.137, p < 0.001), and crowding (r = 0.320, p < 0.001). CONCLUSIONS: In the Atlanta MSA, the risk for CA-MRSA is associated with neighborhood-level measures of racial composition, household crowding, and age of children. Neighborhoods which have higher proportion of blacks, household crowding, and children < 4 years of age are at greatest risk. Understanding spatial relationship at a community level and how it relates to risks for antibiotic resistant infections is important to combat the growing numbers and spread of such infections like CA-MRSA.

Identifying County-Level All-Cause Mortality Rate Trajectories and Their Spatial Distribution Across the United States.

INTRODUCTION: All-cause mortality in the United States declined from 1935 through 2014, with a recent uptick in 2015. This national trend is composed of disparate local trends. We identified distinct groups of all-cause mortality rate trajectories by grouping US counties with similar temporal trajectories. METHODS: We used all-cause mortality rates in all US counties for 1999 through 2016 and estimated discrete mixture models by using county level mortality rates. Proc Traj in SAS was used to detect how county trajectories clustered into groups on the basis of similar intercepts, slopes, and higher order terms. Models with increasing numbers of groups were assessed on the basis of model fit. We created county-level maps of mortality trajectory groups by using ArcGIS. RESULTS: Eight unique trajectory groups were detected among 3,091 counties. The average mortality rate in the most favorable trajectory group declined 29.4%, from 592.3 deaths per 100,000 in 1999 to 418.2 in 2016. The least favorable mortality trajectory group declined 3.4% over the period, from 1,280.3 deaths per 100,000 to 1,236.9. We saw significant differences in the demographic and socioeconomic profiles and geographic patterns across the trajectory categories, with favorable mortality trajectories in the Northeast, Midwest, and on the West Coast and unfavorable trajectories concentrated in the Southeast. CONCLUSIONS: County-level disparities in all-cause mortality rates widened over the past 18 years. Further investigation of the determinants of the trajectory groupings and the geographic outliers identified by our research could inform interventions to achieve equitable distribution of county mortality rates.

State-Level Progress in Reducing the Black-White Infant Mortality Gap, United States, 1999-2013.

OBJECTIVES: To assess state-level progress on eliminating racial disparities in infant mortality. METHODS: Using linked infant birth-death files from 1999 to 2013, we calculated state-level 3-year rolling average infant mortality rates (IMRs) and Black-White IMR ratios. We also calculated percentage improvement and a projected year for achieving equality if current trend lines are sustained. RESULTS: We found substantial state-level variation in Black IMRs (range = 6.6-13.8) and Black-White rate ratios (1.5-2.7), and also in percentage relative improvement in IMR (range = 2.7% to 36.5% improvement) and in Black-White rate ratios (from 11.7% relative worsening to 24.0% improvement). Thirteen states achieved statistically significant reductions in Black-White IMR disparities. Eliminating the Black-White IMR gap would have saved 64 876 babies during these 15 years. Eighteen states would achieve IMR racial equality by the year 2050 if current trends are sustained. CONCLUSIONS: States are achieving varying levels of progress in reducing Black infant mortality and Black-White IMR disparities. Public Health Implications. Racial equality in infant survival is achievable, but will require shifting our focus to determinants of progress and strategies for success.

Adherence to combination antiretroviral treatment and clinical outcomes in a Medicaid sample of older HIV-infected adults.

The adherence threshold for combination antiretroviral therapy (cART) has historically been set at 95% or greater. We examined whether different levels of cART adherence (≥95% [optimal adherence], 90-94%, 80-89%, and <80%) were associated with different clinical outcomes (emergency department visits [ED visits] and duration of hospital admission) in a sample of older (50-64 years) persons living with HIV (PLWH). Medicaid data from 29 US states (n = 5177) were used for this study. cART adherence was measured and data regarding relevant covariates, such as race, sex, age, urbanicity, and comorbidity were obtained. Descriptive statistics were conducted to characterize study participants. We conducted univariate and multivariable regression analyses to evaluate the association between cART adherence and ED visits and duration of hospital admission while adjusting for covariates (race, sex, age, urbanicity, and comorbidity). Approximately 32% of all participants (n = 5177) reported optimal cART adherence (≥95%). After adjusting for covariates, only participants who reported <80% adherence were more likely to have an ED visit (adjusted odds ratio = 1.34, 95% CI = 1.08-1.48, p < .0001) and a longer duration of hospital admission (regression coefficient = 1.24, 95% CI = 0.53-1.96, p = .0007) when compared to participants who reported ≥95% adherence. There were no significant differences in likelihood of having an ED visit and longer duration of hospital admission between participants who reported ≥95% adherence and participants who reported 90-94% adherence and 80-89% adherence. Significant differences by covariates were observed. Adverse clinical outcomes were associated with low cART adherence (<80%) among older PLWH, though they did not differ between optimal and moderate cART adherence (90-94% and 80-89%). Although optimal cART adherence is an important goal, clinical outcomes in older PLWH may not differ between moderate and optimal cART adherence.

Individual and county level predictors of asthma related emergency department visits among children on Medicaid: A multilevel approach.

OBJECTIVE: Disparities in asthma outcomes are well documented in the United States. Interventions to promote equity in asthma outcomes could target factors at the individual and community levels. The objective of this analysis was to understand the effect of individual (race, gender, age, and preventive inhaler use) and county-level factors (demographic, socioeconomic, health care, air-quality) on asthma emergency department (ED) visits among Medicaid-enrolled children. This was a retrospective cohort study of Medicaid-enrolled children with asthma in 29 states in 2009. Multilevel regression models of asthma ED visits were constructed utilizing individual-level variables (race, gender, age, and preventive inhaler use) from the Medicaid enrollment file and county-level variables reflecting population and health system characteristics from the Area Resource File (ARF). County-level measures of air quality were obtained from Environmental Protection Agency (EPA) data. RESULTS: The primary modifiable risk factor at the individual level was found to be the ratio of long-term controller medications to total asthma medications. County-level factors accounted for roughly 6% of the variance in the asthma ED visit risk. Increasing county-level racial segregation (OR=1.04, 95% CI=1.01-1.08) was associated with increasing risk of asthma ED visits. Greater supply of pulmonary physicians at the county level (OR=0.81, 95% CI=0.68-0.97) was associated with a reduction in risk of asthma ED visits. CONCLUSIONS: At the patient care level, proper use of controller medications is the factor most amenable to intervention. There is also a societal imperative to address negative social determinants, such as residential segregation.

Perspective: Hope for Health Equity.

Times like these test the soul. We are now working for health equity in a time of overt, aggressive opposition. Yet, hope in the face of overwhelming obstacles is the force that has driven most of the world's progress toward equity and justice. Operationalizing real-world hope requires an affirmative vision, an expectation of success, broad coalitions taking action cohesively, and frequent measures of collective impact to drive rapid-cycle improvement.

Impact of Comorbidities Among Medicaid Enrollees With Chronic Obstructive Pulmonary Disease, United States, 2009.

INTRODUCTION: Multimorbidity, the presence of 2 or more chronic conditions, frequently affects people with chronic obstructive pulmonary disease (COPD). Many have high-cost, highly complex conditions that have a substantial impact on state Medicaid programs. We quantified the cost of Medicaid-insured patients with COPD co-diagnosed with other chronic disorders. METHODS: We used nationally representative Medicaid claims data to analyze the impact of comorbidities (other chronic conditions) on the disease burden, emergency department (ED) use, hospitalizations, and total health care costs among 291,978 adult COPD patients. We measured the prevalence of common conditions and their influence on COPD-related and non-COPD-related resource use by using the Elixhauser Comorbidity Index. Elixhauser comorbidity counts were clustered from 0 to 7 or more. We performed multivariable logistic regression to determine the odds of ED visits by Elixhauser scores adjusting for age, sex, race/ethnicity, and residence. RESULTS: Acute care, hospital bed days, and total Medicaid-reimbursed costs increased as the number of comorbidities increased. ED visits unrelated to COPD were more common than visits for COPD, especially in patients self-identified as black or African American (designated black). Hypertension, diabetes, affective disorders, hyperlipidemia, and asthma were the most prevalent comorbid disorders. Substance abuse, congestive heart failure, and asthma were commonly associated with ED visits for COPD. Female sex was associated with COPD-related and non-COPD-related ED visits. CONCLUSION: Comorbidities markedly increased health services use among people with COPD insured with Medicaid, although ED visits in this study were predominantly unrelated to COPD. Achieving excellence in clinical practice with optimal clinical and economic outcomes requires a whole-person approach to the patient and a multidisciplinary health care team.

Infant Deaths and Mortality from Gun Violence: Causal or Casual?

OBJECTIVE: Describe trends in non-Hispanic black infant mortality (IM) in the New York City (NYC) counties of Bronx, Kings, Queens, and Manhattan and correlations with gun-related assault mortality. METHODS: Linked Birth/Infant Death data (1999-2013) and Compressed Mortality data at ages 1 to ≥85 years (1999-2013). NYC and United States (US) Census data for income inequality and poverty. Pearson coefficients were used to describe correlations of IM with gun-related assault mortality and other causes of death. RESULTS: In NYC, the risk of non-Hispanic black IM in 2013 was 49% lower than in 1995 (rate ratio: 0.51; 95% CI: 0.43, 0.61). Yearly declines between 1999 and 2013 were significantly correlated with declines in gun-related assault mortality (correlation coefficient (r) = 0.70, p = 0.004), drug-related mortality (r = 0.59, p = 0.020), major heart disease and stroke (r = 0.85, p < 0.001), malignant neoplasms (r = 0.57, p = 0.026), diabetes mellitus (r = 0.63, p = 0.011), and pneumonia and influenza (r = 0.78, p < 0.001). There were no significant correlations of IM with chronic lower respiratory or liver disease, non-drug-related accidental deaths, and non-gun-related assault. Yearly IM (1995-2012) was inversely correlated with income share of the top 1% of the population (r = -0.66, p = 0.007). CONCLUSIONS: In NYC, non-Hispanic black IM declined significantly despite increasing income inequality and was strongly correlated with gun-related assault mortality and other major causes of death. These data are compatible with the hypothesis that activities related to overall population health, including those pertaining to gun-related homicide, may provide clues to reducing IM. Analytic epidemiological studies are needed to test these and other hypotheses formulated from these descriptive data.

Predictors of Mental Health Treatment Seeking and Engagement in a Community Mental Health Center.

Disparities in behavioral health treatment outcomes are multifactorial, but treatment engagement and dropout from treatment often contribute to unequal mental health outcomes in individuals with serious mental illnesses. Alcohol and other substance use disorders have been associated with poor treatment adherence and premature discontinuation of treatment, but few studies have examined these factors in a predominantly African American sample of individuals with serious mental illnesses. This study examined predictors of mental health treatment engagement and dropout in a sample of 90 African American individuals presenting for treatment at a community mental health treatment facility in Atlanta, Georgia. Having an alcohol use disorder was associated with being less likely to attend mental health follow up (OR 0.32, 95% CI 0.12-0.88). Among African American individuals with alcohol use disorders, specific, targeted interventions may be necessary to help reach individuals that are at extremely high risk of poor health and poor adherence to treatment.

Counties eliminating racial disparities in colorectal cancer mortality.

BACKGROUND: Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends. METHODS: The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county. RESULTS: Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns. CONCLUSIONS: County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society.

Race/Ethnicity and Health Care Communication: Does Patient-Provider Concordance Matter?

BACKGROUND: Although many minority patients would prefer a provider of their own race/ethnicity, the influence of this relationship on patient-provider communication remains unknown. This analysis examined the effect of patient-provider race/ethnicity concordance on patient-reported provider communication quality using data from the Medical Expenditure Panel Survey years 2002-2012. METHODS: Ordinary least squares regressions were executed on communication rating, measured by the Consumer Assessment of Health Providers and Systems. RESULTS: Only 13.8% of black, non-Hispanic patients reported their usual source of care provider matched their race/ethnicity, compared with 94.4% of white, non-Hispanic patients and 43.8% of Hispanic patients. Differences in communication ratings were driven by patient race, rather than provider race. Although black, non-Hispanic patients rate their communication significantly higher than their counterparts overall, there was no significant influence of patient-provider racial concordance on ratings of communication when controlling for other sociodemographic variables. CONCLUSIONS: Minorities may seek the services of minority providers, but they are not more satisfied with patient-provider communication experience than when in race-discordant provider arrangements.

Correlates of Combination Antiretroviral Adherence Among Recently Diagnosed Older HIV-Infected Adults Between 50 and 64 years.

Optimal adherence to combination antiretroviral therapy is essential to the health of older people living with HIV (PLWH), however, the literature on adherence and aging is limited. Using Medicaid data from 29 states (N = 5177), we explored correlates of optimal adherence among older PLWH. The prevalence of optimal adherence was low (32 %) in this study. Males were more adherent than females (APR = 1.11, 95 % CI 1.02-1.21, P = 0.0127); persons with three or more co-morbidities (APR = 0.67, 95 % CI 0.60-0.74, P < 0.001), two co-morbidities (APR = 0.86, 95 % CI 0.75-0.98, P = 0.0319) and one co-morbidity (APR = 0.82, 95 % CI 0.73-0.92, P = 0.0008) were less adherent than those without any co-morbidity; and residents of rural areas (APR = 0.90, 95 % CI 0.63-0.98, P = 0.0385) and small metropolitan areas (APR = 0.82, 95 % CI 0.72-0.94, P = 0.0032) were less adherent than residents of large metropolitan areas. There were no racial differences in optimal adherence. Targeted interventions that provide adherence support, case management, and peer navigation services may be of benefit in achieving optimal adherence in this population.

The association between combination antiretroviral adherence and AIDS-defining conditions at HIV diagnosis.

Combination antiretroviral therapy (cART) has changed the clinical course of HIV. AIDS-defining conditions (ADC) are suggestive of severe or advanced disease and are a leading cause of HIV-related hospitalizations and death among people living with HIV/AIDS (PLWHA) in the USA. Optimal adherence to cART can mitigate the impact of ADC and disease severity on the health and survivability of PLWHA. The objective of this study was to evaluate the association between ADC at HIV diagnosis and optimal adherence among PLWHA. Using data from the 2008 and 2009 Medicaid data from 29 states, we identified individuals, between 18 and 49 years, recently infected with HIV and with a cART prescription. Frequencies and descriptive statistics were conducted to characterize sample. Univariate and multivariable Poisson regression analyses were employed to evaluate the association optimal cART adherence (defined as ≥ 95% study days covered by cART) and ADC at HIV diagnosis (≥1 ADC) were assessed. Approximately 17% of respondents with ADC at HIV diagnosis reported optimal cART adherence. After adjusting for covariates, respondents with an ADC at HIV diagnosis were less likely to report optimal cART adherence (adjusted prevalence ratio (APR) = 0.64, 95% confidence intervals (CI), 0.54-0.75). Among the covariates, males (APR=1.10, 95% CI, 1.02-1.19) compared to females were significantly more likely to report optimal adherence while younger respondents, 18-29 years (APR=0.67, 95% CI, 0.57-0.77), 30-39 years (APR=0.86, 95% CI, 0.79-0.95) compared to older respondents were significantly less likely to report optimal adherence. PLWHA with ADC at HIV diagnosis are at risk of suboptimal cART adherence. Multiple adherence strategies that include healthcare providers, case managers, and peer navigators should be utilized to improve cART adherence and optimize health outcomes among PLWHA with ADC at HIV diagnosis. Targeted adherence programs and services are required to address suboptimal adherence in this population.

Paths to health equity: Local area variation in progress toward eliminating breast cancer mortality disparities, 1990-2009.

BACKGROUND: US breast cancer deaths have been declining since 1989, but African American women are still more likely than white women to die of breast cancer. Black/white disparities in breast cancer mortality rate ratios have actually been increasing. METHODS: Across 762 US counties with enough deaths to generate reliable rates, county-level, age-adjusted breast cancer mortality rates were examined for women who were 35 to 74 years old during the period of 1989-2010. Twenty-two years of mortality data generated twenty 3-year rolling average data points, each centered on a specific year from 1990 to 2009. Mixed linear models were used to group each county into 1 of 4 mutually exclusive trend patterns. The most recent 3-year average black breast cancer mortality rate for each county was also categorized as being worse or not worse than the breast cancer mortality rate for the total US population. RESULTS: More than half of the counties (54%) showed persistent, unchanging disparities. Roughly 1 in 4 (24%) had a divergent pattern of worsening black/white disparities. However, 10.5% of the counties sustained racial equality over the 20-year period, and 11.7% of the counties actually showed a converging pattern from high disparities to greater equality. Twenty-three counties had 2008-2010 black mortality rates better than the US average mortality rate. CONCLUSIONS: Disparities are not inevitable. Four US counties have sustained both optimal and equitable black outcomes as measured by both absolute (better than the US average) and relative benchmarks (equality in the local black/white rate ratio) for decades, and 6 counties have shown a path from disparities to health equity.

Adherence to highly active antiretroviral therapy impact on clinical and economic outcomes for Medicaid enrollees with human immunodeficiency virus and hepatitis C coinfection.

We examined the impact of antiretroviral treatment adherence among hepatitis C (HCV) coinfected human immunodeficiency virus (HIV) patients on survival and clinical outcomes. We analyzed Medicaid claims data from 14 southern states from 2005 to 2007, comparing survival and clinical outcomes and cost of treatment for HIV and HCV coinfected patients (N = 4115) at different levels of adherence to antiretroviral therapy (ART). More than one in five patients (20.5%) showed less than 50% adherence to antiretroviral treatment, but there were no racial/ethnic or gender disparities. Significant survival benefit was demonstrated at each incremental level of adherence to ART (one-year mortality ranging from 3.5% in the highest adherence group to 26.0% in the lowest). Low-adherence patients also had higher rates of hospitalization and emergency department visits. Relative to patients with high (>95%) ART adherence, those with less than 25% treatment adherence had fourfold greater risk of death (adjusted odds ratio 4.22 [95% CI: 3.03, 5.87]). Nondrug Medicaid expenditures were lower for high-adherence patients, but cost of medications drove total Medicaid expenditures higher for high-adherence patients. Cost per quality-adjusted life year (QALY) saved (relative to the <25% low-adherence group) ranged from $21,874 for increasing adherence to 25-50% to $37,229 for increasing adherence to 75-95%. Adherence to ART for patients with HIV and HCV coinfection is associated with lower adverse clinical outcomes at a Medicaid cost per QALY commensurate with other well-accepted treatment and prevention strategies. Further research is needed to identify interventions which can best achieve optimal ART adherence at a population scale.

Racial/Ethnic Disparities in Mental Health Service Utilization among Youth Participating in Negative Externalizing Behaviors.

PURPOSES: Racial/ethnic differences in mental health service utilization were examined among youth who reported participating in negative externalizing behaviors. METHODS: The study utilized merged data from the 2007-2010 National Survey on Drug Use and Health (NSDUH) to examine differences in utilization of inpatient or outpatient mental health services not related to substance or alcohol use by White, Black and Hispanic youth who reported engaging in negative externalizing behaviors ("acting out"). Differences in service utilization in these groups were assessed using logistic regression models. RESULTS: Race/ethnicity was a significant predictor of outpatient mental health service use. Black and Hispanic children were less likely to use outpatient services. Inpatient service use decreased with increasing income. Parental presence in the household increased the likelihood of outpatient service use for minorities. CONCLUSION: Racial/ethnic minority youth in the United States continue to use outpatient mental health services at lower rates. This may lead to high prevalence of untreated negative externalizing behaviors among minority adolescent groups and, in turn, lead to use of inpatient services from systems such as juvenile justice and foster care. Such severe treatment alternatives can be prevented if timely and culturally tailored outpatient intervention is provided.