The Association of Oncology Provider Density With Black-White Disparities in Cancer Mortality in US Counties.

BACKGROUND: Black-White racial disparities in cancer mortality are well-documented in the US. Given the estimated shortage of oncologists over the next decade, understanding how access to oncology care might influence cancer disparities is of considerable importance. We aim to examine the association between oncology provider density in a county and Black-White cancer mortality disparities. METHODS: An ecological study of 1048 US counties was performed. Oncology provider density was estimated using the 2013 National Plan and Provider Enumeration System data. Black:White cancer mortality ratio was calculated using 2014-2018 age-standardized cancer mortality rates from State Cancer Profiles. Linear regression with covariate adjustment was constructed to assess the association of provider density with (1) Black:White cancer mortality ratio, and (2) cancer mortality rates overall, and separately among Black and White persons. RESULTS: The mean Black:White cancer mortality ratio was 1.12, indicating that cancer mortality rate among Black persons was on average 12% higher than that among White persons. Oncology provider density was significantly associated with greater cancer mortality disparities: every 5 additional oncology providers per 100 000 in a county was associated with a .02 increase in the Black:White cancer mortality ratio (95% CI: .007 to .03); however, the unexpected finding may be explained by further analysis showing that the relationship between oncology provider density and cancer mortality was different by race group. Every 5 additional oncologists per 100 000 was associated with a 1.6 decrease per 100 000 in cancer mortality rates among White persons (95% CI: -3.0 to -.2), whereas oncology provider density was not associated with cancer mortality among Black persons. CONCLUSION: Greater oncology provider density was associated with significantly lower cancer mortality among White persons, but not among Black persons. Higher oncology provider density alone may not resolve cancer mortality disparities, thus attention to ensuring equitable care is critical.

Our study provides timely information to address the growing concern about the need to increase oncology supply and the impact it might have on racial disparities in cancer outcomes. This analysis of counties across the US is the first study to estimate the association of oncology provider density with Black-White racial disparities in cancer mortality. We show that having more oncology providers in a county is associated with significantly lower cancer mortality among the White population, but is not associated with cancer mortality among the Black population, thereby leading to a disparity. Our findings suggest that having more oncology providers alone may be insufficient to overcome existing disadvantages for Black patients to access and use high-quality cancer care. These findings have important implications for addressing racial disparities in cancer outcomes that are persistent and well-documented in the US.

Evaluating the Impact of the Prime Time Sister Circles® Intervention on Reducing Depressive Symptoms Among African American Women with Uncontrolled Hypertension.

BACKGROUND: The Prime Time Sister Circles®, a randomized controlled trial (PTSC-RCT), assessed the impact of a community-based peer support program on hypertension management among African American women 40-75 years of age. While the PTSC-RCT was designed to evaluate changes in blood pressure control, subsequent sub-analyses revealed a high proportion of self-reported depressive symptoms in our sample. Accordingly, we conducted an ancillary investigation of the PTSC intervention on depression to ascertain its impact on reduced depressive symptoms in the study population. METHOD: Depressive symptoms were measured using an adapted version of the Center for Epidemiologic Studies Depression Scale Revised (CES-D-10). We used unadjusted and adjusted fixed effect models. Data for this study came from the PTSC-RCT. We collected data between 2017 and 2018 in Washington, DC. We used a balanced analytical sample of 172 African American, English-speaking women between 40 to 75 years old with uncontrolled hypertension. INTERVENTION: The intervention group participated in a 2-h, peer-based support group once a week for 13 weeks. A trained PTSC facilitator facilitated sessions with experts who delivered content on various topics, including psychosocial wellness (e.g., stress, depressive symptoms, anxiety management, and self-esteem), physical health (e.g., hypertension, inflammation, and heart disease), physical activity, and healthy nutrition. RESULTS: Results from the fixed-effects models indicated that participants in the PTSC program exhibited a greater reduction in CES-D-10 score at three months (Coeff: -1.99, 95% CI: -3.49, -0.49) and at 15 months (Coeff: -2.38, 95% CI: -3.94, -0.83), as compared to those in the control group. CONCLUSIONS: Evidence suggests that the Prime Time Sister Circles® intervention reduced depressive symptoms among African American women with low socioeconomic status and hypertension. TRIAL REGISTRATION: NCT04371614.

The Economic Burden of Racial, Ethnic, and Educational Health Inequities in the US.

Importance: Health inequities exist for racial and ethnic minorities and persons with lower educational attainment due to differential exposure to economic, social, structural, and environmental health risks and limited access to health care. Objective: To estimate the economic burden of health inequities for racial and ethnic minority populations (American Indian and Alaska Native, Asian, Black, Latino, and Native Hawaiian and Other Pacific Islander) and adults 25 years and older with less than a 4-year college degree in the US. Outcomes include the sum of excess medical care expenditures, lost labor market productivity, and the value of excess premature death (younger than 78 years) by race and ethnicity and the highest level of educational attainment compared with health equity goals. Evidence Review: Analysis of 2016-2019 data from the Medical Expenditure Panel Survey (MEPS) and state-level Behavioral Risk Factor Surveillance System (BRFSS) and 2016-2018 mortality data from the National Vital Statistics System and 2018 IPUMS American Community Survey. There were 87 855 survey respondents to MEPS, 1 792 023 survey respondents to the BRFSS, and 8 416 203 death records from the National Vital Statistics System. Findings: In 2018, the estimated economic burden of racial and ethnic health inequities was $421 billion (using MEPS) or $451 billion (using BRFSS data) and the estimated burden of education-related health inequities was $940 billion (using MEPS) or $978 billion (using BRFSS). Most of the economic burden was attributable to the poor health of the Black population; however, the burden attributable to American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander populations was disproportionately greater than their share of the population. Most of the education-related economic burden was incurred by adults with a high school diploma or General Educational Development equivalency credential. However, adults with less than a high school diploma accounted for a disproportionate share of the burden. Although they make up only 9% of the population, they bore 26% of the costs. Conclusions and Relevance: The economic burden of racial and ethnic and educational health inequities is unacceptably high. Federal, state, and local policy makers should continue to invest resources to develop research, policies, and practices to eliminate health inequities in the US.

Value of Triage Treatment Strategies to Distribute Hepatitis C Direct-Acting Antiviral Agents in an Integrated Healthcare System: A Cost-Effectiveness Analysis.

OBJECTIVES: This study aimed to assess the cost-effectiveness of fibrosis-based direct-acting antiviral treatment policies for patients with chronic hepatitis C virus at the Kaiser Permanente Mid-Atlantic States health system. METHODS: We used a Markov model to compare the lifetime costs and effects of treating patients with chronic hepatitis C virus at different stages of disease severity, or all stages simultaneously, based on a fibrosis score from the US healthcare sector perspective and societal perspective. The initial distribution of patients across fibrosis scores, the effectiveness of direct-acting antiviral therapy, and follow-up and monitoring protocols were specific to the Kaiser Permanente Mid-Atlantic States health system. Direct and indirect costs, transition probabilities, and utilities were derived from the literature. Deterministic and probabilistic sensitivity analyses were performed to assess the robustness of our results. RESULTS: The "Treat All" option was dominant from both the societal and healthcare sector perspectives. The conclusion was robust in deterministic sensitivity analysis. The range of incremental costs between the less restrictive policies was small-the difference between the "Treat F1+" and the "Treat All" option was only $111 per person. Probabilistic sensitivity analyses showed, at both the $100 000/quality-adjusted life-year and $150 000/quality-adjusted life-year thresholds, there was a 70% chance that the "Treat All" option was more cost-effective than the "Treat F1+" option. CONCLUSIONS: We found that expanded treatment access is cost-effective and, in many cases, cost saving. Although our results are primarily applicable to a regional integrated healthcare system, it offers some direction to any healthcare setting faced with resource constraints in the face of highly priced drugs.

The American Heart Association 2030 Impact Goal: A Presidential Advisory From the American Heart Association.

Each decade, the American Heart Association (AHA) develops an Impact Goal to guide its overall strategic direction and investments in its research, quality improvement, advocacy, and public health programs. Guided by the AHA's new Mission Statement, to be a relentless force for a world of longer, healthier lives, the 2030 Impact Goal is anchored in an understanding that to achieve cardiovascular health for all, the AHA must include a broader vision of health and well-being and emphasize health equity. In the next decade, by 2030, the AHA will strive to equitably increase healthy life expectancy beyond current projections, with global and local collaborators, from 66 years of age to at least 68 years of age across the United States and from 64 years of age to at least 67 years of age worldwide. The AHA commits to developing additional targets for equity and well-being to accompany this overarching Impact Goal. To attain the 2030 Impact Goal, we recommend a thoughtful evaluation of interventions available to the public, patients, providers, healthcare delivery systems, communities, policy makers, and legislators. This presidential advisory summarizes the task force's main considerations in determining the 2030 Impact Goal and the metrics to monitor progress. It describes the aspiration that these goals will be achieved by working with a diverse community of volunteers, patients, scientists, healthcare professionals, and partner organizations needed to ensure success.

Supplemental nutrition assistance program 2009 expansion and cardiometabolic markers among low-income adults.

A 2009 Supplemental Nutrition Assistance Program (SNAP) policy change that expanded eligibility and increased benefit amounts has been associated with reduced food insecurity. This study tests the hypothesis that the SNAP policy change corresponds with improved stress- and nutrition-sensitive cardiometabolic markers. This study included non-pregnant participants aged 18-59 with annual family incomes ≤185% of the federal poverty guideline from the repeated cross-sectional NHANES study. Those living in SNAP eligible households (income ≤130% of the poverty guideline) were compared to those who were likely non-eligible (income 131%-≤185%). Difference-in-differences analyses compared hemoglobin A1c (%), CRP (mg/dL), total cholesterol (mg/dL), LDL (mg/dL) and waist circumference (cm) across groups before (2007-2008) and after (2009-2010) the SNAP policy change. Sampling weights were applied. Adjusting for demographic, socioeconomic, household and health factors, there were statistically significant difference-in-differences estimates for hemoglobin A1c (p = 0.003, n = 3723) and total cholesterol (p = 0.028, n = 3710). SNAP eligible adults had no difference in hemoglobin A1c after the policy change and, among those less than 40 years of age, 5 mg/dL lower total cholesterol levels whereas likely non-SNAP eligible adults had 0.14% higher hemoglobin A1c and no difference in total cholesterol after the policy change. The 2009 SNAP expansion was associated with improved nutrition-sensitive cardiometabolic markers in SNAP-eligible adults. This study found less of an upward trend in hemoglobin A1c levels for young and middle aged adults and decreased total cholesterol for young adults. These results highlight the potential role of SNAP to prevent costly chronic conditions among low-income U.S. adults.

Characteristics associated with time-to-treatment initiation for chronic Hepatitis C with new direct acting antivirals.

BACKGROUND: Interferon-free direct-acting antivirals (DAAs) were introduced in 2013 and have transformed the therapeutic landscape for chronic Hepatitis C (HCV). Although treatment is recommended for almost all persons infected with HCV, clinical and psychosocial factors may affect treatment initiation. METHODS: We conducted an observational cohort study of Kaiser Permanente Mid-Atlantic States members with prevalent or incident HCV infection identified from November 2013 through May 2016 to identify predictors of DAA initiation. We used Cox regression with time-dependent covariates to compare time to treatment by clinical, demographic and societal factors. RESULTS: Of 2962 patients eligible for DAA therapy, 33% (n = 980) initiated treatment over the study period. The majority of patients (97%) were persistent with therapy and most (95%) tested for sustained virologic response (SVR) achieved cure. We found no effect of race, insurance type or fibrosis stage on treatment initiation. We observed that patients aged 41-60 years (aHR: 2.014, 95% CI: 1.12, 3.60) and 61-80 years (aHR: 2.08, 95% CI: 1.15-3.75) had higher treatment rates compared to younger patients. Incident cases were more likely to be treated than prevalent cases (aHR: 3.05, 95% CI: 2.40-3.89). Patients with a history of substance use disorder (SUD) were less likely (aHR: 0.805, 95% CI: 0.680, 0.953) to be treated. CONCLUSIONS: In the first 3 years of DAA availability, one-third of patients with HCV initiated therapy, and almost all were persistent and achieved cure. While curative, DAAs remain highly priced. Triaging for non-clinical reasons or perceptions about patients will stall our ability to eradicate HCV.

Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors.

BACKGROUND: Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics. METHODS: Six-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle. RESULTS: Counties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02-1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01-1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02-1.03) or Native American (IRR = 1.02, 95% CI: 1.01-1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01-1.05) and deaths (IRR = 1.04, 95% CI: 1.01-1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01-1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94-0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04-1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01-1.07) were associated with more deaths. CONCLUSIONS: These results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events.

Study protocol of a randomized controlled trial evaluating the Prime Time Sister Circles (PTSC) program's impact on hypertension among midlife African American women.

BACKGROUND: The Prime-Time Sister Circles® (PTSC) program is a multifaceted, community-based peer support intervention targeting African American women who are 40 to 75 years of age. It aims to reduce hypertension disparities observed among African American women by promoting adherence to antihypertensive therapies, including lifestyle modification and therapeutic regimens. METHODS: The PTSC randomized controlled trial will evaluate the effectiveness of the PTSC Program on improved blood pressure control, healthcare utilization attributed to cardiovascular events, and healthcare costs. The study began in 2016 and will end in 2022. African American women who are 40-75 years old, have been diagnosed with hypertension, reside in Washington, D.C. or Baltimore, Maryland, and receive their care from Unity Health Care, a federally qualified health center in Washington, D.C., or Baltimore Medical System, a federally qualified health center in Baltimore, Maryland, are eligible to participate. Those randomized to the intervention group participate in the PTSC Program, which spans 13 weeks and comprises facilitator-led discussions, didactic training about hypertension management, and peer-based problem-solving concerning CVD risk factors and their amelioration. Blood pressure, weight, body mass index, waist circumference, self-reported adherence, physical activity, dietary practices, stress, and healthcare utilization data are collected at baseline, 13 weeks (end of the intervention), 9 months (months post-intervention), and 15 months (one year after the intervention). Healthcare costs will be computed at the end of the study. The study's design is reported in the present manuscript, wherein we employed the SPIRIT checklist to guide its construction. DISCUSSION: Disparities in hypertension prevalence and management observed among mid-life African American women exist as a result of a confluence of structural determinants of health. Consequently, there is a need to develop, implement, and evaluate culturally appropriate and relevant interventions that are tailored to their lived experiences. The PTSC Trial aims to assess the impact of the program on participants' cardiovascular, psychosocial, and cost outcomes. Its results have implications for advancing the science of designing and implementing culturally relevant interventions for African American women. TRIAL REGISTRATION: Unique identifier: NCT04371614 . Retrospectively registered on April 30, 2020.

Internet Access, Social Risk Factors, and Web-Based Social Support Seeking Behavior: Assessing Correlates of the "Digital Divide" Across Neighborhoods in The State of Maryland.

We aimed to empirically measure the degree to which there is a "digital divide" in terms of access to the internet at the small-area community level within the State of Maryland and the City of Baltimore and to assess the relationship and association of this divide with community-level SDOH risk factors, community-based social service agency location, and web-mediated support service seeking behavior. To assess the socio-economic characteristics of the neighborhoods across the state, we calculated the Area Deprivation Index (ADI) using the U.S. Census, American Community Survey (5-year estimates) of 2017. To assess the digital divide, at the community level, we used the Federal Communications Commission (FCC) data on the number of residential fixed Internet access service connections. We assessed the availability of and web-based access to community-based social service agencies using data provided by the "Aunt Bertha" information platform. We performed community and regional level descriptive and special analyses for ADI social risk factors, connectivity, and both the availability of and web-based searches for community-based social services. To help assess potential neighborhood linked factors associated with the rates of web-based social services searches by individuals in need, we applied logistic regression using generalized estimating equation modeling. Baltimore City contained more disadvantaged neighborhoods compared to other areas in Maryland. In Baltimore City, 20.3% of neighborhoods (defined by census block groups) were disadvantaged with ADI at the 90th percentile while only 6.6% of block groups across Maryland were in this disadvantaged category. Across the State, more than half of all census tracts had 801-1000 households (per 1000 households) with internet subscription. In contrast, in Baltimore City about half of all census tracts had only 401-600 of the households (per 1000 households) with internet subscriptions. Most block groups in Maryland and Baltimore City lacked access to social services facilities (61% of block groups at the 90th percentile of disadvantage in Maryland and 61.3% of block groups at the 90th percentile of disadvantage in Baltimore City). After adjusting for other variables, a 1% increase in the ADI measure of social disadvantage, resulting in a 1.7% increase in the number of individuals seeking social services. While more work is needed, our findings support the premise that the digital divide is closely associated with other SDOH factors. The policymakers must propose policies to address the digital divide on a national level and also in disadvantaged communities experiencing the digital divide in addition to other SDOH challenges.

Geographic disparities in COVID-19 infections and deaths: The role of transportation.

The US government imposed two travel restriction policies to prevent the spread of the COVID-19 but may have funneled asymptomatic air travelers to selected major airports and transportation hubs. Using the most recent JHU COVID-19 database, American Community Survey, Airport and Amtrak data form Bureau of Transportation Statistics from 3132 US counties we ran negative binomial regressions and Cox regression models to explore the associations between COVID-19 cases and death rates and proximity to airports, train stations, and public transportation. Counties within 25 miles of an airport had 1.392 times the rate of COVID-19 cases and 1.545 times the rate of COVID-19 deaths in comparison to counties that are more than 50 miles from an airport. More effective policies to detect and isolate infected travelers are needed. Policymakers and officials in transportation and public health should collaborate to promulgate policies and procedures to protect travelers and transportation workers from COVID-19.

Coping, Discrimination, and Physical Health Conditions Among Predominantly Poor, Urban African Americans: Implications for Community-Level Health Services.

African Americans and ethnic minorities experience racial discrimination in a variety of settings. Racial discrimination is a potent stressor that has been linked to psychosocial stress and poor physical health. To cope with discriminatory experiences and daily life event stressors, African Americans frequently use the concept of John Henryism (a high effort coping strategy with prolonged exposure to stress). This cross-sectional analysis explored the relationship between racism/discrimination, John Henryism, and health problems in a predominately African American sample. Data were collected through health care screenings for hypertension, diabetes, and obesity and a self-report survey to assess experiences of discrimination and use of John Henryism. Logistic and linear regression models were used to assess the relationship between the John Henryism score, racism/discrimination score, and health problems among 352 participants. John Henryism was associated with a decrease in systolic blood pressure (b = - 12.50, 95% CI = - 23.05, - 1.95) among men, after adjusting for experiences of racism/discrimination and demographic characteristics. Experiences of racism/discrimination were associated with an increase in systolic blood pressure (b = 11.23, 95% CI = 0.38, 22.09) among men, after adjusting for John Henryism and demographic characteristics. Among women, there was no association found between John Henryism and experiences of racism/discrimination with systolic blood pressure. No association was found between John Henryism and experiences of racism/discrimination with being overweight/obese in women nor men. The study found that John Henryism was positively associated with the health of men, while experiences of racism/discrimination were negatively associated with their health. Limitations of the study are discussed, and recommendations are made to guide future research exploring the concept of John Henryism as a relevant factor between stress, racial discrimination and poor health.

Measuring Nonprofit Hospitals' Provision of Charity Care Using IRS and CMS Data.

EXECUTIVE SUMMARY: We explore whether nonprofit hospitals report similar amounts of charity care to the Internal Revenue Service (IRS) and Centers for Medicare & Medicaid Services (CMS). We use nonprofit hospitals' financial reports to the IRS and the CMS Medicare costs report for 2011 and 2012. In 2012, hospitals reported spending 7.6% more in charity care to the IRS than to CMS: 2.54% of revenues ($5.74 million per hospital) to the IRS versus 2.36% ($5.16 million) to CMS. While the averages are close, there are wide discrepancies for individual hospitals. For example, despite efforts for standardization, 80% of hospitals reported charity care to the CMS that was 40% greater in absolute value than what they reported to the IRS, and only 10% of hospitals reported charity care to CMS that was within 20% of what they reported to the IRS. Our findings suggest that individual hospitals routinely report different amounts of charity care to the IRS and CMS, yet we find relatively few hospital or market characteristics that may explain these differences.

Racial and Ethnic Composition of Hospitals' Service Areas and the Likelihood of Being Penalized for Excess Readmissions by the Medicare Program.

BACKGROUND: The Hospital Readmission Reduction Program (HRRP) disproportionately penalizes hospitals serving minority communities. The National Academy of Science, Engineering, and Medicine has recommended that the Centers for Medicare and Medicaid Services (CMS) consider adjusting for social risk factors in their risk adjustment methodology. This study examines the association between the racial and ethnic composition of a hospital market and the impact of other social risk factors on the probability of a hospital being penalized under the HRRP. RESEARCH METHODS AND DATA: This study analyzes data from CMS, the American Hospital Association, and the American Community Survey for 3168 hospitals from 2013 to 2017. We used logistic regression models to estimate the association between the penalty status under HRRP and the racial and ethnic composition of a hospital market, and explored whether this association was moderated by other social risk factors. RESULTS: Our results indicate that the probability of being penalized increases with the percentage of black and Asian residents in the hospital service area (HSA) and decreased with the percentage of Hispanic residents in the HSA. This association was reduced and became statistically insignificant when we controlled for other social risk factors. The strongest predictors of penalty status were the hospital's share of Medicaid patients and the percent of persons without a high school diploma in the HSA. CONCLUSIONS: By incorporating relevant social risk factors in the reimbursement methodology, CMS could mitigate the negative effects of HRRP on hospitals serving minority communities.

The Effect of Doctor-Consumer Interaction on Social Media on Consumers' Health Behaviors: Cross-Sectional Study.

BACKGROUND: Both doctors and consumers have engaged in using social media for health purposes. Social media has changed traditional one-to-one communication between doctors and patients to many-to-many communication between doctors and consumers. However, little is known about the effect of doctor-consumer interaction on consumers' health behaviors. OBJECTIVE: The aim of this study was to investigate how doctor-consumer interaction in social media affects consumers' health behaviors. METHODS: On the basis of professional-client interaction theory and social cognitive theory, we propose that doctor-consumer interaction can be divided into instrumental interaction and affective interaction. These two types of interactions influence consumers' health behaviors through declarative knowledge (DK), self-efficacy (SE), and outcome expectancy (OE). To validate our proposed research model, we employed the survey method and developed corresponding measurement instruments for constructs in our research model. A total of 352 valid answers were collected, and partial least square was performed to analyze the data. RESULTS: Instrumental doctor-consumer interaction was found to influence consumers' DK (t294=5.763, P<.001), SE (t294=4.891, P<.001), and OE (t294=7.554, P<.001) significantly, whereas affective doctor-consumer interaction also impacted consumers' DK (t294=4.025, P<.001), SE (t294=4.775, P<.001), and OE (t294=4.855, P<.001). Meanwhile, consumers' DK (t294=3.838, P<.001), SE (t294=3.824, P<.001), and OE (t294=2.985, P<.01) all significantly affected consumers' health behaviors. Our mediation analysis showed that consumers' DK, SE, and OE partially mediated the effect of instrumental interaction on health behaviors, whereas the three mediators fully mediated the effect of affective interaction on health behaviors. CONCLUSIONS: Compared with many intentional intervention programs, doctor-consumer interaction can be treated as a natural cost-effective intervention to promote consumers' health behaviors. Meanwhile, both instrumental and affective interaction should be highlighted for the best interaction results. DK, SE, and OE are working mechanisms of doctor-consumer interaction.

A Fresh Perspective on a Familiar Problem: Examining Disparities in Knee Osteoarthritis Using a Markov Model.

BACKGROUND: Disparities in the presentation of knee osteoarthritis (OA) and in the utilization of treatment across sex, racial, and ethnic groups in the United States are well documented. OBJECTIVES: We used a Markov model to calculate lifetime costs of knee OA treatment. We then used the model results to compute costs of disparities in treatment by race, ethnicity, sex, and socioeconomic status. RESEARCH DESIGN: We used the literature to construct a Markov Model of knee OA and publicly available data to create the model parameters and patient populations of interest. An expert panel of physicians, who treated a large number of patients with knee OA, constructed treatment pathways. Direct costs were based on the literature and indirect costs were derived from the Medical Expenditure Panel Survey. RESULTS: We found that failing to obtain effective treatment increased costs and limited benefits for all groups. Delaying treatment imposed a greater cost across all groups and decreased benefits. Lost income because of lower labor market productivity comprised a substantial proportion of the lifetime costs of knee OA. Population simulations demonstrated that as the diversity of the US population increases, the societal costs of racial and ethnic disparities in treatment utilization for knee OA will increase. CONCLUSIONS: Our results show that disparities in treatment of knee OA are costly. All stakeholders involved in treatment decisions for knee OA patients should consider costs associated with delaying and forgoing treatment, especially for disadvantaged populations. Such decisions may lead to higher costs and worse health outcomes.

The Moderating Role of Gender in the Relationship Between Tobacco Outlet Exposure and Tobacco Use Among African American Young Adults.

Tobacco outlet exposure is a correlate of tobacco use with potential differences by gender that warrant attention. The aim of this study is to explore the moderating role of gender in the relationship between tobacco outlet exposure and past month tobacco use among African American young adults 21 to 24 years old. This cross-sectional study (n = 283) used geospatial methods to determine the number of tobacco outlets within walking distance (i.e., a quarter mile) of participants' homes and distance to the nearest outlet. Logistic regression models were used to test interactions between gender and tobacco outlet exposure (i.e., density and proximity). Tobacco outlets were classified based on whether or not they were licensed to sell tobacco only (TO outlets) or tobacco and alcohol (TA outlets). Neither density nor proximity was associated with past month tobacco use in the pooled models. However, gender modified the relationship between TO outlet density and tobacco use, and this relationship was significant only among women (OR = 1.02; p < 0.01; adjusted OR = 1.01; p < 0.05). This study underscores the importance of reducing tobacco outlet density in residential neighborhoods, especially TO outlets, as well as highlights potential gender differences in the relationship between tobacco outlet density and tobacco use.

Incremental Cost of Emergency Versus Elective Surgery.

OBJECTIVE: To determine hospital costs and the adjusted risk of death associated with emergent versus elective surgery. BACKGROUND: Emergency surgery has a higher cost and worse outcomes compared with elective surgery. However, no national estimates of the excess burden of emergency surgery exist. METHODS: Nationwide Inpatient Sample (NIS) data from 2001 to 2010 were analyzed. Patients aged 18 years or older who underwent abdominal aortic aneurysm repair, coronary artery bypass graft, or colon resection for neoplasm were included. Using generalized linear models with propensity scores, cost differences for emergent versus elective admission were calculated for each procedure. Multivariable logistic regression was performed to investigate the adjusted odds of mortality comparing elective and emergent cases. Discharge-level weights were applied to analyses. RESULTS: A total of 621,925 patients, representing a weighted population of 3,057,443, were included. The adjusted mean cost difference for emergent versus elective care was $8741.22 (30% increase) for abdominal aortic aneurysm repair, $5309.78 (17% increase) for coronary artery bypass graft, and $7813.53 (53% increase) for colon resection. If 10% of the weighted estimates of emergency procedures had been performed electively, the cost benefit would have been nearly $1 billion, at $996,169,160 (95% confidence interval [CI], $985,505,565-$1,006,834,104). Elective surgery patients had significantly lower adjusted odds of mortality for all procedures. CONCLUSIONS: Even a modest reduction in the proportion of emergent procedures for 3 conditions is estimated to save nearly $1 billion over 10 years. Preventing emergency surgery through improved care coordination and screening offers a tremendous opportunity to save lives and decrease costs.