Medicaid Expansion Increases Access for Rural and Impoverished Patients with Pancreatic Ductal Adenocarcinoma in Southern States.

INTRODUCTION: Medicaid expansion (ME) impacted patients when assessed at a national level. However, of the 32 states in which Medicaid expansion occurred, only 3 were Southern states. Whether results apply to Southern states that share similar geopolitical perspectives remains elusive. We aimed to assess the impact of ME on pancreatic ductal adenocarcinoma (PDAC) treatment in eight Southern states in the USA. PATIENTS AND METHODS: We identified uninsured or Medicaid patients (age 40-64 years) diagnosed with PDAC between 2011 and 2018 in Southern states from the North American Association of Central Cancer Registries-Cancer in North America (NAACCR-CiNA) research dataset. Medicaid-expanded states (MES; Louisiana, Kentucky, and Arkansas) were compared with non-MES (NMES; Tennessee, Alabama, Mississippi, Texas, and Oklahoma) using multivariate logistic regression. P < 0.05 was considered statistically significant. RESULTS: Among 3036 patients, MES significantly increased odds of Medicaid insurance by 36%, and increased proportions of insured Black patients by 3.7%, rural patients by 3.8%, and impoverished patients by 18.4%. After adjusting for age, race, rural-urban status, poverty status, and summary stage, the odds of receiving radiation therapy decreased by 26% for each year of expansion in expanded states (P = 0.01). Last, ME did not result in a significant difference between MES and NMES in diagnosing early stage disease (P = 0.98) nor in receipt of chemotherapy or surgery (P = 0.23 and P = 0.63, respectively). CONCLUSIONS: ME in Southern states increased insurance access to traditionally underserved groups. Interestingly, ME decreased the odds of receiving radiation therapy yearly and had no significant impact on receipt of chemotherapy or surgery.

Impact of Medicaid Expansion on Breast Cancer Diagnosis and Treatment in Southern States.

BACKGROUND: Medicaid expansion impacted patients when assessed at a national level. However, of the 32 states that expanded Medicaid, only three were Southern states. Whether results apply to Southern states that share similar geopolitical perspectives remains elusive. We aimed to assess the impact of Medicaid expansion on breast cancer diagnosis and treatment in 8 Southern states in the US. STUDY DESIGN: We identified uninsured or Medicaid patients (age 40 to 64 years) diagnosed with invasive breast cancer from 2011 to 2018 in Southern states from the North American Association of Central Cancer Registries-Cancer in North America Research Dataset. Medicaid-expanded states ([MES], Louisiana, Kentucky, Arkansas) were compared with non-MES ([NMES], Tennessee, Alabama, Mississippi, Texas, Oklahoma) using multivariate logistic regression and differences-in-differences analyses during pre- and postexpansion periods; p < 0.05 was considered statistically significant. RESULTS: Among 21,974 patients, patients in MES had increased odds of Medicaid insurance by 43% (odds ratio 1.43, p < 0.01) and decreased odds of distant-stage disease by 7% (odds ratio 0.93, p = 0.03). After Medicaid expansion, Medicaid patients increased by 10.6% in MES (Arkansas, Kentucky), in contrast to a 1.3% decrease in NMES (differences-in-differences 11.9%, p < 0. 0001, adjusting for age, race/ethnicity, rural-urban status, and poverty status). MES (Arkansas, Kentucky) had 2.3% fewer patients diagnosed with distant-stage disease compared with a 0.5% increase in NMES (differences-in-differences 2.8%, p = 0.01, after adjustment). Patients diagnosed in MES had higher odds of receiving treatment (odds ratio 2.27, p = 0.03). CONCLUSIONS: Unlike NMES, MES experienced increased Medicaid insured, increased treatment, and decreased distant-stage disease at diagnosis. Medicaid expansion in the South leads to earlier and more comprehensive treatment of breast cancer.

Distance to radiation therapy facility influences surgery type among older women with early-stage breast cancer.

BACKGROUND: Breast-conserving surgery plus radiation (BCT) yields equivalent or better survival than mastectomy for early-stage breast cancer (ESBC) women. However, nationwide mastectomy trends increased in recent decades, attracting studies on underlying causes. Prior research identified that long distance to the radiation treatment facility (RTF) was associated with mastectomy. Still, it is unclear whether such association applies to young and old ESBC women comparably. We sought to delineate such impacts by age. METHODS: Women diagnosed with stages 0-II breast cancer in 2013-2017 receiving either BCT or mastectomy were identified from the Louisiana Tumor Registry. We assessed the association of surgery (mastectomy vs. BCT) with the distance to the nearest or nearest accessible RTFs using multivariable logistic regression adjusting the socio-demographic and tumor characteristics. The nearest accessible RTF was determined based on patients' health insurance. For Medicaid, uninsured, and unknown insurance patients, the nearest accessible RTF is the nearest RTF owned by the government. The interaction effect of age and distance was evaluated as well. RESULTS: Of 11,604 patients, 46.7% received mastectomy. Compared with distance ≤5 miles to the nearest RTF, those with distance ≥40 miles or 15-40 miles had higher odds of mastectomy (adjusted (adj) OR = 1.39, 95% CI = 1.07-1.82; adj OR = 1.17, 95% CI = 1.02-1.34). To the nearest accessible RTF, the adj ORs were 1.25 (95% CI = 1.03-1.51) and 1.19 (95% CI = 1.04-1.35), respectively. Age-stratified analysis showed the significant association (p < 0.05) only presented among women aged ≥65, but not those aged <65 years. CONCLUSION: Distance to the nearest or nearest accessible RTF influences the surgery choice, especially among women in Louisiana ≥65 years with ESBC. Further understanding of factors leading to the decision for mastectomy in this age group is needed.

Mediators of weight change in underserved patients with obesity: exploratory analyses from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) cluster-randomized trial.

BACKGROUND: Intensive lifestyle interventions (ILIs) stimulate weight loss in underserved patients with obesity, but the mediators of weight change are unknown. OBJECTIVES: We aimed to identify the mediators of weight change during an ILI compared with usual care (UC) in underserved patients with obesity. METHODS: The PROPEL (Promoting Successful Weight Loss in Primary Care in Louisiana) trial randomly assigned 18 clinics (n = 803) to either an ILI or UC for 24 mo. The ILI group received an intensive lifestyle program; the UC group had routine care. Body weight was measured; further, eating behaviors (restraint, disinhibition), dietary intake (percentage fat intake, fruit and vegetable intake), physical activity, and weight- and health-related quality of life constructs were measured through questionnaires. Mediation analyses assessed whether questionnaire variables explained between-group variations in weight change during 2 periods: baseline to month 12 (n = 779) and month 12 to month 24 (n = 767). RESULTS: The ILI induced greater weight loss at month 12 compared with UC (between-group difference: -7.19 kg; 95% CI: -8.43, -6.07 kg). Improvements in disinhibition (-0.33 kg; 95% CI: -0.55, -0.10 kg), percentage fat intake (-0.25 kg; 95% CI: -0.50, -0.01 kg), physical activity (-0.26 kg; 95% CI: -0.41, -0.09 kg), and subjective fatigue (-0.28 kg; 95% CI: -0.46, -0.10 kg) at month 6 during the ILI partially explained this between-group difference. Greater weight loss occurred in the ILI at month 24, yet the ILI group gained 2.24 kg (95% CI: 1.32, 3.26 kg) compared with UC from month 12 to month 24. Change in fruit and vegetable intake (0.13 kg; 95% CI: 0.05, 0.21 kg) partially explained this response, and no variables attenuated the weight regain of the ILI group. CONCLUSIONS: In an underserved sample, weight change induced by an ILI compared with UC was mediated by several psychological and behavioral variables. These findings could help refine weight management regimens in underserved patients with obesity.This trial was registered at clinicaltrials.gov as NCT02561221.

Use of Geographic Information System Technology to Evaluate Health Disparities in Smoking Cessation Class Accessibility for Patients in Louisiana Public Hospitals.

Research has shown cigarette smoking is a major risk factors for many type of cancer or cancer prognosis. Tobacco related health disparities were addressed continually in cancer screening, diagnosis, treatment, prevention and control. The present study evaluated the health disparities in attendance of smoking cessation counseling classes for 4,826 patients scheduled to attend between 2005 and 2007. Of 3,781 (78.4%) patients with records to calculate the distance from their home domicile to counseling sites using Geographic Information System technology, 1,435 (38%) of smokers who attended counseling had shorter travel distances to counseling sites (11.6 miles, SD = 11.29) compared to non-attendees (13.4 miles, SD = 16.72). When the travel distance was >20 miles, the estimated odds of attending decreased with greater travel distance. Smokers who actually attended were more likely to be older, female, White, living in urban areas, and receiving free healthcare. After controlling for other socio-demographic factors, shorter distances were associated with greater class attendance, and individuals more likely to attend included those that lived closer to the counseling site and in urban settings, were female, White, commercially insured, and older than their counterparts. These findings have the potential to provide important insights for reducing health disparities for cancer prevention and control, and to improve shared decision making between providers and smokers.

Quantifying Mediators of Racial Disparities in Knee Osteoarthritis Outcome Scores: A Cross-Sectional Analysis.

Studies on symptomatic osteoarthritis suggest that Black patients report worse pain and symptoms compared with White patients with osteoarthritis. In this study, we aimed to quantify the relationship among variables such as overall health and socioeconomic status that may contribute to disparities in patient-reported outcomes. METHODS: A total of 223 patients were enrolled. A mediation analysis was used to evaluate cross-sectional associations between race and the Knee injury and Osteoarthritis Outcome Score (KOOS) questionnaire, which was administered to patients prior to undergoing primary total knee arthroplasty. RESULTS: Black patients had worse KOOS pain, symptoms, and activities of daily living subscale scores than White patients. In our cohort, Black patients were younger, more likely to be female, and more likely to report lower educational status. We identified age, sex, Charlson Comorbidity Index, and education as partial mediators of racial disparities in KOOS subscale scores. Insurance status, deformity, radiographic (Kellgren-Lawrence) grade, C-reactive protein level, marital status, body mass index, and income did not show mediating effects. We found that, if age and sex were equal in both cohorts, the racial disparity in KOOS symptom scores would be reduced by 20.7% and 9.1%, respectively (95% confidence intervals [CIs], -5.1% to 47% and -5.5% to 26.3%). For KOOS pain scores, age and education level explained 18.9% and 5.1% of the racial disparity (95% CIs, -0.6% to 37% and -10.8% to 22.9%). Finally, for KOOS activities of daily living scores, education level explained 3.2% of the disparity (95% CI, -19.4% to 26.6%). CONCLUSIONS: No single factor in our study completely explained the racial disparity in KOOS scores, but our findings did suggest that several factors can combine to mediate this disparity in outcome scores. Quantification of variables that mediate racial disparity can help to build models for risk adjustment, pinpoint vulnerable populations, and identify primary points of intervention. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Urban and Rural Disparities in a WeChat-Based Smoking Cessation Intervention among Chinese Smokers.

INTRODUCTION: Tobacco use, which is directly responsible for 10% of total deaths per year globally, remains consistently high, with approximately 20% of the population reporting regular consumption globally. Moreover, health disparities regarding tobacco consumption and smoking cessation are growing between rural and urban populations worldwide. Social media interventions for tobacco cessation may effectively reach both groups. The objective of this study was to evaluate the efficacy of a WeChat-delivered smoking cessation intervention among rural and urban Chinese smokers, and to assess moderating variables that may contribute to differential intervention efficacy. METHODS: WeChat was used to recruit smokers into this intervention study between 1 July and 5 August 2019. Participants were randomized to one of three intervention schedules: participants in the Standard Group and the Enhanced Group received 20 smoking-related messages over 2 weeks, whereas participants in the Enhanced Group received an extra 6 oral health-related messages for one week. Participants in the control group received 20 smoking-related messages after the post-intervention assessment. Participants completed questionnaires at baseline and at 4 weeks follow-up. Our primary outcome was smoking cessation stage of change and secondary outcome was 24-h point prevalence abstinence (PPA). Urban and rural areas were based on self-reported living areas. Chi-squared test, Fisher's exact test, ANOVA test, linear regression, and logistic regression were used for analysis. RESULTS: Overall, 403 participants completed the intervention (233 rural, 107 suburban, 63 urban). Compared to urban participants, rural participants were more likely to have progressed to a later stage of change (ß = 0.40, 95% CI: 0.13, 0.67) and to report higher 24-h PPA rates at follow-up (aOR = 3.23, 95% CI: 1.36, 7.68). After stratification by living area, the intervention effects in stage of change and 24-h PPA rate at follow-up were only found in the urban subgroup. DISCUSSION: Smokers who lived in rural areas reported better smoking cessation outcomes compared with urban smokers; however, the efficacy of a WeChat-based smoking cessation intervention was only found for participants living in an urban area. WeChat based smoking cessation interventions should be used to promote smoking cessation in urban, suburban, and rural areas.

Improvement in student-led debriefing analysis after simulation-based team training using a revised teamwork assessment tool.

BACKGROUND: Team debriefing is an important teamwork development intervention for improving team outputs in healthcare. Debriefing is a key component of experiential team training teamwork development interventions such as simulation-based training. Improving the quality of debriefing of healthcare teams, therefore, has multiple benefits. We investigated whether the quality of student-led debriefing improved using a shortened guide. METHODS: Senior medical students, nurse anesthesia students, and senior undergraduate nursing students participated in student operating room team training at a health sciences center in the southeastern United States. Student teams participated in a dual-scenario simulation-based training session with immediate after-action debriefings after each scenario. In 2018, student teams conducted the second debriefing using as a guide the teamwork assessment scale, an 11-item, 3-subscale, 6-point Likert-type instrument. In 2019, they used a shortened, revised, 5-item version of the teamwork assessment scale, the quick teamwork assessment scale. Trained observers rated the quality of the student-led debriefings using the Objective Structured Assessment of Debriefing, an 8-item, 5-point instrument. The Wilcoxon-Mann-Whitney test was used to compare the teamwork assessment scale-guided and the quick teamwork assessment scale-guided mean item debriefing scores. RESULTS: Two observers rated 3 student-led team debriefings using the teamwork assessment scales as a guide in 2018, and 6 such debriefings happened using the quick teamwork assessment scale as a guide in 2019. For each debriefing, observer scores were averaged for each Objective Structured Assessment of Debriefing item; these mean scores were then averaged with other mean scores for each year. The use of the quick teamwork assessment scale resulted in a statistically significant higher mean score for the Analysis Objective Structured Assessment of Debriefing item compared with the use of the teamwork assessment scale (4.92 [standard deviation 0.20] versus 3.83 [standard deviation 0.76], P = .023). CONCLUSION: The use of a shortened teamwork assessment instrument as a debriefing guide for student teams in student operating room team training was more effective in analysis of actions than the original, longer tool. Next steps include determining the efficacy of the quick teamwork assessment scale in an actual clinical setting.

Racial differences in the risk of second primary bladder cancer following radiation therapy among localized prostate cancer patients.

OBJECTIVES: To investigate the race-specific second primary bladder cancer (SPBC) risk following prostatic irradiation. METHODS: Louisiana residents who were diagnosed with localized prostate cancer (PCa) in 1996-2013 and received surgery or radiation were included. Patients were followed until SPBC diagnosis, death, or Dec. 2018. The exposure variable was type of treatment (radiation only vs. surgery only). The outcome was time from PCa diagnosis to SPBC diagnosis, stratified by race. Fine and Gray's competing risk model was applied with death as a competing event and adjustment of sociodemographic and tumor characteristics. We used 5 years and 10 years as lag time in the analyses. RESULTS: A total of 26,277 PCa patients with a median follow-up of 10.7 years were analyzed, including 18,598 white and 7679 black patients. About 42.9 % of whites and 45.7 % of blacks received radiation. SPBC counted for 1.84 % in the radiation group and 0.90 % in the surgery group among white patients and for 0.91 % and 0.58 %, respectively, among black patients. The adjusted subdistribution hazard ratio of SPBC was 1.80 (95 % CI: 1.30-2.48) for radiation recipients compared to surgery recipients among white patients; 1.93 (95 % CI: 1.36-2.74) if restricted to external beam radiation therapy (EBRT). The SPBC risk was not significantly different between irradiated and surgically treated among blacks. CONCLUSIONS: The SPBC risk is almost two-fold among white irradiated PCa patients compared to their counterparts treated surgically. Our findings highlight the need for enhanced surveillance for white PCa survivors receiving radiotherapy, especially those received EBRT.

A Multivariate Multiple Third-Variable Effect Analysis with an Application to Explore Racial and Ethnic Disparities in Obesity.

Third-Variable effect refers to the intervening effect from a third variable (called mediators or confounders) to the observed relationship between an exposure and an outcome. The general multiple third-variable effect analysis method (TVEA) allows consideration of multiple mediators/confounders (MC) simultaneously and the use of linear and non-linear predictive models for estimating MC effects. Previous studies have found that compared with non-Hispanic White population, Blacks and Hispanic Whites suffered disproportionally more with obesity and related chronic diseases. In this paper, we extend the general TVEA to deal with multivariate/multicategorical predictors and multivariate response variables. We designed algorithms and an R package for this extension and applied MMA on the NHANES data to identify MCs and quantify the indirect effect of each MC in explaining both racial and ethnic disparities in obesity and the body mass index (BMI) simultaneously. We considered a number of socio-demographic variables, individual factors, and environmental variables as potential MCs and found that some of the ethnic/racial differences in obesity and BMI were explained by the included variables.

Current patient perspectives of vulvovaginal candidiasis: incidence, symptoms, management and post-treatment outcomes.

BACKGROUND: Vulvovaginal candidiasis (VVC) is a common infection affecting women worldwide. Reports of patterns/risk factors/trends for episodic/recurrent VVC (RVVC) are largely outdated. The purpose of this study was to obtain current patient perspectives of several aspects of VVC/RVVC. METHODS: Business cards containing on-line survey information were distributed to healthy volunteers and patients seeking standard, elective, or referral gynecologic care in university-affiliated Obstetrics/Gynecology clinics. The internet-based questionnaire was completed by 284 non-pregnant women (78% Caucasian, 14% African American, 8% Asian). RESULTS: The majority of the participants (78%) indicated a history of VVC with 34% defined as having RVVC. The most common signs/symptoms experienced were itching, burning and redness with similar ranking of symptoms among VVC and RVVC patients. Among risk factors, antibiotic use ranked highest followed by intercourse, humid weather and use of feminine hygiene products. A high number of respondents noted 'no known cause' (idiopathic episodes) that was surprisingly similar among women with a history of either VVC or RVVC. VVC/RVVC episodes reported were primarily physician-diagnosed (73%) with the remainder mostly reporting self-diagnosis and treating with over-the-counter (OTC) medications. Most physician-diagnosed attacks utilized a combination of pelvic examination and laboratory tests followed by prescribed antifungals. Physician-treated cases achieved a higher level of symptom relief (84%) compared to those who self-medicated (57%). The majority of women with RVVC (71%) required continual or long-term antifungal medication as maintenance therapy to control symptoms. CONCLUSIONS: Current patient perspectives closely reflect historically documented estimates of VVC/RVVC prevalence and trends regarding symptomatology, disease management and post-treatment outcomes.

Racial and Income Disparities in Health-Related Quality of Life among Smokers with a Quit Attempt in Louisiana.

Background and objectives: Smoking is associated with a lower health-related quality of life (HRQOL). However, there is little information about the association between HRQOL in relation to race, income, and smoking status. The present study aimed to assess the association between HRQOL and smoking status for those of different races and income levels. Materials and Methods: This study applied a cross-sectional design using data from the 2017 patient survey of the Louisiana Tobacco Control Initiative. We obtained 1108 responses from patients at eight Louisiana public hospitals. The EuroQol (EQ-5D) US index score assessed HRQOL. Smoking status was classified into four groups: never smoked, former smoker, current smoker with a quit attempt, and current smoker without a quit attempt. Multivariate linear regression analyses were used to estimate the HRQOL for black or African Americans and whites. Results: The patients were predominantly black or African American (58.9%) with lower-income (71.2%). Bivariate analyses showed that there were differences in income levels between black or African Americans and whites (p = 0.006). Moreover, black or African Americans (median = 0.80) had a higher mean of HRQOL than whites (median = 0.76). Among lower-income black or African Americans, current smokers with a quit attempt had a lower HRQOL than current smokers (coefficient = -0.12; p < 0.01). Conclusions: Racial and income disparities were evident with regards to HRQOL, with lower-income black or African Americans who were current smokers with a quit attempt having a lower HRQOL. Intervention programs for smoking cessation should target lower-income black or African American smokers who have a prior quit attempt and provide effective cessation services to help them quit smoking and improve their HRQOL.

Neighborhood disadvantage and racial disparities in colorectal cancer incidence: a population-based study in Louisiana.

PURPOSE: Colorectal cancer (CRC) continues to demonstrate racial disparities in incidence and survival in the United States. This study investigates the role of neighborhood concentrated disadvantage in racial disparities in CRC incidence in Louisiana. METHODS: Louisiana Tumor Registry and U.S. Census data were used to assess the incidence of CRC diagnosed in individuals 35 years and older between 2008 and 2012. Neighborhood concentrated disadvantage index (CDI) was calculated based on the PhenX Toolkit protocol. The incidence of CRC was modeled using multilevel binomial regression with individuals nested within neighborhoods. RESULTS: Our study included 10,198 cases of CRC. Adjusting for age and sex, CRC risk was 28% higher for blacks than whites (risk ratio [RR] = 1.28; 95% confidence interval [CI] = 1.22-1.33). One SD increase in CDI was associated with 14% increase in risk for whites (RR = 1.14; 95% CI = 1.10-1.18) and 5% increase for blacks (RR = 1.05; 95% CI = 1.02-1.09). After controlling for differential effects of CDI by race, racial disparities were not observed in disadvantaged areas. CONCLUSION: CRC incidence increased with neighborhood disadvantage and racial disparities diminished with mounting disadvantage. Our results suggest additional dimensions to racial disparities in CRC outside of neighborhood disadvantage that warrants further research.

Assessment of Bone Width for Implants in the Posterior Mandible.

PURPOSE: After implants are placed into mandibular molar sites, it is assumed that crestal bone width will not change considerably over time. The purpose of this retrospective study was to determine crestal bone changes for implants placed into mandibular molar locations. The hypotheses for all groups (immediate, delayed, and grafted) were that no major changes in bone width of the posterior mandible would occur in the long term. MATERIALS AND METHODS: This is a retrospective cohort study involving 3 groups of patients within the senior author's practice who had at least 4 years of follow-up cone-beam computed tomograms available for measurement. The primary outcome variable, crestal width, was measured at 3 intervals, namely at tooth removal, before implant placement, and 4 to 5 years after placement. Group A underwent tooth extraction with immediate implant placement; group B underwent tooth extraction with delayed implant placement; and group C underwent tooth extraction with socket grafting and implant placement 4 months after grafting. Standardized cross-sectional cone-beam computed tomograms were used to measure ridge width. Two-sample t tests and regression analysis were used to compare crestal width measurements at different periods among groups. Analysis of variance was adapted to check whether ridge widths among groups were confounded by variables, such as age, gender, and medical comorbidities. RESULTS: Age, gender, medical comorbidities, and smoking were not statistically related to the outcome. Long-term comparisons indicated small yet significant (P = .0124) differences at the crestal level. The greatest change was for the grafted group, with width change from 12.4 ± 2.1 mm before extraction to 9.9 ± 1.8 mm 4 to 5 years after implant placement. Bone width changes 5 and 10 mm inferior to the crest did not change over time. CONCLUSION: Within the time course and sample size evaluated, the thickness of the buccal bone seems to be maintained over time, regardless of method used, with small yet important changes from before tooth removal through the long-term.

Multilevel spatiotemporal change-point models for evaluating the effect of an alcohol outlet control policy on changes in neighborhood assaultive violence rates.

Many previous studies have suggested a link between alcohol outlets and assaultive violence rates. In 1997 the City of New Orleans adopted a series of policies, e.g., increased license fee, additional enforcement staff, and expanded powers for the alcohol license board. The policies were specifically enacted to address the proliferation of problem alcohol outlets believed to be the source of a variety of social problems including assaultive violence. In this research, we evaluate the impact of a city level policy in New Orleans to address the problem alcohol outlets and their influence on assaultive violence. The spatial association between rates of assaultive violence at the census tract level (n=170) over a ten year period raises a challenge in statistical analysis. To meet this challenge we developed a hierarchical change-point model that controls for important covariates of assaultive violence and accounts for unexplained spatial and temporal variability. While our model is somewhat complex, its hierarchical Bayesian analysis is accessible via the WinBUGS software program. Keeping other effects fixed, the implementation of the new city level policy was associated with a decrease in the positive association between census tract level rates of assaultive violence and alcohol outlet density. Comparing several candidate change-point models using the DIC criterion, the positive association began decreasing the year of the policy implementation. The magnitude of the association continued to decrease for roughly two years and then stabilized. We also created maps of the fitted assaultive violence rates in New Orleans, as well as spatial residual maps which, together with Moran's I's, suggest that the spatial variation of the data is well accounted for by our model. We reach the conclusion that the implementation of the policy is associated with a significant decrease in the positive relationship between assaultive violence and the off-sale alcohol outlet density.

Misspecification of the effect of race in fixed effects models of health inequalities.

The purpose of this study is to characterize the different results obtained when analyzing health inequalities data in which individuals are nested within their neighborhoods and a single level model is used to characterize risk rather than a multilevel model. The inability of single level models to characterize between neighborhood variance in risk may affect the level of risk attributed to black race if blacks are differentially distributed in high risk neighborhoods. The research replicates in Los Angeles an approach applied by a different group of researchers in Massachusetts (Subramanian, Chen, Rehkopf, Waterman, & Krieger, 2005). Single level and multilevel models were used to analyze Los Angeles County, California, US all-cause mortality data for the years 1989-1991, modeled as 29,936 cells (deaths and population denominators cross-tabulated by age, gender, and race/ethnicity) nested within 1552 census tracts. Overall blacks had 1.27 times the risk of mortality compared to whites. However, multilevel models demonstrated considerable between census tract variance in mortality for both blacks and whites which was partially explained by neighborhood poverty. Comparing the results of equivalent single level and multilevel models, the mortality odds ratio for blacks compared to the white reference group reversed itself, indicating greater risk for blacks in the single level model and lower risk in the multilevel model. Adding an area based socioeconomic measure (ABSM) to the single level model reduced but did not remove the discrepancy. Predictions of mortality risk for the interaction of race and age group demonstrate that all single level models exaggerated the mortality risk associated with black race. We conclude that characterizing health inequalities in mortality for blacks using single level models, which do not account for the cross level interaction created by the greater likelihood of black residence in neighborhoods where the risk of mortality is greater regardless of race, can exaggerate the risk of mortality attributable to the individual level effects of black race.