Impact of mail order pharmacy use and travel time to pharmacy on viral suppression among people living with HIV.

This study aimed to evaluate the impact of mail order pharmacy services and travel time to pharmacy on HIV viral suppression rates among people living with HIV. For adult patients receiving HIV care from 2010 to 2015 at an urban HIV care clinic, we collected demographics, pharmacy type, viral load, and patient home and pharmacy address. We geocoded addresses and measured travel time to pharmacy by car and public transportation. No difference was observed in recent viral suppression rates based on pharmacy type (p = 0.41), distance to pharmacy (p = 0.16), or travel time to pharmacy by car (p = 0.20) or public transportation (p = 0.15). The only factors significantly associated with sustained viral suppression were number of doses per day of antiretroviral therapy, with patients prescribed twice daily regimens less likely to be virally suppressed than those prescribed once daily regimens (aOR 0.4, 95% CI, [0.1, 0.6]) and average household income in patients' zip code, with patients living in zip codes with average household income <$40,000 per year less likely to be virally suppressed than those living in zip codes with average income >$55,000 per year (aOR 0.2. 95% CI, [0.1, 0.7]).

Travel Time to Clinic but not Neighborhood Crime Rate is Associated with Retention in Care Among HIV-Positive Patients.

Using geospatial analysis, we examined the relationship of distance between a patient's residence and clinic, travel time to clinic, and neighborhood violent crime rates with retention in care or viral suppression among people living with HIV (PLWH). For HIV-positive patients at a large urban clinic, we measured distance and travel time between home and clinic and violent crime rate within a two block radius of the travel route. Kruskal-Wallis rank sum was used to compare outcomes between groups. Over the observation period, 2008-2016, 219/602 (36%) patients were retained in care. Median distance from clinic was 3.6 (IQR 2.1-5.6) miles versus 3.9 (IQR 2.7-6.1) miles among those retained versus not retained in care, p = 0.06. Median travel time by car was 15.9 (IQR 9.6-22.9) versus 17.1 (IQR 12.0-24.6) minutes for those retained versus not retained, p = 0.04. Violent crime rate along travel route was not associated with retention. There was no significant association between travel time or distance and viral suppression.

Bladder Cancer Mortality in the United States: A Geographic and Temporal Analysis of Socioeconomic and Environmental Factors.

PURPOSE: We assessed the association of temporal, socioeconomic and environmental factors with bladder cancer mortality in the United States. Our hypothesis was that bladder cancer mortality is associated with distinct environmental and socioeconomic factors with effects varying by region, race and gender. MATERIALS AND METHODS: NCI (National Cancer Institute) age adjusted, county level bladder cancer mortality data from 1950 to 2007 were analyzed to identify clusters of increased bladder cancer death using the Getis-Ord Gi* statistic. Socioeconomic, clinical and environmental data were assessed using geographically weighted spatial regression analysis adjusting for spatial autocorrelation. County level socioeconomic, clinical and environmental data were obtained from national databases, including the United States Census, CDC (Centers for Disease Control and Prevention), NCHS (National Center for Health Statistics) and County Health Rankings. RESULTS: Bladder cancer mortality hot spots and risk factors for bladder cancer death differed significantly by gender, race and geographic region. From 1996 to 2007 smoking, unemployment, physically unhealthy days, air pollution ozone days, percent of houses with well water, employment in the mining industry and urban residences were associated with increased rates of bladder cancer mortality (p <0.05). Model fit was significantly improved in hot spots compared to all American counties (R(2) = 0.20 vs 0.05). CONCLUSIONS: Environmental and socioeconomic factors affect bladder cancer mortality and effects appear to vary by gender and race. Additionally there were temporal trends of bladder cancer hot spots which, when persistent, should be the focus of individual level studies of occupational and environmental factors.

Targeting pediatric pedestrian injury prevention efforts: teasing the information through spatial analysis.

BACKGROUND: Pediatric pedestrian injuries remain a major cause of childhood death, hospitalization, and disability. To target injury prevention efforts, it is imperative to identify those children at risk. Racial disparities have been noted in the rates of pediatric pedestrian injury and death. Children from low-income families living in dense, urban residential neighborhoods have a higher risk of sustaining pedestrian injury. Geographic information systems (GIS) analysis of associated community factors such as child population density and median income may offer insights into prevention. METHODS: Using trauma registry E-codes for pedestrian motor vehicle crashes, children younger than 16 years were identified, who received acute care and were hospitalized at the University of Chicago Medical Center, a Level I pediatric trauma center, after being struck by a motor vehicle from 2002 to 2009. By retrospective chart review and review of the Emergency Medical Services run sheets, demographic data and details of the crash site were collected. Crash sites were aggregated on a block by block basis. A "hot spot" analysis was performed to localize clusters of injury events. Using Gi* statistical method, spatial clusters were identified at different confidence intervals using a fixed distance band of 400 m (≈ » mile). Maps were generated using GIS with 2000 census data to evaluate race, employment, income, density of public and private schools, and density of children living in the neighborhoods surrounding our medical center where crash sites were identified. Spatial correlation is used to identify statistically significant locations. RESULTS: There were 3,521 children admitted to the University of Chicago Medical Center for traumatic injuries from 2002 to 2009; 27.7% (974) of these children sustained injuries in pedestrian motor vehicle injuries. From 2002 to 2009, there were a total of 106 traumatic deaths, of which 29 (27.4%) were due to pedestrian motor vehicle crashes. Pediatric pedestrian motor vehicle crash sites occurred predominantly within low-income, predominantly African-American neighborhoods. A lower prevalence of crash sites was observed in the predominantly higher income, non-African-American neighborhoods. CONCLUSIONS: Spatial analysis using GIS identified associations between pediatric pedestrian motor vehicle crash sites and the neighborhoods served by our pediatric trauma center. Pediatric pedestrian motor vehicle crash sites occurred predominantly within low-income, African-American neighborhoods. The disparity in prevalence of crash sites is somewhat attributable to the lower density of children living in the predominantly higher income, non-African-American neighborhoods, including the community immediately around our hospital. Traffic volume patterns, as a denominator of these injury events, remain to be studied.

Proximity Does Not Equal Access: Racial Disparities in Access to High Quality Dialysis Facilities.

BACKGROUND: For patients receiving hemodialysis, distance to their dialysis facility may be particularly important due to the need for thrice weekly dialysis. We sought to determine whether African-Americans and Whites differ in proximity and access to high quality dialysis facilities. METHODS: We analyzed urban, Whites and African-Americans aged 18-65 receiving in-center hemodialysis linked to data on neighborhood and dialysis facility quality measures. In multivariable analyses, we examined the association between individual and neighborhood characteristics, and our outcomes: distance from home zip code to nearest dialysis facility, their current facility and the nearest high quality facility, as well as likelihood of receiving dialysis in a high quality facility. RESULTS: African-Americans lived a half mile closer to a dialysis facility (B=-0.52) but traveled the same distance to their own dialysis facility compared to Whites. In initial analysis, African-Americans are 14% less likely than their White counterparts to attend a high quality dialysis facility (OR 0.86); and those disparities persist, though are reduced, even after adjusting for region, neighborhood poverty and percent African-American. In predominately African-American neighborhoods, individuals lived closer to high quality facilities (B=--5.92), but were 53% less likely to receive dialysis there (OR 0.47, highest group versus lowest, p<0.05). Living in a predominately African-American neighborhood explains 24% of racial disparity in attending a high quality facility. CONCLUSIONS: African-Americans' proximity to high quality facilities does not lead to receiving care there. Institutional and social barriers may also play an important role in where people receive dialysis.