Performance characteristics of digital vs film screen mammography in community practice.

We compared the performance characteristics of 297 629 full field digital (FFDM) and 416 791 screen film mammograms (SFM). Sensitivity increased with age, decreased with breast density, and was lower for more aggressive and lobular tumors. While sensitivity did not differ significantly by modality, specificity was generally 1%-2% points higher for FFDM than for SFM across age and breast density categories. The lower recall rate for FFDM vs SFM in our study may partially explain performance differences by modality. In this large health care organization, modest gains in performance were achieved with the introduction of FFDM as a replacement for SFM.

A geographic information system-based method for estimating cancer rates in non-census defined geographical areas.

PURPOSE: To address locally relevant cancer-related health issues, health departments frequently need data beyond that contained in standard census area-based statistics. We describe a geographic information system-based method for calculating age-standardized cancer incidence rates in non-census defined geographical areas using publically available data. METHODS: Aggregated records of cancer cases diagnosed from 2009 through 2013 in each of Chicago's 77 census-defined community areas were obtained from the Illinois State Cancer Registry. Areal interpolation through dasymetric mapping of census blocks was used to redistribute populations and case counts from community areas to Chicago's 50 politically defined aldermanic wards, and ward-level age-standardized 5-year cumulative incidence rates were calculated. RESULTS: Potential errors in redistributing populations between geographies were limited to <1.5% of the total population, and agreement between our ward population estimates and those from a frequently cited reference set of estimates was high (Pearson correlation r = 0.99, mean difference = -4 persons). A map overlay of safety-net primary care clinic locations and ward-level incidence rates for advanced-staged cancers revealed potential pathways for prevention. CONCLUSIONS: Areal interpolation through dasymetric mapping can estimate cancer rates in non-census defined geographies. This can address gaps in local cancer-related health data, inform health resource advocacy, and guide community-centered cancer prevention and control.

Late HIV Testing in a Cohort of HIV-Infected Patients in Puerto Rico.

OBJECTIVE: Late HIV testing (LT), defined as receiving an AIDS diagnosis within a year of one's first positive HIV test, is associated with higher HIV transmission, lower HAART effectiveness, and worse outcomes. Latinos represent 36% of LT in the US, yet research concerning LT among HIV cases in Puerto Rico is scarce. METHODS: Multivariable logistic regression analysis was used to identify factors associated with LT, and a Cochran‒Armitage test was used to determine LT trends in an HIV-infected cohort followed at a clinic in Puerto Rico specialized in the management and treatment of HIV. RESULTS: From 2000 to 2011, 47% of eligible patients were late testers, with lower median CD4 counts (54 vs. 420 cells/mm3) and higher median HIV viral load counts (253,680 vs. 23,700 copies/mL) than non-LT patients. LT prevalence decreased significantly, from 47% in 2000 to 37% in 2011. In a mutually adjusted logistic regression model, males, older age at enrollment and past history of IDU significantly increased LT odds, whereas having a history of amphetamine use decreased LT odds. When the data were stratified by mode of transmission, it became apparent that only the category men who have sex with men (MSM) saw a significant reduction in the proportion of LT, falling from 67% in 2000 to 33% in 2011. CONCLUSION: These results suggest a gap in early HIV detection in Puerto Rico, a gap that decreased only among MSM. An evaluation of the manner in which current HIV-testing guidelines are implemented on the island is needed.

Late HIV Testing in a Cohort of HIV-Infected Patients in Puerto Rico.

OBJECTIVE: Late HIV testing (LT), defined as receiving an AIDS diagnosis within a year of one's first positive HIV test, is associated with higher HIV transmission, lower HAART effectiveness, and worse outcomes. Latinos represent 36% of LT in the US, yet research concerning LT among HIV cases in Puerto Rico is scarce. METHODS: Multivariable logistic regression analysis was used to identify factors associated with LT, and a Cochran‒Armitage test was used to determine LT trends in an HIV-infected cohort followed at a clinic in Puerto Rico specialized in the management and treatment of HIV. RESULTS: From 2000 to 2011, 47% of eligible patients were late testers, with lower median CD4 counts (54 vs. 420 cells/mm3) and higher median HIV viral load counts (253,680 vs. 23,700 copies/mL) than non-LT patients. LT prevalence decreased significantly, from 47% in 2000 to 37% in 2011. In a mutually adjusted logistic regression model, males, older age at enrollment and past history of IDU significantly increased LT odds, whereas having a history of amphetamine use decreased LT odds. When the data were stratified by mode of transmission, it became apparent that only the category men who have sex with men (MSM) saw a significant reduction in the proportion of LT, falling from 67% in 2000 to 33% in 2011. CONCLUSION: These results suggest a gap in early HIV detection in Puerto Rico, a gap that decreased only among MSM. An evaluation of the manner in which current HIV-testing guidelines are implemented on the island is needed.

Breaking the Cycle of Health Inequities: The Bioethics of Data.

Social epigenomics measures the mechanisms through which place and context change our biology. Big data science connects, analyzes, and allows inferences from previously disconnected data. Precision medicine promises individually-tailored treatments. Together, these emerging fields are changing the way we discover, decipher, and deliver new science to populations. However, differential participation in and uptake (by adopter type-from innovators to laggards) of the discovering, deciphering, and delivering of these new mechanisms may exacerbate health disparities. Innovators and early adopters are generally from higher-resourced environments. This leads to data and findings biased towards those environments. Such biased data in turn continue to be used to generate new discoveries, further obscuring potentially underrepresented populations, and creating a nearly inescapable cycle of health inequity. We argue that equitable access to representative data is of special moral (bioethical) importance, necessary to break the cycle of health inequities.