Trends in Attaining Mammography Quality Benchmarks With Repeated Participation in a Quality Measurement Program: Going Beyond the Mammography Quality Standards Act to Address Breast Cancer Disparities.

PURPOSE: The Mammography Quality Standards Act requires that mammography facilities conduct audits, but there are no specifications on the metrics to be measured. In a previous mammography quality improvement project, the authors examined whether breast cancer screening facilities could collect the data necessary to show that they met certain quality benchmarks. Here the authors present trends from the first 5 years of data collection to examine whether continued participation in this quality improvement program was associated with an increase in the number of benchmarks met for breast cancer screening. METHODS: Participating facilities across the state of Illinois (n = 114) with at least two time points of data collected (2006, 2009, 2010, 2011, and/or 2013) were included. Facilities provided aggregate data on screening mammographic examinations and corresponding diagnostic follow-up information, which was used to estimate 13 measures and corresponding benchmarks for patient tracking, callback, cancer detection, loss to follow-up, and timeliness of care. RESULTS: The number of facilities able to show that they met specific benchmarks increased with length of participation for many but not all measures. Trends toward meeting more benchmarks were apparent for cancer detection, timely imaging, not lost at biopsy, known minimal status (P < .01 for all), and proportion of screening-detected cancers that were minimal and early stage (P < .001 for both). CONCLUSIONS: Participation in the quality improvement program seemed to lead to improvements in patient tracking, callback and detection, and timeliness benchmarks.

Implementation of an integrated framework for a breast cancer screening and navigation program for women from underresourced communities.

BACKGROUND: Trends in breast cancer mortality in the United States are decreasing, but racial disparities persist. Using an implementation science framework to inform evidence-based breast cancer screening and navigation within federally qualified health centers (FQHCs) with community stakeholders can mitigate barriers to screening. METHODS: Using an integrated theoretical framework of the Practical, Robust Implementation and Sustainability Model and the Social Ecological Model, the University of Illinois Cancer Center and Mile Square Health Centers (MSHC) FQHC developed a breast cancer screening and navigation program, known as the Mile Square Accessible Mammogram Outreach and Engagement (Mi-MAMO) program, to tackle breast cancer disparities in Chicago among underresourced communities. To increase access to screening, patient navigators conducted community outreach activities. Partnerships were forged with community-based organizations, health care systems, and insurers. Outcomes were monitored with standardized performance measures. RESULTS: Between January and December 2017, 103 women received a screening mammogram at MSHC. To increase screening rates, Mi-MAMO was started in August 2017. Between January and December 2018, the number of women who received a screening mammogram increased to 567. From August 2017 to December 2018, 779 women received navigation to screening and/or diagnostic services through the Mi-MAMO program. The majority of women were uninsured (63.9%), and 95.5% were racial/ethnic minorities. Twenty-four percent (n = 185) completed diagnostic services, and 10 women received positive breast cancer diagnoses (mean age, 49.7 years); all successfully navigated to treatment. The Mi-MAMO program is ongoing. CONCLUSIONS: Deploying an integrated framework for patient navigation programs can increase breast cancer screening utilization and awareness among underresourced populations at higher risk for breast cancer.

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.

Community-Academic Partnerships: Approaches to Engagement.

Current public health problems such as cancer have an expansive set of lifestyle and social circumstances that affect the cause and course of the disease. In response, over the past 7 years, the National Cancer Institute (NCI) has recognized the important role that cancer centers play in their community and has gradually increased the requirements and stringency of these sections in the Cancer Center Support Grant guidelines to include a plan for community outreach and engagement. Developing sustainable community-academic partnerships is an essential factor for the successful dissemination and implementation of promising interventions and programs aimed at decreasing barriers and improving cancer outcomes. Understanding how best to facilitate linkages and collaboration can expedite translation of research knowledge into practice and allow more evidence-based improvements to be implemented into practice as well as influence research agendas. This article will examine several examples of successful community-academic partnerships focused on cancer prevention and control and explore lessons learned.

Mammographic density: intersection of advocacy, science, and clinical practice.

Purpose: Here we aim to review the association between mammographic density, collagen structure and breast cancer risk. Findings: While mammographic density is a strong predictor of breast cancer risk in populations, studies by Boyd show that mammographic density does not predict breast cancer risk in individuals. Mammographic density is affected by age, parity, menopausal status, race/ethnicity, and body mass index (BMI).New studies normalize mammographic density to BMI may provide a more accurate way to compare mammographic density in women of diverse race and ethnicity. Preclinical and tissue-based studies have investigated the role collagen composition and structure in predicting breast cancer risk. There is emerging evidence that collagen structure may activate signaling pathways associated with aggressive breast cancer biology. Summary: Measurement of film mammographic density does not adequately capture the complex signaling that occurs in women with at-risk collagen. New ways to measure at-risk collagen potentially can provide a more accurate view of risk.

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.

Absence of an anticipated racial disparity in interval breast cancer within a large health care organization.

PURPOSE: Compared to non-Latina (nL) white women, nL black women are diagnosed with more aggressive breast cancers, which in turn should be more likely to go undetected on screening mammography and subsequently arise as interval breast cancer (IBC). We sought to estimate the extent of an anticipated racial disparity in IBC within a single, large health care organization. METHODS: The present analysis focuses on 4357 breast cancers diagnosed between 2001 and 2012 and within 18 months of a screening mammogram (N = 714,218). We used logistic regression with model-based standardization (predictive margins) to estimate adjusted prevalence differences corresponding to a racial disparity in IBC. RESULTS: Overall, prevalence of IBC within 18 months was 20.7%. Contrary to expectation, in patient-adjusted models, there was no IBC racial disparity (percentage point disparity = -2.1, 95% confidence interval: -4.7, 2.6). However, when controlling for facility characteristics, including proportion of nL black patients, the model coefficient for the IBC disparity reversed sign and changed substantially (P < .0001) and a racial disparity emerged (percentage point disparity = +5.1, 95% confidence interval: -0.3, 9.9). CONCLUSIONS: The sorting of patients by race across facilities appears to have mitigated an otherwise anticipated disparity in IBC. Possible explanations are discussed.

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.