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Objective We sought to identify patient factors associated with patient-reported screening behaviors in women with dense breasts. Methods An IRB-approved survey study of women with dense breasts presenting for annual screening mammography at an outpatient imaging center was previously conducted from March 2017 to February 2018. The survey included questions regarding mammographic screening frequency and recent participation in supplemental screening. These survey data were combined post hoc with clinical and demographic data and socioeconomic data imputed from census data. Logistic regression was used to identify patient factors associated with reported screening behaviors. Results Surveys were completed by 508 women (median age, 59.0 years; range, 31.0–86.0 years) with dense breasts. Multivariable analysis demonstrated an independent association of undergoing mammographic screening annually with a history of discussing breast density with a doctor (adjusted odds ratio [AOR], 2.60; P = 0.019). Undergoing supplemental screening in the previous three years was independently associated with younger age (AOR, 1.59; P = 0.004), strong family history of breast cancer (AOR, 3.84; P = 0.027), higher perceived personal risk for breast cancer (AOR, 3.47; P = 0.004), and increased concern about radiation associated with screening examinations (AOR, 3.31; P = 0.006). Conclusion Women with dense breasts who had discussed breast density with a doctor were more likely to report undergoing annual screening mammography, while younger women and women with a strong family history of breast cancer, higher perceived personal risk for breast cancer, or greater concern about radiation were more likely to report recently undergoing supplemental screening.

Purpose To investigate age-related changes of the outer nuclear layer (ONL) thickness and cone density, and their associations in healthy participants using a modified, narrow scan-angle Heidelberg Retina Angiograph (HRA2). Methods Retinal cones were imaged outside the fovea at 8.8° eccentricity and cone density was compared to ONL thickness measurements obtained by Spectral-Domain Optical Coherence Tomography (SD-OCT) at the same locations. Fifty-six eyes of 56 healthy participants with a median age (interquartile range, IQR) of 37 years (29–55) were included. Results Median (IQR) cone count was 7,472 (7,188, 7,746) cones/mm2 and median (IQR) ONL thickness was 56 (52, 60) µm for healthy participants. Both cone density and ONL thickness were negatively associated with age: cone density, R2 = 0.16 (F(1,54) = 10.41, P = 0.002); ONL thickness, R2 = 0.12 (F(1,54) = 7.41, P = 0.009). No significant association was seen between cone density and ONL thickness (R2 = 0.03; F(1,54) = 1.66, P = 0.20). Conclusion Cone density was lower, and ONL thinner, in older compared to younger participants, therefore, image-based structural measures should be compared to age-related data. However, cone density and ONL thickness were not strongly associated, indicating that determinants of ONL thickness measurements other than cone density measurements, and including measurement error, have a major influence.

Age, race, socioeconomic status, and proximity to plastic surgeons have been shown to impact receipt of reconstruction after mastectomy in several national studies. Given that targeted outreach efforts and programs to address these discrepancies would occur locoregionally, investigation of these reconstructive trends on a state level is warranted.Patients diagnosed with breast cancer in Virginia between 2000 and 2018 were identified in the Virginia Department of Health Cancer Registry. Patients who underwent mastectomy breast conservation surgery, and/or breast reconstruction at the time of oncologic surgery were identified. Patient demographics were analyzed, and logistic regression analyses were used to determine the likelihood of receipt of mastectomy, receipt of mastectomy versus breast conservation surgery, receipt of mastectomy with reconstruction versus mastectomy alone, and receipt of mastectomy with reconstruction versus breast conservation surgery with respect to the demographic variables. Geographically weighted regression analyses were also performed to determine impact of geographic location on receipt of mastectomy and reconstruction after mastectomy.A total of 78,682 patients in Virginia underwent surgical treatment for breast cancer between 2000 and 2018. Living outside a metropolitan area, increased age, lower socioeconomic status, non-White race, and lower number of plastic surgeons within 50 miles were associated with decreased rates of postmastectomy reconstruction. Rural setting, lower socioeconomic status, and lower plastic surgeon supply were also associated with decreased rates of breast conservation surgery. Reconstruction after mastectomy was lowest in the northwest, central, and southwest regions of Virginia.Within the state of Virginia, programs to improve access to breast reconstruction for patients residing in rural regions, as well as non-White patients, older patients, and those in lower socioeconomic groups should be implemented. Future studies would implement and study the efficacy of such outreach programs, which could then be applied and tailored to other states or regions to address sociodemographic disparities in access to breast reconstruction.

Table S1: Advanced-Stage Diagnosis of Breast Cancer: Single-Equation and 2SRI Models without Tumor Biology Variables. Table S2: Advanced-Stage Diagnosis of Breast Cancer: Single-Equation and 2SRI Models without Imputation of Tumor Biology Variables. Table S3: Advanced-Stage Diagnosis of Breast Cancer: Base-Case Single-Equation and 2SRI Models Using Sample Weights. Table S4: Advanced-Stage Diagnosis of Breast Cancer: Single-Equation and 2SRI Models Excluding Mammography-Capacity Variable (and thus including Minnesota observations). Table S5: Advanced-Stage Diagnosis of Breast Cancer: Single-Equation and Propensity Score-Weighted Models. Table S6: Balance of Covariate Values between Method of Detection "Arms" without and with Propensity Score Adjustment.

Background: Multiple studies have yielded important findings regarding the determinants of an advanced-stage diagnosis of breast cancer. We seek to advance this line of inquiry through a broadened conceptual framework and accompanying statistical modeling strategy that recognize the dual importance of access-to-care and biologic factors on stage.Methods: The Centers for Disease Control and Prevention–sponsored Breast and Prostate Cancer Data Quality and Patterns of Care Study yielded a seven-state, cancer registry–derived population-based sample of 9,142 women diagnosed with a first primary in situ or invasive breast cancer in 2004. The likelihood of advanced-stage cancer (American Joint Committee on Cancer IIIB, IIIC, or IV) was investigated through multivariable regression modeling, with base-case analyses using the method of instrumental variables (IV) to detect and correct for possible selection bias. The robustness of base-case findings was examined through extensive sensitivity analyses.Results: Advanced-stage disease was negatively associated with detection by mammography (P < 0.001) and with age < 50 (P < 0.001), and positively related to black race (P = 0.07), not being privately insured [Medicaid (P = 0.01), Medicare (P = 0.04), uninsured (P = 0.07)], being single (P = 0.06), body mass index > 40 (P = 0.001), a HER2 type tumor (P < 0.001), and tumor grade not well differentiated (P < 0.001). This IV model detected and adjusted for significant selection effects associated with method of detection (P = 0.02). Sensitivity analyses generally supported these base-case results.Conclusions: Through our comprehensive modeling strategy and sensitivity analyses, we provide new estimates of the magnitude and robustness of the determinants of advanced-stage breast cancer.Impact: Statistical approaches frequently used to address observational data biases in treatment-outcome studies can be applied similarly in analyses of the determinants of stage at diagnosis. Cancer Epidemiol Biomarkers Prev; 25(4); 613–23. ©2016 AACR.

Please see the Editorial Comment by Bethany L. Niell discussing this article. BACKGROUND. The success of adjunct breast cancer screening of women with dense breasts can be enhanced by identifying a...

To determine what patient factors are associated with a high or an accurate perceived personal risk (PPR) for breast cancer.An IRB-approved survey study of women with dense breasts presenting for annual screening mammography was previously conducted from March 2017 to February 2018. Patients were asked to estimate their personal risk for breast cancer and to answer questions about prior breast care-related medical interactions. Survey data were combined post hoc with demographic and clinical data, including breast cancer risk status, and socioeconomic data imputed for each patient from census data. Logistic regression was used to determine which patient factors were associated with a high or accurate PPR.Surveys were completed by 508 women with dense breasts (median age 59.0 years). A high PPR was independently associated with younger age (AOR, 1.71 [95% CI, 1.13, 2.60]), family history of breast cancer (AOR 4.27 [95% CI, 2.81-7.34]), having a clinical "high-risk" designation (AOR, 3.43 [95% CI, 1.13-10.39], and having been called back from screening (AOR, 1.94 [95% CI, 1.14-3.32]). A lower accuracy of PPR was independently associated with a family history of breast cancer (AOR, 0.25 [95% CI, 0.14-0.42]) and having been called back from screening (AOR, 0.58 [95% CI, 0.35-0.98]).Women with dense breasts who had a family history of breast cancer or who had been called back from screening had a higher but less accurate PPR. Women with a "high-risk" clinical designation had a higher PPR, even when controlling for family history.

Prevention is a cornerstone of the guiding mission of the University of Virginia Comprehensive Cancer Center, which is “to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion.” We find it useful to conceptualize different opportunities for cancer prevention using NCI's Health Behaviors Research Branch's multilevel translational framework. The latter considers three intersecting continuums: cancer control—from prevention through survivorship; translation—from basic sciences to dissemination and implementation; and level of influence or impact—from genetics to policy. An advantage of this heuristic is that “prevention” is inherently defined as an inter-programmatic concept cutting across basic, clinical, and population science research rather than solely as a programmatic domain of Population Sciences. Through the UVA community outreach and engagement, we apply this multilevel framework to mitigate the social determinants of cancer risk and outcomes that drive cancer inequities in our catchment area. Below, we provide examples of our prevention research and translation along the model continuums and focus on equity.

The Cancer and Leukemia Group-B 9343 (CALGB 9343) trial demonstrated that women aged ≥ 70 years with early-stage breast cancer can safely omit radiation therapy (RT) and be treated with breast-conserving surgery (BCS) and adjuvant endocrine therapy (AET) alone. AET adherence is low, leaving an undertreated cohort who may be at increased risk of recurrence and death. We hypothesized that AET adherence and adjuvant treatment choice impact recurrence and survival among CALGB 9343 eligible women. SEER-Medicare was used to identify CALGB 9343 eligible women who underwent BCS between 2007 and 2016. Medicare claims were used to identify AET use, and the proportion of days covered by AET was used to categorize adherent (PDC ≥ 0.80) versus nonadherent patients (PDC

Divergence is often ephemeral, and populations that diverge in response to regional topographic and climatic factors may not remain reproductively isolated when they come into secondary contact. We investigated the geographical structure and evolutionary history of population divergence within Sceloporus occidentalis (western fence lizard), a habitat generalist with a broad distribution that spans the major biogeographical regions of Western North America. We used double digest RAD sequencing to infer population structure, phylogeny and demography. Population genetic structure is hierarchical and geographically structured with evidence for gene flow between biogeographical regions. Consistent with the isolation-expansion model of divergence during Quaternary glacial-interglacial cycles, gene flow and secondary contact are supported as important processes explaining the demographic histories of populations. Although populations may have diverged as they spread northward in a ring-like manner around the Sierra Nevada and southern Cascade Ranges, there is strong evidence for gene flow among populations at the northern terminus of the ring. We propose the concept of an "ephemeral ring species" and contrast S. occidentalis with the classic North American ring species, Ensatina eschscholtzii. Contrary to expectations of lower genetic diversity at northern latitudes following post-Quaternary-glaciation expansion, the ephemeral nature of divergence in S. occidentalis has produced centres of high genetic diversity for different reasons in the south (long-term stability) vs. the north (secondary contact).

Minji K Lee,1 Jennifer L St Sauver,1,2 Roger T Anderson,3 Mark Linzer,4 David T Eton1,2 1Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA; 2Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; 3Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA; 4Hennepin Healthcare, Minneapolis, Minnesota, USA, University of Minnesota Medical School, Minneapolis, MN, USACorrespondence: Minji K LeeRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Harwick Building, Second Floor, 200 First St SW, Rochester, MN 55905, USATel +1 507 284 1310Email Lee.Minji@mayo.eduDavid T Eton Email eton.david@mayo.eduPurpose: To examine the factor structure and differential item functioning (DIF) of the Patient Experience with Treatment and Self-management (PETS version 2.0), a measure of treatment burden.Patients and Methods: Version 2.0 of the PETS has 60 items, extending the previously-validated 48-item version 1.0 by three domains (nine items) and three additional items in an existing domain. We conducted confirmatory factor analyses (CFA) on survey responses of 439 community-dwelling adults living with multiple chronic conditions who completed PETS version 2.0, using R packages, “lavaan” and “semTools.” We tested fit of second-order factors to explore simplifying the reporting of PETS scores. We examined DIF for the two second-order factors with “lordif” R package, testing groups by gender, education, and health literacy, using the McFadden pseudo R2 change criterion of ≥ 0.02 to flag items with DIF. Cronbach’s alpha and the intraclass correlation coefficient (ICC) were used to determine the reliability of PETS domains.Results: The first-order CFA model featuring 12 multi-item domains had an excellent fit (Comparative Fit Index [CFI]=0.989), as did the second-order CFA model (CFI=0.987), specifying two superordinate factors of treatment burden (workload and impact). Items in the workload and impact second-order factors did not show any DIF across gender, education, and health literacy groups as shown by McFadden pseudo R2 changes < 0.02. Cronbach’s alphas for all multi-item domain scales were ≥ 0.80, and ICCs of ten scales were ≥ 0.70, meeting the threshold for adequate test–retest reliability.Conclusion: Findings support the construct validity and reliability of PETS version 2.0. The fit of a factor model featuring superordinate (ie, second-order) factors of workload and impact supports index scoring that will simplify reporting of PETS scores. DIF analyses indicate that items from these indices can be interpreted in the same way, regardless of gender, education, or health literacy.Keywords: factor structure, patient-reported outcomes, multi-morbidity, psychometric testing, questionnaire, validation

Background The results of the Cancer and Leukemia Group B (CALGB) 9343 trial showed that radiation therapy (RT) did not improve survival for women older than 70 y with early-stage estrogen receptor + breast cancer treated with breast conserving surgery and adjuvant endocrine therapy. In 2005, guidelines were modified to allow for RT omission; however, minimal change in clinical practice has occurred. The aim of this study was to determine if CALGB long-term follow-up data have affected RT utilization, and to characterize the population still receiving RT after breast conserving surgery. Methods The Surveillance, Epidemiology, and End Results–Medicare database was used to identify women diagnosed with early-stage breast cancer from 2004 to 2015 who matched the CALGB 9343 inclusion criteria. Multivariate logistic regression was carried out to identify the factors that affect the receipt of radiation therapy. We also plotted the overall use of RT over time juxtaposed with the temporal trends of CALGB 9343 clinical trial data, guideline recommendations, and publishing of long-term survival data. Results The study cohort included 25,723 Medicare beneficiaries, of whom 20,328 (79%) received RT and 5395 (21%) did not receive RT. In a multivariate model, the frequency of RT omission increased over time, with those diagnosed in year 2015 being 2.72 times more likely to omit RT compared with those diagnosed in 2004 (95% confidence interval 2.31-3.19). Conclusions This study investigated the impact of long-term CALGB 9343 data on clinical practice. The results of this study support results from previous studies, extend the dates of analysis, and indicate that after long-term follow-up of CALGB 9343 data, RT was less used, but overall trends did not dramatically decrease.

Smoking rates in the United States are the highest in underserved rural regions. Thus, more points of contact are needed to link smokers to evidence-based cessation programs.The purpose of this study was to conduct an evaluation to determine the feasibility, acceptability, and interest among rural pharmacists in implementing a pharmacist-facilitated smoking cessation program in independent community pharmacies in rural Appalachian communities in Virginia, North Carolina, Tennessee, and West Virginia.This study utilized a complementary sequential mixed-methods approach to explore independent community pharmacists and technicians' experiences and beliefs about implementing a tobacco cessation program in their pharmacy.There were 49 pharmacists or technicians who completed the survey and 7 pharmacists who participated in the interviews. Four main findings emerged from the data: 1) pharmacies can help fill the gap in tobacco cessation services in rural communities, 2) under current practice, tobacco cessation resources when offered by independent community pharmacies are not always formalized, 3) there are known barriers, such as reimbursing for services, that need to be addressed to provide tobacco cessation in an independent pharmacy setting, and 4) the Ask-Advise-Connect model is a feasible tobacco cessation approach in a pharmacy.Although pharmacists may be ideally situated to build capacity for smoking cessation in rural areas, smoking cessation interventions need to use existing approaches that compensate pharmacists for their time spent counseling patients. Furthermore, simple documentation and billing systems are needed to maximize utilization of tobacco cessation products and services provided in the pharmacy.

Drivers have different visual demands across varying contrast and luminance conditions. However, vision assessments for driving are typically conducted under photopic conditions. This study investigated the sensitivity of photopic and mesopic conditions to detect contrast sensitivity (CS) loss in drivers with simulated media opacities. CS was measured in forty-seven healthy drivers aged 18–50 years (mean ± SD: 25.5 ± 6.5) under photopic and mesopic-adapted luminance levels with the Pelli-Robson chart and the Mesotest II (without glare). Media opacities were simulated using white-opacity containing Lee Fog filters (1–5) and CS measured in a randomised order. A significant (p p p

Background In primary care there is a need for more quality measures of person-centered outcomes, especially ones applicable to patients with multiple chronic conditions (MCCs). The aim of this study was to derive and validate a short-form version of the Patient Experience with Treatment and Self-management (PETS), an established measure of treatment burden, to help fill the gap in quality measurement. Methods Patient interviews (30) and provider surveys (30) were used to winnow items from the PETS (60 items) to a subset targeting person-centered care quality. Results were reviewed by a panel of healthcare providers and health-services researchers who finalized a pilot version. The Brief PETS was tested in surveys of 200 clinic and 200 community-dwelling MCC patients. Surveys containing the Brief PETS and additional measures (e.g., health status, medication adherence, quality of care, demographics) were administered at baseline and follow-up. Correlations and t-tests were used to assess validity, including responsiveness to change of the Brief PETS. Effect sizes (ES) were calculated on mean differences. Results Winnowing and panel review resulted in a 34-item Brief PETS pilot measure that was tested in the combined sample of 400 (mean age = 57.9 years, 50% female, 48% white, median number of conditions = 5). Reliability of most scales was acceptable (alpha > 0.70). Brief PETS scores were associated with age, income, health status, and quality of chronic illness care at baseline (P P P Conclusions The Brief PETS (final version: 32 items) is a reliable and valid tool for assessing person-centered care quality related to treatment burden. It holds promise as a means of giving voice to patient concerns about the complexity of disease management.

Tell el-Hesi is a large and important Early Bronze Age site located about 25 km east of Gaza. Much of this twenty-five-acre site was a single-period late EBIIIA fortified city. This makes the site ...

PURPOSE: The CALGB 9343 trial demonstrated that women age 70 or older with early-stage, ER+ breast cancer (BC) may safely forgo radiation therapy (RT) and be treated with breast conserving surgery (BCS) followed by adjuvant endocrine therapy (AET) alone. However, most patients in this population still undergo RT in part because AET adherence is low. We sought to develop a predictive model for AET initiation and adherence in order to improve decision-making with respect to RT omission. METHODS: Women ages 70 and older with early stage, ER+ BC were identified using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Comorbidities, socioeconomic measures, prescription medications, and demographics were collected as potential predictors. Bivariate analysis was performed to identify factors associated with AET initiation and adherence. Stepwise selection of significant predictors was used to develop logistic-regression classifiers for initiation and adherence. Model performance was evaluated using the c-statistic and other measures. RESULTS: 11,037 patients met inclusion criteria. Within the cohort, 8,703 (78.9%) patients initiated AET and 6,685 (60.6%) were adherent to AET over one year. Bivariate predictors of AET initiation were similar to predictors of adherence. The best AET initiation and adherence classifiers were poorly predictive with c-statistics of 0.65 and 0.60, respectively. CONCLUSIONS: The best models in the present study were poorly predictive, demonstrating that the reasons for initiation and adherence to AET are complex and individual to the patient, and therefore difficult to predict. Initiation and adherence to AET are important factors in decision-making regarding whether or not to forgo adjuvant RT. In order to better formulate treatment plans for this population, future work should focus on improving individual prediction of AET initiation and adherence.

PURPOSE: The purpose of this study was to test the known-groups validity and responsiveness to change of the Patient Experience with Treatment and Self-management (PETS, vs. 2.0), a measure of treatment burden. METHODS: The PETS and other standard measures were mailed at baseline and 12-month follow-up to adults living with multiple chronic conditions in southeast Minnesota (USA). A sample of 365 people (mean age = 62.1 years) completed both surveys. Baseline, 12-month, and changes in PETS burden scores were examined. Clinical anchors used to test validity included number of diagnoses (2-4 vs. 5+), mental health diagnosis (yes/no), medication adherence and health literacy (suboptimal/optimal), and changes in self-efficacy, global physical and global mental health (worsening/improving). Independent samples t-tests were used to compare scores. RESULTS: PETS scales showed good internal consistency (alphas ≥ 0.80). There were few differences across number of diagnoses, but having a mental health diagnosis was associated with higher baseline PETS burden scores (Ps < .05). Suboptimal medication adherence and health literacy over time were associated with worse 12-month PETS burden scores (Ps < .05). Compared with improvements, declines over time in self-efficacy, global physical health, and global mental health were each associated with worsening change scores on PETS impact summary, medical expenses, and bother due to medication reliance and medication side effects (Ps < .05). CONCLUSION: Among multi-morbid adults, the PETS demonstrated evidence of known-groups validity and responsiveness to change across both objective (e.g., mental health diagnoses) and subjective anchors (e.g., changes in self-efficacy, global physical and mental health).

Purpose To determine the test-retest reliability and diagnostic accuracy of a binocular optical coherence tomography (OCT) prototype (Envision Diagnostics, El Segundo, California, USA) for pupillometry. Design Assessment of diagnostic reliability and accuracy. Methods Fifty participants with relative afferent pupillary defects (RAPDs) confirmed using the swinging flashlight method (mean age 49.6 years) and 50 healthy control subjects (mean age 31.3 years) were examined. Participants twice underwent an automated pupillometry examination using a binocular OCT system that presents a stimulus and simultaneously captures OCT images of the iris-pupil plane of both eyes. Participants underwent a single examination on the RAPDx (Konan Medical, Irvine, California, USA), an automated infrared pupillometer. Pupil parameters including maximum and minimum diameter, and anisocoria were measured. The magnitude of RAPD was calculated using the log of the ratio of the constriction amplitude between the eyes. A pathological RAPD was above ±0.5 log units on both devices. Results The intraclass correlation coefficient was >0.90 for OCT-derived maximum pupil diameter, minimum pupil diameter, and anisocoria. The RAPDx had a sensitivity of 82% and a specificity of 94% for detection of RAPD whereas the binocular OCT had a sensitivity of 74% and specificity of 86%. The diagnostic accuracy of the RAPDx and binocular OCT was 88% (95% confidence interval 80%-94%) and 80% (95% confidence interval 71%-87%) respectively. Conclusions Binocular OCT-derived pupil parameters had excellent test-retest reliability. The diagnostic accuracy of RAPD was inferior to the RAPDx and is likely related to factors such as eye movement during OCT capture. As OCT becomes ubiquitous, OCT-derived measurements may provide an efficient method of objectively quantifying the pupil responses.

BACKGROUND The purpose of this study was to estimate the proportion of Chinese cancer survivors experiencing financial hardship and then examine the relationship between material and behavioral financial hardship. METHODS This study surveyed 964 cancer survivors who were 30 to 64 years old and 644 survivors who were 65 years old or older during 2015-2016 (1608 survivors in all). Material financial hardship was measured by whether they had borrowed money because of cancer, its treatment, or the lasting effects of treatment, and behavioral financial hardship was measured by whether they had forgone some cancer-related medical care because of cost. Multivariable logistic regression models were used to examine factors associated with material financial hardship by age group. RESULTS Approximately 44% of the cancer survivors who were 65 years old or older borrowed money or went into debt because of cancer, and 54% of younger patients (P

Using long-term survival data from the C9343 trial as a temporal reference point, this study aimed to determine radiation therapy (RT) treatment trends for older patients with early-stage breast cancer. The study also examined rates of adherence to adjuvant endocrine therapy (AET). The surveillance, epidemiology, and end results–medicare database was used to identify women with a diagnosis of breast cancer from 2007 through 2016. Bivariate associations were calculated to determine variable characteristics by time frame (group 1: 2007–2012 vs. group 2: 2013–2016). Multivariate logistic regression was used to estimate the effect of group on the RT use and AET adherence. The temporal rates for both RT and AET adherence over time were plotted. The final study cohort included 12,210 Medicare beneficiaries. Use of RT differed significantly between the groups, with a higher proportion omitting RT in the later period (25% of group 2 vs. 20% of group 1; p

Objective New breast screening modalities are being investigated to address the need for more sensitive breast cancer screening in women with dense breasts. We investigated the preferences and attitudes of these patients regarding adjunct screening modalities to help evaluate the acceptability of these exams. Methods In this institutional review board–approved prospective study, patients with dense breasts on their prior mammogram were invited to complete a survey. Patients were asked to estimate their personal breast cancer risk compared with peers, indicate their level of concern related to screening callbacks, radiation exposure, and intravenous (IV) contrast allergies, and identify which factors might deter them from getting adjunct screening exams. Results Five hundred eight patients with dense breasts presenting for screening mammography completed surveys. While most patients (304/508, 59.9%) felt it was likely or very likely that cancer could be missed on their mammogram, only 8.9% (45/508) had undergone adjunct screening exams in the past 3 years. The most commonly cited deterrents to adjunct screening were cost (340/508, 66.9%), pain (173/508, 34.1%), and concern that adjunct screening could lead to additional procedures (158/508, 31.1%). When asked to select among three hypothetical breast cancer screening modalities, patients strongly preferred the more sensitive examination, even if this involved greater cost (162/508, 31.9%) or IV-contrast administration (315/508, 62.0%). Conclusion Our data suggest that patients with dense breasts prefer adjunct screening exams that are both sensitive and inexpensive, although an increase in sensitivity could outweigh additional cost or even IV-line placement.

OBJECTIVE To examine trends in uninsured rates between 2012 and 2016 among low-income adults aged RESEARCH DESIGN AND METHODS Data for 3,129 U.S. counties, obtained from the Small Area Health Insurance Estimates and Area Health Resources Files, were used to analyze trends in uninsured rates among populations with a household income ≤138% of the federal poverty level. Multivariable analysis adjusted for the percentage of county populations aged 50–64 years, the percentage of women, Distressed Communities Index value, and rurality. RESULTS In 2012, 39% of the population in the Diabetes Belt and 34% in non-Belt counties were uninsured (P < 0.001). In 2016 in states where Medicaid was expanded, uninsured rates declined rapidly to 13% in Diabetes Belt counties and to 15% in non-Belt counties. Adjusting for county demographic and economic factors, Medicaid expansion helped reduce uninsured rates by 12.3% in Diabetes Belt counties and by 4.9% in non-Belt counties. In 2016, uninsured rates were 15% higher for both Diabetes Belt and non-Belt counties in the nonexpansion states than in the expansion states. CONCLUSIONS ACA-driven Medicaid expansion was more significantly associated with reduced uninsured rates in Diabetes Belt than in non-Belt counties. Initial disparities in uninsured rates between Diabetes Belt and non-Belt counties have not existed since 2014 among expansion states. Future studies should examine whether and how Medicaid expansion may have contributed to an increase in the use of health services in order to prevent and treat diabetes in the Diabetes Belt.

For patients with diabetes, annual preventive care is essential to reduce the risk of complications. Local healthcare resources affect the utilization of diabetes preventive care. Our objectives were to evaluate the relative efficiency of counties in providing diabetes preventive care and explore potential to improve efficiencies. The study setting is public and private healthcare providers in US counties with available data. County-level demographics were extracted from the Area Health Resources File using data from 2010 to 2013, and individual-level information of diabetes preventive service use was obtained from the 2010 Behavioral Risk Factor Surveillance System. 1112 US counties were analyzed. Cluster analysis was used to place counties into three similar groups in terms of economic wellbeing and population characteristics. Group 1 consisted of metropolitan counties with prosperous or comfortable economic levels. Group 2 mostly consisted of non-metropolitan areas between distress and mid-tier levels, while Group 3 were mostly prosperous or comfortable counties in metropolitan areas. We used data enveopement analysis to assess efficiencies within each group. The majority of counties had modest efficiency in providing diabetes preventive care; 36 counties (57.1%), 345 counties (61.1%), and 263 counties (54.3%) were inefficient (efficiency scores

Background Colorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities. Methods County- and city-level cross-sectional data for 2011–2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression. Results For incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region. Conclusions Rurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.

Green stimuli are more difficult to detect than red stimuli in the retinal periphery, as reported previously. We examined the spatial characteristics of chromatic mechanisms using stimuli, modulated from an achromatic background to each pole of the “red–green” cardinal axis in DKL space at 20 deg eccentricity. The “blue–yellow” cardinal axis was also studied for comparison. By measuring both grating discrimination at the resolution limit (resolution acuity) and spatial summation, assessed by the Michaelis–Menten function, we demonstrated a marked “red–green” asymmetry. The resolution acuity was worse and spatial summation more extended for “green” compared to “red” stimuli, while showing significant individual variations. Ricco’s area was also measured, but not determined for “green” spots because of the poor small stimuli detection. These results cannot be explained by differences in L- and M-cone numerosity and/or spatial arrangement, but rather have postreceptoral origin, probably at the cortical level.