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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.

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

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.

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.

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).

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.

Background The present study aimed to first describe the work‐related outcomes of cancer survivors and to then identify those characteristics that influenced the decision to stop working in rural China. Methods We assessed 752 cancer survivors (residents of rural areas, working at the time of diagnosis, >1 year since completing treatment) from the cross‐sectional study “China Survey of Experiences with Cancer”. Participants reported changes in employment status, income, and the ability to perform physical jobs due to cancer, as well as the work‐related outcomes of their informal caregivers. Logistic regression analyses were used to examine the association between sociodemographic characteristics, cancer characteristics, and changes in work (ie, continue to work vs not working). Results The participants were largely farmers (96%), women (56%), younger than 65 years old (69%), and diagnosed with colorectal (31%) and breast cancer (31%). Thirty‐nine percent reported reducing working hours, and 40% reported stopping work altogether. Approximately 7% of informal caregivers also stopped working in order to take care of those diagnosed with cancer. Thirty‐three percent of cancer survivors and 5% of their informal caregivers had no source of income following treatment. Controlling for other variables, lower educational attainment, physical limitations in work, and different cancer sites were significantly associated with ending employment in both men and women, while among men specifically, we observed that older age, being unmarried, and being diagnosed at later stages were significantly associated with an end to working. Conclusion Rural cancer survivors are at a high risk for stopping work after completing treatment, and many survivors and their caregivers experience poor work‐related outcomes and economic hardship. These results highlight the importance of paying attention to the work experiences of cancer survivors in rural China., The present study aimed to first describe the long‐term effects of cancer diagnosis and treatment on the work status of cancer survivors, and to then identify those characteristics that influenced the decision to stop working in rural China

Background Little is known about health disparities in access to low-dose computed tomography (LDCT) screening. This study hypothesized that the current capacity for LDCT screening would be exceeded by the number of at-risk individuals in Virginia. Methods Cancer incidence data and adult smoking rates for Virginia were obtained from public sources between 2006 and 2012. The American College of Radiology website was queried in 2015 to identify lung cancer screening facilities in Virginia, which were surveyed. Spatial exploratory data analysis was used to examine secondary data, and descriptive analysis was used to examine primary survey data. Results Rural counties have higher lung cancer death rates and smoking rates than metropolitan counties. Despite a tremendous burden for LDCT screening in rural counties, particularly in southwest Virginia, there were only two LDCT facilities. In total, 37 accredited LDCT facilities were identified in Virginia. On average, facilities had been screening for 14.6 months and screened an average of 76 patients. Conclusions At-risk smokers in Virginia, particularly those living in rural areas with high smoking rates, do not have adequate recommended LDCT coverage. More screening centers are needed to care for the high number of rural smokers at risk for lung cancer.

BACKGROUND China accounts for approximately 27% of global cancer deaths. However, to the authors' knowledge, the lasting effects of cancer and cancer treatments on patients have not been investigated in China. The authors developed a questionnaire, the China Survey of Experiences with Cancer, for Chinese cancer survivors. This article introduces the study design and domains covered in the questionnaire. METHODS The Cancer Survivorship Supplement of the Medical Expenditure Panel Survey (MEPS) was used as a reference to develop the questionnaire. The final in-person surveys were conducted in 2015 and 2016. Samples were chosen through multistage sampling. The authors described the characteristics of the study participants and their cancer experiences. RESULTS At the time of last follow-up, a total of 1166 patients had completed at least 1 component of the survey. Approximately 59% of the cancer survivors were aged ≥60 years. Greater than one-half of the participants had an elementary education level or less (51%) and a yearly family income of

David T Eton,1,2 Roger T Anderson,3 Wendy F Cohn,3 Erin M Kennedy,3 Jennifer L St. Sauver,1,2 Bayly J Bucknell,1 Kathryn J Ruddy4 1Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; 2Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA; 3Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA; 4Department of Oncology, Mayo Clinic, Rochester, MN, USA Purpose: The purpose of this study was to identify risk factors for poor health-related quality of life (HRQL) in multi-morbid adult cancer survivors and explore whether perceived treatment and self-management burden mediate any of these relationships.Methods: Ninety-one multi-morbid cancer survivors (median age: 65 years) completed surveys at baseline and 6 months. Demographic, psychosocial, and health care-related factors were assessed as were perceived treatment burden and general HRQL (physical and mental health). Data on medical diagnoses and cancer treatment were extracted from the medical record. Bivariate correlations screened for associations between predictors and outcomes, with significant predictors entered into multivariable linear regressions to identify unique risk factors for greater treatment burden and poorer HRQL. Follow-up regressions examined whether treatment burden mediated any of the risk factor–outcome relationships.Results: Factors that correlated with higher baseline treatment burden included: having more diagnoses, less formal education, having seen more physicians in the past 6 months, having a mental health diagnosis, not having a set routine for one’s self-management, low health literacy, low self-efficacy for self-management, and low social support (Ps

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 0.80). Recurrence-free, cancer-specific, and overall survival were assessed using Cox proportional hazards models.In total, 10,719 women were identified, of whom 780 (7.3%) underwent BCS alone, 1490 (13.9%) underwent BCS + RT, 1663 (15.5%) underwent BCS + AET, and 6786 (63.3%) had BCS + RT + AET. Among women treated with BCS + AET, adherent patients had lower recurrence than did nonadherent patients (HR = 0.65, 95% CI: 0.50-0.85). With respect to adjuvant treatment combinations, there was no recurrence difference between the BCS + RT + AET group and BCS + AET group (HR = 0.81, 95% CI: 0.54-1.21). There was equivalent cancer-specific but worse overall survival in the BCS + AET group versus the BCS + AET + RT group.While BCS + RT + AET may represent overtreatment for some, AET nonadherent women who omit RT are at risk for worse outcomes. Treatment decisions regarding RT omission should be tailored to the individual patient, taking into consideration the chances of AET nonadherence and the patients' own risk tolerance.

Background Family caregivers (FCGs) play a key role in the plan of care provision for long-term cancer survivors, yet few studies have been conducted on the impact of long-term caregiving on FCGs and their employment patterns. This study aims to further our understanding of the effect that caregiving role has on FCGs by identifying what cancer-related characteristics influence reduction of employment hours among FCGs in the post-treatment phase in China. Methods A total of 1155 cancer survivors participated in this study. Patients reported changes in the employment patterns of their FCGs. Descriptive analysis looked at demographic and cancer-related characteristics of cancer survivors and types of FCGs’ employment changes in both primary- and post-treatment phases. Chi-square test was used to statistically test the association between survivors’ characteristics and changes in FCGs’ hours of labor force work in post-treatment phase. Separate multivariable logistic regression models were used to examine the relationship between cancer-related characteristics of participants and employment reduction patterns among FCGs in post-treatment phase while controlling for demographic factors. Results In the primary-treatment phase, 45.6% of all FCGs reduced their working hours and 17.4% stopped working altogether. In the post-treatment phase, 25.2% of FCGs worked fewer hours and 6.6% left the workforce completely. The results show that a higher probability of change in employment hours among FCGs is associated with the following patient characteristics: having comorbidities, receiving chemotherapy treatment, limited ability to perform physical tasks, limited ability to perform mental tasks, and diagnosis of stage II of cancer. Conclusions Care for cancer patients in both primary- and post- treatment phases may have substantial impacts on hours of formal employment of Chinese FCGs. Interventions helping FCGs balance caregiving duties with labor force work are warranted.

PURPOSE: To explore system/staff- and patient-level opportunities to improve colorectal cancer (CRC) screening within an 11-clinic Federally Qualified Health Center (FQHC) in rural Appalachia with CRC screening rates around 22%-30%. METHODS: Using a convergent parallel mixed-methods design, staff (n = 26) and patients (n = 60, age 50-75, 67% female, 83%

PURPOSE: High-value and high-quality health care requires outcome measurements to inform treatment decisions, but, to our knowledge, no standardized measurements exist to evaluate brain metastases (BMs) care. We propose a set of measurements and report on their implementation in the care of patients with BMs. METHODS: On the basis of a stakeholders’ needs assessment and review of the literature, we identified outcome and process measurements to assess the care of patients with BMs according to treatment modality. Retrospectively, we applied these indicators of care to all patients diagnosed and treated at our institution over 2 years. RESULTS: We ascertained 5 outcome and 6 process measurements of relevance in the care of BMs. When applied to 209 patients (89.7%) who received cancer treatment, 77% were alive > 90 days after diagnosis. The proportion alive at 90 days after surgery, whole-brain radiation therapy (WBRT), and stereotactic radiosurgery (SRS) was 82%, 59%, and 81%, respectively. Other performance measurements included 30-day postoperative readmission rate (6%), SRS within 30 days of surgery (79%), use of memantine with WBRT (41%), advance directives within 6 months of diagnosis (53%), and palliative care consultation for patients with poor prognosis or receiving WBRT (45%). Measurements for the 24 patients (10.3%) receiving best supportive care were advance directives documentation (67%) and referral to palliative or hospice care (83%). CONCLUSION: We propose a set of measurements to apprise quality improvement efforts, inform treatment decision-making, and to use in evaluation of the performance of interdisciplinary BMs programs. Their refinement can potentially enhance the quality and value of care delivered to patients with BMs.

Objective: The aim of this study was to compare the health-related quality of life (HR-QoL) among rural Chinese patients with upper gastrointestinal (GI) diseases at different pathological stages and to determine the factors influencing HR-QoL in this population.Methods: A cross-sectional survey was conducted in two counties in Shandong province in China from July to September 2018. Demographic and clinical characteristics were collected, and HR-QoL of patients was assessed using a set of questionnaires, including the EORTC QLQ-C30 (V3.0), the QLQ-OES18 and the QLQ-STO22. Multivariate analysis of variance (MANOVA) and Kruskal–Wallis test were used to compare the HR-QoL of patients of different pathological stage subgroups, and multivariate regression analyses were used to determine influencing factors.Results: A total of 406 patients were included in this study. The mean scores for patients with upper GI diseases were 74.88 (SD=19.15), 8.04 (SD=16.17) and 8.64 (SD=16.96) for the global QoL scale of EORTC QLQ-C30, QLQ-OES18 and QLQ-STO22, respectively. There was no significant difference in most of the scales between the precancerous and early stage groups, but a significant difference in HR-QoL between the precancerous and advanced groups as well as between early and advanced groups. Residence area, age, education level and pathological stage were the significant factors influencing HR-QoL scores, controlling for other variables.Conclusions: The overall HR-QoL of patients with advanced upper GI cancer needs to be managed as a component of cancer care. Measures should be taken to routinely identify patient symptoms so that follow-up care can alleviate patient symptom burden. Tailored treatment and care for patients with upper GI diseases of different age, educational level and pathological stage may be needed to help improve HR-QoL.

The purpose of the study was to examine health-related quality of life (HRQoL) about the most common cancers survivors (lung, stomach, colorectal, breast, and esophageal cancer) in rural China. We administrated a cross-sectional study in three counties in Shandong province from August to September 2017. The five-level EuroQol-5-dimension (EQ-5D-5L) questionnaire was used to measure the HRQoL among cancer patients at least 8 months post-diagnosis. The Chinese population-based preference trade-off time (TTO) model and discrete choice experiment (DCE) were used to convert the EQ-5D-5L utility score. Tobit regression model was used to identify independent associations between socio-demographic, clinical variables with the HRQoL. In total, 452 cancer survivors were included. The mean EQ-5D-5L utility scores and Visual Analog Scale (EQ-VAS) scores were 0.841 (SD = 0.233) and 70.35 (SD = 18.80) for cancer survivors, respectively. Among the five dimensions, 58.6% of survivors had at least slight levels of pain/discomfort, and 39.2% showed at least slight levels of anxiety/depression. The influencing factors of HRQoL included cancer stage at diagnosis, tumor site, comorbidities, annual household income, and migrant worker status (rural-to-urban migration). Compared to other cancer patients, lung cancer patients had the lowest HRQoL. Higher household income and being a migrant worker were associated with a higher HRQoL for cancer survivors. Cancer survivors in rural China have deteriorated HRQoL, and a substantial number of survivors have pain/discomfort problems. Our study provides detailed data on HRQoL of rural cancer survivors for future supportive and survivorship care in China.

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 0.001). In both groups, after adjustment for covariates, the patients with RT omitted were statistically less likely to adhere to AET [group 1: odds ratio (OR), 0.74; p 0.001 vs. group 2: OR, 0.66; p 0.001].This study, 15 years after publication of the of the C9343 trial results, showed minimal change in practice, with most older women receiving RT. Importantly, AET adherence was significantly lower in the non-RT group. For women who meet the criteria to have adjuvant RT omitted, nonadherence to AET could result in undertreatment of their breast cancer, and RT should not be considered overtreatment.

Background To explain the association between adjuvant radiation therapy after breast conserving surgery (BCS RT) and overall survival (OS) by quantifying bias due to confounding in a sample of elderly breast cancer beneficiaries in a multi-state region of Appalachia. Methods We used Medicare claims linked registry data for fee-for-service beneficiaries with AJCC stage I-III, treated with BCS, and diagnosed from 2006 to 2008 in Appalachian counties of Kentucky, Ohio, North Carolina, and Pennsylvania. Confounders of BCS RT included age, rurality, regional SES, access to radiation facilities, marital status, Charlson comorbidity, Medicaid dual status, institutionalization, tumor characteristics, and surgical facility characteristics. Adjusted percent change in expected survival by BCS RT was examined using Accelerated Failure Time (AFT) models. Confounding bias was assessed by comparing effects between adjusted and partially adjusted associations using a fully specified structural model. Results The final sample had 2675 beneficiaries with mean age of 75, with 81% 5-year survival from diagnosis. Unadjusted percentage increase in expected survival was 2.75 times greater in the RT group vs. non-RT group, with 5-year survival of 85% vs 60%; fully adjusted percentage increase was 1.70 times greater, with 5-year rates of 83% vs 71%. Quantification of incremental confounding showed age accounted for 71% of the effect reduction, followed by tumor features (12%), comorbidity (10%), dual status(10%), and institutionalization (8%). Adjusting for age and tumor features only resulted in only 4% bias from fully adjusted percent change (70% change vs 66%). Conclusion Quantification of confounding aids in determining covariates to adjust for and in interpreting raw associations. Substantial confounding was present (60% of total association), with age accounting for the largest share (71%); adjusting for age plus tumor features corrected for most of the confounding (4% bias). The direct effect of BCS RT on OS accounted for 40% of the total association.

PURPOSE: Higher mortality after a breast cancer diagnosis has been observed among women who are obese. We investigated the relationships between body mass index (BMI) and all-cause or breast cancer-specific mortality after a diagnosis of locoregional breast cancer. METHODS: Women diagnosed in 2004 with AJCC Stage I, II, or III breast cancer (n = 5394) were identified from a population-based National Program of Cancer Registries (NPCR) patterns of care study (POC-BP) drawing from registries in seven U.S. states. Differences in overall and breast cancer-specific mortality were investigated using Cox proportional hazards regression models adjusting for demographic and clinical covariates, including age- and stage-based subgroup analyses. RESULTS: In women 70 or older, higher BMI was associated with lower overall mortality (HR for a 5 kg/m(2) difference in BMI = 0.85, 95% CI 0.75–0.95). There was no significant association between BMI and overall mortality for women under 70. BMI was not associated with breast cancer death in the full sample, but among women with Stage I disease; those in the highest BMI category had significantly higher breast cancer mortality (HR for BMI ≥ 35 kg/m(2) vs. 18.5–24.9 kg/m(2) = 4.74, 95% CI 1.78–12.59). CONCLUSIONS: Contrary to our hypothesis, greater BMI was not associated with higher overall mortality. Among older women, BMI was inversely related to overall mortality, with a null association among younger women. Higher BMI was associated with breast cancer mortality among women with Stage I disease, but not among women with more advanced disease.

To examine the associations of comorbidity and chemotherapy with breast cancer- and non-breast cancer-related death.Included were women with invasive locoregional breast cancer diagnosed in 2004 from seven population-based cancer registries. Data were abstracted from medical records and verified with treating physicians when there were inconsistencies and missing information on cancer treatment. Comorbidity severity was quantified using the Adult Comorbidity Evaluation 27. Treatment guideline concordance was determined by comparing treatment received with the National Comprehensive Cancer Network guidelines. Kaplan-Meier method and multivariable Cox proportional hazards regressions were employed for statistical analyses.Of 5852 patients, 76% were under 70years old and 69% received guideline concordant adjuvant chemotherapy. Comorbidity was more prevalent in women age 70 and older (79% vs. 51%; p0.001). After adjusting for tumor characteristics and treatment, severe comorbidity burden was associated with significantly higher cancer-related mortality in older patients (Hazard Ratio [HR]=2.38, 95% CI 1.08-5.24), but not in younger patients (HR=1.78, 95% CI 0.87-3.64). Among patients receiving guideline adjuvant chemotherapy, cancer-related mortality was significantly higher in older patients (HR=2.35, 95% CI 1.52-3.62), and those with severe comorbidity (HR=3.79, 95% CI 1.72-8.33).Findings suggest that, compared to women with no comorbidity, patients with breast cancer age 70 and older with severe comorbidity are at increased risk of dying from breast cancer, even after adjustment for adjuvant chemotherapy and other tumor and treatment differences. This information adds to risk-benefit discussions and emphasizes the need for further study of the role for adjuvant chemotherapy in these patient groups.

OBJECTIVES: In 2018, women's cancers accounted for 38.6% of new cases and 26.9% of cancer deaths in females worldwide. The risk of recurrence is partially attributed to lifestyle factors linked to inflammation, including diet quality. Adherence to U.S Department of Agriculture Dietary Guidelines, measured with the Healthy Eating Index (HEI-2015), and consuming an anti-inflammatory diet, measured with the Energy-adjusted Dietary Inflammatory Index (E-DII), are found to improve quality of life and reduce recurrence risk. The purpose of this study was to investigate HEI-2015 and E-DII scores in women's cancer survivors. METHODS: Survivors of women's cancers (N = 52, 65 ± 12 yrs) were recruited to complete a demographic questionnaire and three 24-hour dietary recalls using the Nutrient Data System for Research (NDSR). HEI-2015 and E-DII scores were calculated from average intakes. Linear regression analysis was used to examine the association between demographic factors (age, BMI, education, rurality, income, financial security, years since active treatment, and weight goals) and HEI-2015 and E-DII scores. Pearson Correlation was used to examine correlation between the two. RESULTS: On average, HEI-2015 score was 55 ± 13.5 (29.7–84.6), lower than the national average, and E-DII score was -1.14 ± 2.24 (−5.66–3.22). 54% of women had anti- inflammatory (1), and 29% women had relatively neutral (−1 to 1) diets. Women with a graduate degree (P = 0.03) and who completed treatment more than 4 years prior (P = 0.01) had higher HEI-2015 scores. There were no associations between SES and E-DII scores. Most notably, higher diet quality was associated with more anti-inflammatory diets (r = −0.67, P

Introduction: Under the American Affordable Care Act, Medicare insurance beneficiaries receive free Annual Wellness Visits (AWV); there is a need to examine the effectiveness of these visits. The purpose of this study is to examine their impact on subsequent screening rates. Methods: Using 2011-2014 Medicare FFS (fee-for-service) claims data, seven preventive care services, including vaccinations and cancer screenings were compared among beneficiaries who received and did not receive AWVs. Inverse probability treatment weights were used to achieve covariate balance between groups. Results: Nonrecipients were less likely to receive any of the 7 services compared with recipients of AWVs (63% vs 88%). The total number of services that the AWVs group received was 62% higher than nonrecipients. Subgroup analyses show that wellness visits were high across age groups, race/ethnic groups, rural/urban context, and counties of different economic development status. Conclusion: These results are consistent with the view that wellness visits improve screening rates and thus serve to reduce cancer burden.

David T Eton,1,2 Jennifer L Ridgeway,1,2 Mark Linzer,3 Deborah H Boehm,4 Elizabeth A Rogers,5 Kathleen J Yost,1,2 Lila J Finney Rutten,1,2 Jennifer L St Sauver,1,2 Sara Poplau,4 Roger T Anderson6 1Department of Health Sciences Research, 2Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, 3Division of General Internal Medicine, Hennepin County Medical Center, 4Minneapolis Medical Research Foundation, 5Division of General Internal Medicine, University of Minnesota Medical School, Minneapolis, MN, 6Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA Purpose: Having multiple chronic conditions (MCCs) can lead to appreciable treatment and self-management burden. Healthcare provider relational quality (HPRQ) – the communicative and interpersonal skill of the provider – may mitigate treatment burden and promote self-management. The objectives of this study were to 1) identify the associations between HPRQ, treatment burden, and psychosocial outcomes in adults with MCCs, and 2) determine if certain indicators of HPRQ are more strongly associated than others with these outcomes.Patients and methods: This is a cross-sectional survey study of 332 people with MCCs. Patients completed a 7-item measure of HPRQ and measures of treatment and self-management burden, chronic condition distress, self-efficacy, provider satisfaction, medication adherence, and physical and mental health. Associations between HPRQ, treatment burden, and psychosocial outcomes were determined using correlational analyses and independent samples t-tests, which were repeated in item-level analyses to explore which indicators of HPRQ were most strongly associated with the outcomes.Results: Most respondents (69%) were diagnosed with ≥3 chronic conditions. Better HPRQ was found to be associated with less treatment and self-management burden and better psychosocial outcomes (P

Purpose The Appalachian region presents disproportionately high rates of chronic disease compared to the rest of the United States. Early diagnosis of diabetes through screening is an important step in reducing diabetes complications. This study examines disparities in the use of diabetes screening in Appalachia. Methods We analyzed 2009 and 2010 Behavioral Risk Factor Surveillance System data for 96,111 adults aged ≥45 years from 11 Appalachian states. Based on economic status, Appalachian counties were grouped into distressed (least affluent), at-risk, transitional, and competitive (most affluent). Logistic regression analyses were used to estimate the statistical significance and effect size of factors associated with diabetes screening. Results Competitive counties had the highest rate of diabetes screening (65.4%). At-risk counties had the lowest rate (60.3%), about 7.8% lower compared to competitive counties (P < .001). After adjusting for socioeconomic factors, differences in screening rates between county economic levels in Appalachia were not statistically significant. Among respondents ≥65 years, at-risk counties had an 8.1% lower screening rate compared to competitive counties; this difference was not adequately explained by differences in socioeconomic factors. Screening rates in distressed and transitional counties were not significantly different from competitive counties in unadjusted or adjusted models. Conclusions At-risk counties had significantly lower screening rates than competitive counties. They should receive more policy attention similar to that received by distressed counties. Social policies that improve socioeconomic status and educational attainment, and health policies that reduce barriers to access to care may reduce disparities in diabetes screening rates in the less affluent Appalachian counties.

This systematic review of the literature examined the role of tobacco use measurement in studies of cancer survivorship performed in the last ten years by National Cancer Institute-designated Cancer Centers or affiliated universities. It was intended to establish the degree to which tobacco use was considered a determining factor. The scientific articles examined for the basis of this review were acquired through PubMed, Google Scholar, references to published papers, and evidence-based papers in the cancer survivorship literature. The exhaustive review found 198 relevant to our aim. Out of the 198 studies examining cancer survivorship found to be published by NCI-designated Cancer Centers or their affiliated hospitals in the last ten years, only 21.2% measured tobacco use as a variable. Given the clear involvement of tobacco use as a risk factor for most cancers, the review determined the variable should be a key metric in epidemiological studies. This indicated the need for increasing inclusion as a key measure in all types of cancer studies, especially those performed by National Cancer Institute-designated cancer centers.

Purpose Despite being generally accepted that delays in diagnosing breast cancer are of prognostic and psychological concern, the influence of hospital characteristics on such delays remains poorly understood, especially in rural and underserved areas. However, hospital characteristics have been tied to greater efficiency and warrant further investigation as they may have implications for breast cancer care in these areas. Methods Study data were derived from the Kentucky, North Carolina, Ohio, and Pennsylvania state central cancer registries (2006-2008). We then linked Medicare enrollment files and claims data (2005-2009), the Area Resource File (2006-2008), and the American Hospital Association Annual Survey of Hospitals (2007) to create an integrated data set. Hierarchical linear modeling was used to regress the natural log of breast cancer diagnosis delay on a number of hospital-level, demographic, and clinical characteristics. Findings The baseline study sample consisted of 4,547 breast cancer patients enrolled in Medicare that lived in Appalachian counties at the time of diagnosis. We found that hospitals with for-profit ownership (P < .01) had shorter diagnosis delays than their counterparts. Estimates for comprehensive oncology services, system membership and size were not statistically significant at conventional levels. Conclusions Some structural characteristics of hospitals (eg, for-profit ownership) in the Appalachian region are associated with having shorter delays in diagnosing breast cancer. Researchers and practitioners must go beyond examining patient-level demographic and tumor characteristics to better understand the drivers of timely cancer diagnosis, especially in rural and underserved areas.

Inflammatory breast cancer (IBC) is a rare yet aggressive form of breast cancer. We examined differences in patient demographics and outcomes in IBC compared to locally advanced breast cancer (LABC) and all other breast cancer patients from the Breast and Prostate Cancer Data Quality and Patterns of Care Study (POC-BP), containing information from cancer registries in seven states. Out of 7,624 cases of invasive carcinoma, IBC and LABC accounted for 2.2% (N=170) and 4.9% (N=375), respectively. IBC patients were more likely to have a higher number (P=0.03) and severity (P=0.01) of comorbidities than other breast cancer patients. Among IBC patients, a higher percentage of patients with metastatic disease versus nonmetastatic disease were black, on Medicaid, and from areas of higher poverty and more urban areas. Black and Hispanic IBC patients had worse overall and breast cancer-specific survival than white patients; moreover, IBC patients with Medicaid, patients from urban areas, and patients from areas of higher poverty and lower education had worse outcomes. These data highlight the effects of disparities in race and socioeconomic status on the incidence of IBC as well as IBC outcomes. Further work is needed to reveal the causes behind these disparities and methods to improve IBC outcomes.