Insulin resistance contributes to racial disparities in breast cancer prognosis in US women.

BACKGROUND: Racial disparities in breast cancer survival between Black and White women persist across all stages of breast cancer. The metabolic syndrome (MetS) of insulin resistance disproportionately affects more Black than White women. It has not been discerned if insulin resistance mediates the link between race and poor prognosis in breast cancer. We aimed to determine whether insulin resistance mediates in part the association between race and breast cancer prognosis, and if insulin receptor (IR) and insulin-like growth factor receptor (IGF-1R) expression differs between tumors from Black and White women. METHODS: We conducted a cross-sectional, multi-center study across ten hospitals. Self-identified Black women and White women with newly diagnosed invasive breast cancer were recruited. The primary outcome was to determine if insulin resistance, which was calculated using the homeostatic model assessment of insulin resistance (HOMA-IR), mediated the effect of race on prognosis using the multivariate linear mediation model. Demographic data, anthropometric measurements, and fasting blood were collected. Poor prognosis was defined as a Nottingham Prognostic Index (NPI) > 4.4. Breast cancer pathology specimens were evaluated for IR and IGF-1R expression by immunohistochemistry (IHC). RESULTS: Five hundred fifteen women were recruited (83% White, 17% Black). The MetS was more prevalent in Black women than in White women (40% vs 20%, p < 0.0001). HOMA-IR was higher in Black women than in White women (1.9 ± 1.2 vs 1.3 ± 1.4, p = 0.0005). Poor breast cancer prognosis was more prevalent in Black women than in White women (28% vs 15%. p = 0.004). HOMA-IR was positively associated with NPI score (r = 0.1, p = 0.02). The mediation model, adjusted for age, revealed that HOMA-IR significantly mediated the association between Black race and poor prognosis (ß = 0.04, 95% CI 0.005-0.009, p = 0.002). IR expression was higher in tumors from Black women than in those from White women (79% vs 52%, p = 0.004), and greater IR/IGF-1R ratio was also associated with higher NPI score (IR/IGF-1R >  1: 4.2 ± 0.8 vs IR/IGF-1R = 1: 3.9 ± 0.8 vs IR/IGF-1R < 1: 3.5 ± 1.0, p < 0.0001). CONCLUSIONS: In this multi-center, cross-sectional study of US women with newly diagnosed invasive breast cancer, insulin resistance is one factor mediating part of the association between race and poor prognosis in breast cancer.

Factors Affecting the Completion of Adjuvant Chemotherapy in Early-Stage Breast Cancer.

BACKGROUND: Despite the survival benefit associated with adjuvant chemotherapy in early-stage breast cancer, many do not complete treatment. This study identified factors associated with noncompletion of adjuvant chemotherapy among a select population of women with early-stage breast cancer. METHODS: The study sample was obtained from a multicenter study designed to evaluate patient-assistance program usage among early-stage breast cancer patients requiring adjuvant therapy. In this study, 333 patients with stages I and II breast cancer undergoing surgery from October 2006 to September 2009 completed 6-month follow-up surveys assessing their experiences with care, health status, social support, self-efficacy, and treatment beliefs. In- and outpatient medical records were abstracted to assess treatment completion. Of the 333 patients, 198 initiated adjuvant chemotherapy and formed our study cohort. The study compared patients who did and did not complete adjuvant chemotherapy. RESULTS: The median patient age was 53 years (range 28-86 years). According to self-identification, 41 % of the patients were non-Hispanic white and 21 % were black. A total of 13 patients (7 %) did not complete adjuvant chemotherapy. In the bivariate analysis, the patients not completing chemotherapy were more likely to be black and unmarried women with low emotional social support and a poor body image after treatment. In the multivariate analysis, black race [odds ratio (OR) 5.62; 95 % confidence interval (CI) 1.63-20.36] and poor body image (OR 9.75; 95 % CI 2.12-95.95) were independently associated with noncompletion of chemotherapy. CONCLUSIONS: Overall chemotherapy noncompletion rates were low among women exposed to patient-assistance programs. However, poor body image and black race were independent predictors of uncompleted chemotherapy. The true impact of race in this group may result from social factors that occur more often among black women, including poor social support.

Metabolic syndrome and pre-diabetes contribute to racial disparities in breast cancer outcomes: hypothesis and proposed pathways.

BACKGROUND: Women with obesity and type 2 diabetes (T2D) are at greater risk of dying from breast cancer than women without these conditions. Obesity and T2D are associated with insulin resistance and endogenous hyperinsulinemia and are more common in Black women. There is increasing disparity in breast cancer mortality between Black and White women in the USA. We hypothesize that insulin resistance and endogenous hyperinsulinemia in Black women with breast cancer contribute to their greater breast cancer mortality and are associated with increased insulin receptor signalling in tumours. METHODS: We will recruit 350 Black women and 936 White women with newly diagnosed breast cancer. We will determine the presence or absence of the metabolic syndrome/pre-diabetes and insulin resistance by measuring body mass index, waist circumference, lipids, blood pressure, glucose, insulin-like growth factor binding protein 1 and insulin. Breast cancer prognosis will be determined by a Nottingham Prognostic Index (NPI), with poor prognosis being defined as NPI >4.4. Tumour insulin receptor signalling will be determined by immunohistochemistry. Insulin receptor subtype expression will be measured using Nanostring. Analysis of these factors will determine whether endogenous hyperinsulinemia is associated with a worse prognosis in Black women than White women and increased tumour insulin receptor signalling. CONCLUSIONS: The results of this study will determine if the metabolic syndrome and pre-diabetes contribute to racial disparities in breast cancer mortality. It may provide the basis for targeting systemic insulin resistance and/or tumour insulin receptor signalling to reduce racial disparities in breast cancer mortality. Copyright © 2016 John Wiley & Sons, Ltd.

Understanding the challenges of adjuvant treatment measurement and reporting in breast cancer: cancer treatment measuring and reporting.

BACKGROUND: Healthcare accrediting organizations and insurers increasingly require reporting of clinical data, and cancer treatment is one area of enhanced scrutiny. OBJECTIVES: To compare rates of received versus reported adjuvant breast cancer treatments, and to assess barriers to measuring and reporting treatments to the tumor registry (TR) of a high-volume medical center with both hospital-based and community-based oncologists. RESEARCH DESIGN: We calculated rates of received treatments using data collected using chart abstraction (N=115) and compared these with rates of reported treatments from the TR (N=535). We conducted 31 indepth interviews with clinical and administrative informants. Asking about perceptions of the TR, current reporting methods, and reporting barriers. Interviews were recorded, transcribed, and analyzed using deductive and inductive methods. RESULTS: : Rates of reported versus received treatments were radiation therapy after breast-conserving surgery 22% versus 84% (P < 0.0001); chemotherapy for stage 2 or 3: 17% versus 79% (P < 0.0001); hormonal therapy for stage 2 or 3: 1% versus 91% (P < 0.0001). Comparing community-based versus hospital-based oncologists' rates reported to the TR, we found the following differences: radiation therapy post-breast conserving surgery 12% versus 32% (< 0.0001); chemotherapy 8% versus 29% (< 0.0001); and hormonal therapy 0% versus 3% (0.09). We found 4 key barriers to measuring and reporting poor understanding about the TR, limited information technology capabilities, poor communication, and mistrust. CONCLUSIONS: : Efforts to improve cancer care quality by improved treatment reporting must overcome key barriers, especially those involving information exchange and mistrust. Communications between the TR and oncology practices must improve to facilitate better treatment measurement and reporting.

Breast cancer treatment decision-making: are we asking too much of patients?

OBJECTIVE: Physicians are mandated to offer treatment choices to patients, yet not all patients may want the responsibility that entails. We evaluated predisposing factors for, and long-term consequences of, too much and not enough perceived decision-making responsibility among breast cancer patients. DESIGN: Longitudinal assessment, with measurements collected just after surgical treatment (baseline) and 6-month follow-up. PARTICIPANTS: Women with early-stage breast cancer treated surgically at eight NYC hospitals, recruited for a randomized controlled trial of patient assistance to improve receipt of adjuvant treatment. MEASUREMENTS: Using logistic regression, we explored multivariable-adjusted associations between perceived treatment decision-making responsibility and a) baseline knowledge of treatment benefit and b) 6-month decision regret. RESULTS: Of 368 women aged 28-89 years, 72 % reported a "reasonable amount", 21 % "too much", and 7 % "not enough" responsibility for treatment decision-making at baseline. Health literacy problems were most common among those with "not enough" (68 %) and "too much" responsibility (62 %). Only 29 % of women had knowledge of treatment benefits; 40 % experienced 6-month decision regret. In multivariable analysis, women reporting "too much" vs. "reasonable amount" of responsibility had less treatment knowledge ([OR] = 0.44, [95 % CI] = 0.20-0.99; model c = 0.7343;p < 0.01) and more decision regret ([OR] = 2.,91 [95 % CI] = 1.40-6.06; model c = 0.7937;p < 0.001). Findings were similar for women reporting "not enough" responsibility, though not statistically significant. CONCLUSION: Too much perceived responsibility for breast cancer treatment decisions was associated with poor baseline treatment knowledge and 6-month decision regret. Health literacy problems were common, suggesting that health care professionals find alternative ways to communicate with low health literacy patients, enabling them to assume the desired amount of decision-making responsibility, thereby reducing decision regret.

Impact of a Novel Goals-of-Care Communication Skills Coaching Intervention for Practicing Oncologists.

Background: Oncologists routinely have opportunities for goals-of-care (GoC) discussions with patients. GoC discussions increase the likelihood that patients receive care consistent with their values. However, oncologists often feel ill-equipped to discuss end-of-life care. Objective: To assess the impact of a communication training and coaching intervention (INT) for oncologists during GoC discussions. Design: We randomized oncologists to usual care (UC) or a communication skills training INT, which consisted of an interactive training session and four joint visits with communication coaches. Setting/Subjects: Solid tumor oncologists seeing advanced cancer patients at four hospitals in New York and Connecticut. Measurements: Three blinded coders evaluated recorded encounters before and after INT using a validated tool to assess skill attainment. Results: Oncologists (n = 22) were 32% female and averaged 46 years of age. In baseline visits, INT oncologists (n = 11) and UC oncologists (n = 11) had no difference in the number of mean skills employed out of 8 GoC skills (INT 3.5, UC 2.4; p = 0.18). Post-INT, INT oncologists were significantly more likely to elicit patient values (55% vs. 0%; p = 0.01). There was no significant difference in overall mean skills employed (INT 3.4, UC 2.2; p = 0.14). Assessing for understanding, offering "I wish" statements, and providing prognosis were the least utilized skills among all oncologists. Conclusion: Our real-time communication skills coaching INT resulted in a significant increase in oncologists' ability to elicit patient values during GoC discussions, suggesting that skill acquisition can occur in the face of less intensive training. Future studies can highlight gaps leading to the lack of differences in utilization of other skills.

Conducting Goals-of-Care Discussions Takes Less Time Than Imagined.

PURPOSE: To describe the length of encounter during visits where goals-of-care (GoC) discussions were expected to take place. METHODS: Oncologists from community, academic, municipal, and rural hospitals were randomly assigned to receive a coaching model of communication skills to facilitate GoC discussions with patients with newly diagnosed advanced solid-tumor cancer with a prognosis of < 2 years. Patients were surveyed after the first restaging visit regarding the quality of the GoC discussion on a scale of 0-10 (0 = worst; 10 = best), with ≥ 8 indicating a high-quality GoC discussion. Visits were audiotaped, and total encounter time was measured. RESULTS: The median face-to-face time oncologists spent during a GoC discussion was 15 minutes (range, 10-20 minutes). Among the different hospital types, there was no significant difference in encounter time. There was no difference in the length of the encounter whether a high-quality GoC discussion took place or not (15 v 14 minutes; P = .9). If there was imaging evidence of cancer progression, the median encounter time was 18 minutes compared with 13 minutes for no progression (P = .03). In a multivariate model, oncologist productivity, patient age, and Medicare coverage affected duration of the encounter. CONCLUSION: Oncologists can complete high-quality GoC discussions in 15 minutes. These data refute the common misperception that discussing such matters with patients with advanced cancer requires significant time.

Impact of High-Quality Goals-of-Care Discussions on Oncologist Productivity.

PURPOSE: To study factors that have an impact on the conduct of high-quality goals of care (GoC) discussions and productivity of oncologists among four different practice settings in patients with advanced cancer. METHODS: Solid-tumor oncologists from community, academic, municipal, and rural hospitals were randomly assigned to receive a coaching model of communication skills to help them facilitate a GoC discussion with newly diagnosed patients with advanced cancer who had a less-than-2-year prognosis. Patients were surveyed after the first restaging visit regarding the quality of the GoC discussion on a scale of 0 to 10 (0, worst; 10, best) with a score of 8 or better indicating a high-quality GoC discussion. Productivity was measured by work revenue value units (wRVUs) per hour for the day each oncologist saw the study patient after imaging. RESULTS: The four sites differed significantly in the socioeconomic patient populations they served and in the characteristics of the oncologists who cared for the patients. Overall median productivity across the four sites was 3.6 wRVU/hour, with the highest observed in the community hospital (4.3 wRVU/hour) and the lowest in the rural setting (2.9 wRVU/hour; P < .001). There was no significant difference in productivity observed when high-quality GOC discussion occurred versus when it did not (3.6 v 3.7 wRVU/hour; P = .86). CONCLUSION: Despite differences in patient populations and oncologists' characteristics between the four practice settings, the conduct of high-quality GoC discussions did not affect productivity.

Breast Cancer: Does Type of Hospital Where You Get Surgery Affect Survival?

Under the Affordable Care Act (ACA), more women are insured with Medicaid, which should improve healthcare access. We sought to determine whether there are survival differences among patients with breast cancer undergoing surgery at facilities with varying proportions of Medicaid patients. We used New York State (NYS) Vital Statistics death records data linked with NYS discharge inpatient and ambulatory surgery databases to examine 90-day survival after surgery from 2008 to 2013. We used all Medicaid discharges to calculate and create quintiles of facilities based on Medicaid volume. We calculated survival hazard ratios using a marginal Cox model controlling for clustering of patients within hospitals, age, race, insurance, year of surgery, and comorbidities. Women who received surgery in facilities with the highest quintile of Medicaid volume had higher 90-day mortality (2.1% vs. 0.07%, p < .001) compared with those treated in facilities with lowest Medicaid volume, even after adjusting for multiple confounders. Consequently, although the ACA may improve access, healthcare quality remains questionable because patients treated at facilities with high proportions of Medicaid volume appear to have worse 90-day survival, likely due to quality of surgical and postsurgical care. Policymakers must ensure that quality of care is not negatively impacted by programs to reduce costs.

Thirty-Day Readmissions in Patients With Metastatic Cancer: Room for Improvement?

PURPOSE: Cancer, with readmission rates as high as 27%, has thus far been excluded from most readmission reduction efforts. However, some readmissions for patients with advanced disease may be avoidable. We assessed the prevalence of potentially preventable readmissions and associated factors in patients with metastatic cancer. PATIENTS AND METHODS: Using a merged longitudinal data set of New York State hospital discharges and vital records, we measured 30-day readmissions for anemia, dehydration, diarrhea, emesis, fever, nausea, neutropenia, pain, pneumonia, and sepsis among patients with metastatic cancer between 2012 and 2014. We used competing-risk models to assess the effects of demographics, comorbidities, hospital type, payer, and discharge disposition. RESULTS: A total of 11,275 patients had 19,307 hospitalizations. The 30-day readmission rate was 24.5%; 11.9% (n = 565) of readmissions were potentially preventable. Higher readmission rates occurred in black (hazard rate [HR], 1.26; 95% CI, 1.17 to 1.35), Hispanic (HR, 1.19; 95% CI, 1.09 to 1.31), and younger patients (HR per 10 years, 0.94; 95% CI, 0.90 to 0.97). Lower rates were associated with female sex (HR, 0.95; 95% CI, 0.91 to 0.99), private insurance (HR, 0.87; 95% CI, 0.87 to 0.81), teaching hospitals, and hospice discharge (HR, 0.62; 95% CI, 0.42 to 0.91). Discharge home with services (HR, 1.21; 95% CI, 1.14 to 1.27) or to a skilled nursing facility (HR, 1.11; 95% CI, 1.01 to 1.23) increased readmission likelihood. Potentially preventable readmissions were associated with younger age (HR per 10 years, 0.98; 95% CI, 0.98 to 0.99) and discharge home with services (HR, 1.25; 95% CI, 1.04 to 1.50). Likelihood decreased if care was received at a teaching hospital (HR, 0.76; 95% CI, 0.59 to 0.99). Payer, sex, race, and comorbidities did not contribute. CONCLUSION: Although the overall rate of potentially preventable readmissions among patients with metastatic cancer is low, higher readmission rates among those discharged home with help suggest that services supplied may not be sufficient to address health needs.

The effect of modifiable risk factors on breast cancer aggressiveness among black and white women.

INTRODUCTION: Although breast cancer incidence is higher among white women, black women are more likely to have aggressive tumors with less favorable histology, and to have a worse prognosis. Obesity and alcohol consumption have been identified as two modifiable risk factors for breast cancer, while physical activity may offer protection. Little however is known about the association of these factors with race on the severity of breast cancer. METHODS: Data collected as part of a large prospective study looking at insulin resistance and race among women with breast cancer was queried for patient characteristics, lifestyle factors and tumor characteristics. The association with Nottingham Prognostic Index (NPI) was assessed with different models using univariate and multivariate linear regression. RESULTS: Among 746 women in our cohort, 82% (n = 615) were white and 18% (n = 131) were black, mean age 58 years. Black patients were more likely to have high BMI (31.0 vs. 26.7, p < 0.0001), comorbidities (69% vs 55%, p = 0.01), self-reported poor diet (70% vs 42%, p < 0.001), be sedentary (56% vs 46%, p = 0.03) and were less likely to consume alcohol (8% vs 32%, p < 0.0001) compared to white patients. Overall, 137 (18%) of the patients had poorer prognosis (NPI > 4.4), which was significantly associated with younger age (55.6 vs 58.5 years, p = 0.02), black race (27% vs 15%, p = 0.001), triple negative cancer (15% vs 6%, p = 0.003), and poor diet (54% vs 45%, p = 0.046) compared to patients with better prognosis (NPI ≤ 4.4). On multivariate analysis, (model R2 = 0.12; p < 0.001), age (ß = -0.011 per year, p = 0.002), healthy diet (ß = -0.195, p = 0.02), and exercise (ß = -0.004, p = 0.02) were associated with better prognosis, while black race (ß = 0.247, p = 0.02) and triple negative cancer (ß = 0.908, p < 0.0001) were associated with poor prognosis. Neither alcohol use nor BMI was significantly associated with NPI. CONCLUSION: Among modifiable risk factors, diet and exercise are associated with NPI. Unmodifiable factors including race and biologic subtype remain the most important determinants of prognosis.

Awareness of genetic testing for cancer among United States Hispanics: the role of acculturation.

BACKGROUND: The purpose of this study was to determine how acculturation affected awareness of genetic testing for cancer among Hispanic Americans. METHODS: Subjects were 10,883 Hispanic respondents from the 2000 and 2005 National Health Interview Surveys. Acculturation was measured with language use and the length of time subjects had lived in the US. Weighted logistic regression was used to determine subjects' awareness of genetic susceptibility testing. RESULTS: Greater use of English (adjusted odds ratio, OR = 1.25, 95% confidence interval, CI = 1.15-1.36) was associated with increased awareness of genetic testing. Residence in the US for less than 5 years (adjusted OR = 0.55, 95% CI 0.36-0.83) was associated with lower awareness of testing. CONCLUSIONS: To better inform diverse American groups about genetic testing, intercultural variations and language skills must be taken into account.

Secondary Surgery Versus Chemotherapy for Recurrent Ovarian Cancer.

OBJECTIVE: The best course of treatment for recurrent ovarian cancer is uncertain. We sought to determine whether secondary cytoreductive surgery for first recurrence of ovarian cancer improves overall survival compared with other treatments. MATERIALS AND METHODS: We assessed survival using Surveillance, Epidemiology and End Results-Medicare data for advanced stage ovarian cancer cases diagnosed from January 1, 1997 to December 31, 2007 with survival data through 2010 using multinomial propensity weighted finite mixture survival regression models to distinguish true from misclassified recurrences. Of 35,995 women ages 66 years and older with ovarian cancer, 3439 underwent optimal primary debulking surgery with 6 cycles of chemotherapy; 2038 experienced a remission. RESULTS: One thousand six hundred thirty-five of 2038 (80%) women received treatment for recurrence of whom 72% were treated with chemotherapy only, 16% with surgery and chemotherapy and 12% received hospice care. Median survival of women treated with chemotherapy alone, surgery and chemotherapy, or hospice care was 4.1, 5.4, and 2.2 years, respectively (P<0.001). Of those receiving no secondary treatments, 75% were likely true nonrecurrences with median survival of 15.9 years and 25% misclassified with 2.4 years survival. Survival among women with recurrence was greater for those treated with surgery and chemotherapy compared with chemotherapy alone (hazard ratio=1.67; 95% confidence interval, 1.13-2.47). Women who were older with more comorbidities and high-grade cancer had worse survival. CONCLUSIONS: Secondary surgery with chemotherapy to treat recurrent ovarian cancer increases survival by 1.3 years compared with chemotherapy alone and pending ongoing randomized trial results, may be considered a standard of care.

Caution Ahead: Research Challenges of a Randomized Controlled Trial Implemented to Improve Breast Cancer Treatment at Safety-Net Hospitals.

PURPOSE: To implement and test a Web-based tracking and feedback (T&F) tool to close referral loops and reduce adjuvant breast cancer treatment underuse in safety-net hospitals (SNHs). PATIENT AND METHODS: We randomly assigned 10 SNHs, identified patients with new stage 1 to stage 3 breast cancer, assessed their connection with the oncologist, and relayed this information to surgeons for follow-up. We interviewed key informants about the tool's usefulness. We conducted intention-to-treat and pre- and poststudy analyses to assess the T&F tool and implementation effectiveness, respectively. RESULTS: Between the study start and intervention implementation, several hospitals reorganized care delivery and 49% of patients scheduled to undergo breast cancer surgery were ineligible because they already were in contact with an oncologist. One high-volume hospital closed. Despite randomization of hospitals, intervention (INT) hospitals had fewer white patients (5% v 16%; P = .0005), and more underuse (28% v 15%; P = .002) compared with usual care (UC) hospitals. Over time, INT hospitals with poorer follow-up significantly reduced underuse compared with UC hospitals (INT hospitals, from 33% to 9%, P = .001 v UC hospitals, from 15% to 11%, P = .5). There was no difference in underuse (9% at INT hospitals, 11% at UC hospitals; P = .8). Hospitals with better follow-up (odds ratio, 0.85; 95% CI, 0.73 to 0.98) had less underuse. In settings with poor follow-up and tracking approaches, key informants found the tool useful. The rapidly changing delivery landscape posed significant challenges to this implementation research. CONCLUSION: A T&F tool did not significantly reduce adjuvant underuse but may help reduce underuse in SNHs with poor follow-up capabilities. Inability to discern T&F effectiveness is likely due to encountered challenges that inform lessons for future implementation research.

Statin Use and Breast Cancer Prognosis in Black and White Women.

Studies show decreased risk of breast cancer recurrence and improved survival with statin use, but data on racial disparities regarding breast cancer prognosis and statin use are lacking. Our objective was to investigate if racial disparities in breast cancer prognosis can be partially explained by differences in pre-diagnosis statin use. Patients were identified from a prospective, multicenter study examining the effects of metabolic factors on breast cancer prognosis in Black and White women. Statin use, prognosis (as measured by Nottingham Prognostic Index), anthropometric, tumor, and socio-demographic characteristics were examined. Five hundred eighty-seven women (487 White, 100 Black) with newly diagnosed primary invasive breast cancer were recruited. Obesity was more prevalent in Black women than White women (47 vs 19%, p < 0.01); both groups had similar low-density lipoprotein (LDL) cholesterol levels (113 ± 41 vs 113 ± 36 mg/dl, p = 0.90). More Black women used statins than White women (18 vs 11%, p = 0.06). Black women had a worse prognosis in an adjusted model than White women (OR 2.13 95% CI 1.23-3.67). Statin use was not associated with prognosis in unadjusted (OR 1.03, 95% CI 0.53-2.0) and adjusted models (OR 1.14, 95% CI 0.56-2.31). In women with newly diagnosed breast cancer, Black women were more likely to be treated with statins than White women, contrary to previous studies. Black women had worse prognosis than White women, but this difference was not explained by differences in pre-diagnosis statin use. Our study suggests that differences in pre-diagnosis statin use do not contribute to racial disparities in breast cancer prognosis.

Intraurban influences on physician colorectal cancer screening practices.

BACKGROUND: Community social and economic resources influence colorectal (CRC) screening decisions by physicians and patients. The aim of this study is to systematically assess the differences in screening recommendations of primary care physicians within two urban communities that are distinct in socioeconomic characteristics. METHODS: Two-hundred-sixty-four primary care community (i.e., not hospital-based) physicians were stratified by community. Using self-report questionnaires, we examined primary care physicians' CRC screening practices, knowledge of risk factors and perceived physician and patient barriers to screening, Physicians practicing in upper-socioeconomic status (SES) communities were compared with those of participants practicing in lower SES communities. RESULTS: Physicians practicing in low-SES urban communities were significantly more likely to screen with fecal occult blood test than were physicians in upper-SES areas. Alternatively, upper-SES physicians were significantly more likely to recommend screening colonoscopy than were lower-SES physicians. The number of physicians (N=11) who screened for CRC using the double-contrast barium enema were few. CONCLUSIONS: Community-level SES influences physician cancer screening practices. Further understanding of these relationships may guide the development of interventions targeted to specific neighborhoods within urban areas.

Organizational Factors Affect Safety-Net Hospitals' Breast Cancer Treatment Rates.

OBJECTIVE: To identify key organizational approaches associated with underuse of breast cancer care. SETTING: Nine New York City area safety-net hospitals. STUDY DESIGN: Mixed qualitative-quantitative, cross-sectional cohort. METHODS: We used qualitative comparative analysis (QCA) of key stakeholder interviews, defined organizational "conditions," calibrated conditions, and identified solution pathways. We defined underuse as no radiation after lumpectomy in women <75 years or mastectomy in women with ≥4 positive nodes, or no systemic therapy in women with tumors ≥1 cm. We used hierarchical models to assess organizational and patient factors' impact on underuse. PRINCIPAL FINDINGS: Underuse varied by hospital (8-29 percent). QCA found lower underuse sites designated individuals to track and follow-up no-shows; shared clinical information during handoffs; had fully integrated electronic medical records enabling transfer of responsibility across specialties; had strong system support; allocated resources to cancer clinics; had a patient-centered culture paying close organizational attention to clinic patients. High underuse sites lacked these characteristics. Multivariate modeling found that hospitals with strong approaches to follow-up had low underuse rates (RR = 0.28; 0.08-0.95); individual patient characteristics were not significant. CONCLUSIONS: At safety-net hospitals, underuse of needed cancer therapies is associated with organizational approaches to track and follow-up treatment. Findings provide varying approaches to safety nets to improve cancer care delivery.

Ovarian Cancer Treatment and Survival Trends Among Women Older Than 65 Years of Age in the United States, 1995-2008.

OBJECTIVE: To evaluate whether overall survival is improving among women in the United States with advanced ovarian cancer. METHODS: This retrospective cohort study evaluated trends in treatment and overall survival for women older than 65 years diagnosed with stage III and IV epithelial ovarian cancer between 1995 and 2008 using Surveillance, Epidemiology, and End Results-Medicare data. Parametric and semiparametric multivariate survival analyses were used to assess comparative treatment survival rates and factors affecting survival and recurrence. RESULTS: Of 7,938 women who met study criteria, 2.9% received no treatment, 15.4% underwent surgery only, 24.8% received chemotherapy only, 41.8% underwent primary debulking surgery and chemotherapy in an optimal timeframe, and 15.1% had primary debulking surgery and chemotherapy, but the timing was not optimal or patients did not complete all six cycles of chemotherapy. Those who underwent surgery only had similar survival as those who received no treatment (2.2 compared with 1.7 months), whereas those who received chemotherapy only had a better overall survival (14.4 months). Optimal treatment was associated with the longest survival time (P<.001, median overall survival 39.0 months). Additionally, survival time associated with optimal treatment increased over the past decade. However, the proportion of women who received optimal treatment has decreased over the past decade. CONCLUSION: Elderly women with advanced ovarian cancer have the best survival with optimal therapy. When this is not offered or possible, chemotherapy alone offers better survival than surgery alone.

A Validation Study of Administrative Claims Data to Measure Ovarian Cancer Recurrence and Secondary Debulking Surgery.

OBJECTIVE: Administrative claims data offer an alternative to chart abstraction to assess ovarian cancer recurrence, treatment and outcomes. Such analyses have been hindered by lack of valid recurrence and treatment algorithms. In this study, we sought to develop claims-based algorithms to identify ovarian cancer recurrence and secondary debulking surgery, and to validate them against the gold-standard of chart abstraction. METHODS: We conducted chart validation studies; 2 recurrence algorithms and 1 secondary surgery among 94 ovarian cancer patients treated at one hospital between 2003-2009. A new recurrence algorithm was based on treatment timing (≥6 months after primary treatment) and a previously validated algorithm was based on secondary malignancy codes. A secondary debulking surgery algorithm was based on surgical billing codes. RESULTS: The new recurrence algorithm had: sensitivity=100% (95% confidence interval [CI]=87%-=100%), specificity=89% (95%CI=78%-95%), kappa=84% (SE=10%) while the secondary-malignancy-=code recurrence algorithm had: sensitivity=84% (95%CI=66%-94%), specificity=44% (95%CI=31%-=57%), kappa=23% (SE=8%). The secondary surgery algorithm had: sensitivity=77% (95%CI=50%-92%), = specificity= 92% (95%CI=83%-97%), kappa=66% (SE=10%).=. CONCLUSIONS: A recurrence algorithm based on treatment timing accurately identified ovarian cancer =recurrence. If validated in other populations, such an algorithm can provide a tool to compare effectiveness of recurrent ovarian cancer treatments.

Impact of Age and Life-expectancy on Treatment Receipt in High-risk Prostate Cancer

Background/Objectives:The incidence of Prostate cancer is increasing with age and active treatment of high-risk prostate cancer improves survival. However, it is uncertain how the age as contrasted with lifeexpectancy impact treatment decision-making for men with clinically significant prostate cancer. The aim of this study was to determine whether age or life expectancy affected the treatment receipt Participants:541 men with high-risk localized prostate cancer (Gleason ≥ 8 or PSA > 20) diagnosed between 2007 and 2013 were recruited to the study.Measurements:Outcome variables included treatment underuse and type of definitive therapies such as radical prostatectomy, radiotherapy, androgen deprivation therapy and cryotherapy. Life expectancy was assessed according to Schonberg Prognostic Index.Results:Among the 541 high-risk prostate cancer patients, older men (≥65 years) received definitive therapy at similar rates as younger men (97% vs 98%; p=0.2), while younger men were more likely to accept surgery compared with older men (95% vs. 72%, p<0.001). Age affected treatment choice depending on the patient's life expectancy. Among men with higher life expectancy, age did not affect surgery receipt (OR=0.62; 95%CI: 0.18-2.20). But among men with lower life expectancy, older age (OR=0.15; 95%CI: 0.06-0.38), black race (OR=0.27; 95%CI: 0.10-0.77), comorbidity (OR=0.31; 95%CI: 0.13-0.76) and non-commercial insurance (OR=0.12, 95%CI: 0.05-0.28) were associated with lower rate of surgical receipt.Conclusion:Although most high-risk prostate cancer patients undergo definitive therapy, both age and life expectancy affected the type of treatment. Clinical decisions appear to be based on patients’ medical condition and long-term outlook, rather than simply age. Non-clinical factors such as race and insurance play a role intreatment decision-making.