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Effects of an Outreach and Internal Navigation Program on Breast Cancer Diagnosis in an Urban Cancer Center With a Large African-American Population Sheryl G. A. Gabram, MD1,2 Mary Jo B. Lund, PhD1,2,3 Jessica Gardner, BS1 Nadjo Hatchett, CTR1 Harvey L. Bumpers, MD5 Joel Okoli, MD5 Monica Rizzo, MD1 Barbara J. Johnson1 Gina B. Kirkpatrick, MPH, MBA1 Otis W. Brawley2,4 1 Georgia Cancer Center for Excellence at Grady Health System, Emory University School of Medicine, Atlanta, Georgia. 2

Winship Cancer Institute, Emory University, Atlanta, Georgia. 3

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia. 4 Department of Hematology/Oncology, Emory University, Atlanta, Georgia. 5

Georgia Cancer Center for Excellence at Grady Health System, Morehouse School of Medicine, Atlanta, Georgia.

BACKGROUND. Compared with white women, African-American (AA) women who are diagnosed with breast cancer experience an excess in mortality. To improve outcomes, the authors implemented community education and outreach initiatives in their cancer center, at affiliated primary care sites, and in the surrounding communities. They then assessed the effectiveness of these outreach initiatives and internal patient navigation on stage of diagnosis.

METHODS. This cross-sectional study was an analysis of all women with breast cancer who were diagnosed and/or treated in the years from 2001 through 2004. The outreach initiatives were implemented in 2001; 125 trained Community Health Advocates (CHAs) provided educational programs to the community, and Patient Navigators communicated directly with patients to encourage screening, diagnostic procedures, and treatment.

RESULTS. In total, 487 patients were diagnosed/treated from 2001 through 2004. Since 2001, there were 1148 community interventions by CHAs with an estimated program attendance of >10,000 participants. In the interval from 2001 through 2004, the proportion of stage 0 (in situ) breast cancers increased from 12.4% (n 5 14) to 25.8% (n 5 33; P < .005), and there was a decline in stage IV invasive breast cancers from 16.8% (n 5 19) to 9.4% (n 5 12; P < .05). CONCLUSIONS. The outreach initiatives and internal patient navigation appear to have improved stage at diagnosis. To determine whether specific patients presented earlier as a result of specific community outreach initiatives, prospective work is underway to measure the effects of these interventions on potential stage migration. Similarly, prospective data are being collected to determine whether Patient Navigators influence treatment and appointment adherence as well as the underlying reasons for barriers to specific interventions in this underserved minority population. Cancer 2008;113:602–7.  2008 American Cancer Society.

The Community Health Advocate and Internal Navigation Programs are supported through an AVON Foundation Grant. Address for reprints: Sheryl G. A. Gabram, MD, MBA, AVON Comprehensive Breast Center, Georgia Cancer Center for Excellence at Grady, Emory University School of Medicine, Winship Cancer Institute, 1365C Clifton Road, NE, Atlanta, GA 30322; Fax: (404) 778-4255; E-mail: sgabram@ emory.edu Received November 5, 2007; revision received February 26, 2008; accepted March 26, 2008.

KEYWORDS: ethnicity, breast cancer, disparities, patient navigation, Community Health Advocates.

I

t is anticipated that, in 2007, nearly 40,910 women in the U.S. will die from breast cancer and a disproportionate number will be African-American (AA) women.1 This excess in mortality is a reflection of the marked poorer survival experienced by AA women that has persisted for decades.2 Major reasons for this disparity have been attributed to the increased number of AA women diagnosed at a later stage of disease and at younger ages, when breast cancers tend to be more aggressive and result in poorer outcomes. Treatment differences, including nonreceipt of recommended

ª 2008 American Cancer Society DOI 10.1002/cncr.23568 Published online 25 June 2008 in Wiley InterScience (www.interscience.wiley.com).

Urban Breast Cancer Navigation Program/Gabram et al.

diagnostic, surgical, and systemic treatments, also are a contributing factor.3 In response to the disparity of stage presentation in AA women, our AVON Comprehensive Breast Center (AVONCBC) at Grady Memorial Hospital in Atlanta, Georgia, set forth to impact the stage of diagnosis for this largely minority and underinsured or uninsured patient population that is served. To target the disparities in this urban healthcare setting, a program was created with intentions to raise breast cancer awareness, increase mammography screening rates, and enhance the process of receiving prevention and treatment services. The program has 2 components: Community Health Advocacy and Internal Patient Navigation. The objective of this study was to perform a cross-sectional study examining disease stage at diagnosis during the years of early implementation and the follow-up of our Community Outreach and Internal Navigation Programs and to determine whether there was a measurable impact of the programs.

MATERIALS AND METHODS The Community Outreach and Internal Navigation Programs began with informal training in 2001. In 2002, formal training programs commenced. To investigate the impact of these programs, we performed a cross-sectional study by retrospectively reviewing the records of all women who had breast cancer diagnosed and/or treated in the years 2001 through 2004 at the AVONCBC at Grady Memorial Hospital, Atlanta, Georgia. Data were obtained from the hospital tumor registry and were augmented by the Surveillance, Epidemiology, and End Results database. Beginning in 2001, with support from the AVON Foundation, 125 Community Health Advocates (CHAs) were hired and eventually received formal training as outlined in the Educational Program described in Table 1. A major goal of the CHA Program is to provide educational sessions in the community that will increase breast cancer awareness and encourage screening for breast cancer. CHAs encourage mammography screening and teach the importance of breast self-examinations. CHAs instruct participants to see a trained healthcare provider for any new breast clinical findings. The CHA Community Educational Programs take the form of interactive presentations at churches, schools, workplaces, or health fairs to encourage those in attendance to overcome their fears regarding screening and diagnosis. Adherence to breast cancer

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TABLE 1 Educational Components of the Community Health Advocate and Patient Navigator Training Programs Community Health Advocate Training Program Lesson 1: United States/Georgia Facts and Figures on Breast Cancer Lesson 2: Anatomy of the Breast and Risk Factors Lesson 3: Early Detection Practices: BSE, CBE, Mammography Lesson 4: Breast Cancer: Signs and Symptoms, Diagnosis Lesson 5: Breast Cancer Staging, Treatment, and New Technologies Lesson 6: Clinical Trials: What Are They? Lesson 7: Health Disparities: African-American Women in Cancer Lesson 8: Planning Your Program or Event Patient Navigator Training Program Additional topics Lesson 9: Effective Listening Lesson 10: Cycle of Hope Lesson 11: Coping With the Loss of a Patient Lesson 12: Patient Navigation BSE indicates breast self-examination; CBE, clinical breast examination.

screening often is impeded by personal or cultural misconceptions and barriers. The primary role of the CHAs is to increase the number of women (especially minority, medically underserved, underinsured, or uninsured women) who will consider and undergo screening by mammography. This may have a favorable impact on the stage at diagnosis of breast cancer and, ultimately, may improve outcomes. Furthermore, the education provided to the community by CHAs serves as an attempt to empower the community with the knowledge to make better decisions concerning their healthcare. During the study period, 20 CHAs received further training to become Patient Navigators (PNs). The PNs, in collaboration with the AVONCBC staff, communicate directly with any patient who has been diagnosed with breast cancer. They encourage patients to follow-up with recommended medical care, particularly those patients who are hesitant to pursue appropriate care. In conjunction with social services and case managers, the PNs also help patients access needed resources to help them overcome barriers to care (including financial concerns, transportation needs, physical needs, communication needs, difficulties with disease management, and needs for support services). The PNs provide support to our breast cancer patients throughout the treatment process. Some of the PNs also are involved with encouraging women to show up for their mammograms, especially those women who have been identified as missing several appointments. Through this mechanism, PNs also may contribute to decreasing the stage at presentation for patients with newly diagnosed breast cancer in our system.

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FIGURE 1. All patients from 2001 to 2004 by stage of disease and year of diagnosis.

FIGURE 3. Paradigm for explaining reasons for cancer disparities.

DISCUSSION

FIGURE 2. Stage migration from 2001 to 2004 with increases in stage 0 breast cancer patients and decreases in stage IV breast cancer patients noted.

RESULTS Since the inception of the CHA and PN programs in 2001 through 2004, in total, there were 1148 community interventions by CHAs with an estimated attendance of greater than 10,000 participants. During this same interval (from 2001 through 2004), 487 patients were identified, diagnosed, and treated for breast cancer at the AVONCBC. The population from this urban hospital setting consisted of 89% AA women, 5% white women, 2% Hispanic women, and 4% women of other race/ethnicity. Figure 1 illustrates all patients by stage and year of diagnosis. Figure 2 highlights the significant increase in the proportion of stage 0 (in situ) breast cancers from 12.4% (n 5 14) to 25.8% (n 5 33; p < .005). There was a simultaneous decline in the proportion of stage IV invasive breast cancers from 16.8% (n 5 19) to 9.4% (n 5 12; p < .05).

Factors that contribute to both later stage ay diagnosis and poorer outcome among AA women include differences in diagnosis, tumor characteristics, and treatment.4–17 These differences are related to both patient- and system-level factors, including socioeconomic and demographic factors, cultural beliefs, healthcare access, comorbid conditions, and tumor biology.6,17–28 Figure 3 illustrates how these influences interact and, in some areas, overlap, leading to a 36% excess mortality risk that is observed in AA women.29,30 In the paradigm depicted in Figure 3, the term ‘environment’ is used broadly to include external social or system factors that preclude early identification and treatment of breast cancer. One main area in this category is access to high-quality care that encompasses standard-of-care recommendations and opportunities to participate in clinical research trials. AA ethnicity is associated with later stage presentation that, in part, can be the result of difficulty in accessing the healthcare system in a timely fashion for financial and other reasons. In a recent study, 34% of AA women received inadequate mammography screening before their diagnosis of breast cancer.31 Reasons for inadequate mammography screening that include access-to-care issues fall under the category of ‘environmental’ causes and contribute to the higher prevalence of advanced breast tumors in AA women. In the AVONCBC at Grady Memorial Hospital, CHAs teach in the community about the benefits of screening and early detection. PNs also assist the case manager with work on mammography scheduling; and, through this mechanism, they help to assure patients timely access to care. Another integral factor that may be implicated in excessive mortality involves tumor characteristics or

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‘biology’ accounting for differences in outcomes from breast cancer. It is known that AA women are diagnosed more commonly with higher grade tumors, positive lymph node status, and estrogen receptor (ER)-negative/progesterone receptor (PR)negative tumors.3,32,33 In addition, p53 mutations or over expression,34–36 and the basal-like subtype (ERnegative/PR-negative/HER2-negative)34,37 are more prevalent in breast tumors among AA women. The challenges in this genetic category of causes for disparities are to continue to enforce screening recommendations for earlier diagnosis and to develop targeted therapies for treatment. More important, because these cancers can present between screening schedules,38–43 other screening strategies that identify these highly aggressive tumors earlier need to be developed and/or considered if indicated.5,44 In addition, treatment data suggest that AA women do not receive adequate chemotherapy dosing because of underlying neutropenia45 and that their tumors more often are intrinsically resistant to systemic therapies, suggesting that new therapies with activity against the basal-like subtype of breast cancer is a priority.46 These are yet other biologic examples that may lead to differences in outcomes from cancer therapy. In the AVONCBC at Grady Memorial Hospital, the PNs encourage patients to keep appointments. Each patient with newly diagnosed breast cancer has the opportunity to be assigned a PN. The PNs maintain contact with patients from postdiagnosis through the duration of the treatment process to encourage and facilitate patients to seek follow-up care as recommended. This patient tracking process includes surgical, medical oncology, and radiation oncology interventions. The PNs also are in contact with patients over the telephone or meet patients in the clinic during appointments if necessary. In the breast clinic, the PNs also directly interact with physicians, nursing staff, and social workers to assist in identifying and overcoming barriers to follow-up. Finally, lifestyle factors, such as comorbidities (obesity as 1 example), unhealthy exposures, and personal decisions regarding the use of care, also influence outcomes from breast cancer. Providing culturally relevant education and improved support systems that including outreach and navigation may influence a patient’s decision to accept appropriate prevention, screening, diagnostic studies, and treatment regimens for cancer care.7 The goal of our CHA and PN Program is to decrease disparities by improving access to care and dispelling fears among patients so that they seek those appropriate care options. A major role that the PNs play is to dispel

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fears of treatment and encourage compliance with care recommendations. This is important, because avoidance of appropriate healthcare leads to poorer outcomes from breast cancer. Later stage of presentation was not unique to the urban population in the current study; in fact, similar urban hospitals have faced the same problem. The Harlem Hospital Center in New York was the first to recognize an analogous situation in which lower income and under-uninsured women tended to present with later stage cancers, ultimately leading to a poorer prognosis and outcome.47 A pioneer Patient Navigation Program was established in Harlem and, soon after, many other comparable urban settings followed the Harlem paradigm.48 Our AVONCBC recognized in early 2000 the disproportional differences in stage of breast cancer and implemented the Community Education and Outreach Program, which has 2 components: the CHA Program and the PN Program (for training guidelines, see Table 1). To quantify the effect of the program over time, a cross-sectional analysis was performed examining disease stage at presentation by year from 2001 through 2004. During that period, there was a near doubling of stage 0 breast cancers along with a significant decrease of stage IV breast cancers. This reciprocal deviation of stage 0 versus stage IV breast cancers has implications on prognosis and, ultimately, on outcomes for these women if the recommended treatment guidelines are followed. Moreover, these data demonstrate that the community education and outreach initiatives may have had an impact on the observed stage migration. A limitation of the current study was inherent in the research design. Because this was a cross-sectional study, the results did not allow us to establish a causal relation between the community education and outreach initiatives and the effect on stage migration in this largely AA population of women. Prospective work is currently in progress to determine whether a particular patient who attended an intervention was diagnosed at an earlier stage. Similarly, prospective data are being collected to determine whether PNs influenced treatment and appointment adherence and to identify the underlying reasons for barriers to specific interventions in this underserved minority population. Although there has been an apparent increase in early-stage detection rates coupled with a decrease in stage IV detection rates, a priority after diagnosis in our PN program is to continue to work with patients to accept treatment recommendations as discussed and reviewed in our weekly patient quality

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care review conference. In a recent study of patients with stage III breast cancer who were treated in our AVONCBC from 2000 through 2005, 20.5% of patients refused chemotherapy, and 35.2% refused radiation treatment.49 In a study of our AVONCBC patient population diagnosed between 2003 and 2004, we observed that 30% of our patients who were diagnosed with the aggressive triple-negative (ERnegative/PR-negative/HER2-negative) breast cancer subtype did not receive chemotherapy, and a minority of those with ER-positive or PR-positive tumors were documented as having received some form of systemic hormone therapy.50 The vital role of the CHAs in encouraging mammography screening and stressing the importance of early diagnosis should be emphasized jointly with the PN roles in encouraging acceptance of and adherence to treatment standards. It is clear that the continued important work of the CHAs and PNs; the multidisciplinary breast tumor conferences; and the interactive dialogues between CHAs, PNs, social workers, nursing and support staff, and physicians will be crucial for improving breast cancer outcomes for all patients and particularly for the underserved.

REFERENCES 1.

2.

3.

4.

5.

6.

7.

8.

9.

American Cancer Society. Cancer Prevention and Early Detection, Facts andFigures 2007. Atlanta, Ga: American Cancer Society; 2007. Ries LAG, Eisner MP, Kosary CL, et al. SEER Cancer Statistics Review, 1975–2002. Bethesda, Md: National Cancer Institute; 2004. Available at: http://seer.cancer.gov/csr/ 1975_2002/, based on November 2004 SEER data submission, posted to the SEER website 2005. Accessed May 19, 2008. Lund MJ, Brawley OP, Ward KC, Young JL, Gabram SS, Eley WJ. Parity and disparity in first course treatment of invasive breast cancer. Breast Cancer Res Treat. 2007 Jul 21 [Epub ahead of print]. Li CI, Malone KE, Daling JR. Differences in breast cancer stage, treatment, and survival by race and ethnicity. Arch Intern Med. 2003;163:49–56. Chu KC, Lamar CA, Freeman HP. Racial disparities in breast carcinoma survival rates: separating factors that affect diagnosis from factors that affect treatment. Cancer. 2003;97:2853–2860. Dignam JJ. Differences in breast cancer prognosis among African-American and Caucasian women. CA Cancer J Clin. 2000;50:50–64. McWhorter WP, Mayer WJ. Black/white differences in type of initial breast cancer treatment and implications for survival. Am J Public Health. 1987;77:1515–1517. Newman LA, Theriault R, Clendinnin N, et al. Treatment choices and response rates in African-American women with breast carcinoma. Cancer. 2003;97(1 suppl):246–252. Caplan LS, Helzlsouer KJ, Shapiro S, et al. System delay in breast cancer in whites and blacks. Am J Epidemiol. 1995; 142:804–812.

10. Caplan LS, Helzlsouer KJ, Shapiro S, Wesley MN, Edwards BK. Reasons for delay in breast cancer diagnosis. Prev Med. 1996;25:218–224. 11. Dennis CR, Gardner B, Lim B. Analysis of survival and recurrence versus patient and doctor delay in treatment of breast cancer. Cancer. 1975;35:714–720. 12. Gwyn K, Bondy ML, Cohen DS, et al. Racial differences in diagnosis, treatment, and clinical delays in a populationbased study of patients with newly diagnosed breast carcinoma. Cancer. 2004;100:1595–1604. 13. Richards MA, Westcombe AM, Love SB, et al. Influence of delay on survival in patients with breast cancer: a systematic review [see comment]. Lancet. 1999;353:1119–1126. 14. Gregorio DI, Cummings KM, Michalek A. Delay, stage of disease, and survival among white and black women with breast cancer. Am J Public Health. 1983;73:590–593. 15. Lannin DR, Mathews HF, Mitchell J, et al. Influence of socioeconomic and cultural factors on racial differences in late-stage presentation of breast cancer. JAMA. 1998;279: 1801–1807. 16. Gates MF, Lackey NR, Brown G. Caring demands and delay in seeking care in African-American women newly diagnosed with breast cancer: an ethnographic, photographic study. Oncol Nurs Forum. 2001;28:529–537. 17. Li CI, Malone KE, Daling JR. Differences in breast cancer hormone receptor status and histology by race and ethnicity among women 50 years of age and older. Cancer Epidemiol Biomarkers Prev. 2002;11:601–607. 18. Bach PB, Schrag D, Brawley OW, et al. Survival of blacks and whites after a cancer diagnosis. JAMA. 2002;287:2106–2113. 19. Hunter CP, Redmond CK, Chen VW, et al. Breast cancer: factors associated with stage at diagnosis in black and white women. Black/White Cancer Survival Study Group. J Natl Cancer Inst. 1993;85:1129–1137. 20. Eley JW, Hill HA, Chen VW, et al. Racial differences in survival from breast cancer. Results of the National Cancer Institute Black/White Cancer Survival Study. JAMA. 1994; 272:947–954. 21. West DW, Satariano WA, Ragland DR, et al. Comorbidity and breast cancer survival: a comparison between black and white women. Ann Epidemiol. 1996;6:413–419. 22. Yood MU, Johnson CC, Blount A, et al. Race and differences in breast cancer survival in a managed care population. J Natl Cancer Inst. 1999;91:1487–1491. 23. Jatoi I, Becher H, Leake CR. Widening disparity in survival between white and African-American patients with breast carcinoma treated in the U.S. Department of Defense Healthcare system. Cancer. 2003;98:894–899. 24. Roetzheim RG, Gonzalez EC, Ferrante JM, et al. Effects of health insurance and race on breast carcinoma treatments and outcomes. Cancer. 2000;89:2202–2213. 25. Brawley OW. Disaggregating the effects of race and poverty on breast cancer outcomes [comment]. J Natl Cancer Inst. 2002;94:471–473. 26. Wojcik BE, Spinks MK, Optenberg SA. Breast carcinoma survival analysis for African-American and white women in an equal-access health care system. Cancer. 1998;82:1310–1318. 27. Chlebowski RT, Chen Z, Anderson GL, et al. Ethnicity and breast cancer: factors influencing differences in incidence and outcome. J Natl Cancer Inst. 2005;97:439–448. 28. Newman LA, Mason J, Cote D, et al. African-American ethnicity, socioeconomic status, and breast cancer survival: a meta-analysis of 14 studies involving over 10,000 African-American and 40,000 white American patients with carcinoma of the breast. Cancer. 2002;94:2844–2854.

Urban Breast Cancer Navigation Program/Gabram et al. 29. Newman LA, Griffith KA, Jatoi I, et al. Meta-analysis of survival in African-American and white American patients with breast cancer: ethnicity compared with socioeconomic status. J Clin Oncol. 2006;24:1342–1349. 30. Howard J, Hankey BF, Greenberg RS, et al. A collaborative study of differences in the survival rates of black patients and white patients with cancer. Cancer. 1992;69:2349–2360. 31. Smith-Bindman R, Miglioretti DL, Lurie N, et al. Does utilization of screening mammography explain racial and ethnic differences in breast cancer? Ann Intern Med. 2006;144: 541–553. 32. Chu KC, Anderson WF. Rates for breast cancer characteristics by estrogen and progesterone receptor status in the major racial/ethnic groups. Breast Cancer Res Treat. 2002; 74:199–211. 33. Chu KC, Anderson WF, Fritz A, et al. Frequency distributions of breast cancer characteristics classified by estrogen receptor and progesterone receptor status for 8 racial/ethnic groups. Cancer. 2001;92:37–45. 34. Carey L, Perou C, Livasy C, et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA. 2006;295:2492–2502. 35. Jones BA, Kasl SV, Howe CL, et al. African-American/white differences in breast carcinoma: p53 alterations and other tumor characteristics [see comment]. Cancer. 2004;101:1293–1301. 36. Porter PL, Lund MJ, Lin MG, et al. Racial differences in expression of cell cycle regulatory proteins in breast cancer: study of young African-American and white women in Atlanta. Cancer. 2004;100:2533–2542. 37. Lund MJ, Eley JW, Liff JM, et al. Racial differences in triple negative breast tumors among women in Atlanta [oral presentation]. Presented at the 97th Annual Meeting of the American Association for Cancer Research, Washington, DC, April 2, 2006. Abstract LB-4. 38. Holmberg L, Ponten J, Adami HO. The biology and natural history of breast cancer from the screening perspective. World J Surg. 1989;13:25–30. 39. Gilliland FD, Joste N, Stauber PM, et al. Biologic characteristics of interval and screen-detected breast cancers [comment]. J Natl Cancer Inst. 2000;92:743–749.

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40. Royak-Schaler R, Rose DP. Mammography screening and breast cancer biology in African-American women—a review. Cancer Detect Prev. 2002;26:180–191. 41. Buist DS, Porter PL, Lehman C, et al. Factors contributing to mammography failure in women aged 40–49 years. J Natl Cancer Inst. 2004;96:1432–1440. 42. Mandelson MT, Oestreicher N, Porter PL, et al. Breast density as a predictor of mammographic detection: comparison of interval-and screen-detected cancers. J Natl Cancer Inst. 2000;92:1081–1087. 43. Collett K, Stefansson IM, Eide J, et al. A basal epithelial phenotype is more frequent in interval breast cancers compared with screen detected tumors. Cancer Epidemiol Biomarkers Prev. 2005;14:1108–1112. 44. Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin. 2007;57:75–89. 45. Griggs JJ, Sorbero ME, Stark AT, et al. Racial disparity in the dose and dose intensity of breast cancer adjuvant chemotherapy. Breast Cancer Res Treat. 2003;81:21–31. 46. Finn RS, Dering J, Ginther C, et al. Dasatinib, an orally active small molecule inhibitor of both the src and abl kinases, selectively inhibits growth of basal-type/‘‘triplenegative’’ breast cancer cell lines growing in vitro. Breast Cancer Res Treat. 2007;105:319–326. 47. Freeman HP, Chu KC. Determinants of cancer disparities: barriers to cancer screening, diagnosis, and treatment. Surg Oncol Clin North Am. 2005;14:655–669. 48. Dohan D, Schrag D. Using navigators to improve care of underserved patients. Cancer. 2005;104:848–855. 49. Rizzo M, Reisman N, Gabram S, et al. Differences in treatment in stage III breast cancer in African-American women [abstract]. J Clin Oncol. 2007;25(pt I):18S. Abstract 504. 50. Lund MJB, Gabram SGA, Hatchett N, et al. High prevalence of triple negative breast cancers among black women in an urban cancer center [abstract]. Presented at the 29th Annual San Antonio Breast Cancer Symposium, San Antonio, Texas, December 14–17, 2006. Breast Cancer Res Treat. 2006;100(suppl 1):S141. Abstract 3052.