Racial Differences in Reasons for Failure to Receive Ovarian Cancer Treatment: An Analysis of National Cancer Database Cases (1998-2012)
Mary A Otoo1,2, Kent Hoskins3,4, Katherine C Brewer1, Anna B Beckmeyer-Borowko1, Caryn E Peterson1,2 and Charlotte E Joslin1,2,3*
1Division of Epidemiology & Biostatistics, University of Illinois 1603 W Taylor St, Chicago, IL 60612, USA
2Department of Ophthalmology and Visual Sciences, University of Illinois, 1855 W Taylor Street, M/C 648, Chicago, IL 60612, USA
3University of Illinois at Chicago Cancer Center, Cancer Control and Population Science Research Program, Chicago, IL 60612, USA
4Department of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL 60612, USA
*Corresponding author: Charlotte E. Joslin, 1855 W. Taylor St, Chicago, IL 60612, USA, Tel: 312-996-5410, Fax: 312-996-4255, E-mail: email@example.com
Int J Womens Health Wellness, IJWHW-1-005, (Volume 1, Issue 1), Short communication; ISSN: 2474-1353
Received: September 25, 2015 | Accepted: November 09, 2015 | Published: November 11, 2015
Citation: Otoo MA, Hoskins K, Brewer KC, Beckmeyer-Borowko AB, Peterson C, et al. (2015) Pregnancy after Rape. Int J Womens Health Wellness 1:005. 10.23937/2474-1353/1510005
Copyright: © 2015 Otoo MA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Aim: Non-Hispanic blacks (NHB) have poorer ovarian cancer survival rates than non-Hispanic whites (NHW). This difference is in part due to differences in treatment uptake. The objective of this study is to characterize racial differences in reasons for non-receipt of treatment among women diagnosed with epithelial ovarian cancer (OVCA) in the United States and Puerto Rico between 1998 and 2012.
Methods: NHB and NHW OVCA cases from National Cancer Database (NCDB; n = 173,617) were analyzed to assess differences in reasons for non-receipt of surgery and chemotherapy overall and by stage of cancer (I, II, III, and IV). Reasons for non-receipt of surgery and chemotherapy were characterized according to North American Association of Central Cancer Registries categorizations within NCDB. Chi-square test was used to assess racial differences in demographic and clinical variables. Stage-specific tests of proportions were conducted to examine racial differences for non-receipt of treatment.
Results: Among all women diagnosed, 3,665 (26.2%) of NHB versus 25,805 (16.2%) of NHW failed to receive surgery (< 0.01) and 4,566 (32.7%) of NHB versus 45,139 (28.3%) of NHW failed to receive chemotherapy (< 0.01). NHB were significantly younger in both treatment groups and differed significantly from NHW for each covariate analyzed. Significantly more NHB than NHW (6.7 vs. 4.4, p < 0.05) failed to undergo surgery due to patient, family or guardian refusal. Of those who did not receive chemotherapy, a greater proportion of NHB (4.9 vs. 3.4, p < 0.05) failed to receive chemotherapy as it was contraindicated due to patient risk factors.
Conclusion: Results demonstrate significant racial differences in the reasons for refusal of surgical and chemotherapeutic treatment in OVCA. Reasons for these racial differences should be examined further to better understand and mitigate racial disparities in OVCA treatment and survival.
Ovarian cancer treatment, Racial differences, Treatment refusal, Healthcare delivery
Cancer survival outcomes are significantly different between non-Hispanic blacks (NHB) and non-Hispanic whites (NHW). The American Cancer Society (ACS) currently reports the cancer death rate among NHB women to be 11% higher than NHW women . Cancer survival disparities may be in part due to treatment differences . Despite mixed results, some consistencies exist in black-white treatment differences for various cancers. African Americans (AA) are more likely to go untreated or receive partial treatment for breast, cervical and lung cancer . African Americans are also less likely to receive chemotherapy for colon cancer (59.3% vs. 70.4%, p < 0.01) . In addition, AA patients are also more likely to refuse recommended therapeutic interventions for pancreatic cancer compared to whites; AA are more likely to refuse surgery (9.0% vs. 3.3%, p = 0.001), refuse chemotherapy (5.6% vs. 2.9%, p = 0.02), and refuse radiation (3.8% vs. 1.6%, p = 0.04) . Similar findings exist in ovarian cancer treatment . NHB are less likely to receive guideline-concordant therapy (35.8% vs. 52.1%) . Additionally, in a meta-analysis of ovarian cancer studies, AA were less likely to receive surgical treatment than whites . Treatment options for ovarian cancer are dependent on many complex, interrelated factors (National Comprehensive Cancer Network, NCCN; NCCN v 2010, v 3.2012), and unique patient treatment options as well as patient cooperation with recommended therapy may vary, leading to different treatment outcomes. The underlying reasons for failure to receive treatment may also vary between persons, contributing to disparities in treatment and survival. The objective of this analysis is to characterize differences in reasons for failure to receive surgery or chemotherapy between NHB and NHW women diagnosed with epithelial ovarian cancer in the United States and Puerto Rico between 1998 and 2012 identified in the National Cancer Data Base (NCDB).
The study was reviewed by the University of Illinois at Chicago's Institutional Research Board (IRB) and determined exempt as secondary analysis of de-identified data. Secondary data for women diagnosed with epithelial ovarian cancer from 1998 to 2012 was obtained from NCDB, which is a joint program of the Commission of Cancer (CoC) and the American Cancer Society (ACS) that includes hospital registry data from over 1,500 CoC accredited hospitals and > 70% of cancer cases diagnosed in the U.S. . For the purposes of this study, participants were excluded if diagnosed with non-invasive or non-epithelial tumors. Exclusions also included patients who were younger than 20 years, of unspecified race or of a race other than NHB or NHW, and those with unknown or other governmental health insurance status (which wasn't specified further to appreciate if high or low-quality insurance), leaving a sample size of 173,617. Of these, the sample was further reduced to those who did not receive surgery (n = 29,470; 3,665 NHB and 25,805 NHW which represents 26.2% of NHB and 16.2% of NHW, respectively) and those who did not receive chemotherapy (n = 49,705; 4,566 NHB and 45,139 NHW which represents 32.7% of NHB and 28.3% of NHW, respectively). Subjects who did not receive surgery and did not chemotherapy were not mutually exclusive but analyses were done individually to capture racial differences in each treatment type.
Demographic and clinical data for women who did not receive surgery or chemotherapy in NCDB was analyzed to assess differences in reasons for failure to receive surgery or chemotherapy. The chi-square test was used to determine if the demographic variables (income, education, primary payor, year of diagnosis, facility type, facility location, urban/rural,) and clinical data (Charlson-Deyo Score, reason for no treatment) differed significantly between NHB and NHW. Stage-specific tests of proportions were conducted to examine racial differences for each reason for non- receipt of surgery or chemotherapy based on North American Association of Central Cancer Registries (NAACCR) item categorization. Stage of cancer was analyzed categorically (stage I, II, III, and IV). All analyses were conducted using SAS version 9.4 and statistical significance was set at a p-value < 0.05.
Table 1 presents the demographics of patients who did not receive surgery (NHB, n = 3665, 12.4%; NHW, n = 25,805, 87.6 %) or chemotherapy (NHB, n = 4566, 9.2%; NHW, n = 45,139, 90.8%). NHB were younger in both treatment categories (No Surgery, years: NHB, 68.8; NHW, 73.7; No Chemotherapy, years: NHB, 63.6; NHW, 65.6, both p < 0.01), and differed significantly from NHW for each covariate analyzed (Table 1). Notably, academic/research facilities were more likely to report NHB cases (No Surgery, 43.4% vs. 25.2% and No Chemotherapy, 44.8% vs. 32.6%, both p < 0.01). A greater percentage of NHB had no insurance (No Surgery, 6.7% vs. 2.8% and No Chemotherapy, 7.6% vs. 3.4%) and Medicaid (No Surgery, 10.9% vs. 3.3% and No Chemotherapy, 11.0% vs. 3.4%). In addition, NHB were more likely to reside in areas with a zip code-level income < $38,000 (No Surgery, 49.1% vs. 16.0% and No Chemotherapy, 46.2% vs. 14.8%, both p < 0.01) and more likely to live in areas where the zip code-level education for non-high school graduates was ≥ 21% (No Surgery, 30.8% vs. 14.1% and No Chemotherapy, 37.6% vs. 13.5%, both p < 0.01).
Table 1: Demographics of subjects who did not receive treatment View Table 1
Stage-specific and overall results are presented in table 2. Among women who did not receive surgery, a significantly higher proportion of NHB (6.7 vs. 4.4, p < 0.01) did not receive surgery due to patient, family or guardian refusal. The proportion of subjects who failed to receive surgery due to patient, family or guardian refusal was consistently higher in NHB across all stages. Of those who did not receive chemotherapy, a greater proportion of NHB (4.9 vs. 3.4, p < 0.01) failed to receive chemotherapy as it was contraindicated due to patient risk factors. The proportion of subjects who failed to receive chemotherapy due to contraindications differed across stages, but was generally higher in NHB then NHW (Table 2).
Table 2: Differences in the reasons for failure to receive surgery and chemotherapy by race and stage View Table 2
Chemotherapy and surgery are standard treatment options for ovarian cancer and failure to receive treatment is detrimental . Results demonstrate significant differences in the reasons for failure to receive surgery or chemotherapy between NHB and NHW. Our stage-specific results demonstrate a greater percentage of NHB had no insurance, had Medicaid and were also more likely to reside in areas with zip code-level income < $38,000. These places NHB in a lower socioeconomic status level and may contribute to these differences in treatment as daily stresses may interfere with their ability to visit hospitals multiple times to complete chemotherapy. Additionally, the type of medical coverage and financial burden from the cost of cancer may dictate their decisions on treatment, resulting in racial differences in non-receipt of treatment. These findings have implications as patient decisions of whether or not to receive surgery and/or chemotherapy create racial differences in ovarian cancer treatment, which may contribute to racial disparities in survival outcomes [2,11]. In comparison to other studies [7,8], these results indicate that NHB are more likely to refuse or have contraindications to cancer therapies. Although reasons for refusal of surgery among NHB are not fully understood, previous studies demonstrate blacks are more likely to express distrust in the health care system and have misconceptions about cancer acquisition and spread [12,13]. In addition, blacks are more likely to resort to spirituality for healing, with the believe that faith and prayer alone can cure cancer . Moreover, AA are more likely to opt for less invasive, less aggressive and less conventional treatments, and are more likely to use alternate cancer treatments [14,15]. Lastly, AA are less likely to believe in the efficacy of treatment options and are more likely to view death as a certain outcome of cancer diagnosis regardless of treatment .
Patient-physician relationships factors, which include poor interpersonal communication and strained relationships, which may be due in part to a mixed-race relationship, can affect treatment decisions. Blacks are more likely to report participatory physician communication when racially matched with a physician [13,16].
Results must be taken in context when considering study limitations. Reasons why a patient refused surgery were not included in the registry, nor were the specific patient risk factors contraindicating chemotherapy. Missing data on reasons for no treatment was limited and less than 5% (surgery or chemotherapy was recommended but not performed; no reasons recorded); notably, results were non-differential for surgery (overall; NHB 2.4 vs. NHW 2.5) and chemotherapy (overall; NHB 1.6 vs. NHW 1.0). Strengths of this study include analysis of the NCDB dataset, which is the largest and most comprehensive cancer registry dataset, and inclusive of all cancer cases from CoC-approved hospitals in the U.S. and Puerto Rico, approximating 70% of newly diagnosed cancer cases nationwide .
Results indicate significant differences in the reasons why NHB and NHW do not receive surgical and chemotherapeutic treatment in a large sample of women with ovarian cancer in the U.S. and Puerto Rico, which may contribute to racial disparities in ovarian cancer treatment and survival. This analysis represents initial work comparing reasons why NHB and NHW cancer patients fail to receive surgery or chemotherapy. Reasons for racial differences in non-receipt of treatment should be further examined to better understand racial disparities in treatment and survival outcomes in ovarian cancer.
American Cancer Society Research Scholar Grant RSG-13-380-01-CPHPS
The National Cancer Data Base (NCDB) is a joint project of the Commission on Cancer (CoC) of the American College of Surgeons and the American Cancer Society. The CoC's NCDB and the hospitals participating in the CoC NCDB are the source of the de-identified data used herein; they have not verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors.
American Cancer Society, Cancer Facts & Figures 2014.
Joslin CE, Brewer KC, Davis FG, K Hoskins, Peterson CE, et al. (2014) The effect of neighborhood-level socioeconomic status on racial differences in ovarian cancer treatment in a population-based analysis in Chicago Gynecol Oncol 135: 285-291
Shavers VL, Brown ML (2002) Racial and ethnic disparities in the receipt of cancer treatment. J Natl Cancer Inst 94: 334-357.
Baldwin LM, Dobie SA, Billingsley K, Cai Y, Wright GE, et al. (2005) Explaining black-white differences in receipt of recommended colon cancer treatment. J Natl Cancer Inst 97: 1211-1220.
Eloubeidi MA, Desmond RA, Wilcox CM, Wilson RJ, Manchikalapati P, et al. (2006) Prognostic factors for survival in pancreatic cancer: a population-based study. Am J Surg 192: 322-329.
Bristow RE, Powell MA, Al-Hammadi N, Chen L, Miller JP, et al. (2013) Disparities in ovarian cancer care quality and survival according to race and socioeconomic status. J Natl Cancer Inst 105: 823-832.
Harlan LC, Clegg LX, Trimble EL (2003) Trends in surgery and chemotherapy for women diagnosed with ovarian cancer in the United States. J Clin Oncol 21: 3488-3494.
Terplan M, Smith EJ, Temkin SM (2009) Race in ovarian cancer treatment and survival: a systematic review with meta-analysis. Cancer Causes Control 20: 1139-1150.
Winchester DP, Stewart AK, Phillips JL, Ward EE (2010) The national cancer data base: past, present, and future. Ann Surg Oncol 17: 4-7.
Gubbels JA, Claussen N, Kapur AK, Connor JP, Patankar MS (2010) The detection, treatment, and biology of epithelial ovarian cancer. J Ovarian Res 3: 8.
Morris AM, Rhoads KF, Stain SC, Birkmeyer JD (2010) Understanding racial disparities in cancer treatment and outcomes. J Am Coll Surg 211: 105-113.
Rawaf MM, Kressin NR (2007) Exploring racial and sociodemographic trends in physician behavior, physician trust and their association with blood pressure control. J Natl Med Assoc 99: 1248-1254.
Mehta RS, Lenzner D, Argiris A (2012) Race and health disparities in patient refusal of surgery for early-stage non-small cell lung cancer: a SEER cohort study. Ann Surg Oncol 19: 722-727.
George M, Margolis ML (2010) Race and lung cancer surgery--a qualitative analysis of relevant beliefs and management preferences. Oncol Nurs Forum 37: 740-748.
D Hardy, C-C Liu, R Xia, J N Cormier, W Chan, et al. (2009) Racial disparities and treatment trends in a large cohort of elderly black and white patients with nonsmall cell lung cancer. Cancer 115: 2199-2211.
Mead EL, Doorenbos AZ, Javid SH, Haozous EA, Alvord LA, et al. (2013) Shared Decision-Making for Cancer Care among Racial and Ethnic Minorities: a Systematic Review. Am J Public Health 103: e15-e29.