Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer
dc.contributor.author | Obeng‐gyasi, Samilia | |
dc.contributor.author | O’neill, Anne | |
dc.contributor.author | Zhao, Fengmin | |
dc.contributor.author | Kircher, Sheetal M. | |
dc.contributor.author | Lava, Timisina R. | |
dc.contributor.author | Wagner, Lynne I. | |
dc.contributor.author | Miller, Kathy D. | |
dc.contributor.author | Sparano, Joseph DA. | |
dc.contributor.author | Sledge, George W. | |
dc.contributor.author | Carlos, Ruth C. | |
dc.date.accessioned | 2021-02-04T21:52:26Z | |
dc.date.available | 2022-02-04 16:52:25 | en |
dc.date.available | 2021-02-04T21:52:26Z | |
dc.date.issued | 2021-01 | |
dc.identifier.citation | Obeng‐gyasi, Samilia ; O’neill, Anne ; Zhao, Fengmin; Kircher, Sheetal M.; Lava, Timisina R.; Wagner, Lynne I.; Miller, Kathy D.; Sparano, Joseph DA.; Sledge, George W.; Carlos, Ruth C. (2021). "Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer." Cancer Medicine 10(1): 45-52. | |
dc.identifier.issn | 2045-7634 | |
dc.identifier.issn | 2045-7634 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/166236 | |
dc.description.abstract | The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collectively including 9790 women. Insurance status at trial registration was categorized into private, government (Medicaid, Medicare, and other government type insurance), and self- pay. An Agency for Healthcare Research Quality (AHRQ) nSES index was calculated using residential zip codes linked to county level data on occupation, income, poverty, wealth, education, and crowding. Logistic regression and Cox Proportional Hazard models estimated odds ratios (OR) for chemotherapy treatment completion and hazard ratios (HR) for mortality, respectively, for insurance status and nSES. The models adjusted for: race, age, tumor size, nodal status, hormone receptor status, and primary surgery. The majority of patients had private insurance at trial registration: E1199: 85.6% (4154/4854) and E5103: 82.4% (3987/4836); median SES index was 53.8 (range: 41.8- 66.8) and 54.1 (range: 44.5- 66.1), respectively. Patients with government insurance were less likely to complete chemotherapy treatment (E1199 OR (95%CI): 0.73 (0.57- 0.94); E5103 0.76 (0.64- 0.91)) and had an increased risk of death (E1199 HR (95%CI): 1.44 (1.22- 1.70); E5103 1.29 (1.06- 1.58)) compared to the privately insured patients. There was no association between nSES and chemotherapy completion or overall mortality. Patients with government insurance at trial registration appeared to face barriers in chemotherapy completion and had a higher overall mortality compared to their privately insured counterparts. | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | breast cancer | |
dc.subject.other | insurance | |
dc.subject.other | clinical trials | |
dc.title | Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Hematology and Oncology | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166236/1/cam43542.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166236/2/cam43542_am.pdf | |
dc.identifier.doi | 10.1002/cam4.3542 | |
dc.identifier.doi | https://dx.doi.org/10.7302/159 | |
dc.identifier.source | Cancer Medicine | |
dc.identifier.citedreference | Alcaraz KI, Wiedt TL, Daniels EC, et al. Understanding and addressing social determinants to advance cancer health equity in the United States: a blueprint for practice, research, and policy. CA Cancer J Clin. 2019; 70: 31 - 46. | |
dc.identifier.citedreference | Newman LA. Breast cancer disparities: socioeconomic factors versus biology. Ann Surg Oncol. 2017; 24: 2869 - 2875. | |
dc.identifier.citedreference | Akinyemiju TF, Genkinger JM, Farhat M, et al. Residential environment and breast cancer incidence and mortality: a systematic review and meta- analysis. BMC Cancer. 2015; 15: 191. | |
dc.identifier.citedreference | Ayanian JZ, Kohler BA, Abe T, et al. The relation between health insurance coverage and clinical outcomes among women with breast cancer. N Engl J Med. 1993; 329: 326 - 331. | |
dc.identifier.citedreference | Sharrocks K, Spicer J, Camidge DR, et al. The impact of socioeconomic status on access to cancer clinical trials. Br J Cancer. 2014; 111: 1684 - 1687. | |
dc.identifier.citedreference | Murthy VH, Krumholz HM, Gross CP. Participation in cancer clinical trials: race- , sex- , and age- based disparities. JAMA. 2004; 291: 2720 - 2726. | |
dc.identifier.citedreference | Unger JM, Blanke CD, LeBlanc M, et al. Association of patient demographic characteristics and insurance status with survival in cancer randomized clinical trials with positive findings. JAMA Network Open. 2020; 3: e203842. | |
dc.identifier.citedreference | Sparano JA, Wang M, Martino S, et al. Weekly paclitaxel in the adjuvant treatment of breast cancer. N Engl J Med. 2008; 358: 1663 - 1671. | |
dc.identifier.citedreference | Sparano JA, Zhao F, Martino S, et al. Long- term follow- up of the E1199 phase III trial evaluating the role of taxane and schedule in operable breast cancer. J Clin Oncol. 2015; 33: 2353 - 2360. | |
dc.identifier.citedreference | Miller KD, O’Neill A, Gradishar W, et al. Double- blind phase III trial of adjuvant chemotherapy with and without bevacizumab in patients with lymph node- positive and high- risk lymph node- negative breast cancer (E5103). J Clin Oncol. 2018; 36: 2621 - 2629. | |
dc.identifier.citedreference | Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement. Content last reviewed April 2018. Agency for Healthcare Research and Quality, Rockville, MD. https://www.ahrq.gov/research/findings/final- reports/iomracereport/index.html | |
dc.identifier.citedreference | Berkowitz SA, Traore CY, Singer DE, et al. Evaluating area- based socioeconomic status indicators for monitoring disparities within health care systems: results from a primary care network. Health Serv Res. 2015; 50: 398 - 417. | |
dc.identifier.citedreference | Bhavsar NA, Gao A, Phelan M, et al. Value of neighborhood socioeconomic status in predicting risk of outcomes in studies that use electronic health record data. JAMA Netw Open. 2018; 1: e182716. | |
dc.identifier.citedreference | Ellis L, Canchola AJ, Spiegel D, et al. Trends in cancer survival by health insurance status in california from 1997 to 2014. JAMA Oncol. 2018; 4: 317 - 323. | |
dc.identifier.citedreference | Hsu CD, Wang X, Habif DV Jr, et al. Breast cancer stage variation and survival in association with insurance status and sociodemographic factors in US women 18 to 64 years old. Cancer. 2017; 123: 3125 - 3131. | |
dc.identifier.citedreference | Jemal A, Robbins AS, Lin CC, et al. Factors that contributed to black- white disparities in survival among nonelderly women with breast cancer between 2004 and 2013. J Clin Oncol. 2018; 36: 14 - 24. | |
dc.identifier.citedreference | Shi R, Mills G, McLarty J, et al. Commercial insurance triples chances of breast cancer survival in a public hospital. Breast J. 2013; 19: 664 - 667. | |
dc.identifier.citedreference | Silber JH, Rosenbaum PR, Ross RN, et al. Disparities in breast cancer survival by socioeconomic status despite medicare and medicaid insurance. Milbank Q. 2018; 96: 706 - 754. | |
dc.identifier.citedreference | Banegas MP, Guy GP Jr, de Moor JS, et al. For working- age cancer survivors, medical debt and bankruptcy create financial hardships. Health Aff (Millwood). 2016; 35: 54 - 61. | |
dc.identifier.citedreference | Carrera PM, Kantarjian HM, Blinder VS. The financial burden and distress of patients with cancer: Understanding and stepping- up action on the financial toxicity of cancer treatment. CA Cancer J Clin. 2018; 68: 153 - 165. | |
dc.identifier.citedreference | Hannon L 3rd, Sawyer P, Allman RM. Housing, the neighborhood environment, and physical activity among older African Americans. J Health Dispar Res Pract. 2012; 5: 27 - 41. | |
dc.identifier.citedreference | Jagsi R, Pottow JA, Griffith KA, et al. Long- term financial burden of breast cancer: experiences of a diverse cohort of survivors identified through population- based registries. J Clin Oncol. 2014; 32: 1269 - 1276. | |
dc.identifier.citedreference | Solar O, Irwin A. A conceptual framework for action on the social determinants of health. Social Determinants of Health Discussion Paper 2 (Policy and Practice). Geneva: World Health Organization;2010. | |
dc.identifier.citedreference | Akinyemiju TF, Soliman AS, Johnson NJ, et al. Individual and neighborhood socioeconomic status and healthcare resources in relation to black- white breast cancer survival disparities. J Cancer Epidemiol. 2013; 2013: 490472. | |
dc.identifier.citedreference | Schootman M, Lian M, Deshpande AD, et al. Temporal trends in area socioeconomic disparities in breast- cancer incidence and mortality, 1988- 2005. Breast Cancer Res Treat. 2010; 122: 533 - 543. | |
dc.identifier.citedreference | Shariff- Marco S, Yang J, John EM, et al. Impact of neighborhood and individual socioeconomic status on survival after breast cancer varies by race/ethnicity: the Neighborhood and Breast Cancer Study. Cancer Epidemiol Biomarkers Prev. 2014; 23: 793 - 811. | |
dc.identifier.citedreference | Rudowitz Robin GR, Elizabeth H. 10 things to Konw about Medicaid: setting the facts straight. Henry J Kaiser Family Foundation. 2019. http://files.kff.org/attachment/Issue- Brief- 10- Things- to- Know- about- Medicaid- Setting- the- Facts- Straight. | |
dc.identifier.citedreference | Hill SC, Abdus S, Hudson JL, et al. Adults in the income range for the Affordable Care Act’s Medicaid expansion are healthier than pre- ACA enrollees. Health Aff (Millwood). 2014; 33: 691 - 699. | |
dc.identifier.citedreference | Artiga Samantha HE. Beyond health care: The role of social determinants in promoting health and health equity, Kaiser Family Foundation; 2018. https://www.kff.org/racial- equity- and- health- policy/issue- brief/beyond- health- care- the- role- of- social- determinants- in- promoting- health- and- health- equity/ | |
dc.identifier.citedreference | Halpern MT, Bian J, Ward EM, et al. Insurance status and stage of cancer at diagnosis among women with breast cancer. Cancer. 2007; 110: 403 - 411. | |
dc.identifier.citedreference | Shi R, Taylor H, McLarty J, et al. Effects of payer status on breast cancer survival: a retrospective study. BMC Cancer. 2015; 15: 211. | |
dc.working.doi | 10.7302/159 | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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