Literature DB >> 31965375

Insurance Status Predicts Survival in Women with Breast Cancer: Results of Breast and Cervical Cancer Treatment Program in California.

Rebecca A Nelson1, Zeynep Bostanci2, Veronica Jones2, Joanne Mortimer3, Amy Polverini2, Lesley Taylor2, Lisa Yee2, John H Yim2, Laura Kruper4.   

Abstract

BACKGROUND AND
PURPOSE: The Breast and Cervical Cancer Treatment Program (BCCTP) Act, passed by Congress in 2000, provides time-limited coverage to uninsured breast or cervical cancer patients. We examine survival differences between BCCTP cases and insured controls.
METHODS: Stage I-III breast cancer patients, covered under California's BCCTP from 2005 to 2009 (N = 6343), were 1:1 matched with California Cancer Registry controls on age, race/ethnicity, and cancer stage. Overall and disease-specific (OS and DSS) survival were compared using multivariate regression.
RESULTS: BCCTP cases were more often unmarried [odds ratio (OR) 2.47, 95% confidence interval (CI) 2.30-2.66], with poorly/undifferentiated tumors (OR 1.26, CI 1.13-1.40), classified as ER negative (OR 1.10, CI 1.02-1.20) and/or PR negative (OR 1.09, CI 1.01-1.17). Cases were more likely to undergo mastectomy (OR 1.13, CI 1.05-1.21) or no surgery (OR 1.64, CI 1.31-2.05) versus lumpectomy. Cases were also more likely to undergo radiation (OR 1.11, CI 1.03-1.19). Endocrine therapy rates were marginally lower in cases (OR 0.93, CI 0.86-1.00). OS and DSS were shorter in BCCTP cases on multivariate analysis (HR 1.29, CI 1.17-1.42 and HR 1.27, CI 1.14-1.42, respectively). When stratified by socioeconomic status (SES), cases had significantly shorter OS and DSS except in the lowest quintile. When stratified by stage, cases had significantly shorter OS and DSS, except for stage I.
CONCLUSIONS: The BCCTP provides uninsured breast cancer patients with comprehensive and timely care. Although our results suggest that BCCTP delivers quality care, BCCTP patients have shorter survival rates, even after accounting for SES and stage differences. Further assistance to vulnerable populations is warranted, including longer duration of treatment coverage, and surveillance adhering to NCCN compliant surveillance programs.

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Mesh:

Year:  2020        PMID: 31965375      PMCID: PMC8838883          DOI: 10.1245/s10434-019-08116-x

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  24 in total

1.  Quality of care for breast cancer for uninsured women in california under the breast and cervical cancer prevention treatment act.

Authors:  Jennifer L Malin; Allison L Diamant; Barbara Leake; Yihang Liu; Amardeep Thind; Katherine L Kahn; Eric C Schneider; Arnold M Epstein; Rose C Maly
Journal:  J Clin Oncol       Date:  2010-06-07       Impact factor: 44.544

2.  Software for optimal matching in observational studies.

Authors:  E J Bergstralh; J L Kosanke; S J Jacobsen
Journal:  Epidemiology       Date:  1996-05       Impact factor: 4.822

3.  Race and socio-economic status in survival from breast cancer.

Authors:  H H Dayal; R N Power; C Chiu
Journal:  J Chronic Dis       Date:  1982

4.  Associations among socioeconomic status, patterns of care and outcomes in breast cancer patients in a universal health care system: Ontario's experience.

Authors:  Alexander Kumachev; Maureen E Trudeau; Kelvin K W Chan
Journal:  Cancer       Date:  2015-12-22       Impact factor: 6.860

5.  The effects of a National Breast and Cervical Cancer Early Detection Program on social disparities in breast cancer diagnosis and treatment in Massachusetts.

Authors:  Melissa J Liu; Helen Hawk; Susan T Gershman; Suzanne M Smith; Ruth Karacek; Mary Lou Woodford; John Z Ayanian
Journal:  Cancer Causes Control       Date:  2005-02       Impact factor: 2.506

6.  Impact on survival of early detection of isolated breast recurrences after the primary treatment for breast cancer: a meta-analysis.

Authors:  W L Lu; L Jansen; W J Post; J Bonnema; J C Van de Velde; G H De Bock
Journal:  Breast Cancer Res Treat       Date:  2008-04-18       Impact factor: 4.872

7.  Social networks, social support and burden in relationships, and mortality after breast cancer diagnosis.

Authors:  Candyce H Kroenke; Yvonne Michael; Hilary Tindle; Elizabeth Gage; Rowan Chlebowski; Lorena Garcia; Catherine Messina; Joann E Manson; Bette J Caan
Journal:  Breast Cancer Res Treat       Date:  2012-02-14       Impact factor: 4.872

8.  Marital status and survival in patients with cancer.

Authors:  Ayal A Aizer; Ming-Hui Chen; Ellen P McCarthy; Mallika L Mendu; Sophia Koo; Tyler J Wilhite; Powell L Graham; Toni K Choueiri; Karen E Hoffman; Neil E Martin; Jim C Hu; Paul L Nguyen
Journal:  J Clin Oncol       Date:  2013-09-23       Impact factor: 44.544

9.  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.

Authors:  Lisa A Newman; James Mason; David Cote; Yael Vin; Kathryn Carolin; David Bouwman; Graham A Colditz
Journal:  Cancer       Date:  2002-06-01       Impact factor: 6.860

10.  Breast cancer stage, surgery, and survival statistics for Idaho's National Breast and Cervical Cancer Early Detection Program population, 2004-2012.

Authors:  Christopher J Johnson; Robert Graff; Patti Moran; Charlene Cariou; Susan Bordeaux
Journal:  Prev Chronic Dis       Date:  2015-03-19       Impact factor: 2.830

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