Disparities in stage at diagnosis, treatment, and survival in nonelderly adult patients with cancer according to insurance status

The purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10 most deadly cancers using the SEER database. A total of 473,722 patients age 18 to 64 years who were diagnosed with one of the 10 most deadly ca...

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Vydáno v:Journal of clinical oncology Ročník 32; číslo 28; s. 3118
Hlavní autoři: Walker, Gary V, Grant, Stephen R, Guadagnolo, B Ashleigh, Hoffman, Karen E, Smith, Benjamin D, Koshy, Matthew, Allen, Pamela K, Mahmood, Usama
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 01.10.2014
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ISSN:1527-7755, 1527-7755
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Abstract The purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10 most deadly cancers using the SEER database. A total of 473,722 patients age 18 to 64 years who were diagnosed with one of the 10 most deadly cancers in the SEER database from 2007 to 2010 were analyzed. A Cox proportional hazards model was used for multivariable analyses to assess the effect of patient and tumor characteristics on cause-specific death. Overall, patients with non-Medicaid insurance were less likely to present with distant disease (16.9%) than those with Medicaid coverage (29.1%) or without insurance coverage (34.7%; P < .001). Patients with non-Medicaid insurance were more likely to receive cancer-directed surgery and/or radiation therapy (79.6%) compared with those with Medicaid coverage (67.9%) or without insurance coverage (62.1%; P < .001). In a Cox regression that adjusted for age, race, sex, marital status, residence, percent of county below federal poverty level, site, stage, and receipt of cancer-directed surgery and/or radiation therapy, patients were more likely to die as a result of their disease if they had Medicaid coverage (hazard ratio [HR], 1.44; 95% CI, 1.41 to 1.47; P < .001) or no insurance (HR, 1.47; 95% CI, 1.42 to 1.51; P < .001) compared with non-Medicaid insurance. Among patients with the 10 most deadly cancers, those with Medicaid coverage or without insurance were more likely to present with advanced disease, were less likely to receive cancer-directed surgery and/or radiation therapy, and experienced worse survival.
AbstractList The purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10 most deadly cancers using the SEER database.PURPOSEThe purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10 most deadly cancers using the SEER database.A total of 473,722 patients age 18 to 64 years who were diagnosed with one of the 10 most deadly cancers in the SEER database from 2007 to 2010 were analyzed. A Cox proportional hazards model was used for multivariable analyses to assess the effect of patient and tumor characteristics on cause-specific death.PATIENTS AND METHODSA total of 473,722 patients age 18 to 64 years who were diagnosed with one of the 10 most deadly cancers in the SEER database from 2007 to 2010 were analyzed. A Cox proportional hazards model was used for multivariable analyses to assess the effect of patient and tumor characteristics on cause-specific death.Overall, patients with non-Medicaid insurance were less likely to present with distant disease (16.9%) than those with Medicaid coverage (29.1%) or without insurance coverage (34.7%; P < .001). Patients with non-Medicaid insurance were more likely to receive cancer-directed surgery and/or radiation therapy (79.6%) compared with those with Medicaid coverage (67.9%) or without insurance coverage (62.1%; P < .001). In a Cox regression that adjusted for age, race, sex, marital status, residence, percent of county below federal poverty level, site, stage, and receipt of cancer-directed surgery and/or radiation therapy, patients were more likely to die as a result of their disease if they had Medicaid coverage (hazard ratio [HR], 1.44; 95% CI, 1.41 to 1.47; P < .001) or no insurance (HR, 1.47; 95% CI, 1.42 to 1.51; P < .001) compared with non-Medicaid insurance.RESULTSOverall, patients with non-Medicaid insurance were less likely to present with distant disease (16.9%) than those with Medicaid coverage (29.1%) or without insurance coverage (34.7%; P < .001). Patients with non-Medicaid insurance were more likely to receive cancer-directed surgery and/or radiation therapy (79.6%) compared with those with Medicaid coverage (67.9%) or without insurance coverage (62.1%; P < .001). In a Cox regression that adjusted for age, race, sex, marital status, residence, percent of county below federal poverty level, site, stage, and receipt of cancer-directed surgery and/or radiation therapy, patients were more likely to die as a result of their disease if they had Medicaid coverage (hazard ratio [HR], 1.44; 95% CI, 1.41 to 1.47; P < .001) or no insurance (HR, 1.47; 95% CI, 1.42 to 1.51; P < .001) compared with non-Medicaid insurance.Among patients with the 10 most deadly cancers, those with Medicaid coverage or without insurance were more likely to present with advanced disease, were less likely to receive cancer-directed surgery and/or radiation therapy, and experienced worse survival.CONCLUSIONAmong patients with the 10 most deadly cancers, those with Medicaid coverage or without insurance were more likely to present with advanced disease, were less likely to receive cancer-directed surgery and/or radiation therapy, and experienced worse survival.
The purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10 most deadly cancers using the SEER database. A total of 473,722 patients age 18 to 64 years who were diagnosed with one of the 10 most deadly cancers in the SEER database from 2007 to 2010 were analyzed. A Cox proportional hazards model was used for multivariable analyses to assess the effect of patient and tumor characteristics on cause-specific death. Overall, patients with non-Medicaid insurance were less likely to present with distant disease (16.9%) than those with Medicaid coverage (29.1%) or without insurance coverage (34.7%; P < .001). Patients with non-Medicaid insurance were more likely to receive cancer-directed surgery and/or radiation therapy (79.6%) compared with those with Medicaid coverage (67.9%) or without insurance coverage (62.1%; P < .001). In a Cox regression that adjusted for age, race, sex, marital status, residence, percent of county below federal poverty level, site, stage, and receipt of cancer-directed surgery and/or radiation therapy, patients were more likely to die as a result of their disease if they had Medicaid coverage (hazard ratio [HR], 1.44; 95% CI, 1.41 to 1.47; P < .001) or no insurance (HR, 1.47; 95% CI, 1.42 to 1.51; P < .001) compared with non-Medicaid insurance. Among patients with the 10 most deadly cancers, those with Medicaid coverage or without insurance were more likely to present with advanced disease, were less likely to receive cancer-directed surgery and/or radiation therapy, and experienced worse survival.
Author Walker, Gary V
Guadagnolo, B Ashleigh
Allen, Pamela K
Grant, Stephen R
Mahmood, Usama
Smith, Benjamin D
Hoffman, Karen E
Koshy, Matthew
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  surname: Walker
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  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
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  surname: Grant
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  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
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  surname: Guadagnolo
  fullname: Guadagnolo, B Ashleigh
  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
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  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
– sequence: 5
  givenname: Benjamin D
  surname: Smith
  fullname: Smith, Benjamin D
  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
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  surname: Koshy
  fullname: Koshy, Matthew
  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
– sequence: 7
  givenname: Pamela K
  surname: Allen
  fullname: Allen, Pamela K
  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL
– sequence: 8
  givenname: Usama
  surname: Mahmood
  fullname: Mahmood, Usama
  email: umahmood@mdanderson.org
  organization: Gary V. Walker, B. Ashleigh Guadagnolo, Karen E. Hoffman, Benjamin D. Smith, Pamela K. Allen, and Usama Mahmood, University of Texas MD Anderson Cancer Center; Gary V. Walker, University of Texas Health Science Center School of Biomedical Informatics; Stephen R. Grant, Baylor College of Medicine, Houston, TX; and Matthew Koshy, University of Chicago, Chicago, IL. umahmood@mdanderson.org
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Copyright 2014 by American Society of Clinical Oncology.
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Issue 28
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License 2014 by American Society of Clinical Oncology.
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PublicationTitle Journal of clinical oncology
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PublicationYear 2014
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References_xml – reference: 12773838 - Med Care. 2003 Jun;41(6):722-8
– reference: 20348064 - Health Aff (Millwood). 2010 Feb;29(2):230-2
– reference: 22213271 - Cancer. 2012 Sep 1;118(17):4271-9
– reference: 20939011 - Cancer. 2011 Jan 1;117(1):180-9
– reference: 21463888 - Gynecol Oncol. 2011 Jul;122(1):63-8
– reference: 19470927 - J Clin Oncol. 2009 Aug 1;27(22):3627-33
– reference: 12230422 - Arch Intern Med. 2002 Sep 23;162(17):1985-93
– reference: 20506039 - Cancer Causes Control. 2010 Sep;21(9):1445-50
– reference: 26195419 - J Urol. 2015 Aug;194(2):501-2
– reference: 19589471 - Womens Health Issues. 2009 Jul-Aug;19(4):221-31
– reference: 25737340 - CA Cancer J Clin. 2015 May-Jun;65(3):165-6
– reference: 17709617 - Arch Otolaryngol Head Neck Surg. 2007 Aug;133(8):784-90
– reference: 21131794 - Cancer J. 2010 Nov-Dec;16(6):614-21
– reference: 21074192 - J Urol. 2011 Jan;185(1):72-8
– reference: 22742058 - Am J Public Health. 2012 Sep;102(9):1782-90
– reference: 20549764 - Cancer. 2010 Sep 1;116(17):4178-86
– reference: 20705937 - Cancer Epidemiol Biomarkers Prev. 2010 Oct;19(10):2437-44
– reference: 23814512 - J Oncol Pract. 2013 Mar;9(2):73-7
– reference: 21041563 - Am J Respir Crit Care Med. 2010 Nov 1;182(9):1195-205
– reference: 8635041 - Cancer. 1995 Dec 1;76(11):2343-50
– reference: 22830435 - N Engl J Med. 2012 Sep 13;367(11):1025-34
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Snippet The purpose of this study was to determine the association of insurance status with disease stage at presentation, treatment, and survival among the top 10...
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SubjectTerms Adolescent
Adult
Healthcare Disparities - economics
Humans
Insurance Coverage - economics
Insurance, Health - economics
Kaplan-Meier Estimate
Medicaid - economics
Middle Aged
Neoplasm Staging
Neoplasms - pathology
Neoplasms - therapy
SEER Program - statistics & numerical data
United States
Young Adult
Title Disparities in stage at diagnosis, treatment, and survival in nonelderly adult patients with cancer according to insurance status
URI https://www.ncbi.nlm.nih.gov/pubmed/25092774
https://www.proquest.com/docview/1566110276
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